Dr. Michael Mascagni

Curriculum Vitae

| Biographical Information | Research and Creative Activity | Teaching and Training | Service |

Biographical Information

Name: Michael V. A. Mascagni

Birth Date: on request

Birthplace: Bologna, Italy with given name Michele V. A. Mascagni

Citizenship: United States of America, Repubblica Italiana

Postal Contact Information:

Department of Computer Science Department of Scientific Computing
Florida State University Florida State University
253 Love Building 400 Dirac Science Library
Tallahassee, FL 32306-4530  USA Tallahassee, FL 32306-4120  USA






Electronic Contact Information:

Office Telephones: +1.850.644.3290 (498 DSL), +1.850.644.6470 (262 Love)
Facsimile: +1.850.644.0098
E-mail: mascagni@fsu.edu or mascagni@math.ethz.ch
Homepage:  http://www.cs.fsu.edu/~mascagni



 

 

 

Academic Degrees:

Ph.D., Mathematics, October, 1987
Courant Institute of Mathematical Sciences, New York University, New York, NY; Dissertation Title: Negative Feedback in Neural Networks; Prof. Charles Peskin, Major Professor
M.S., Mathematics, October 1984
Courant Institute of Mathematical Sciences, New York University
B.S., Mathematics, with Highest Distinction, December 1981
University of Iowa, Iowa City, IA; Minor in Biological Sciences (formerly Zoology)
B.S.E., Biomedical Engineering, with Highest Distinction, May 1981
University of Iowa, Iowa City, IA

Awards:

2008
Fulbright Senior Specialist Roster, Council for International Exchange of Scholars, Washington, DC
2001
Developing Scholar (Associate Professor Research) Award, Florida State University, Tallahassee, FL
1988-1989
National Academy of Sciences/National Research Council Postdoctoral Fellowship used at Mathematical Research Branch, N.I.D.D.K., National Institutes of Health, Bethesda, MD

Academic Positions:

Summer 2007
Visiting Professor: Université de Toulon et du Var, Institut des Sciences de l'Ingénieur de Toulon et du Var, Modélisation Numérique et Couplages, Toulon, France; Prof. Sylvain Maire, Sponsor
Wintersemester 2005-06 - Sommersemeter 2006
Gastprofessor, Seminar für Angewandte Mathematik, Departement Mathematik, Eidgenössische Technische Hochschule (ETH), Swiss Federal Institute of Technology, Zürich, Switzerland; Prof. Dr. Rolf Jeltsch, Seminar Head, Prof. Dr. Wesley Petersen, Academic Host
2002-Present
Professor, Department of Computer Science, Florida State University, Tallahassee, FL; Dr. David Whalley, Chair
Sommersemeter 2002
Gastprofessor, Institut für Scientific Computing, Universität Salzburg, Salzburg, Austria; Prof. Dr. Peter Zinterhof, Chair
2001-Present
Professor, Department of Chemical and Biomedical Engineering, Florida State University, Tallahassee, FL; Dr. Michael H. Peters, Chair (Courtesy)
1999-Present
Professor, Department of Mathematics, Florida State University, Tallahassee, FL; Dr. Phillip Bowers, Chair (Courtesy)
1999-Present
Faculty Affiliate, School of Computational Science, Florida State University, Tallahassee, FL; Dr. Max Gunzburger, Director
1999-2002
Associate Professor, Department of Computer Science, Florida State University, Tallahassee, FL; Dr. Ted Baker, Chair
1997-1999
Director, University of Southern Mississippi/Center of Higher Learning Naval Oceanographic Office/Programming Environment and Training Research Program, Stennis Space Center, MS; Dr. Peter Ranelli, Technical Director, Center of Higher Learning
1997-1999
Coordinator, Ph.D. Program in Scientific Computing and Associate Professor of Mathematics: University of Southern Mississippi, Hattiesburg, MS; Dr. Grayson Rayborn, Director, School of Mathematical Sciences
1997-1999
Associate Professor, Department of Mathematics, University of Southern Mississippi, Hattiesburg, MS; Dr. Wallace Pye, Chairman
May 1996
Visiting Professor: Dipartimento di Metodi e Modelli Matematici per le Scienze Applicate (DMMMSA), Università degli Studi di Padova, Padova, Italy; Prof. Renato Spigler, Sponsor
1994-1995
Adjunct Professor: Georgetown University Department of Computer Science, Washington, D.C.; Dr. Timothy Law Snyder, Chair
1987
Adjunct Professor: Dept. of Computer Science, Courant Institute of Mathematical Sciences, New York University, New York, NY
1981-1983
Graduate Fellow in Biophysics; The Rockefeller University, New York, NY; Dr. Robert Shapley, Advisor

Other Professional Positions:

1989-1996
Research Staff Member: Center for Computing Sciences (formerly Supercomputing Research Center), Institute for Defense Analyses, Bowie, MD; Dr. Francis Sullivan, Director
1987-1996
NIH-NRC Research Associate/Guest Worker: Mathematical Research Branch, NIDDK, National Institutes of Health, Bethesda, MD; Dr. John Rinzel, Advisor
1996
Visiting Researcher: National Institute of Standards and Technology, Gaithersburg, MD; Dr. Judy Devaney, Sponsor
Summer 1995
Visiting Scientist: Research Institute for Advanced Computer Science (RIACS), NASA Ames Research Center, Moffett Field, CA; Dr. Robert Schreiber, Sponsor
Summer 1984
Courant Institute/IBM Summer Student: Department of Mathematical Sciences, IBM T. J. Watson Research Center, Yorktown Heights, NY; Dr. Willard Miranker, Advisor
Summer 1983
Summer Student in Numerical Weather Prediction: NASA Goddard Space Flight Center, Greenbelt, MD; Dr. Eugenia Kalnay and Mr. Dean Duffy, Advisors
 
Professional Society Memberships:
 
Association of Computing Machinery (ACM)
International Association for Mathematics and Computers in Simulation (IMACS)
Society of Industrial and Applied Mathematics (SIAM)
Society of Industrial and Applied Mathematics, Supercomputing (SC) Activity Group
Society of Industrial and Applied Mathematics, Computational Science and Engineering (CSE) Activity Group
The Speedup Society, The Swiss Forum for Grid and High-Performance Computing

Honor Society Memberships:

Phi Beta Kappa (National Liberal Arts Honor Society), Iowa Alpha Chapter
Tau Beta Pi (National Engineering Honor Society), Iowa Beta Chapter

Other Honors:

2009-Present
          Senior Member, Association of Computing Machinery (ACM)
2005-Present
          Member, Board of Directors, International Association for Mathematics and Computers in Simulation (IMACS)
2005-Present
          Member, Technical Committee on Monte Carlo Methods, International Association for Mathematics and Computers in Simulation (IMACS)
2004-Present
          Marquis Who's Who, Who's Who in Computational Science and Engineering
1999-Present
          Society of Industrial and Applied Mathematics (SIAM) Visiting Lecturer
1986-1987
          New York University, College of Arts and Science, New York, NY, Dean's Dissertation Fellowship
1983-1984
          New York University, Courant Institute of Mathematical Sciences, New York,  NY, Computational Fluid Dynamics Fellowship

Research and Creative Activity

Research Interests:

Books:

  1. A. Rasulov, M. Mascagni, G. Raimova, (2006),  Monte Carlo Methods  for the Solution of Linear and Nonlinear Boundary Value Problems, University of World Economics and Diplomacy Press, Tashkent, Uzbekistan, (in English), 347 pages.  This monograph focuses on the development and analysis of Monte Carlo methods for partial differential equations and integral equations.  Besides presenting results for linear problems, a considerable amount of time is spent on nonlinear problems, usually through their integral equation representations.

Refereed Chapters in Edited Volumes:

  1. Y. Li and M. Mascagni (2006), "An Overview of Grid-Based Monte Carlo Computing," Grid Technologies, Emerging from Distributed Architectures to Virtual Organizations, WIT Press, ISBN: 978-1-84564-055-2, M. P. Bekakos, G. A. Gravvanis and H. R. Arabnia, editors, pp. 391-421.  This paper provides an overview of computational infrastructure for parallel, distributed, and Grid-based Monte Carlo computations.  The starting point is the Scalable Parallel Random Number Generators (SPRNG) Library, and its uses for parallel and distributed Monte Carlo, and the discussion continues with a description of our Grid-Computing Infrastructure for Monte Carlo Applications (GCIMCA), and an extension of this point-of-view to workflows.  The paper then continues with consideration of quasi-Monte Carlo and the differences that arise in computing in this manner on the Grid with quasirandom numbers.  The work concludes with a summary and many open problems.
  2. C.-O. Hwang, J. A. Given, and M. Mascagni (2004), "First- and Last-Passage Algorithms for Diffusion Monte Carlo," New Vistas in Statistical Physics: Applications in Econophysics, Bioinformatics, and Pattern Recognition, L. T. Wille, editor, Springer Verlag: Berlin/New York, pp.  47-65.  This invited review paper summarizes first- and last-passage methods developed by our research group for solving problems in electrostatics, material science, and biochemistry.
  3. C.-O. Hwang, M. Mascagni and N. A. Simonov (2003), Monte Carlo Methods for the Linearized Poisson-Boltzmann Equation, Advances in Numerical Analysis, Nova Science Publishers, Inc., Hauppauge, NY, 20 pages.  This paper reviews several methods for the solution of the linear Poisson-Boltzmann equation via Monte Carlo methods.  In addition, the effectiveness of the various methods are illustrated on several examples.  Finally, one of the methods is applied to a complex application where the solution is used in a biochemical setting.  The Poisson-Boltzmann equation is becoming more important in applications where biomolecules are studied in solution.
  4. M. Mascagni (2003), "Random Number Generation," in CRC Standard Mathematical Tables and Formulae 31st Edition, D. Zwillinger, editor, Chapman and Hall/CRC, Boca Raton, pp. 644-649.  This invited chapter gives a review of the use of pseudorandom numbers to produce uniform real and integer variables and how to transform them into nonuniform distribution.  The volume where this chapter appears is a widely used reference for Mathematics and computational technique.
  5. M. Mascagni (2003), "Deterministic Monte Carlo Methods and Parallelism," Sourcebook on Parallel Computing, J. Dongarra, I. Foster, F. Fox, W. Gropp, K. Kennedy, L. Torcson, and A. White, editors, Morgan Kaufman Publishers, San Francisco, pp. 249-258.  This invited review of parallel quasi-Monte Carlo methods provides an overview of the subject and some new results for single eigenvalue computations.  This work is part of the summary document to be produced by the NSF funded Center for Research in Parallel Computing.
  6. A. Srinivasan, D. M. Ceperley, and M. Mascagni (1999), "Random Number Generators for Parallel Applications," in Monte Carlo Methods in Chemical Physics, D. M. Ferguson, J. I. Siepmann, and D. G. Truhlar, editors, Advances in Chemical Physics Series, Volume 105, John Wiley and Sons, New York, pp. 13-36.  This invited review presents an overview of parallel random number generation and the SPRNG library for the Monte Carlo community working in Physical Chemistry and Molecular Physics.
  7. M. Mascagni (1999), "Serial and Parallel Random Number Generation," in Quantum Monte Carlo in Physics and Chemistry, P. Nightingale and C. Umrigar, editors, Springer-Verlag: New York, Berlin, pp. 277-288.  This invited review presents an overview of parallel random number generation and the SPRNG library for the Quantum Monte Carlo community.  This paper was presented at the NATO Advanced Study Institute on Quantum Monte Carlo Methods in Physics and Chemistry.
  8. M. Mascagni (1997), "Some Methods of Parallel Pseudorandom Number Generation," in Algorithms for Parallel Processing, R. Schreiber, M. Heath and A. Ranade editors, Springer Verlag: New York, Berlin, pp. 277-288.  This invited review presents the discrete mathematics and number theory behind the use of parameterized pseudorandom number generators in parallel.  This paper was presented at the Institute for Mathematics and Its Applications during a special year in High Performance Computing Workshop on Algorithms for Parallel Processing.
  9. M. Mascagni and A. Sherman (1996), "Numerical Methods for Neuronal Modeling," in Methods of Neuronal Modeling: From Ions to Networks, Second Edition, C. Koch and I. Segev editors, MIT Press: Cambridge, Massachusetts, pp. 569-606.  This invited review is a second edition update of the review done in 1989 that is listed below.
  10. M. Mascagni (1996), "Parallel Wiener Integral Methods for Elliptic Boundary Value Problems: A Tale of Two Architectures," in Applications on Advanced Architecture Computers.  This invited chapter looks at SIMD and MIMD implementations of random walk based Monte Carlo algorithms for the solution of elliptic boundary value problems.
  11. M. Mascagni (1996), "Random Number Generation," in CRC Standard Mathematical Tables and Formulae 30th Edition, D. Zwillinger, editor, pp. 593-598.  This invited chapter gives a review of the use of pseudorandom numbers to produce uniform real and integer variables and how to transform them into nonuniform distribution.  The volume where this chapter appears is a widely used reference for Mathematics and Computational technique.
  12. M. Mascagni (1989), "Numerical Methods for Neuronal Modeling," in Methods of Neuronal Modeling: From to Networks to Ions, C. Koch and I. Segev editors, MIT Press: Cambridge, pp. 439-484.  This invited chapter reviews numerical methods for the solution of problems that arise in the quantitative simulation of the nervous system.  It presents finite-difference methods for the solution of ordinary and partial differential equations that arise, as well as methods for solving neural network type systems.  This chapter was based on material the author developed for the Methods in Computational Neuroscience course taught at the Marine Biological Laboratory for four summers.

Refereed International Journal Papers:

  1. Y.-W. Jung, B. Lu and M. Mascagni, "A Computational Study of Ion Conductance and Selectivity in the KcsA K+ Channel Using a Nernst-Planck Model with Explicit Resident Ions," Journal of Chemical Physics, in the press, 33 pages. This paper studies the potassium selectivity of the KcsA channel using the Nerst-Planck equation to model the electrostatic environment inside the ion channel.  The real channel actually has manyK + ions transiting simultaneously, and this paper takes that into account as well.
  2. M. Mascagni and H. Yu (2009), "Scrambled Soboĺ Sequences via Permutation," Monte Carlo Methods and Applications, in the press, 16 pages.  This paper describes a general, bit-wise, scrambling technique that is first applied to the Soboĺ Sequence. Bits from an unscrambled Soboĺ Sequence are scrambled by choosing a random permutation based on the number of bits chosen for scrambling.  The scrambled results are very good, and this technique has been incorporated in to the SPRNG software architecture.
  3. Y. Li, M. Mascagni and A. Gorin (2009), "A Decentralized Parallel Implementation for Parallel Tempering Algorithm,"  Parallel Computing, 35(5): 269-283.  This paper discusses parallel Tempering (PT), also known as Replica Exchange, which is a powerful Markov Chain Monte Carlo sampling approach which aims at reducing the relaxation time in simulations of physical systems. In this paper, we present a novel implementation of PT, so-called decentralized replica exchange PT, using MPI and the Scalable Parallel Random Number Generators (SPRNG) libraries. By adjusting the replica exchange operations in the original PT algorithm, and taking advantage of the characteristics of pseudorandom number generators, this implementation minimizes the overhead caused by interprocessor communication in replica exchange in PT. This enables one to efficiently apply PT to large-scale massively parallel systems. The efficiency of this implementation has been demonstrated in the context of various benchmark energy functions.
  4. A. Rasulov, G. Raimova and M. Mascagni (2008), "Monte Carlo Solution of Some Nonlinear Parabolic Initial-Value Problems," Mathematics and Computers in Simulation, 9 pages, in the press.  This paper presents a Markov chain-based algorithm for solving the pure initial-value problem for a class of nonlinear parabolic equations.  The nonlinearity is dealt with with a branching Markov chain, and numerical results are presented as further evidence of efficacy.
  5. C.-O. Hwang, M. Mascagni and T. Won (2008), "Monte Carlo Methods for Computing the Capacitance of the Unit Cube: A Review,"  Mathematics and Computers in Simulation, 11 pages, in the press.  This paper reviews Monte Carlo methods for computing the capacitance of the unit cube to high accuracy.  Based on this, the walk-on-planes (WOB) and walk-on-the-boundary (WOB) methods are analyzed for their computational efficiency.  WOB is found to be superior and is subsequently used to provide a more accurate, and confirmatory, numerical result.
  6. N. Simonov, M. Mascagni and M. O. Fenley (2007), "Monte Carlo Based Linear Poisson-Boltzmann Approach Makes Accurate Salt-Dependent Solvation Free Energy Predictions Possible," Journal of Chemical Physics, 127: 18505.  This paper uses Monte Carlo techniques developed by the authors to make computations of the solvation free energy over a wide range of salt concentrations.  The problems solved involve the implicit solvent model, Poisson-Boltzmann equation, and the results obtained agree with other computational results as well as experimental results.  In addition, these computations explicitly benefit from another advantage of using Monte Carlo in these computations, the ability to use a single simulation to compute the energies at all of the different salt concentrations.
  7. Y. Li and M. Mascagni (2005), "Grid-based Quasi-Monte Carlo Applications," Monte Carlo Methods and Applications, 11: 39-55.  This paper presents preliminary results on extending the Grid-based Monte Carlo services to quasi-Monte Carlo.  Experiments using scrambled quasirandom numbers are also presented.
  8. H. Chi, M. Mascagni, and T. Warnock (2005), "On the Scrambled Halton Sequence," Mathematics and Computers in Simulation, 70(1): 9-21.  This paper analyzes the two-dimensional correlations in the Halton sequence, and based on this analysis presents a new way to find an optimal scrambling (derandomization) of the Halton sequence.  The efficacy of this new scrambling is numerically demonstrated to be far superior to the unscrambled Halton sequence on a very difficult high-dimensional integral.  This paper is joint with Tony Warnock, a Halton student.
  9. M. Mascagni and N. A. Simonov (2004), "Monte Carlo Methods for Calculating Some Physical Properties of Large Molecules," SIAM Journal on Scientific Computing, 26(1): 339-357.  This paper carefully presents a Monte Carlo algorithm for computing the solution of an internal Poisson and external linearized Poisson-Boltzmann problem for molecular geometries.  An analysis of the Monte Carlo estimators is given, as well as a detailed computational complexity analysis.  Finally, a simple problem involving two spherical molecules is solved with the methods described in the paper.
  10. M. Mascagni and H. Chi (2004), "Parallel Linear Congruential Generators with Sophie-Germain Moduli," Parallel Computing, 30: 1217-1231.  This paper considers the use of Sophie-Germain primes, primes of the form m=2p+1 where p is also prime, for use in parameterized linear congruential generators.  It is shown that this choice minimizes initialization time, maximizes the number of streams for a given prime modulus, and provides fast generation when particular Sophie-Germain moduli are used.
  11. A. Karaivanova, M. Mascagni and N. Simonov (2004), "Parallel Quasirandom Walks on the Boundary," Monte Carlo Methods and Applications, 10: 311-320.  This paper studies the us of quasirandom numbers in the solution problems using the "random walk on the boundary" Monte Carlo algorithm.  The analysis and numerical results show that a small but significant improvement in convergence rate is seen over traditional Monte Carlo on this algorithm.
  12. M. Mascagni and H. Chi (2004), "On the Scrambled Halton Sequence," Monte Carlo Methods and Applications, 10: 435-442.  This paper analyzes the two-dimensional correlations in the Halton sequence, and based on this analysis presents a new way to find an optimal scrambling (derandomization) of the Halton sequence.  The efficacy of this new scrambling is numerically demonstrated to be far superior to the unscrambled Halton sequence on a very difficult high-dimensional integral.
  13. Y. Li, M. Mascagni, R. van Engelen and Q. Cai (2004), "A Grid Workflow-Based Monte Carlo Simulation Environment," Neural Parallel and Scientific Computations, 12: 439-454.  This paper takes our previous work on grid services for Monte Carlo and views these services in a workflow setting.
  14. N. A. Simonov and M. Mascagni (2004), "Random Walk Algorithms for Estimating Effective Properties of Digitized Porous Media," Monte Carlo Methods and Applications, 10: 599-608.  This paper describes a Monte Carlo method for permeability calculations in complex digitized porous structures.  The results of computational experiments for some random models of porous media confirm the log-normality hypothesis for the permeability distribution.
  15. A. Rasulov, A. Karaivanova and M. Mascagni (2004), "Quasirandom in Branching Random Walks," Monte Carlo Methods and Applications, 10: 551-558.  This paper studies the effects of using quasirandom numbers in the generation of branching walks used to solved certain nonlinear boundary-value problems.  A slight improvement in convergence rate is seen.
  16. M. Mascagni and N. A. Simonov (2004), "The Random Walk on the Boundary Method for Calculating Capacitance," Journal of Computational Physics, 195(2): 465-473. This paper describes the random walk on the boundary Monte Carlo method, and applies it to the calculation of the capacitance of the unit cube. This calculation is the most accurate known.
  17. C.-O. Hwang and M. Mascagni (2004), "Electrical Capacitance of the Unit Cube," Journal of Applied Physics, 95(7): 3798-3802.  This paper presents a new computation of the capacitance of the unit cube using a first-passage variant based on walks on planes.  The computed results are consistent with our previous computations, and has a slightly smaller set of error bars.
  18. M. Mascagni and A. Srinivasan (2004), "Parameterizing Parallel Multiplicative Lagged-Fibonacci Generators," Parallel Computing, 30: 899-916.  This paper shows how to parameterize full-period multiplicative lagged-Fibonacci generators via the seed, and then how to use this to produce a parallel version of the generator.  This generator is now used in the SPRNG library.
  19. C.-O. Hwang and M. Mascagni (2003), "Analysis and Comparison of Green's Function First-Passage Algorithms with "Walk on Spheres" Algorithms," Mathematics and Computers in Simulation, 63: 605-613.  This paper shows that the Green's function first-passage (GFFP) algorithm is always more efficient that the "walk on spheres" algorithm for solving elliptic PDEs.  In addition, the complexity of GFFP is analyzed.
  20. M. Mascagni and C.-O. Hwang (2003), "e-Shell Error Analysis of Walk on Spheres Algorithms," Mathematics and Computers in Simulation, 63: 605-613.  This paper provides analytic and empirical evidence that the error associated the the e-shell used in Walk on Spheres algorithms is linear in e.  This result motivates the preferential usage of the Green's function first-passage method over Walk on Spheres when both are applicable.
  21. C.-O. Hwang, M. Mascagni and J. A. Given (2003), "A Feynman-Kac Path-Integral Implementation for Poisson's Equation Using an h-conditioned Green's Function," Mathematics and Computers in Simulation, 62: 347-355.  This paper presents a new random walk method for solving the Poisson equation using the Feynman-Kac formula using only a small number of points in a Brownian trajectory.
  22. Y. Li and M. Mascagni (2003), "Analysis of Large-scale Grid-based Monte Carlo Applications,"  International Journal of High Performance Computing Applications (IJHPCA), 17(4): 369-382.  This paper provides an overview of the M-out-of-N technique for Grid-based Monte Carlo.  Also, methods for producing trustworthy Monte Carlo computations are presented.
  23. A. Srinivasan, M. Mascagni, and D. Ceperley  (2003), "Testing Parallel Random Number Generators,"  Parallel Computing, 29: 69-94.  This paper provides a mathematical framework for testing parallel random number generators and also motivates the construction of the SPRNG test suite.  In addition, results from extensive parallel testing of multiplicative lagged-Fibonacci generators, candidates for SPRNG, are presented.
  24. J. A. Given, C.-O. Hwang and M. Mascagni (2002), "First- and last-passage Monte Carlo algorithms for the charge density distribution on a conducting surface," Physical Review E, 66, 056704, 8 pages.  This paper presents two new Monte Carlo algorithms based on the concept of "last-passage" diffusion.  These methods are compared with each other and with the best first-passage algorithm for computing the charge density on a circular disk held at unit potential.
  25. C.-O. Hwang, J. A. Given and M. Mascagni (2001), "The Simulation-Tabulation Method for Classical Diffusion Monte Carlo," Journal of Computational Physics, 174: 925-946.  This paper shows how simulated Green's functions, simulation-tabulation, can be used to augment our Green's function first-passage Monte Carlo method.  The utility of simulation-tabulation is verified by solving problems from materials science and biochemistry.
  26. M. Mascagni, A. Karaivanova and Y. Li (2001), "A Quasi-Monte Carlo Method for Elliptic Partial Differential Equations," Monte Carlo Methods and Applications, 7: 283-294.  This paper presents new bounds on errors associated with the use of quasirandom numbers in Markov chain-based methods for the solution of elliptic partial differential equations.
  27. C.-O. Hwang, M. Mascagni and J. A. Given (2001), "Rapid Diffusion Monte Carlo Algorithms for Fluid Dynamic Permeability," Monte Carlo Methods and Applications, 7: 213-222.  This paper uses our Green's function first-passage Monte Carlo method to compute the permeability of a wide class of porous media models considerably extending our previous results. 
  28. C.-O. Hwang and  M. Mascagni (2001), "Efficient Modified Walk on Spheres Algorithm for the Linearized Poisson-Boltzmann Equation," Applied Physics Letters, 76: 787-789.  This paper presents an improved method for using the Feynman-Kac formula as the basis for a Monte Carlo algorithm to solve the linearized Poisson-Boltzmann equation.  This is accomplished with a new probability that is used to terminate random walks in the linearized Poisson-Boltzmann case.
  29. M. Mascagni and A. Karaivanova (2000), "Matrix Computations Using Quasirandom Sequences,"  Springer Verlag Lecture Notes in Computer Science, 1988: 552-559.  This paper presents new methods and error bounds for using quasi-Monte Carlo methods for computing eigenvalues of large, sparse matrices.
  30. M. Mascagni and A. Srinivasan (2000), "Algorithm 806: SPRNG: A Scalable Library for Pseudorandom Number Generation," ACM Transactions on Mathematical Software, 26: 436-461.  This paper describes the SPRNG library and gives an overview of the mathematical foundation for the random number generators in SPRNG, the computational techniques used in parallelization, the randomness testing suite in SPRNG, and shows how the library can be used to provide reliable and reproducible parallel Monte Carlo computations.  SPRNG is the first library of its kind.
  31. C.-O. Hwang, J. A. Given and M. Mascagni (2000), "On the Rapid Calculation of Permeability for Porous Media Using Brownian Motion Paths," Physics of Fluids, 12: 1699-1709.  This paper derives our Green's function first-passage Monte Carlo method and applies it to the computation of the fluid permeability of porous media made up of overlapping and nonoverlapping monosized spheres.  This new method is the fastest method known for doing these kinds of calculations.
  32. M. Mascagni (1998), "Parallel Linear Congruential Generators with Prime Moduli," Parallel Computing, 24: 923-936.  This paper derives a method for parameterizing primitive roots modulo a prime and uses this as the basis for providing parallel linear congruential random numbers.  In addition, an efficient algorithm for finding the ith integer relatively prime to given, factored, integer is presented.
  33. M. Mascagni, M. L. Robinson, D. V. Pryor and S. A. Cuccaro (1995), "Parallel Pseudorandom Number Generation Using Additive Lagged-Fibonacci Recursions", Springer Verlag Lecture Notes in Statistics, 106: 263-277.  This paper proves bounds on exponential sum bounds used to estimate the cross-correlation between different random number streams produced using our parallelization of additive lagged-Fibonacci generators.
  34. M. Mascagni, S. A. Cuccaro, D. V. Pryor and M. L. Robinson (1995), "A Fast, High Quality, and Reproducible Parallel Lagged-Fibonacci Pseudorandom Number Generator", Journal of Computational Physics, 119: 211-219.  This paper presents a novel parameterization of additive lagged-Fibonacci generators based on seeding.  This approach is used as the basis of providing a parallel version of this generator that requires no interprocessor communication while assuring that different processors get distinct random number streams.
  35. A. Sherman and M. Mascagni (1994), "A Gradient Random Walk Method for Two-Dimensional Reaction-Diffusion Equations'', SIAM Journal on Scientific Computing, 15: 1280-1293.  This paper presents and analyzes a Monte Carlo method for solving two-dimensional reaction-diffusion equations.  The method is related to the random vortex method for the two-dimensional incompressible Navier-Stokes equations, and the paper also presents numerical evidence of it's effectiveness.
  36. M. Mascagni (1991), "A Parallelizing Algorithm for Computing Solutions to Arbitrarily Branched Neuron Models," Journal of Neuroscience Methods, 36: 105-114.  This paper presents a parallel algorithm for solving coupled, branching, one-dimensional nonlinear reaction-diffusion equations based on finite-difference methods.  These kinds of equations arise in the realistic modeling of the nervous system.
  37. M. Mascagni (1991), "High-Dimensional Numerical Integration and Massively Parallel Computing," Contemporary Mathematics, 115: 53-73.  This paper presents parallel data-parallel methods for doing deterministic and Monte Carlo high-dimensional numerical integration using parallel prefix methods.  In addition, data-parallel techniques for Monte Carlo solution of partial differential equations based on random walks is presented along with numerical examples performed on the CM-2 massively parallel computer.
  38. M. Mascagni (1990), "The Backward Euler Method for Numerical Solution of the Hodgkin-Huxley Equations of Nerve Conduction," SIAM Journal on Numerical Analysis, 27: 941-962.  This method analyzed the convergence of the backward Euler method for the finite-difference solution of the Neumann initial-boundary value problem for the Hodgkin-Huxley equations of nerve conduction.  Convergence is proved with the help of derived a priori bounds for solutions to the nonlinear difference equations.
  39. M. Mascagni (1990), "In Initial-Boundary Value Problem of Physiological Importance for Equations of Nerve Conduction," Communications on Pure and Applied Mathematics, 42: 213-227.  The paper proves well-posedness in the sense of Hadamard for the Neumann initial-boundary value problem for the Hodgkin-Huxley equations of nerve conduction.  In addition, a priori bounds on the solution of this nonlinear system of partial differential equations.
  40. M. Mascagni (1989), "Animation's Role in Mathematically Modeling the Nervous System," Iris Universe, Winter 1989: 6-18.  This paper presents computational results obtained in the numerical modeling of a ring of Hodgkin-Huxley neurons with passive dendritic segments.  In particular, a presentation level visualization of the results is presented as well as a discussion of new visualization tools that allow rapid qualitative analysis of the large data sets produced in realistic neural modeling.
  41. M. Mascagni and W. L. Miranker (1985), "Arithmetically Improved Algorithmic Performance," Computing, 35: 153-175.  This paper presents theoretical and numerical evidence that numerical algorithms sensitive to numerical accuracy can be significantly improved by using augmented floating-point arithmetic to exactly compute inner products.  This augmented arithmetic was implemented in hardware in IBM 370 series mainframe with the ACRITH product.
  42. W. L. Miranker, M. Mascagni, and S. Rump (1985), "Case Studies for Augmented Floating-Point Arithmetic," Lecture Notes in Computer Science, 235: 86-118.  This paper provides numerical examples from poorly posed problems arising from finite-difference solutions of ordinary and partial differential equations, and numerical linear algebra to  motivate the use of augmented floating-point arithmetic to exactly compute inner products.

Invited International Publications:

  1. M. Mascagni (1999), "Parallel Pseudorandom Number Generation," SIAM News, August, pp. 1,8-10.  This article provides a general presentation of the mathematical and computational underpinnings of parallel random number generation.  In particular, the problem of parallel reproducibility and the solution of parameterized random number generations id discussed.
  2. M. Mascagni (1998), "High-Performance Monte Carlo Tools," IEEE Computational Science and Engineering, 5(2): 97-98.  This article summarizes the results of a workshop on High-Performance Monte Carlo Tools.
  3. M. Mascagni (1990), "Parallel Wiener Integral Methods for Elliptic Boundary Value Problems: A Tale of Two Architectures," SIAM News, July, pp. 27-33.  This article looks at SIMD and MIMD implementations of random walk based Monte Carlo algorithms for the solution of elliptic boundary value problems.  It was reprinted as item 6 among the refereed book chapters, above.

Refereed International Conference Papers:

  1. M. Mascagni and J. Ren (2008), "New Development in the Scalable Parallel Random Number Generator (SPRNG) Library," The Institute of Statistical Mathematics Cooperative Research Report, 210: 120-125.  The Scalable Parallel Random Number Generators (SPRNG) Library is a widely used software package for random number generation in high-performance computing settings.  In this paper, we provide an overview of SPRNG and especially discuss its recent developments. First, we give a very short review of random number generators and their applications to Monte Carlo computations. Then, we discuss some methods of parallel random number generation, and give the rationale for SPRNG. We next discuss about the past versions of SPRNG and the most recent version, version 4.0. Finally, webriefly discuss the impact of SPRNG and speculate on possible future work to SPRNG.
  2. M. Mascagni (2008), "Random Number Generation : A Practitioner's Overview," The Institute of Statistical Mathematics Cooperative Research Report, 210: 97-119.  This gives a comprehensive overview of pseudorandom number generation, parallel pseudorandom number generation, and quasirandom number generation.  The presentation is motivated by an applications-based point-of-view.
  3. Y. Li, M. Mascagni and A. Gorin (2007), "Decentralized Replica Exchange Parallel Tempering: An Efficient Implementation of Parallel Tempering Using MPI and SPRNG," Lecture Notes in Computer Science, 4707: 507-519.  This was a paper given at the international conference entitled Computational Science and Its Applications (ICCSA 2007) in Kuala Lumpur, Malaysia in August, 2007.  This paper discusses parallel Tempering (PT), also known as Replica Exchange, which is a powerful Markov Chain Monte Carlo sampling approach which aims at reducing the relaxation time in simulations of physical systems. In this paper, we present a novel implementation of PT, so-called decentralized replica exchange PT, using MPI and the Scalable Parallel Random Number Generators (SPRNG) libraries. By adjusting the replica exchange operations in the original PT algorithm, and taking advantage of the characteristics of pseudorandom number generators, this implementation minimizes the overhead caused by interprocessor communication in replica exchange in PT. This enables one to efficiently apply PT to large-scale massively parallel systems. The efficiency of this implementation has been demonstrated in the context of various benchmark energy functions, such as the high-dimensional Rosenbrock function, and a rugged funnel-like function.
  4. H. Chi and M. Mascagni (2007), "Efficient Generation of Parallel Quasirandom Sequences via Scrambling," Lecture Notes in Computer Science, 4487: 723-730.  This was a paper given at the international conference entitled International Conference on Computational Science 2007 (ICCS 2007), held May 2007 in Beijing, People's Republic of China.  This paper proposes an alternative approach for generating parallel quasirandom sequences. We take a single quasirandom sequence and provide different random digit scramblings of the given sequence. The exact meaning of the digit scrambling we use depends on the mathematical details of the quasirandom number sequence's method of generation. For the Faure sequence we scramble by modifying the generator matrices in the definition. The obtained sequences are very interesting as the scrambled versions used in individual processes are of higher quality than the original Faure sequence. Thus, we not only obtain the expected near-perfect speedup of the naturally parallel Monte Carlo methods, but the errors in the parallel computation is even smaller than if the computation were done with the same quantity of quasirandom numbers using the original, unscrambled, Faure sequence.
  5. N. A. Simonov and M. Mascagni (2005), "The Method of Random Walk on Sphere for Solving Boundary-Value problems for Molecular Electrostatics, Proceedings of the 17th IMACS World Congress, 5 pages published on compact disc, July, 2005.  This paper presents preliminary results for a new method for evaluating internal boundary conditions that arise in molecular electrostatics computations.  The methods were developed to work in concert with existing Monte Carlo methods for solving the entire PDE system, and are a significant improvement on a finite-difference based method previously developed.  Not only is performance enhanced by an order of magnitude, but a bias from the finite-difference based method is eliminated. 
  6. Y. Li and M. Mascagni (2005), "A Bio-inspired Job Scheduling Algorithm for Monte Carlo Applications on a Computational Grid," Proceedings of the 17th IMACS World Congress, 7 pages published on compact disc, July, 2005.  In this paper we present a bio-inspired job scheduling mechanism that enables the adaptation of large-scale, naturally parallel and compute-intensive Monte Carlo tasks to clustered computational farms, such as large-scale computational grids, with heterogeneous and dynamic performance.  The kernel of this scheduling mechanism is a swarm intelligent algorithm, which is inspired from the ants’ behavior in a social insect colony.
  7. C. Fleming, M. Mascagni and N. A. Simonov (2005), "An Efficient Monte Carlo Approach for Solving Linear Problems in Biomolecular Electrostatics," Proceedings of the Fifth International Conference on Computational Science (ICCS 2005), V. S. Sunderam, G. D. van Albada, P. M. A. Sloot, and  J. J. Dongarra (eds.), Lecture Notes in Computer Science, 3516: 760-765 (Part 3). (May 2005, Atlanta, GA)  This paper presents preliminary results for a new method for evaluating internal boundary conditions that arise in molecular electrostatics computations.  The methods were developed to work in concert with existing Monte Carlo methods for solving the entire PDE system, and are a significant improvement on a finite-difference based method previously developed.  Not only is performance enhanced by an order of magnitude, but a bias from the finite-difference based method is eliminated.
  8. H. Chi, P. Beerli, D. W. Evans and M. Mascagni (2005), "On the Scrambled Soboĺ Sequence," Proceedings of the Fifth International Conference on Computational Science (ICCS 2005), V. S. Sunderam, G. D. van Albada, P. M. A. Sloot, and  J. J. Dongarra (eds.), Lecture Notes in Computer Science, 3516: 775-782 (Part 3). (May 2005, Atlanta, GA  This paper presents an optimal linear scrambling of the Soboĺ sequence with techniques similar to those previously developed by Chi and Mascagni for the Faure and Halton sequences.  This sequences is shown to be of good quality in comparison to others based on the evaluation of a high-dimensional geometrical Asian option.
  9. N. A. Simonov and M. Mascagni (2004), "Random Walk Algorithms for Estimating Electrostatic Properties of Large Molecules," Proceedings of The International Conference on Computational Mathematics (ICCM-2004), Novosibirsk, Russia, G. A. Mikhailov, V. P. Il'in, and Y. M. Laevsky, eds., ICM&G Publisher, Novosibirsk, Russia, Part I: 352-358.  This paper describes a new Monte Carlo algorithm for solving the coupled Poisson/Poisson-Boltzmann system related to the electrostatics of large molecules in a continuum model of solvent.
  10. M. Mascagni, A. Karaivanova, C.-O. Hwang (2004), "Quasi-Monte Carlo Methods for Elliptic  Boundary Value Problems," Proceedings of Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing (MCQMC) 2002, H. Niederreiter (ed.), Springer Verlag: Berlin, pp. 345-356.  This paper gives a brief overview of quasi-Monte Carlo methods for solving elliptic boundary value problems using walk-on-spheres variants.
  11. Y. Li and M. Mascagni (2004), "E-Science Workflow on the Grid," Proceedings of the International Association for the Development of the Information Society (IADIS) International Conference: e-Society 2004, P. Isaías, P. Komers, M. McPherson (eds.),  pp. 1041-1046.  This paper describes how one can use workflow techniques to implement e-science-based grid computations.  Specifically, it describes how one maps agent operations from workflow onto grid services using XML as the communications intermediary.
  12. Y. Li and M. Mascagni (2004), "E-Science on the Grid: Toward a Dynamic E-Science Automation with XML and Workflow Techniques," accepted to the Proceedings of the 8th World Multiconference on Systemics, Cybernetics and Informatics (SCI 2004), Orlando, Florida, 7 pages.  This paper describes how one can use workflow techniques to implement e-science-based grid computations.  Specifically, it describes how one maps agent operations from workflow onto grid services using XML as the communications intermediary.
  13. M. Mascagni and H. Chi (2004), "Optimal Quasi-Monte Carlo Valuation of Derivative Securities," Computational Finance and Its Applications, M. Costantino and C. A. Brebbia (eds.), WIT Press, pp. 177-185.  This paper finds an optimal scrambling of the Faure sequence within the i-binomial family.  Then, this derandomized generalized Faure (GFaure) sequence is used to evaluate a high-dimensional derivative security, an European call option on the geometric mean of several assets.  The numerical results show improvement over the plain Faure sequence.
  14. M. Mascagni and Y. Li (2004), "Computational Infrastructure for Parallel, Distributed, and Grid-based Monte Carlo Computations," Proceedings of the Fourth International Conference on Large-Scale Scientific Computations (LSSC'03), Sozopol, Bulgaria, I. Lirkov, S. Margenov, J. Wasniewski, P. Yalamov eds., Lecture Notes in Computer Sciences, 2907: 39-52.  This paper provides an overview of computational infrastructure for parallel, distributed, and Grid-based Monte Carlo computations.  The starting point is the Scalable Parallel Random Number Generators (SPRNG) Library, and its uses for parallel and distributed Monte Carlo, and the discussion ends with a description of our Grid-Computing Infrastructure for Monte Carlo Applications (GCIMCA).
  15. A. Karaivanova, M. Mascagni and N. Simonov (2004), "Solving Boundary Value Problems Using Quasirandom Walks on the Boundary," Proceedings of the Fourth International Conference on Large-Scale Scientific Computations (LSSC'03), Sozopol, Bulgaria, I. Lirkov, S. Margenov, J. Wasniewski, P. Yalamov eds., Lecture Notes in Computer Sciences, 2907: 162-169.  This paper studies the us of quasirandom numbers in the solution problems using the "random walk on the boundary" Monte Carlo algorithm.  The analysis and numerical results show that a small but significant improvement in convergence rate is seen over traditional Monte Carlo on this algorithm.
  16. A. Karaivanova and M. Mascagni (2003), "Quasi-Monte Carlo Methods for Some Problems in Linear Algebra," Proceedings of the 7th Joint Conference on Information Sciences (JCIS 2003), pp. 1754-1757.  This paper presents Monte Carlo and quasi-Monte Carlo methods for the solution of various problems in numerical linear algebra.  The paper begins with an analysis of matrix-vector products, then solutions via Neumann series, and finally the eigenvalue problems including stochastic versions of the power method and the resolvent method.
  17. M. Mascagni and A. Karaivanova (2002), "A Monte Carlo Approach for Finding More Than One Eigenpair," Proceedings of Fifth International Conference on Numerical Methods and Applications, I. Dimov, L. Lirkov, S. Margenov, and Z. Zlatev (eds.),  Lecture Notes in Computer Science, 2542: 123-131.  This paper extends previous results on Monte Carlo methods for spectral linear algebra calculations.
  18. Y. Li, M. Mascagni and R. van Engelen (2003), "GCIMCA: A Globus and SPRNG Implementation of a Grid-Computing Infrastructure for Monte Carlo Applications," accepted to the The 2003 International Conference on Parallel and Distributed Processing Techniques and Applications, (PDPTA'03), Las Vegas, Nevada,  5 pages.  Taking advantage of the grid facilities of the Globus toolkit and the large-scale random number streams generated by the SPRNG library, this paper discusses the implementation of GCIMCA, the Grid-Computing Infrastructure for Monte Carlo Applications, to provide services for high-performance and trustworthy grid-based Monte Carlo computations.
  19. M. Mascagni and N. A. Simonov (2003), "Monte Carlo Methods for Calculating the Electrostatic Energy of a Molecule," Proceedings of the 2003 International Conference on Computational Science (ICCS 2003), P. M. A. Sloot, D. Abramson, A. V. Bogdanov, J. J. Dongarra, A. Y. Zomaya, and Y. E. Gorbachev (eds.), Lecture Notes in Computer Science, 2330: 598-608 (Part 2). (June 2003, Melbourne, Australia and Saint Petersburg, Russia)  This paper presents a new Monte Carlo algorithm for computing an electrostatic form of the internal energy of a large protein molecule.  The algorithm is also analyzed.
  20. Y. Li and M. Mascagni (2003), "Improving Performance via Computational Replication on a Large-Scale Computational Grid," Proceedings of the IEEE/ACM International Symposium on Cluster Computing and the Grid (IEEE/ACM CCGRID2003), pp. 442-448.  This paper describes and analyze the computational replication method to improve performance of a generic application on a computational grid.  The computational replication method is extended to an N-out-of-M schedule technique to improve the wall clock time of Grid-based Monte Carlo computations.
  21. Y. Li, M. Mascagni and M. H. Peters (2003), "Grid-based Nonequilibrium Multiple-Time Scale Molecular Dynamics/Brownian Dynamics Simulations of Ligand-Receptor Interactions in Structured Protein Systems," Proceedings of the First International Workshop on Biomedical Computations on the Grid (BioGrid'03) in Proceedings of the IEEE/ACM International Symposium on Cluster Computing and the Grid (IEEE/ACM CCGRID2003), pp. 568-573.  This paper describes the application of our Grid-based Monte Carlo technology to problems in protein biophysics.
  22. M. Mascagni and N. A. Simonov (2002), "Random Walk Algorithms on The Boundary Methods for Computing Reaction Rate and Capacitance," Proceedings of the The International Conference on Computational Mathematics, G. A. Mikhailov, V. P. Il'in, Y. M. Laevsky (eds.), ICM & MG Publishers, Novosibirsk, Russia, pp. 238-242.  This paper presents "walk on the boundary" methods for solving some boundary-value problems formulated as integral equations.  Specifically, it deals with computing the capacitance of a convex object and diffusion-limited reaction rates.
  23. Y. Li and M. Mascagni (2002), "Grid-based Monte Carlo Application," Proceedings of Grid Computing-GRID 2002, Manish Parashar (ed.), Lecture Notes in Computer Science, 2536: 13-24.  This paper examines the suitability of Monte Carlo applications for the grid.  In addition, the M-out-of-N strategy is examined to speed Grid Monte Carlo computations in a faulty environment and in using the random number generator to provide the ability to validate a volunteered Monte Carlo computation.
  24. M. Mascagni and A. Karaivanova (2002), "A Parallel Quasi-Monte Carlo Method for Solving Systems of Linear Equations,"  Proceedings of the 2002 International Conference on Computational Science, Peter M. A. Sloot, C. J. Kenneth Tan, Jack J. Dongarra, Alfons G. Hoekstra (eds.), Lecture Notes in Computer Science, 2330: 598-608 (Part 2).  (April 2002, Amsterdam, Netherlands)  This paper presents and analyzes a quasi-Monte Carlo approach to solving systems of linear systems.  In addition, the parallel efficiency of this method is shown to be extremely good and consistent with the ordinary Monte Carlo approach to this problem.
  25. A. Srinivasan and M. Mascagni (2002), "Monte Carlo Techniques for Estimating the Fiedler Vector in Graph Applications," Proceedings of the 2002 International Conference on Computational Science (ICCS 2002), Peter M.A. Sloot, C. J. Kenneth Tan, Jack J. Dongarra, Alfons G. Hoekstra (eds.), Lecture Notes in Computer Science, 2330: 635-645 (Part 2).   (April 2002, Amsterdam, Netherlands)  This paper shows how to use Monte Carlo techniques, based on Markov chains and the probabilistic computations of matrix-vector products, to estimate the Fiedler vector.  This problem has significance in graph partitioning problems related to domain decomposition.
  26. M. Mascagni and A. Karaivanova (2001), "A Parallel Quasi-Monte Carlo Method for Computing Extremal Eigenvalues," Proceedings of Monte Carlo and Quasi-Monte Carlo Methods 2000, K.-T. Fang, H. F. J. Hickernell, and H. Niederreiter, eds., Springer-Verlag: Berlin: pp. 369-380.  (December 2000, Honk Kong, China)  This paper provides an error bound for the use of quasi-Monte Carlo methods for computing extremal eigenvalues of sparse matrices via methods related to the power method.  In addition, it is shown that the parallel efficiency expected of Monte Carlo methods extends to these Markov chain-based quasi-Monte Carlo methods.
  27. J. A. Given, C.-O. Hwang and M. Mascagni (2001), "Continuous Path Brownian Trajectories for Diffusion Monte Carlo Via First- and Last-Passage Distributions," Proceedings of the Third International Conference on Large-Scale Scientific Computations, 12 pages, in press. (June 2001, Sozopol, Bulgaria)  This paper presents an overview of the application of the Green's function first-passage and simulation tabulation methods to problems arising in porous media, composite materials, and biochemistry.
  28. C.-O. Hwang, J. A. Given, and M. Mascagni (2001), "A Feynman-Kac Path-Integral Implementation for Poisson's Equation," in the Proceedings of the 2001 International Conference on Computational Science, part I, pp. 1282-1288. (May 2001, San Francisco, CA)  This paper presents a new method to evaluate path integrals arising from the Feynman-Kac solution of the Poisson equation when only first-passage information is known about the path trajectories.  This has applications for the use of the Green's function first-passage method for Poisson's equation.
  29. M. Mascagni (2000), "Theory and Software for Parallel Random Number Generation," Proceedings of The Fourth International Conference on Supercomputing in Nuclear Applications (SNA 2000), CD-ROM: 14 pages. (September 2000, Tokyo, Japan). This paper presents an overview of parallel random number generation aimed at the Nuclear Engineering community.  Mathematical background and the use of SPRNG is presented.
  30. M. Zhou and M. Mascagni (2000), "The Cycle Server: A Web Platform for Running Parallel Monte Carlo Applications on a Heterogeneous Condor Pool of Workstations," Proceedings of the 2000 International Conference on Parallel Processing Workshops on Scalable Web Services, pp. 111-118. (August 2000, Toronto, Canada)  This paper presents a distributed computing tool that permits users to submit and retrieve parallel Monte Carlo jobs to a Condor cluster.  Most importantly, this tool provides a distributed compilation service that, given application source, produces executables for many different operating system/architecture combinations.
  31. M. Mascagni and S. Rahimi (2000), "Parallel Inversive Congruential Generators:  Software and Field-Programmable Gate Array Implementations," in Proceedings of the International Conference on Monte Carlo Simulation, G. I. Schuëller and P. D. Spanos, eds., pp. 35-40. (June 2000, Monte Carlo, Monaco)  This paper presents a hardware design for modular integer inversion and implements and benchmarks the design on a field-programmable gate array device.  This problem is motivated by the desire to accelerate the generation of inversive congruential pseudorandom numbers.
  32. A. Karaivanova and M. Mascagni (2000), "Are Quasirandom Numbers Good for Anything Besides Integration?"  Proceedings of Advances in Reactor Physics and Mathematics and Computation into the Next Millennium (PHYSOR2000),  CD-ROM: 15 pages. (May 2000, Pittsburgh, PA)  This paper presents quasi-Monte Carlo methods for Markov-chain based problems arising from numerical linear algebra.  It contrasts these applications of quasirandom numbers to the more classical application of numerical integration.
  33. M. Mascagni (1999), "SPRNG: A Scalable Library for Pseudorandom Number Generation,"  in Proceedings of the Ninth SIAM Conference on Parallel Processing for Scientific Computing, CD-ROM: 10 pages.  (March 1999, San Antonio, TX)  This paper presents an overview of parallel pseudorandom number generation via parameterization and discuss particulars of the SPRNG library.
  34. M. Hydari, D. M. Ceperley, A. Srinivasan, and M. Mascagni (1999), "A Fast High-Quality Pseudo Random Number Library for Java," in Proceedings of the Ninth SIAM Conference on Parallel Processing for Scientific Computing, CD-ROM: 17 pages. (March 1999, San Antonio, TX)  This paper presents a Java extension to the SPRNG library.
  35. M. Mascagni (1999), "SPRNG: A Scalable Library for Pseudorandom Number Generation," Recent Advances in Numerical Methods and Applications II,  O. Iliev, B. Sendov, M. Kaschiev, S. Margenov, P. Vassilevski, editors, World Scientific, pp. 284-295. (August 1998, Sofia, Bulgaria)  This paper presents an overview of parallel pseudorandom number generation via parameterization and discuss particulars of the SPRNG library.
  36. J.-L. Larriba-Pey, M. Mascagni, A. Jorba and J. J. Navarro (1995), "An Analysis of the Parallel Computation of Arbitrarily Branched Cable Neuron Models'', in Proceedings of the Seventh SIAM Conference on Parallel Processing for Scientific Computing, pp. 373-378. (March 1995, San Francisco, CA)  This paper provides an analysis of parallel finite-difference methods for solving nerve equations based on new results for parallel tridiagonal linear system solvers.
  37. S. A. Cuccaro, M. Mascagni and D. V. Pryor (1995) "Techniques for Testing the Quality of Parallel Pseudorandom Number Generators'', Proceedings of the Seventh SIAM Conference on Parallel Processing for Scientific Computing, pp. 279-284. (March 1995, San Francisco, CA)  This paper presents a mathematical framework for the testing of parallel random number generators based on the parallel modification of serials tests and on the use of exponential sum tests.
  38. D. V. Pryor, S. A. Cuccaro, M. Mascagni and M. L. Robinson (1994) "Implementation and Usage of a Portable and Reproducible Parallel Pseudorandom Number Generator'', Proceedings of Supercomputing '94, pp. 311-319. (November 1994, Washington, D.C.)  This paper discusses the parallel computational aspects that permit the dynamic spawning of distinct parallel random number generators without the need for interprocessor communication.  The method utilizes parameterized generators mapped to the binary tree and the manipulations that are simplified with this mapping.
  39. M. Mascagni, S. A. Cuccaro, D. V. Pryor and M. L. Robinson (1993) "Recent Developments in Parallel Pseudorandom Number Generation'', Proceedings of the Sixth SIAM Conference on Parallel Processing for Scientific Computing, pp. 524-529. (March 1993, Norfolk, VA)  This paper presents results on the parameterization of additive lagged-Fibonacci generators for use in parallel.

International Conference Proceedings Edited:

  1. D. H. Bailey, P. E. Bjørstad, J. R. Gilbert, M. V. Mascagni, R. S. Schreiber, H. D. Simon, V. J. Torczon and L. T. Watson, editors (1995) Proceedings of the Seventh SIAM Conference on Parallel Processing for Scientific Computing, SIAM, Philadelphia.

National Conference Papers:

  1. M. Zhou and M. Mascagni (1999), "Parallel Monte Carlo in a Distributed Environment: SPRNG and CONDOR," in Proceedings of the First Southern Symposium on Computing, CD-ROM: 5 pages. (December, 1998, Hattiesburg, MS)  This paper briefly reviews a distributed computing tool that permits users to submit and retrieve parallel Monte Carlo jobs to a Condor cluster.  Most importantly, this tool provides a distributed compilation service that, given application source, produces executables for many different operating system/architecture combinations.
  2. C.-O. Hwang, J. A. Given and M. Mascagni (1999), "A New Fluid Permeability Estimation,"  in Proceedings of the First Southern Symposium on Computing, CD-ROM: 7 pages. (December, 1998, Hattiesburg, MS)  This paper briefly presents Green's function first-passage Monte Carlo method to compute the permeability of porous media models and provides preliminary numerical results.  

Preprints:

  1. M. Fenley, M. Mascagni, J. McClain, A. Silalahi and N. Simonov (2009), "Using Correlated Monte Carlo Sampling for Efficiently Solving the Linearized Poisson-Boltzmann Equation Over a Broad Range of Salt Concentrations," submitted for publication in Journal of Chemical Theory and Computation, 35 pages.  This paper uses the Monte Carlo technique of the authors to simultaneously solve a boundary-value problem system in biochemical electrostatics over a wide range of external solvent ionic concentrations.  This is accomploshed by using a single (longest) random walk, and processing it to be appropriate to sample different solvent concentrations.  The correlation allows us to compute differences of computed quantities with high accuracy despite the use of Monte Carlo.
  2. J. Tabak, M. Mascagni and R. Bertram (2009), "Mechanism for the Universal Pattern of Activity in Developing Neuronal Networks," submitted for publication in Journal of Neurophysiology, 40 pages.  This paper looks at general mechanism for activity in purely excitable networks.  The duration of an episode of activity correlates with the length of the silent interval that precedes it, but not with the interval that follows. We use a modeling approach to explain this characteristic but so far unexplained feature of developing networks. We thus developed simple models incorporating excitatory coupling between
    heterogeneous neurons and activity-dependent synaptic depression. These models robustly generated episodic activity with the correct correlation pattern. The correlation pattern resulted from episodes being triggered at random levels of recovery from depression while they terminated around the same level of depression. To explain this fundamental difference between episode onset and termination, we then used a mean field model, where only average activity and average level of recovery from synaptic depression are considered. In this model, episode onset is highly sensitive to inputs. Thus, noise resulting from random coincidences in the spike times of individual neurons led to the high variability at episode onset and to the observed correlation pattern.
  3. Y. Li, W. Mirugi and M. Mascagni (2005), "Test the Rule 30 Cellular Automata Random Number Generator," submitted for publication in Mathematics and Computers in Simulation, 8 pages.  This paper looks at the "Rule 30" cellular automata as a random number generator.  This cellular automata was first proposed as a random number generator by Wolfram, and is still used in Mathematica.  Empirical tests showed the generator similar in quality to other common generators, but overall it is unsuitable as the generation time is 1000 times slower.
  4. A. Rasulov, G. Raimova and M. Mascagni (2005), "Quasirandom Sequences in Branching Random Walks," submitted for publication in Mathematics and Computers in Simulation, 9 pages.  This paper presents strong numerical evidence that using quasirandom number in the generation of uniform directions, as part of a Markov chain-based algorithm for solving partial differential equations is very effective.
  5. N. Simonov and M. Mascagni (2005), "Random Walk Algorithms for Solving Some Boundary-Value Problems in Biomolecular Electrostatics," submitted for publication in Mathematics and Computers in Simulation, 14 pages.  This paper presents new results based on using a tangent plane approximation to remove a negative term that arose in an integral equation-based method for enforcing certain boundary conditions.  These boundary conditions are part of an electrostatics system involving molecular geometry and the Poisson and Poisson-Boltzmann equations.
  6. H. Chi, R. Jones, and M. Mascagni (2005), "Generating Parameterized Parallel Random Number Streams via LCGs with Differing Moduli," submitted for publication in Mathematics and Computers in Simulation, 12 pages.  This paper presents a new parameterization of linear congruential generators (LGCs) of the kind already used in the SPRNG library.  Using spectral test methods based on combined LCGs, we create a new criterion to assess the parallel quality of LCGs which have different moduli.  The approach is explained, justified theoretically, and a small numerical example is carried out.
  7. Y. Li and M. Mascagni (2005), "Optimizing Dynamic Grid-based Resources for Large-Scale Monte Carlo Applications," submitted for publication in Mathematics and Computers in Simulation, 14 pages.  In this paper we present a novel, bio-inspired method for optimizing the organization of dynamic computational resources on a Grid for carrying out large-scale Monte Carlo applications. The kernel of the scheduling mechanism is a swarm intelligence algorithm.  We tested the algorithm on a simulated computational Grid and compared it with static scheduling algorithms. Our results showed good performance, adaptability, and robustness on a dynamic computational Grid with respect to its competitors. 
  8. B. Bouta, A. Srinivasan and M. Mascagni (2005), "Exploring Monte Carlo Linear Solver Splittings: A Load-Balancing Example," submitted for publication in Mathematics and Computers in Simulation, 18 pages.  This paper presents new Monte Carlo methods for solving linear systems are studied within the context of the load-balancing problem.  In our take on his problem, the graph Laplacian matrix provides the linear system.  We then study this system with three stat, ionary iterative methods that are used as the basis for providing Monte Carlo methods.  This work represents new results based on using more advantageous splittings to improve the performance of Monte Carlo methods in Linear Algebra.
  9. H. Chi and M. Mascagni (2003), "Scrambled Quasirandom Sequences and Their Application," submitted for publication in SIAM Review, 41 pages.  This paper is a review of the state-of-the-art in methods of scrambling quasirandom numbers.  In addition, applications of quasirandom sequences are discussed including automatic error estimation for quasi-Monte Carlo and parallel quasirandom number generation.  Also, the topics of randomized quasirandom numbers and the derandomization of quasirandom numbers is reviewed.
  10. E. I. Atanassov and M. Mascagni (2003), "Efficient Generation of Low-discrepancy Sequences," submitted to Journal of Complexity, 18 pages.  This paper presents algorithms and source code examples for the efficient generation of scrambled Halton and Sobol' quasirandom numbers on modern microprocessor architectures.
  11. C.-O. Hwang, M. Mascagni and J. A. Given (2001), "A Feynman-Kac Formula Implementation for the Linearized Poisson-Boltzmann Equation," submitted for publication in Mathematics and Computers in Simulation, 10 pages.  This paper presents a new random walk method for solving the linear Poisson-Boltzmann equation and proves mathematically (not implementationally) the same as a previously published method of the authors.

Reports:

  1. M. H. Zhou, M. Mascagni, and A. Y. Qiao (1998), "Explicit Finite Difference Schemes for the Advection Equation," Conservation Law Preprint 1998-024.  This report presents a new explicit finite-difference method for solving the advection equation.
  2. M. Mascagni (1997), "Polynomial versus Matrix Methods for Leap-Ahead in Shift Register Type Pseudorandom Number Generators," Institute for Mathematics and its Applications (IMA) Reprint 1469.  This paper shows that fast leap-ahead methods applicable to shift-register pseudorandom number generators can be extended to additive lagged-Fibonacci generators.
  3. M. Mascagni (1995), "A Deterministic Particle Method for One-Dimensional Reaction-Diffusion Equations'', Research Institute for Advanced Computer Science (RIACS) Technical Report: 95.23, Institute for Defense Analyses Center for Computing Sciences (IDA/CCS) Technical Report: CCS-TR-95-144.  This paper derives a one-dimensional particle method for the solution of nonlinear reaction-diffusion equations.  This method is a level-set analog of Monte Carlo methods previously studied by the author.  Numerical evidence is presented on the efficacy of the method, and error analysis and proof is provided.
  4. M. Mascagni and S. A. Cuccaro (1992), "A Comparison of Modular Multiplication Across Parallel Supercomputing Architectures," Institute for Defense Analyses Supercomputing Research Center Technical Report: SRC-TR-92-116.  This paper compares the speed of integer modular multiplication modulo a Mersenne prime across supercomputing and special purpose computing systems.  This paper was classified after initial publication, and is no longer publicly available.

Abstracts:

  1. J. Tabak, M. Mascagni and R. Bertram (2007), "Spontaneous Episodic Activity: Why Episode Duration is Correlated with the Length of the Preceding but not Following Interval," Society for Neuroscience Abstracts, 33: 925.7.  This abstract presents results on using a simple stochastic model to replace a homogeneous integrate-and-fire network of excitatory neurons.  The results are based on correlation between of episode duration with the previous but not the following inter-episode interval.  The leads to a diagnostic for synaptic depression versus cellular adaptation.
  2. M. Mascagni (1987), "Computer Simulation of Negative Feedback in Neurons," Society for Neuroscience Abstracts, 13: 375.4.  This abstract presents results on the use of a Hodgkin-Huxley axon/dendrite model to study the effect of negative feedback on repetitive firing behavior of neurons.  It is empirically shown that negative feedback increases the input sensitivity of the repetitive firing response.

Software:

  1. M. Mascagni, A. Srinivasan, D. M. Ceperley, and F. Saied (1995), "Scalable Parallel Random Number Generators (SPRNG) Library."  This package has become the standard for parallel and distributed random number generation and was originally developed under DARPA Contract Number DABT63-95-C-0123 for ITO: Scalable Systems and Software, entitled A Scalable Pseudorandom Number Generation Library for Parallel Monte Carlo Computations at the University of Illinois at Champaign Urbana's National Center for Supercomputing Applications, the Institute for Defense Analyses' Center for Computing Sciences, and the University of Southern Mississippi's Doctoral Program in Scientific Computing.  This software continues to be supported by FSU and the U.S. Department of Energy, and is now distributed at the website: http://www.sprng.org.

Invited Colloquia, Lectures, Proseminars and Seminars:

  1. Florida State University, Department of Mathematics, Tallahassee, FL: Mathematical Biology Seminar, 2009
  2. University of Miami, Department of Computer Science, Miami, FL: Center for Computational Science Colloquium, 2009
  3. Florida State University, Department of Computer Science, Tallahassee, FL: Introduction to Research Seminar, 2008
  4. Florida State University, Department of Computer Science, Tallahassee, FL: Faculty Seminar, 2008
  5. University of Miami, Department of Computer Science, Miami, FL: Department of Computer Science Colloquium, 2008
  6. The Institute of Informatics, National Research Grid Initiative (NAEGRI), Center for Grid Research and Development, Tokyo, Japan: Institute Seminar, 2008
  7. Weierstraß Institut für Angewandte Analysis und Stochastik (WIAS), Weierstrass Institute for Applied Analysis and Stochastics, Berlin, Germany: Stochastic Algorithms Seminar, 2007
  8. Université de Toulon et du Var, Institut des Sciences de l'Ingénieur de Toulon et du Var, Modélisation Numérique et Couplages, Toulon, France: Mathematics Colloquium, 2007
  9. Université de Toulon et du Var, Institut des Sciences de l'Ingénieur de Toulon et du Var, Modélisation Numérique et Couplages, Toulon, France: Student Seminar, 2007
  10. Florida State University, Department of Mathematics, Tallahassee, FL: Mathematical Biology Seminar, 2007
  11. Florida State University, Department of Computer Science, Tallahassee, FL: Introduction to Research Seminar, 2007
  12. Florida State University, Department of Computer Science, Tallahassee, FL: Faculty Seminar, 2007
  13. Columbia University, The Fu Foundation School of Engineering and Applied Science, Department of Applied Physics and Mathematics, New York, NY: Applied Mathematics Seminar, 2007
  14. The University at Stony Brook, Department of Applied Mathematics and Statistics (AMS), Stony Brook, NY: AMS Seminar, 2007
  15. University of Florida, Department of Mathematics, Gainesville, FL: Applied Mathematics Colloquium, 2007
  16. North Carolina State University, Department of Mathematics, Raleigh, NC: Applied Mathematics Seminar, 2007
  17. North Carolina State University, Department of Computer Science, Raleigh, NC: Computer Science Seminar, 2007
  18. University of Florida, Department of Computer Information Sciences and Engineering (CISE), Gainesville, FL: Computer Science Colloquium, 2007
  19. Florida State University, School of Computational Science, Tallahassee, FL: Graduate Student Seminar, 2007
  20. Florida State University, Department of Computer Science, Tallahassee, FL: Introduction to Research Seminar, 2006
  21. Tulane University, Department of Mathematics, New Orleans, LA: Applied Mathematics Seminar, 2006
  22. Louisiana State University, Department of Mathematics, Baton Rouge, LA: Applied Analysis Seminar, 2006
  23. Louisiana State University, Center for Computation and Technology, Baton Rouge, LA: CCT Colloquium, 2006
  24. Florida Agricultural and Mechanical University, Department of Computer and Information Sciences, Tallahassee, FL: Departmental Colloquium, 2006
  25. Florida State University, Department of Computer Science, Tallahassee, FL: Faculty Research Presentation Series, 2006
  26. Naval Research Laboratory, Center for Computational Science, Washington, DC: Seminar, 2006
  27. Naval Research Laboratory, Electronic Support Measures, Washington, DC: Particles Research Group Seminar, 2006
  28. National Institute of Standards and Technology, Mathematics and Computational Science Division, Gaithersburg, MD: Seminar, 2006
  29. National Institutes of Health, Laboratory of Biological Modeling, National Institute for Diabetes, Digestive, and Kidney Diseases, Bethesda, MD: Seminar, 2006
  30. Technishe Universität Wien, Institut für Mikroelekronik, Vienna, Austria: Electrical Engineering Guest Lecture, 2006
  31. Katholieke Universiteit Leuven (Catholic University of Leuven), Department of Computer Science, Faculty of Engineering, Leuven, Belgium: Numerical Analysis Seminar, 2006
  32. Université Libre de Bruxelles (Free University of Brussels) , Service de Métrologie Nucléaire, Brussels, Belgium: Nuclear Engineering Colloquium, 2006
  33. Florida State University-Florida A&M University, Department of Chemical and Biomedical Engineering, Tallahassee, FL: Graduate Seminar, 2006
  34. Ecole Polytechnique Fédérale de Lausanne (EPFL), Swiss Federal Institute of Technology, School of Life Sciences, Brain Mind Institute, Laboratory of Neural Microcircuitry, Lausanne, Switzerland: Laboratory Seminar, 2006
  35. Office of Naval Research, Global, London, United Kingdom: Office of Naval Research, Army Research Office, Air Force Office Scientific Research Seminar, 2006
  36. Herriot-Watt University, Department of Mathematics, Edinburgh, Scotland, United Kingdom: Industrial and Applied Mathematics Seminar, 2006
  37. Strathclyde University, Department of Mathematics, Glasgow, Scotland, United Kingdom: Numerical Analysis Colloquium, 2006
  38. Universität Ulm, Ulmer Zentrum für Wissenschafliches Rechnen (Ulm Center for Scientific Computing), Ulm, Germany: Forschungsseminar Wissenschaftliches Rechnen (Scientific Computing Research Seminar), 2006
  39. International Business Machines, Computational Chemistry and Materials Science Department, Zürich Research Laboratory, Rüschlikon, Switzerland: Deep Computing Institute Seminar, 2006
  40. Eidgenössische Technische Hochschule (ETH), Swiss Federal Institute of Technology, Computational/Collaborational Laboratory in Computational Science and Engineering (CoLab), Zürich, Switzerland: CoLab Seminar, 2006
  41. Eidgenössische Technische Hochschule (ETH), Swiss Federal Institute of Technology, Departement Mathematik, Seminar für Angewandte Mathematik (SAM), Zürich, Switzerland: SAM Colloquium, 2006
  42. Ecole Polytechnique Fédérale de Lausanne (EPFL), Swiss Federal Institute of Technology, Chaire d'Analyse et Simulation Numériques, Institut d'Analyse et Calcul Scientifique, Lausanne, Switzerland: Colloque d'Analyse Numériques, 2006
  43. Conseil Européen pour la Recherche Nucléaire (CERN), Physics Department, Software Division and Information Technology Division, Geneva, Switzerland: CERN Computing Seminar, 2006
  44. Institut Supérieur d'Informatique, de Modélisation et de leurs Applications (ISIMA), Advanced Institute for Computer Science, Modeling and Applications, Université Blaise Pascal, Clermont-Ferrand, France: Modeling and Simulation Seminar, 2006
  45. The Georgia Institute of Technology, College of Computing, Division of Computational Science and Engineering, Atlanta, GA: Computational Science and Engineering Colloquium, 2006
  46. Eidgenössische Technische Hochschule (ETH), Swiss Federal Institute of Technology, Department Informatik, Computer Science Department, Zürich, Switzerland: Theoretical Computer Science Seminar, 2006
  47. Geowatt AG, Swiss Expert Geothermal Group, Zürich, Switzerland: Company Seminar, 2006
  48. Eidgenössische Technische Hochschule (ETH), Swiss Federal Institute of Technology, Rechnergestützte Wissenschaften, Computational Science and Engineering, Zürich, Switzerland: Case Studies Seminar in Computational Science and Engineering (Fallstudien), 2005
  49. Humboldt Universität, Department of Mathematics, Berlin, Germany: Numerical Analysis Seminar, 2005
  50. Weierstraß Institut für Angewandte Analysis und Stochastik (WIAS), Weierstrass Institute for Applied Analysis and Stochastics, Berlin, Germany: Stochastic Algorithms Seminar, 2005
  51. National Institute of Standards and Technology, Mathematics and Computational Science Division, Gaithersburg, MD: Seminar, 2005
  52. National Institutes of Health, Laboratory of Biological Modeling, National Institute for Diabetes, Digestive, and Kidney Diseases, Bethesda, MD: Seminar, 2005
  53. Computational Science Center, Brookhaven National Laboratory, Brookhaven, NY: Computational Science Center Seminar, 2005
  54. The University at Stony Brook, Department of Applied Mathematics and Statistics (AMS), Stony Brook, NY: AMS Seminar, 2005
  55. University of Cyprus, Department of Computer Science, Nicosia, Cyprus: Computer Science Colloquium, 2005
  56. University of Cyprus, Department of Mathematics, Nicosia, Cyprus: Mathematics Colloquium, 2005
  57. University of Pittsburgh, Department of Mathematics, Pittsburgh, PA: Biological Mathematics Colloquium, 2004
  58. University of Miami, Department of Computer Science, Miami, FL: Applied Mathematics Colloquium, 2004
  59. Institut Supérieur d'Informatique, de Modélisation et de leurs Applications (ISIMA), Advanced Institute for Computer Science, Modeling and Applications, Clermont-Ferrand, France: Computer Science Seminar, 2004
  60. Université de Savoie, LAMA, Le Bourget-du-Lac, France: Applied Mathematics Colloquium, 2004
  61. Florida State University, Department of Computer Science, Tallahassee, FL: Introduction to Research Seminar, 2004
  62. Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia: Institute of Computational Mathematics and Mathematical Geophysics (Computing Center), Department of Statistical Modeling in Physics, Seminar on Monte Carlo Methods, 2004
  63. Florida State University-Florida A&M University, Department of Mechanical Engineering, Tallahassee, FL: Graduate Seminar, 2004
  64. Florida State University, Department of Mathematics, Tallahassee, FL: Mathematics Colloquium, 2004
  65. Arizona State University, Department of Mathematics, Tempe, AZ: Computational and Applied Mathematics Proseminar, 2003
  66. University of Arizona, Department of Mathematics, Tucson, AZ: Analysis and Its Applications Seminar, 2003
  67. National Institutes of Health, Laboratory of Biological Modeling, National Institute for Diabetes, Digestive, and Kidney Diseases, Bethesda, MD: Seminar, 2003
  68. National Institute of Standards and Technology, Mathematics and Computational Science Division, Gaithersburg, MD: Seminar, 2003
  69. Florida State University, Department of Computer Science, Tallahassee, FL: Introduction to Research Seminar, 2003
  70. Florida State University-Florida A&M University, Department of Chemical Engineering, Tallahassee, FL: Graduate Seminar, 2003
  71. Eidgenössische Technische Hochschule (ETH), Swiss Federal Institute of Technology, Computational/Collaborational Laboratory in Computational Science and Engineering (CoLab), Zürich, Switzerland: CoLab Colloquium, 2003
  72. Seoul National University, Program in Computational Science and Technology, Seoul, Korea: Computer Science and Technology Colloquium, 2003
  73. Kunsan National University, Department of Mechanical Engineering, Kunsan, South Korea: Mechanical Engineering Colloquium, 2003
  74. Inha University, Department of Physics, Incheon, South Korea: Physics Colloquium, 2003
  75. Seoul National University, Department of Computer Science and Engineering, Seoul, Korea: Computer Science Colloquium, 2003
  76. Keio University, Faculty of Science and Technology, Department of Mathematics, Yokohama, Japan: Mathematics Colloquium, 2003
  77. Washington University in St. Louis, Center for Computational Biology, School of Medicine: Special Seminar, 2003
  78. University of California, San Diego, Computer Science and Engineering Department, San Diego, CA: Computer Science Seminar, 2003
  79. University of California, Los Angeles, Computer Science Department, Los Angeles, CA: Computer Science Seminar, 2003
  80. Oak Ridge National Laboratory, Computer Science and Mathematics Division, Oak Ridge, TN: Computer Science and Mathematics Seminar, 2003
  81. Universität Kaiserslautern, Fachbereich Informatik, Kaiserslautern, Germany: Computer Science Colloquium, 2002
  82. Johann Wolfgang Goethe Universität Frankfurt am Main, Department of Mathematics, Frankfurt am Main, Germany: Departmental Colloquium, 2002
  83. Universität Heidelberg, Intgerdisziplinäres Institut für wissenschaftliches Rechen (ITWR), Heidelberg, Germany: Scientific Computing Colloquium, 2002
  84. Florida State University, Department of Computer Science, Tallahassee, FL: Introduction to Research Seminar, 2002
  85. National Institutes of Health, Mathematical Research Branch, National Institute for Diabetes, Digestive, and Kidney Diseases, Bethesda, MD: Seminar, 2002
  86. Florida State University, School of Computational Science and Information Technology, Tallahassee, FL: Physical Sciences Colloquium, 2002
  87. FH Salzburg: Fachhochschulgesellschaft mbH, Salzburg University of Applied Sciences & Technology, School of Telecommunication Engineering, Salzburg, Austria: Colloquium, 2002
  88. Universität Salzburg, Institut für Scientific Computing, Salzburg, Austria: Scientific Computing Colloquium, 2002
  89. Università degli Studi di Bologna, Bologna, Italy: Seminario di Matematica, 2002
  90. Università degli Studi di Ferrara, Ferrara, Italy: Seminario di Analisi Numerica, 2002
  91. Università degli Studi di Ferrara, Ferrara, Italy: Seminario di Matematica, 2002
  92. Università degli Studi di Catania, Catania, Italy: Seminario di Analisi Numerica, 2002
  93. Università degli Studi di Catania, Catania, Italy: Seminario di Informatica, 2002
  94. Universität Salzburg, Institut für Mathematik, Salzburg, Austria: Mathematics Colloquium, 2002
  95. Technishe Universität Wien, Institut für Mikroelekronik, Vienna, Austria: Electrical Engineering Guest Lecture, 2002
  96. Université Libre de Bruxelles (Free University of Brussels), Service de Métrologie Nucléaire, Brussels, Belgium: Nuclear Engineering Colloquium, 2002
  97. Florida Atlantic University, Department of Physics, Boca Raton, FL: Physics Colloquium, 2002
  98. Florida State University, Department of Statistics, Tallahassee, FL: Statistics Colloquium, 2002
  99. Florida State University, Department of Computer Science, Tallahassee, FL: Computer Science Colloquium, 2002
  100. New York University, Courant Institute of Mathematical Sciences, New York, NY: Applied Mathematics Seminar, 2001
  101. National Institutes of Health, National Cancer Institute, Frederick Cancer Research and Development Center, Laboratory of Experimental and Computational Biology, Frederick, MD: Seminar, 2001
  102. National Institutes of Health, Mathematical Research Branch, National Institute for Diabetes, Digestive, and Kidney Diseases, Bethesda, MD: Seminar, 2001
  103. National Institute of Standards and Technology, Mathematics and Computational Science Division, Gaithersburg, MD: Seminar, 2001
  104. University of South Carolina, Department of Computer Science and Engineering, Columbia, SC: Computer Science and Engineering Colloquium, 2001
  105. University of South Carolina, Department of Computer Science and Engineering, Columbia, SC: Invited Lecture, Computational Science, 2001
  106. Emory University, Department of Mathematics and Computer Science, Atlanta, GA: Mathematics and Computer Science Colloquium, 2001
  107. Emory University, Department of Mathematics and Computer Science, Atlanta, GA: Computational Mathematics Seminar, 2001
  108. Florida State University, Department of Chemical Engineering, Tallahassee, FL: Chemical Engineering Colloquium, 2001
  109. Lawrence Livermore National Laboratory, Livermore, CA: Center for Applied Scientific Computing (CASC) Colloquium, 2001
  110. Lawrence Livermore National Laboratory, Livermore, CA: Monte Carlo Seminar (A-Division), 2001
  111. Lawrence Livermore National Laboratory, Livermore, CA: Internships in Terascale Simulation Technology (ITST) Lecture, 2001
  112. Bulgarian Academy of Sciences, Sofia, Bulgaria: Central Laboratory for Parallel Processing Colloquium, 2001
  113. Weierstraß Institut für Angewandte Analysis und Stochastik (WIAS), Weierstrass Institute for Applied Analysis and Stochastics, Berlin, Germany: Stochastic Algorithms Seminar, 2001
  114. Eidgenössische Technische Hochschule (ETH), Swiss Federal Institute of Technology, Zürich, Switzerland: Vector and Parallel Computing Colloquium, 2001
  115. Eidgenössische Technische Hochschule (ETH), Swiss Federal Institute of Technology, Zürich, Switzerland: Applied and Numerical Mathematics Colloquium, 2001
  116. Università degli Studi di Roma Una "La Sapienza", Rome, Italy: Seminario di Analisi Numerica, 2001
  117. Institut National de Recherche en Informatique et Automatique (INRIA), Sophia-Antipolis, France: Omega Project Seminar, 2001
  118. National Institute of Standards and Technology, Computational and Applied Mathematics, Gaithersburg, MD:  Seminar, 2001
  119. Oak Ridge National Laboratory, Computer Science and Mathematics Division, Oak Ridge, TN: Computer Science and Mathematics Seminar, 2001
  120. Florida State University, Center for Materials Research and Technology (MARTECH), Tallahassee, FL: Martech Seminar, 2001
  121. Florida State University, Department of Computer Science, Tallahassee, FL: Computer Science Colloquium, 2001
  122. Florida State University, Department of Mathematics, Tallahassee, FL: Mathematics Colloquium, 2001
  123. Florida State University, Department of Mathematics, Tallahassee, FL: Introduction to Research Seminar, 2001
  124. Florida State University, Department of Mathematics, Tallahassee, FL: Symbolic Computing Seminar, 2001
  125. Florida State University, Department of Mathematics, Tallahassee, FL: FSU Mathematics Society Seminar, 2001
  126. Florida State University, Department of Mathematics, Tallahassee, FL: Complex Analysis Seminar, 2001
  127. Florida State University, Department of Mathematics, Tallahassee, FL: Mathematics Colloquium, 2000
  128. Florida State University, Department of Mathematics, Tallahassee, FL: Cryptography Seminar, 2000
  129. University of California, Santa Barbara, Department of Computer Science, Santa Barbara, CA: Computer Science Colloquium, 2000
  130. University of Tokyo, Financial Engineering Department, Tokyo, Japan: Financial Engineering Seminar, 2000
  131. Universität Salzburg, Department of Computer Science, Salzburg, Austria: Computer Science Seminar, 2000
  132. Florida A&M University-Florida State University, Department of Electrical Engineering, Tallahassee, FL: Graduate Seminar, 2000
  133. Stetson University, Department of Mathematics, Deland, FL: Mathematics Colloquium, 1999
  134. Florida State University, Department of Mathematics, Tallahassee, FL: Mathematics Colloquium, 1999
  135. Florida State University, Department of Statistics, Tallahassee, FL: Statistics Colloquium, 1999
  136. Universität Salzburg, Institut für Mathematik, Salzburg, Austria: Mathematics Colloquium,1999
  137. Universität Salzburg, Institut für Mathematik, Salzburg, Austria: pLab Group Seminar, 1999
  138. Bettis Laboratory, West Mifflin, PA: Joint Bettis, KAPL, and Naval Reactors Seminar, 1999
  139. Bettis Laboratory, West Mifflin, PA: Reactor Methods and Programming Seminar, 1999
  140. Lawrence Berkeley National Laboratory, NERSC, Berkeley, CA: Scientific Computing Seminar, 1999
  141. University of Tennessee, Knoxville, TN: Innovative Computing Laboratory (Computer Science) Seminar, 1999
  142. Oak Ridge National Laboratory, Oak Ridge, TN: Center for Computational Science Seminar, 1999
  143. University of Michigan, Ann Arbor, MI: Nuclear Engineering and Radiological Sciences Colloquium, 1999
  144. University of Michigan, Ann Arbor, MI: Nuclear Engineering and Radiological Sciences Monte Carlo Seminar, 1999
  145. University of Texas, Austin, TX: Texas Institute for Computational and Applied Mathematics Seminar, 1999
  146. Florida State University, Tallahassee, FL: Computer Science Seminar, 1999
  147. Florida State University, Tallahassee, FL: Computational Science and Engineering Seminar, 1999
  148. NASA Langley Research Center, Hampton, VA: ICASE Colloquium, 1999
  149. Old Dominion University, Norfolk, VA: Computer Science Colloquium, 1999
  150. Mississippi State University, Starkville, MS: Mathematics Colloquium, 1998
  151. University of Mississippi, Oxford, MS: Mathematics Colloquium, 1998
  152. University of Mississippi, Oxford, MS: Computer Science Seminar, 1998
  153. Mississippi State University, Starkville, MS: Undergraduate Mathematics Seminar, 1998
  154. Tulane University, New Orleans, LA: Applied Mathematics Seminar, 1998
  155. Corps of Engineers Waterways Experiment Station, Vicksburg, MS: Information Technology Laboratory Colloquium, 1998
  156. NASA Jet Propulsion Laboratory, Pasadena, CA: Colloquium, 1998
  157. National Institute of Standards and Technology, Gaithersburg, MD: Information Technology Laboratory Seminar, 1998
  158. University of Illinois, Urbana-Champaign, IL: NCSA Colloquium, 1998
  159. University of Chicago, Chicago, IL: Computer Science Colloquium, 1998
  160. University of Kentucky, Lexington, KY: Computational Science Center Colloquium, 1998
  161. Sandia National Laboratory, Albuquerque, NM: Massively Parallel Computing Research Laboratory Seminar, 1997
  162. Rice University, Houston, TX: Center for Research in Parallel Computing Colloquium, 1997
  163. Mississippi State University, Starkville, MS: Graduate Student Seminar (Computer Science), 1997
  164. University of Utah, Salt Lake City, UT: Applied Mathematics Seminar, 1997
  165. Los Alamos National Laboratory, Los Alamos, NM: Monte Carlo Seminar, 1997
  166. Lawrence Livermore National Laboratory, Livermore, CA: Monte Carlo Seminar, 1997
  167. NASA Goddard Space Flight Center, Greenbelt, MD: CESDIS Colloquium, 1997
  168. Purdue University, West Lafayette, IN: Computer Sciences Colloquium, 1997
  169. Argonne National Laboratory, IL: Reactor Analysis Seminar, 1997
  170. University of Wisconsin, Madison, WI: Numerical Analysis Seminar, 1997
  171. University of Iowa, Iowa City, IA: Mathematics Colloquium, 1997
  172. Catholic University of America, Washington, DC: Mathematics Colloquium, 1996
  173. University of Southern Mississippi; Hattiesburg, MS: Scientific Computing Colloquium, 1996
  174. Lawrence Berkeley National Laboratory, Berkeley, CA: NERSC Colloquium, 1996
  175. Università degli Studi di Padova; Padova, Italy: Seminario di Analisi Numerica, 1996
  176. Università degli Studi di Milano; Milano, Italy: Seminario di Matematica, 1996
  177. Università degli Studi di Bologna; Bologna, Italy: Seminario di Matematica, 1996
  178. University of Wisconsin, Madison, WI: Numerical Analysis Seminar, 1996
  179. University of Illinois at Urbana-Champaign, Urbana, IL: Computer Science Colloquium, 1996
  180. San Francisco State University, San Francisco, CA: Mathematics Colloquium, 1996
  181. IBM-T. J. Watson Laboratory, Yorktown Heights, NY: Physical Sciences Seminar, 1996
  182. University of Maryland, College Park, MD: Numerical Analysis Seminar, 1996
  183. University of Michigan, Ann Arbor, MI: Special Nuclear Engineering Seminar, 1996
  184. University of Michigan, Ann Arbor, MI: Special Applied Mathematics Seminar, 1996
  185. University of Illinois at Urbana-Champaign, Urbana, IL: Computer Science Colloquium, 1996
  186. Johns Hopkins University, Baltimore, MD: Applied Mathematics Special Seminar, 1996
  187. Virginia Tech., Blacksburg, VA: Graduate Seminar Series, Department of Computer Science, 1995
  188. NASA Ames Research Center, Moffett Field, CA: NAS New Technology Seminar (Two Talks Given), 1995
  189. SUNY, Stony Brook, NY: Joint AMS/BNL Applied Mathematics Seminar, 1995
  190. Courant Institute of Mathematical Sciences-NYU, New York, NY: Modeling and Simulation Seminar, 1995
  191. Stanford University, Palo Alto, CA: Computer Science Colloquium, 1995
  192. Naval Research Laboratory, Washington, DC: Computational Neuroscience Seminar, 1995
  193. Catholic University of America, Washington, DC: Mathematics Colloquium, 1995
  194. University of Arizona, Tucson, AZ: Computer Science Colloquium, 1994
  195. Arizona State University, Tempe, AZ: Computational and Applied Mathematics Proseminar, 1994
  196. University of Illinois, Champaign, IL: Condensed Matter Physics Colloquium, 1994
  197. George Washington University, Washington, DC: Mathematics Department Colloquium, 1994
  198. National Institute of Standards and Technology, Gaithersburg, MD: Computational and Applied Mathematics Laboratory Seminar, 1994
  199. IDA Center for Communications Research-La Jolla, San Diego, CA: Colloquium, 1994
  200. Courant Institute of Mathematical Sciences-NYU, New York, NY: Numerical Analysis Seminar, 1994
  201. AT&T, Bell Laboratories, Murray Hill, NJ: Mathematics of Communications Division Colloquium, 1994
  202. Georgetown University, Washington, D.C.: Computer Science Colloquium, 1994
  203. NASA-Ames Research Center, Moffett Field, CA: NAS-RIACS Seminar, 1993
  204. Lawrence Livermore National Laboratory, Livermore, CA: Parallel Computing Seminar, 1993
  205. Lawrence Berkeley National Laboratory, Berkeley, CA: Parallel Computing Seminar, 1993
  206. The American University, Washington, DC: Mathematics Colloquium, 1993
  207. Baltimore-Washington Local SIAM Dinner, College Park, MD: Meeting Seminar, 1992
  208. Bell Communications Research, Morristown, NJ: Mathematics Colloquium, 1992
  209. Columbia University, New York, NY, Applied Physics: Colloquium, 1992
  210. IBM Corporation, Kingston, NY: Mathematical Sciences Seminar, 1992
  211. University of Maryland, Baltimore County, MD, Mathematics: Applied Mathematics Colloquium, 1992
  212. University of Southern California, Los Angeles, CA, Mathematics: Nonlinear Analysis Seminar, 1991
  213. University of Pittsburgh, Pittsburgh, PA, Mathematics: Numerical Analysis Seminar, 1991
  214. SUNY, Stony Brook, NY, Applied Mathematics: Computational Mathematics Seminar, 1991
  215. University of California, Los Angeles, CA, Computer Science: Seminar, 1991
  216. California Institute of Technology, Pasadena, CA, Applied Mathematics: Seminar, 1991
  217. Thinking Machines Corporation, Cambridge, MA: Guest Lecture, 1991
  218. BBN Inc., Cambridge, MA: Applied and Computational Mathematics Colloquium, 1991
  219. Brookhaven National Laboratory, Upton, NY, Mathematical Sciences: Seminar, 1991
  220. National Institute of Standards and Technology, Gaithersburg, MD: Computational and Applied Mathematics Seminar, 1991
  221. Naval Research Laboratory, Washington, DC: Acoustics Branch Seminar, 1990
  222. IBM-T. J. Watson Laboratory, Yorktown Heights, NY: Mathematical Sciences Seminar, 1990
  223. NASA-Ames Research Center, Moffett Field, CA: NAS-RIACS Seminar, 1990
  224. Yale University, New Haven, CT, Computer Science: Seminar, 1990
  225. John von Neumann National Supercomputer Center, Princeton, NJ: Colloquium, 1990
  226. University of Maryland, College Park, MD: Numerical Analysis Seminar, 1989
  227. Washington Area Connection Machine User's Group, Catholic University of America., Washington, DC: Meeting Seminar, 1989
  228. Courant Institute of Mathematical Sciences-NYU, New York, NY: Applied Mathematics Seminar, 1989
  229. Naval Research Laboratory, Washington, D.C., Connection Machine Facility: Seminar, 1989
  230. NASA-Goddard Space Flight Center, Greenbelt, MD: Seminar, 1989
  231. Courant Institute of Mathematical Sciences-NYU, New York, NY: Parallel Computation Seminar, 1988
  232. Division of Computer Research and Technology, NIH, Bethesda, MD: Seminar, 1988
  233. Supercomputing Research Center, Bowie, MD: Colloquium, 1988
  234. California Institute of Technology, Pasadena, CA, Computation and Neural Systems: Seminar, 1988
  235. Mathematical Research Branch, NIDDK, NIH, Bethesda, MD: Seminar, 1987
  236. National Cancer Institute, Frederick, MD: Mathematical Biology Seminar, 1987
  237. Tulane University, New Orleans, LA: Mathematics Colloquium, 1987
  238. Courant Institute of Mathematical Sciences-NYU, New York, NY: Numerical Analysis Seminar, 1987
  239. Hunter College, New York, NY: Computer Science Colloquium, 1987
  240. Courant Institute of Mathematical Sciences-NYU., New York, NY: Mathematical Biology Seminar, 1987

Invited Conference Presentations:

  1. ULAM100: Ulam Centennial Conference, University of Florida, Gainesville, FL: 60-minute invited talk entitled: Monte Carlo Methods: Early History and the basics (March, 2009)
  2. SC08: International Conference for High Performance Computing, Networking, Storage and Analysis, Austin, TX: 90-minute invited talk in the Educational Program entitled: SPRNG Awakenings; Random Numbers, Monte Carlo, Parallel Computing: Toxic Mix? (November, 2008)
  3. ACS 2008: The American Chemical Society Annual Meeting, Special Session on Computational Chemistry, Philadelphia, PA: 45-minute invited talk entitled: Novel Stochastic Methods in Biochemical Electrostatics. (August, 2008)
  4. FAME 2008: The Florida Annual Meeting and Exposition, sponsored by the Florida Section of the American Chemical Society, Orlando, FL: 30-minute invited in the Biophysics Symposium entitled: Novel Stochastic Methods in Biochemical Electrostatics. (May, 2008)
  5. PDCoF 2008: Parallel and Distributed Computing in Finance (Computational Finance) in conjunction with IPDPS08, Miami, FL: 55-minute keynote talk entitled: Random Number Generation for Serial, Parallel, Distributed, and Grid-based Financial Computations. (April, 2008)
  6. Symposium: Applied Characterization of Random Number Generators and Related Topics, Institute of Statistical Mathematics , Tokyo, Japan, 30-minute invited talk entitled Random Number Generation: A Practitioner's Overview. (January, 2008)
  7. SC07: International Conference for High Performance Computing, Networking, Storage and Analysis, Educational Program, Reno, NV: 120-minute invited talk entitled Monte Carlo in Reno. (November, 2007)
  8. ICIAM 2007: The Sixth International Congress on Industrial and Applied Mathematics, Zürich, Switzerland: invited minisymposium Computational Science and Engineering (CSE) with membership in a 60-minute invited panel entitled: CSE has landed: who will give it a home and budget? (July, 2007)
  9. ICIAM 2007: The Sixth International Congress on Industrial and Applied Mathematics, Zürich, Switzerland: 30-minute invited minisymposium Stochastic Numerics: Monte-Carlo methods, SDEs, PDEs with a talk entitled: Recent Developments in the Scalable Parallel Random-Number Generators (SPRNG) Library. (July, 2007)
  10. ICIAM 2007: The Sixth International Congress on Industrial and Applied Mathematics, Zürich, Switzerland: 30-minute invited minisymposium Stochastic Numerics: Monte-Carlo methods, SDEs, PDEs with a talk entitled: Monte-Carlo Methods for Problems in Biological Electrostatics. (July, 2007)
  11. ICIAM 2007: The Sixth International Congress on Industrial and Applied Mathematics, Zürich, Switzerland: 30-minute invited minisymposium Computational Science and Engineering (CSE) with a talk entitled: Computational Science Education in the United States. (July, 2007)
  12. MCM2007:  The Sixth IMACS Seminar on Monte Carlo Methods, Reading University, Reading, UK: 60-minute invited talk entitled: Monte Carlo Methods for Partial Differential Equations . (June, 2007)
  13. Grid Computing Symposium, North Carolina Agricultural and Technical University, Greensboro, NC: 45-minute invited talk entitled: Grid Computing at FSU . (April, 2007)
  14. Workshop on Numerics for Stochastic Differential Equations and Application, School of Computational Science, Florida State University, Tallahassee, FL: 60-minute invited talk entitled: Using Simple SDEs (Stochastic Differential Equations) to Solve Complicated PDEs (Partial Differential Equations) . (September, 2005)
  15. Workshop on Computational Stochastic Differential Equations, The Mathematical Research and Conference Center, Institute of Mathematics, Polish Academy of Sciences, Będlewo (Poznań), Poland: 30-minute invited talk entitled: A Monte Carlo Method for Solving Boundary-Value Problems Arising in Continuum Molecular Electrostatics. (September, 2005)
  16. 17th IMACS World Congress, Scientific Computation, Applied Mathematics and Simulation, IMACS 2005, Paris, France: 25-minute invited talk in the Workshop on Large-Scale Linear Algebra Grid Computing entitled: A Bio-Inspired Job Scheduling Algorithm for Monte Carlo Applications on a Computational Grid. (July, 2005)
  17. 17th IMACS World Congress, Scientific Computation, Applied Mathematics and Simulation, IMACS 2005, Paris, France: 25-minute invited talk in the Workshop on Monte Carlo Methods for PDEs and Applications in Turbulence, Biochemistry, and Finance entitled (presented by co-author Nikolai Simonov): The Method of Random Walk on Spheres for Solving Boundary-Value problems for Molecular Electrostatics. (July, 2005)
  18. 17th IMACS World Congress, Scientific Computation, Applied Mathematics and Simulation, IMACS 2005, Paris, France: 25-minute invited talk in the Workshop on Monte Carlo Methods for PDEs and Applications in Turbulence, Biochemistry, and Finance entitled: Computational Investigation of Optimal Quasirandom Sequences in Numerical Finance. (July, 2005)
  19. Fifth International Conference on Computational Science: ICCS 2005, Emory University, Atlanta, GA: 25-minute invited talk in the Workshop on Parallel Monte Carlo Algorithms for Diverse Applications in a Distributed Setting entitled: An Efficient Monte Carlo Approach for Solving Linear Problems of Biomolecular Electrostatics. (May, 2005)
  20. Fifth International Conference on Computational Science: ICCS 2005, Emory University, Atlanta, GA: 25-minute invited talk in the Workshop on Parallel Monte Carlo Algorithms for Diverse Applications in a Distributed Setting entitled: On the Scrambled Soboĺ Sequence. (May, 2005)
  21. Society for Industrial and Applied Mathematics 2005 Conference on Computational Science and Engineering, Orlando, FL: 30-minute invited talk in the Minisymposium on Monte Carlo Computations in Biology and Materials Science entitled: Monte Carlo Methods in Biological Electrostatics. (February 2005)
  22. Society for Industrial and Applied Mathematics 2005 Conference on Computational Science and Engineering, Orlando, FL: 30-minute invited talk in the Minisymposium on Critical Issues in the Application of Multi-scale Techniques to Computational Nanotechnology entitled (presented by co-author Ashok Srinivasan): Continuum Molecular Electrostatics via Monte Carlo Methods. (February 2005)
  23. American Mathematical Society 2004 Spring Southeastern Section Meeting, Florida State University, Tallahassee, FL: 30-minute invited talk in the Special Session on Application of Mathematics to Problems in Biology entitled: Monte Carlo Methods for Calculating Some Physical Properties of a Large Molecule. (March, 2004)
  24. Seventh Joint Conference on Information Sciences (JCIS 2003)/Seventh International Conference on Computer Science and Informatics, Research Triangle Park, NC: 40-minute invited talk entitled: Quasi-Monte Carlo Methods for Some Problems in Linear Algebra. (September, 2003)
  25. Fourth IMACS Seminar on Monte Carlo Methods, Berlin, Germany: 20-minute invited talk entitled: Grid-based Quasi-Monte Carlo Applications. (September, 2003)
  26. Fourth IMACS Seminar on Monte Carlo Methods, Berlin, Germany: 20-minute invited talk entitled (presented by co-author Nikolai Simonov): Random Walk Algorithms for the Estimation of Effective Properties for Digitized Porous Media. (September, 2003)
  27. Fourth IMACS Seminar on Monte Carlo Methods, Berlin, Germany: 20-minute invited talk entitled: On the Scrambled Halton Sequence. (September, 2003)
  28. Fourth IMACS Seminar on Monte Carlo Methods, Berlin, Germany: 20-minute invited talk entitled (presented by co-author Aneta Karaivanova): Parallel Quasirandom Walks on the Boundary. (September, 2003)
  29. Fourth IMACS Seminar on Monte Carlo Methods, Berlin, Germany: 20-minute invited talk entitled (presented by co-author Abdujabar Rasulov): Branching Random Walks Using Quasirandom Sequences.  Is That Possible? (September, 2003)
  30. Fifth International Congress on Industrial and Applied Mathematics (ICIAM 2003), Sydney, Australia: 30-minute invited minisymposium talk entitled:  Computing the Capacitance of the Unit Cube to High Accuracy. (July, 2003)
  31. Fifth International Congress on Industrial and Applied Mathematics (ICIAM 2003), Sydney, Australia: 30-minute invited minisymposium talk entitled:  Monte Carlo Methods for Computing Electrostatic Internal Energies of Large Molecules. (July, 2003)
  32. Fourth International Conference on Large-Scale Scientific Computations (LSSC'03), Sozopol, Bulgaria: 50-minute invited plenary talk entitled:  Computational Infrastructure for Parallel, Distributed, and Grid-based Monte Carlo Computations. (June, 2003)
  33. Algorithms and Complexity for Continuous Problems: Schloss Dagstuhl International Conference and Research Center for Computer Science, Dagstuhl, Germany:  25-minute invited talk (presented by co-author Emanouil Atanassov) entitled Efficient Generation of Low Discrepancy Sequences. (September 2002)
  34. Algorithms and Complexity for Continuous Problems: Schloss Dagstuhl International Conference and Research Center for Computer Science,, Dagstuhl, Germany:  25-minute invited talk (presented by co-author Aneta Karaivanova) entitled Quasi-Monte Carlo Methods for Some Linear Algebra Problems, Convergence and Complexity. (September 2002)
  35. Fifth International Conference on Numerical Methods and Applications (MN&A 02), Borovets, Bulgaria; 45-minute invited plenary talk entitled Stochastic Methods for Partial Differential Equations: Avoiding Complicated Deterministic Constructs in Applications. (August 2002)
  36. Institute for Mathematics and It's Applications, Foundations of Computational Mathematics 2002, University of Minnesota, Minneapolis, MN; 50-minute invited semiplenary talk entitled Stochastic Methods for Partial Differential Equations: Theory and Applications. (August 2002)
  37. Centre de Recherché Mathematiques: Workshop on Random Number Generation and Highly Uniform Uniform Point Sets, Université de Montréal, Québec, Canada: 60-minute invited talk entitled Random Number Requirements of Large Monte Carlo Applications: A Developer's Perspective. (June 2002)
  38. Scalable Parallel Random Number Generators (SPRNG) Workshop, Sandia National Laboratory, Albuquerque, NM: a 120-minute invited  talk entitled Recent Developments and Future Plans for the Scalable Parallel Random Number Generators (SPRNG) Library. (February, 2002)
  39. Third IMACS Seminar on Monte Carlo Methods, Salzburg, Austria: 30-minute invited talk entitled A Feynman-Kac Formula Implementation for the Linearized Poisson-Boltzmann Equation.  (September, 2001)
  40. European Conference on Numerical Mathematics Advanced Applications 2001, Ischia Porto, Naples, Italy: 25-minute invited minisymposium talk entitled Continuous Path Brownian Trajectories for Diffusion Monte Carlo Via First- and Last-Passage Distributions, (July 2001)
  41. European Conference on Numerical Mathematics Advanced Applications 2001, Ischia Porto, Naples, Italy: 25-minute invited minisymposium talk entitled SPRNG: A Scalable Library for Pseudorandom Number Generation, (July 2001)
  42. European Conference on Numerical Mathematics Advanced Applications 2001, Ischia Porto, Naples, Italy: 25-minute invited minisymposium talk entitled Feynman-Kac Path-Integral Implementation for Poisson's Equation Using an F-conditioned Green's Function, presented by C.-O. Hwang, (July 2001)
  43. Third International Conference on Large-Scale Scientific Computations, Sozopol, Bulgaria: 30-minute invited talk entitled Continuous Path Brownian Trajectories for Diffusion Monte Carlo Via First- and Last-Passage Distributions, (June 2001)
  44. The 2001 International Conference on Computational Science, San Francisco, CA: 20-minute invited minisymposium talk entitled A Feynman-Kac Path-Integral Implementation for Poisson's Equation, presented by C.-O. Hwang, (May 2001)
  45. Journées savoisiennes de mathématiques appliquées, Methodes Particulaires de Simulation Numerique (Particle Methods for Numerical Simulation), Université de Savoie, Le Bourget-du-Lac, France: 60-minute invited talk entitled New Monte Carlo Methods for Problems in Materials and Biology. (May, 2001)
  46. The Fourth International Conference on Supercomputing in Nuclear Applications, Toranoman-Pastoral, Tokyo, Japan: 35-minute invited talk entitled Theory and Software for Parallel Random Number Generation. (September, 2000)
  47. Numerical Methods and Applications, Sofia, Bulgaria: 35-minute Invited Talk entitled SPRNG: A Scalable Library for Pseudorandom Number Generation. (July 1998)
  48. NATO Advanced Study Institute: Quantum Monte Carlo Methods in Physics and Chemistry, Cornell University, Ithaca, NY: 90-minute talk entitled Serial and Parallel Random Number Generation: Theory and Practice. (June 1998)
  49. American Nuclear Society Mathematics and Computation Division, American Nuclear Society Annual Meeting, Nashville, TN: 90-minute roundtable entitled Current Issues in Computational Methods. (June 1998)
  50. Programming Environment and Training Workshop entitled "High-Performance Monte Carlo Tools," Stennis Space Center, MS: 45-minute invited talk entitled Future Trends in Random Number Generation. (April 1998)
  51. Institute for Mathematics and Its Applications, Special Year in High Performance Computing: Workshop on Algorithms for Parallel Processing, University of Minnesota, Minneapolis, MN: 60-minute talk entitled A Scalable Library for Pseudorandom Number Generation: Theory and Practice. (September, 1996)
  52. Centre de Recherché Mathematiques: Workshop on Pseudorandom Number Generation, Université de Montréal, Québec, Canada; 90-minute talk entitled A Scalable Library for Pseudorandom Number Generation: Theory and Practice. (June 1996)
  53. DARPA/ITO Computing Systems and Software Principal Investigator's Meeting, San Antonio, TX; 10-minute talk entitled Scalable Pseudorandom Number Generation Tools for Monte Carlo Computations. (March 1996)
  54. Mathematical Sciences Institute Workshop on Stochastic Modeling, The University at Stony Brook, NY; 30-minute invited talk entitled A Gradient Random Walk Method for Two-Dimensional Reaction-Diffusion Equations. (January 1995)
  55. Argonne Theory Institute; Parallel Monte Carlo Simulation: Issues, Tools, and Techniques; Argonne National Laboratory, IL: 2-hour invited talk entitled Parallel Monte Carlo Methods for Partial Differential Equations. (June 1990)
  56. West Virginia University Conference on Computational Research on Materials, Morgantown, WV, invited talk entitled Techniques of Parallel Processing: The Need for New Algorithms. (March 1990)
  57. AMS/IMS/SIAM Conference on "Statistical Multiple Integration'', Arcata, CA: invited talk entitled Random Walks, Elliptic Equations, and Massively Parallel Computing. (June 1989)
  58. SIGGRAPH `88, Atlanta, GA; invited talk to the International Iris User Forum on Scientific Visualization entitled Simulation of Networks of Neurons and scientific images contributed to Scientific Visualization, the National Center for Supercomputing Applications' contribution to the SIGGRAPH `88 Video and Animation Show. (August 1988)

Contributed Conference Presentations:

  1. Institute of Mathematics and Its Application Workshop on Solvation, Minneapolis, MN: poster entitled Novel Stochastic Methods in Biochemical Electrostatics. (December, 2008)
  2. SIAM Conference on Parallel Processing for Scientific Computing, Atlanta, GA: minisymposium entitled Parallel Stochastic Methods in Computational Biology, 30-minute contributed talk entitled Novel Stochastic Methods in Biochemical Electrostatics. (March, 2008)
  3. SIAM Conference on Parallel Processing for Scientific Computing, Atlanta, GA: minisymposium entitled Parallel Stochastic Methods in Computational Biology, 30-minute contributed talk entitled Estimation of Migration Rates and Effective Population Numbers by Using Importance Sampling, presented for authors Hongmei Chi and Peter Beerli. (March, 2008)
  4. SIAM Conference on Parallel Processing for Scientific Computing, Atlanta, GA: poster entitled The Scalable Parallel Random Number Generators (SPRNG) Library Version 4.0, with co-author Jane Ren. (March, 2008)
  5. SC07: International Conference for High Performance Computing, Networking, Storage and Analysis, Technical Program, Reno, NV: poster entitled Decentralized Replica Exchange Parallel Tempering: An Efficient Implementation of Parallel Tempering using MPI and SPRNG, with co-authors Yaohang Li and Andrey Gorin. (November, 2007)
  6. Society for Neuroscience 2007 Annual Meeting, Neuroscience 2007, San Diego, CA: presentation 925.7, poster entitled: Spontaneous Episodic Activity: Why Episode Duration is Correlated with the Length of the Preceding but not Following Interval, with co-authors Joël Tabak and Richard Bertram. (November, 2007)
  7. MCM2007:  The Sixth IMACS Seminar on Monte Carlo Methods, Reading University, Reading, UK: 30-minute contributed talk (presented by co-author Bart Vandewoestyne) entitled: An Empirical Investigation of Different Scrambling Methods for Faure Sequences. (June, 2007)
  8. MCM2007:  The Sixth IMACS Seminar on Monte Carlo Methods, Reading University, Reading, UK: 30-minute contributed talk entitled: Monte Carlo Methods for Calculating Coefficient Dependence in Poisson-Boltzmann Problems. (June, 2007)
  9. MCM2007:  The Sixth IMACS Seminar on Monte Carlo Methods, Reading University, Reading, UK: 30-minute contributed talk on behalf of Wesley Petersen entitled: Playing with Parallelism with Playstations. (June, 2007)
  10. GFMC40:  A Symposium Celebrating 40 Years of Green's Function Monte Carlo, Courant Institute of Mathematical Sciences, New York University, New York, NY: 15-minute contributed talk entitled: Monte Carlo Methods for Partial Differential Equations . (May, 2007)
  11. Applications of Mathematics in Biology, Physiology, and Medicine, Courant Institute of Mathematical Sciences, New York University, New York, NY: 30-minute contributed talk entitled: Using Simple SDEs (Stochastic Differential Equations) to Solve Complicated PDEs (Partial Differential Equations) . (October, 2006)
  12. Schweizer Numerik Kolloquium/Colloque Numérique Suisse 2006, Ecole Polytechnique Fédérale de Lausanne (EPFL), Swiss Federal Institute of Technology, Chaire d'Analyse et Simulation Numériques, Institut d'Analyse et Calcul Scientifique, Lausanne, Switzerland: contributed poster entitled: Monte Carlo Methods for Partial Differential Equations: Computing Permeability. (April, 2006)
  13. International Conference on Differential Equations: From Theory to Computational Science and Engineering, Eidgenössische Technische Hochschule (ETH Zürich), Swiss Federal Institute of Technology, Zürich, Switzerland: 30-minute contributed talk entitled: Stochastic Method for Elliptic Problems: Applications to Biological and Materials Science.  (October, 2005)
  14. Fifth IMACS Seminar on Monte Carlo Methods: MCM2005, Florida State University, Tallahassee, FL: 25-minute contributed talk (presented by co-author Hongmei Chi) entitled: Combined LCGs with Sophie-Germain Moduli.  (May, 2005)
  15. Fifth IMACS Seminar on Monte Carlo Methods: MCM2005, Florida State University, Tallahassee, FL: 25-minute contributed talk (presented by co-author Yaohang Li) entitled: Test of the Rule 30 Cellular Automata Random Number Generator.  (May, 2005)
  16. Fifth IMACS Seminar on Monte Carlo Methods: MCM2005, Florida State University, Tallahassee, FL: 25-minute contributed talk (presented by co-author Abdujabor Rasulov) entitled: Monte Carlo Solution of Initial Boundary Problem for Some Nonlinear Parabolic Equations.  (May, 2005)
  17. Fifth IMACS Seminar on Monte Carlo Methods: MCM2005, Florida State University, Tallahassee, FL: 25-minute contributed talk entitled: Monte Carlo Applications on the Computational Grid.  (May, 2005)
  18. Fifth IMACS Seminar on Monte Carlo Methods: MCM2005, Florida State University, Tallahassee, FL: 25-minute contributed talk (presented by co-author Nikolai Simonov) entitled: Random Walk Algorithms for Solving some Boundary-Value Problems in Biomolecular Electrostatics.  (May, 2005)
  19. Algorithmes et Applications Paralleles en Algebre Linear (Parallel Matrix Algorithms and Applications): PMAA04, Centre International de Rencontres Mathématiques (CIRM), Luminy, France: 25-minute contributed talk entitled: A Monte Carlo Scheme for Load Balancing.  (October, 2004)
  20. International Association for the Development of the Information Society (IADIS) International Conference: e-Society 2004, Avila, Spain: 30-minute contributed talk entitled: E-Science Workflow on the Grid.  (July, 2004)
  21. The International Conference on Computational Mathematics, Novosibirsk, Russia: 30-minute contributed talk (presented by co-author Nikolai Simonov) entitled: Random Walk Algorithms for Estimating Electrostatic Properties of Large Molecules.  (June, 2004)
  22. Sixth International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing and the Second International Conference on Monte Carlo and Probabilistic Methods for Partial Differential Equations (MC²QMC2004), Juan-Les-Pins, France: 30-minute contributed talk (presented by co-author Emanouil Atanassov) entitled: Efficient Generation of Low-discrepancy Sequences.  (June, 2004)
  23. Sixth International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing and the Second International Conference on Monte Carlo and Probabilistic Methods for Partial Differential Equations (MC²QMC2004), Juan-Les-Pins, France: 30-minute contributed talk entitled: On the Scrambled Soboĺ Sequence.  (June, 2004)
  24. Computational Finance 2004, Bologna, Italy: 30-minute contributed talk entitled: Optimal Quasi-Monte Carlo Valuation of Derivative Securities.  (April, 2004)
  25. The International Conference on Computational Science, St. Petersburg, Russia: 30-minute contributed talk (presented by co-author Nikolai Simonov) entitled:  Monte Carlo Method for Calculating the Electrostatic Energy of a Molecule. (June, 2003)
  26. First International Workshop on Biomedical Computations on the Grid-BioGrid'03, Tokyo, Japan: 30-minute contributed talk entitled: Grid-based Nonequilibrium Multiple-Time Scale Molecular Dynamics/Brownian Dynamics Simulations of Ligand-Receptor Interactions in Structured Protein Systems.  (May, 2003)
  27. Third IEEE/ACM International Symposium on Cluster Computing and the Grid-CCGrid2003, Tokyo, Japan, 30-minute contributed talk entitled: Improving Performance via Computational Replication on a Large-Scale Computational Grid.  (May, 2003)
  28. Grid Computing-GRID 2002, Baltimore, MD: 30-minute contributed talk (presented by co-author Yaohang Li) entitled: Grid-Based Monte Carlo Application.  (November, 2002)
  29. The International Conference on Computational Mathematics, Novosibirsk, Russia: 30-minute contributed talk (presented by co-author Nikolai Simonov) entitled: Random Walk on the Boundary Methods for Computing Reaction Rate and Capacitance.  (June, 2002)
  30. The American Physical Society Annual Meeting, Indianapolis, Indiana: 20-minute contributed talk (presented by co-author Chi-Ok Hwang) entitled: First- and Last-passage Algorithms for Charge Density Calculations on a Conducting Surface.  (March, 2002).
  31. Third IMACS Seminar on Monte Carlo Methods, Salzburg, Austria: 35-minute contributed talk entitled: First- and Last-Passage Diffusion: Key Concepts in the Study of Porous and Composite Media.  (September, 2001)
  32. Third IMACS Seminar on Monte Carlo Methods, Salzburg, Austria: 30-minute contributed talk entitled: A Feynman-Kac Path-Integral Implementation for Poisson's Equation Using an h-conditioned Green's Function.  (September, 2001)
  33. Fourth International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing, Hong Kong, China: 25-minute contributed talk entitled: Parallel Quasi-Monte Carlo Methods for Computing Extremal Eigenvalues.  (November 2000)
  34. International Conference on Parallel Processing 2000 Workshop on Scalable Web Services, Toronto, Canada: 30-minute contributed talk entitled: The Cycle Server: A Web Platform for Running Parallel Monte Carlo Applications on a Heterogeneous Condor Pool of Workstations.  (August, 2000)
  35. International Conference on Monte Carlo and Probabilistic Methods for Partial Differential Equations, Monte Carlo, Monaco: 30-minute contributed talk entitled: Quasi-Monte Carlo for Elliptic Boundary Value Problems.  (July, 2000)
  36. International Conference on Monte Carlo and Probabilistic Methods for Partial Differential Equations, Monte Carlo, Monaco: 30-minute contributed talk entitled: A New Fluid Permeability Estimation in Period Grain Consolidation Models of Overlapping and Nonoverlapping Sphere Models of Porous Media.  (July, 2000)
  37. International Conference on Monte Carlo Simulations, Monte Carlo, Monaco: 30-minute contributed talk entitled: Parallel Inversive Congruential Generators:  Software and Field-Programmable Gate Array Implementations.  (June, 2000)
  38. Ninth SIAM Conference on Parallel Processing for Scientific Computing, San Antonio, TX: Organizer and participant in a 2-hour Minisymposium entitled: Algorithms and Software for Parallel and Distributed Monte Carlo Computations.  (March ,1999)
  39. First Southern Symposium on Computing, Hattiesburg, MS: Organizer, moderator, and participant in a 2-hour Minisymposium entitled: Random Number Generation and Monte Carlo Research at USM.  (December 1998)
  40. SC'98, Orlando, FL: Organizer, moderator, and participant in a 150-minute panel entitled: Producing Computational Science Students Ready to Work.  (November, 1998)
  41. Third International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing, Claremont, CA: 25-minute talk entitled: SPRNG: A Scalable Library for Monte Carlo Applications.  (July, 1998)
  42. Third International Conference on Monte Carlo and Quasi Monte Carlo Methods in Scientific Computing, Claremont, CA: 25-minute talk entitled: Testing Parallel Random Number Generators, presented by joint author A. Srinivasan.  (July, 1998)
  43. SIAM 1997 Annual Meeting, Stanford, CA; 15-minute talk entitled: A Non-linear Fibonacci Pseudorandom Number Generator.  (July, 1997)
  44. Seventh SIAM Conference on Parallel Processing for Scientific Computing, San Francisco, CA; 20-minute talk entitled: An Analysis of the Parallel Computation of Arbitrarily Branched Cable Neuron Models.  (March, 1995)
  45. Seventh SIAM Conference on Parallel Processing for Scientific Computing, San Francisco, CA; 20-minute talk entitled: Techniques for Testing the Quality of Parallel Pseudorandom Number Generators, presented by joint author S. Cuccaro.  (March, 1995)
  46. Supercomputing '94, Washington, D.C.: 30-minute talk entitled: Implementation and Usage of a Portable and Reproducible Parallel Pseudorandom Number Generators, presented by joint author D. Pryor.  (November, 1994)
  47. SIAM 1994 Annual Meeting, San Diego, CA; 15-minute talk entitled: Two Domain Decompositions Yield an Effective Vector/Parallel Algorithm for Nerve Equations on Branching One-Dimensional Domains.  (August, 1994)
  48. Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing, University of Nevada, Las Vegas: 20-minute talk entitled: A Fast, High Quality, and Reproducible Parallel Lagged-Fibonacci Pseudorandom Number Generator.  (June, 1994)
  49. Sixth SIAM Conference on Parallel Processing for Scientific Computing, Norfolk, VA; 30-minute talk entitled: Recent Developments in Parallel Pseudorandom Number Generation.  (March, 1993)
  50. 1992 Gordon Research Conference on "Software Tools and Libraries for Concurrent Supercomputing'', Plymouth, NH; poster entitled: A Deterministic and Reproducible Lagged-Fibonacci Pseudorandom Number Generator.  (July, 1992)
  51. SIAM 1992 Annual Meeting, Los Angeles, CA; contributed talk entitled: A Gradient Random Walk Method for Two-Dimensional Reaction-Diffusion Equations.  (June, 1992)
  52. NSF/CBMS Regional Research Conference on Multigrid and Multilevel Adaptive Methods for Partial Differential Equations, Washington, D.C.; talk entitled: Towards Monte Carlo Multigrid Methods.  (May, 1992)
  53. UMIACS Workshop on Massively Parallel Computing, University of Maryland, College Park, MD: talk entitled: Monte Carlo Multigrid Methods.  (April, 1992)
  54. Fourth SIAM Conference on Parallel Processing for Scientific Computing, Chicago, IL: poster entitled: A New Monte Carlo Algorithm for Solving Elliptic Problems on Massively Parallel Computers.  (December, 1991)
  55. Sixth Parallel Circus, Courant Institute of Mathematical Sciences, NYU, New York, NY: talk entitled: Parallel Wiener Integral Methods for Elliptic Boundary Value Problems.  (March, 1988)
  56. Society for Neuroscience 1987 Annual Meeting, New Orleans, LA: poster entitled: Computer Studies of Negative Feedback in the Nervous System.  (September, 1987)

Tutorials:

  1. The Institute of Statistical Mathematics, Tokyo, Japan: Three hour tutorial entitled The Scalable Parallel Random Number Generators (SPRNG) Library: A Tutorial. (January, 2008)
  2. San Diego Supercomputing Center Summer Parallel Computing Institute, University of California, San Diego, CA: Two hour tutorial entitled Random, Pseudorandom, and Quasirandom Numbers and Their Generation in Serial and Parallel.  (August, 2000)
  3. NATO Advanced Study Institute: Quantum Monte Carlo Methods in Physics and Chemistry, Cornell University, Ithaca, NY: Two day tutorial on the Scalable Parallel Random Number Generators Library.  (June, 1998)
  4. Distributed Memory Computer Conference 6, Portland, OR; half-day tutorial entitled Monte Carlo for Partial Differential Equations: Highly Parallel Methods Based on Statistical Sampling.  (April, 1991)
  5. Supercomputing '90: New York, NY: A full-day tutorial entitled Monte Carlo for Partial Differential Equations: Highly Parallel Methods Based on Statistical Sampling.  (November, 1990)

Research Grants:

  1. Japan Society for Promotion of Science (JSPS) Core-to-Core Program, collaborative grant to cooperate in a multi-national research effort headed at the University of Hiroshima's Department of Mathematics and entitled New Developments of Arithmetic Geometry, Motive, Galois Theory, and Their Practical Applications, Michael Mascagni, Florida State University Contact, beginning January 2008 at the Florida State University.
  2. NATO Scientific Directorate, a Collaborative Linkage Grant to link groups from FSU, the Siberian Branch of the Russian Academy of Sciences, Berlin's Weierstrass Institute for Applied Analysis and Stochastics, the Bulgarian, Rumanian and Turkmenian Academy of Sciences, entitled Numerical Prediction of the Dispersal of Contaminants in the Atmosphere and Ground, Michael Mascagni, NATO Country Coordinator, $28,000 travel support for 24 months beginning July 2005 at the Florida State University.
  3. Department of Defense, Defense University Research Instrumentation Program (DURIP) grant entitled A Laboratory for Distributed and Grid Computing, Michael Mascagni, Principal Investigator, $200,000 for equipment, one year beginning September, 2003.
  4. NATO Scientific Directorate, a Collaborative Linkage Grant to link groups from FSU, The Free University of Brussels, the Siberian Branch of the Russian Academy of Sciences, Berlin's Weierstrass Institute for Applied Analysis and Stochastics, and the Turkmenian Academy of Sciences, entitled Stochastic and Computational Models of Transport in Porous Media, Michael Mascagni, NATO Country Coordinator, $25,000 travel support for 36 months beginning July 2002 at the Florida State University.
  5. NSF International Programs, a grant entitled Cooperative Research with Austria with Dr. Peter Hellekalek's Random Number Generation (pLab) Group at the University of Salzburg, Michael Mascagni, Principal Investigator, $24,000 for four years, beginning September, 1999 at the Florida State University.
  6. NSF-NATO Postdoctoral Fellowship for Dr. Aneta Karaivanova of the Central Laboratory for Parallel Processing, Bulgarian Academy of Sciences, Michael Mascagni, host and sponsor, $44,400 for one year beginning September, 1999 at the Florida State University.
  7. Department of Energy, Office of Basic Energy Sciences Grant entitled The Impact of Random Numbers on Parallel Monte Carlo Applications, Michael Mascagni, Principal Investigator, $150,000 for three years beginning February, 1999 at the University of Southern Mississippi.
  8. Mississippi NASA Space Grant: University of Southern Mississippi Subcontract, Michael Mascagni, Principal Investigator, $37,250 per year for 1997-1999 at the University of Southern Mississippi.
  9. Consiglio Nazionale delle Ricerche Program for Italian and Foreign Research Institutions: Short-term Mobility Fellowships; Michael Mascagni with sponsorship of Renato Spigler, Dipartimento di Matematica, Unversità di Lecce, Italy.  Travel expenses, lodging expenses, and Lit. 2,400,000, March, 1994.

Research Contracts:

  1. Army Research Office, Mathematical and Computer Sciences Division, Computational Mathematics proposal entitled Scrambled Quasirandom Numbers and Applications, Michael Mascagni, Principal Investigator, $80,000, support for 2.5 years beginning October 1, 2006 at the Florida State University.
  2. Army Research Office, Mathematical and Computer Sciences Division,  proposal entitled Support for the Fifth IMACS Seminar on Monte Carlo Methods, Michael Mascagni, Principal Investigator, $10,000 travel support for the Fifth IMACS Seminar on Monte Carlo Methods, May 16-20, 2005, at the Florida State University.
  3. Lawrence Livermore National Laboratory/University of California, Research Contract entitled Support for the Fifth IMACS Seminar on Monte Carlo Methods, Michael Mascagni, Principal Investigator, $10,000 support for 1 year beginning April 1, 2005 at Florida State University.
  4. Los Alamos National Laboratory/University of California, Research Contract entitled Improved Methods for Random Number Generation, Michael Mascagni, Principal Investigator, $70,000 support for 1 year beginning October 1, 2003 at Florida State University.
  5. Army Research Office, Mathematical and Computer Sciences Division, Computational Mathematics contract entitled Quasi-Monte Carlo Methods for Markov Chain Problems, Michael Mascagni, Principal Investigator, $249,000, support for 3 years beginning September 1, 2001.
  6. ASCI Level III Contract to Lawrence Livermore, Los Alamos, and Sandia National Laboratories entitled Random Number for ASCI Monte Carlo Applications, Michael Mascagni, Principal Investigator, $494,921 for four years beginning October 1, 1999 at the Florida State University.
  7. Army Research Office, Mathematical and Computer Sciences Division, Computational Mathematics Grant entitled Quasirandom Numbers for Parallel and Distributed Applications, Michael Mascagni, Principal Investigator, $487,085 for three years beginning March 1, 1999 at the University of Southern Mississippi with a $195,417 subcontract to the Florida State University.
  8. DoD High Performance Computing Modernization Office through Northrop Grumman Data Systems, entitled Northrop Grumman High Performance Computing Programming Environment and Training; Michael Mascagni, Principal Investigator, $100,000 per year for 1997-1999 at the University of Southern Mississippi.
  9. DARPA Contract Number DABT63-95-C-0123 for ITO: Scalable Systems and Software, entitled A Scalable Pseudorandom Number Generation Library for Parallel Monte Carlo Computations; Michael Mascagni and David Ceperley (Department of Physics, University of Illinois at Urbana-Champaign and the National Center for Supercomputing Applications), Principal Investigators, $607,106 for three years beginning March 1, 1995 at the University of Illinois.

Pending Research Proposals:

Declined Research Proposals:

  1. National Institutes of Health, National Institute of General Medical Sciences proposal entitled Computational Biomolecular Electrostatics: Stochastic Algorithms and Applications, Michael Mascagni and Marcia Fenley, Principal Investigators, $1,265,370 support for 4 years beginning April 1, 2008 at the Florida State University.  Person months committed: Calendar Year: 3.0, Academic Year: 1.0, Summer Period: 2.0, two months summer support.
  2. U. S. Civilian Research and Development Foundation, proposal entitled Stochastic Computational Methods for Solving Boundary-Value Problems in Biomolecular Chemical Physics Applications, Michael Mascagni, U. S. Team Leader, $68,400 ($11,400 local), support for 24 months beginning October 1, 2006 at the Florida State University.
  3. U. S. Civilian Research and Development Foundation, proposal entitled Stochastic Computational Methods for Solving Boundary Value Problems in Biomolecular Chemistry Applications, Michael Mascagni, U. S. Team Leader, $59,550 ($11,110 local), support for 19 months beginning February 1, 2005 at the Florida State University.
  4. NSF/CISE Information Technology Research (ITR) Program proposal entitled Development of a Multi-Purpose Tera to Peta Scale Collaborative Computing Facility, Michael Mascagni, Co-Principal Investigator, $2,370,000 support for 5 years beginning October 1, 2004 at the Florida State University.
  5. NIH, NIH Small Grant Program proposal entitled Accelerated Rosetta, Michael Mascagni, Co-Principal Investigator, $50,000 support for 12 months beginning on January 1, 2005, at North Carolina A&T University.
  6. NSF/CISE, CISE Research Infrastructure Program proposal entitled Equipment for a Networking Environment Supporting Security in the Extreme,  Michael Mascagni, Senior Personnel, $1,004,737 support for 60 months beginning June 1, 2004.
  7. NSF Major Research Instrumentation Program entitled Development of a Multi-purpose Tera to Peta Scale Computational Facility at FSU, Michael Mascagni, Senior Personnel,  $1,540,000 support for 24 months beginning September 1, 2003.
  8. Collaboration in Basic Science and Engineering Grant from the National Research Council for collaboration with the Bulgarian Academy of Sciences entitled Deterministic Construction of Markov Chains for Enhanced Convergence: Application to Integral Equations and Their Complexity, Michael Mascagni, Principal Investigator, $8,200 travel support for 12 months.
  9. NSF/CISE Research Resources grant entitled Heterogeneous Distributed-Computing Test-Bed for Stochastic Computations, Ashok Srinivasan and Michael Mascagni Co-Principal Investigators, $148,320 for equipment.
  10. NSF Information Technology Research, a grant entitled Quasirandom Number Generation Software, Michael Mascagni, Principal Investigator, $496,751 support for 36 months.
  11. NSF Engineering Directorate, a grant entitled Advanced Algorithms and Visualization for Computational Design and Analysis of Transport Properties of Two-phase Materials, Michael Mascagni, Co-Principal Investigator, $149,480 support for 18 months.

Teaching and Training

Courses Taught:

  1. CIS 8966: Masters Comprehensive Exam, Spring 2009, Florida State University, Department of Computer Science, 1 graduate students, 0 credits.
  2. CIS 5970: Masters Thesis, Fall 2009, Florida State University, Department of Computer Science, 1 graduate student, 3 credits.
  3. CIS 5930: Random Number Generation, Fall 2009, Florida State University, Department of Computer Science, 14 graduate students, 3 credits.
  4. CIS 5930: Random Number Generation (DIS), Fall 2009, Florida State University, Department of Computer Science, 1 graduate student, 3 credits.
  5. CIS 5900: Random Number Techniques, Fall 2009, Florida State University, Department of Computer Science, 1 graduate student, 3 credits.
  6. CIS 5900: Computer Science Infrastructure, Fall 2009, Florida State University, Department of Computer Science, 1 graduate student, 3 credits.
  7. CGS 5427: Algorithm Design and Analysis, Fall 2009, Florida State University, Department of Computer Science, 3 graduate students, 3 credits.
  8. COP 4531: Complexity and Analysis of Algorithms and Data Structures, Fall 2009, Florida State University, Department of Computer Science, 13 undergraduate students, 3 credits.
  9. CIS 5930: Monte Carlo Methods, Summer Session B 2009, Florida State University, Department of Computer Science, 6 graduate students, 3 credits.
  10. MAP 5932: Monte Carlo Methods, Summer Session B 2009, Florida State University, Department of Mathematics, 8 graduate students, 3 credits.
  11. CIS 3943: Computer Science Internship I, Summer Session A 2009, Florida State University, Department of Computer Science, 1 undergraduate students, 3 credits.
  12. CIS 8976: Masters Thesis Defense, Spring 2009, Florida State University, Department of Computer Science, 1 graduate students, 0 credits.
  13. CIS 5970: Masters Thesis, Spring 2009, Florida State University, Department of Computer Science, 1 graduate student, 3 credits.
  14. CIS 5900: Design of Algorithms, Spring 2009, Florida State University, Department of Computer Science, 1 graduate student, 3 credits.
  15. COT 5507: Analytic Methods for Computer Science, Spring 2009, Florida State University, Department of Computer Science, 17 graduate students,  3 credits.
  16. CGS 5427: Algorithm Design and Analysis, Spring 2009, Florida State University, Department of Computer Science, 5 graduate students, 3 credits.
  17. COP 4531: Complexity and Analysis of Algorithms and Data Structures, Spring 2009, Florida State University, Department of Computer Science, 23 undergraduate students, 3 credits.
  18. CIS 5970: Masters Thesis, Fall 2008, Florida State University, Department of Computer Science, 1 graduate student, 3 credits.
  19. CIS 5900: Category Theory, Fall 2008, Florida State University, Department of Computer Science, 1 graduate student, 3 credits.
  20. CIS 5900: Computational Methods, Fall 2008, Florida State University, Department of Computer Science, 1 graduate student, 3 credits.
  21. CIS 5900: Programming Structure, Fall 2008, Florida State University, Department of Computer Science, 1 graduate student, 1 credit.
  22. CGS 5429: Introduction to Computer Theory, Fall 2008, Florida State University, Department of Computer Science, 12 graduate students, 3 credits.
  23. COT 4420: Theory of Computation, Fall 2008, Florida State University, Department of Computer Science, 20 undergraduate students, 3 credits.
  24. CIS 5970: Masters Thesis, Summer 2008, Florida State University, Department of Computer Science, 1 graduate student, 3 credits.
  25. CIS 5930: Random Number Generation, Summer 2008, Florida State University, Department of Computer Science, 6 graduate students, 3 credits.
  26. CIS 5915: Graduate Software Project, Summer 2008, Florida State University, Department of Computer Science, 1 graduate student, 3 credits.
  27. MAD 5932: Random Number Generation, Summer 2008, Florida State University, Department of Computer Science, 2 graduate students, 3 credits.
  28. CIS 4930: Random Number Generation, Summer 2008, Florida State University, Department of Computer Science, 1 undergraduate student, 3 credits.
  29. CIS 6900: Geometrical Problems in Monte Carlo, Spring 2008, Florida State University, Department of Computer Science, 1 graduate student, 3 credits.
  30. CIS 5970: Masters Thesis, Spring 2008, Florida State University, Department of Computer Science, 1 graduate student, 3 credits.
  31. CIS 5915: Graduate Software Project, Spring 2008, Florida State University, Department of Computer Science, 1 graduate student, 3 credits.
  32. COT 5507: Analytic Methods for Computer Science, Spring 2008, Florida State University, Department of Computer Science, 21 graduate students,  3 credits.
  33. CIS 8974: MS Projects Defense, Fall 2007, Florida State University, Department of Computer Science, 1 graduate student, 0 credits.
  34. CIS 5915: Graduate Software Project, Fall 2007, Florida State University, Department of Computer Science, 1 graduate student, 3 credits.
  35. MAD 5932: Monte Carlo Methods, Fall 2007, Florida State University, Department of Mathematics, 9 graduate students, 3 credits.
  36. CIS 5930: Monte Carlo Methods, Fall 2007, Florida State University, Department of Computer Science, 6 graduate students, 3 credits.
  37. CGS 5429: Introduction to Computer Theory, Fall 2007, Florida State University, Department of Computer Science, 10 graduate students, 3 credits.
  38. COT 4420: Theory of Computation, Fall 2007, Florida State University, Department of Computer Science, 26 undergraduate students, 3 credits.
  39. CIS 5970: Masters Thesis, Spring 2007, Florida State University, Department of Computer Science, 1 graduate student, 3 credits.
  40. CIS 5900: Biochemical Monte Carlo Methods (Directed Individual Study), Spring 2007, Florida State University, Department of Computer Science, 1 graduate student, 3 credits.
  41. COT 5507: Analytic Methods for Computer Science, Spring 2007, Florida State University, Department of Computer Science, 20 graduate students,  3 credits.
  42. CGS 5429: Introduction to Computer Theory, Spring 2007, Florida State University, Department of Computer Science, 2 graduate students, 3 credits.
  43. COT 4420: Theory of Computation, Spring 2007, Florida State University, Department of Computer Science, 35 undergraduate students, 3 credits.
  44. CIS 8976: Masters Thesis Defense, Fall 2006, Florida State University, Department of Computer Science, 1 graduate students, 0 credits.
  45. CIS 5970: Masters Thesis, Fall 2006, Florida State University, Department of Computer Science, 1 graduate student, 2 credits.
  46. CGS 5427: Algorithm Design and Analysis, Fall 2006, Florida State University, Department of Computer Science, 4 graduate students, 3 credits.
  47. COP 4531: Complexity and Analysis of Algorithms and Data Structures, Fall 2006, Florida State University, Department of Computer Science, 12 undergraduate students, 3 credits.
  48. Doctoral Examination, Sommersemester 2006, Eidgenössische Technische Hochschule (ETH), Departments of Mathematics and Mechanical Engineering, 1 graduate student.
  49. 401-3470-00 G: Advanced Monte Carlo Methods II, Sommersemester 2006, Eidgenössische Technische Hochschule (ETH), Department of Mathematics, Seminar for Applied Mathematics, 12 graduate students, 3 credits.
  50. 401-3469-00 G: Advanced Monte Carlo Methods I, Wintersemester 2005-6, Eidgenössische Technische Hochschule (ETH), Department of Mathematics, Seminar for Applied Mathematics, 12 graduate students, 3 credits.
  51. CIS 5970: Masters Thesis, Spring 2006, Florida State University, Department of Computer Science, 1 graduate student, 2 credits.
  52. CIS 5970: Masters Thesis, Fall 2005, Florida State University, Department of Computer Science, 1 graduate student, 2 credits.
  53. CIS 5900: Monte Carlo Methods for Partial Differential Equations, Summer 2005, Florida State University, Department of Computer Science, 1 graduate student, 2 credits.
  54. COT 5507: Analytic Methods for Computer Science, Summer 2005, Florida State University, Department of Computer Science, 8 graduate students,  3 credits.
  55. CIS 5970: Masters Thesis, Summer 2005, Florida State University, Department of Computer Science, 1 graduate student, 2 credits.
  56. COP 4531: Complexity and Analysis of Algorithms and Data Structures, Spring 2005, Florida State University, Department of Computer Science, 41 undergraduate students, 3 credits.
  57. CGS 5427: Algorithm Design and Analysis, Spring 2004, Florida State University, Department of Computer Science, 3 graduate students, 3 credits.
  58. CIS 5970: Masters Thesis, Spring 2005, Florida State University, Department of Computer Science, 2 graduate students, 3 credits.
  59. CIS 4933: Honors Work, Fall 2004, Florida State University, Department of Computer Science, 1 undergraduate student, 3 credits.
  60. COT 5507: Analytic Methods for Computer Science, Fall 2004, Florida State University, Department of Computer Science, 16 graduate students, 2 undergraduate students, 3 credits.
  61. CIS 4933: Honors Work, Summer 2004, Florida State University, Department of Computer Science, 1 undergraduate student, 3 credits.
  62. CIS 5900: Monte Carlo Methods in Computer Science, Summer 2004, Florida State University, Department of Computer Science, 1 graduate student, 4 credits.
  63. CIS 5970: Masters Thesis, Spring 2004, Florida State University, Department of Computer Science, 2 graduate students, 5/3 credits.
  64. CIS 6980: Doctoral Dissertation, Spring 2004, Florida State University, Department of Computer Science, 1 graduate students, 2 credits.
  65. CIS 8976: Masters Thesis Defense, Spring 2004, Florida State University, Department of Computer Science, 2 graduate students, 0 credits.
  66. COP 4531: Complexity and Analysis of Algorithms and Data Structures, Spring 2004, Florida State University, Department of Computer Science, 74 undergraduate students, 3 credits.
  67. CGS 5427: Algorithm Design and Analysis, Spring 2004, Florida State University, Department of Computer Science, 2 graduate students, 3 credits.
  68. CIS 6980: Doctoral Dissertation, Spring 2004, Florida State University, Department of Computer Science, 1 graduate student, 9 credits.
  69. CIS 8985: Doctoral Dissertation Defense, Spring 2004, Florida State University, Department of Computer Science, 1 graduate student, 0 credits.
  70. CIS 5930: Analytic Methods for Computer Science, Fall 2003, Florida State University, Department of Computer Science, 5 graduate students, 3 credits.
  71. CIS 5970: Masters Thesis, Fall 2003, Florida State University, Department of Computer Science, 2 graduate students, 3/2 credits.
  72. CIS 6980: Doctoral Dissertation, Fall 2003, Florida State University, Department of Computer Science, 1 graduate student, 9 credits.
  73. CIS 8976: Masters Thesis Defense, Fall 2003, Florida State University, Department of Computer Science, 1 graduate student, 0 credits.
  74. CIS 8985: Doctoral Dissertation Defense, Summer 2003, Florida State University, Department of Computer Science, 1 graduate student, 0 credits.
  75. CIS 6980: Doctoral Dissertation, Summer 2003, Florida State University, Department of Computer Science, 2 graduate students, 9/1 credits.
  76. CIS 5970: Masters Thesis, Summer 2003, Florida State University, Department of Computer Science, 1 graduate student, 3 credits.
  77. MAT 6908: Particle Methods, Summer 2003, Florida State University, Department of Computer Science, 1 graduate student, 5 credits.
  78. COP 4531: Complexity and Analysis of Algorithms and Data Structures, Spring 2003, Florida State University, Department of Computer Science, 68 undergraduate students, 3 credits.
  79. COP 4531: Complexity and Analysis of Algorithms and Data Structures, Spring 2003, Florida State University, Department of Computer Science, 9 distance undergraduate students, 3 credits.
  80. CGS 5427: Algorithm Design and Analysis, Spring 2003, Florida State University, Department of Computer Science, 4 graduate students, 3 credits.
  81. CIS 5940: Supervised Teaching, Spring 2003, Florida State University, Department of Computer Science, 1 graduate student, 3 credits.
  82. CIS 5970: Masters Thesis, Spring 2003, Florida State University, Department of Computer Science, 2 graduate students, 6/1 credits.
  83. CIS 6900: Scrambled Quasirandom Number Generation, Spring 2003, Florida State University, Department of Computer Science, 1 graduate student, 9 credits.
  84. CIS 6980: Doctoral Dissertation, Spring 2003, Florida State University, Department of Computer Science, 1 graduate student, 6 credits.
  85. CIS 8976: Masters Thesis Defense, Spring 2003, Florida State University, Department of Computer Science, 2 graduate students, 0 credits.
  86. Concentrated Special Topics Course (14 hours in one week): Monte Carlo Methods for Partial Differential and Integral Equations, Universität Kaiserslautern, Institut für Techno- und Wirtschaftsmathematik (ITWM), Kaiserslautern, Germany, 20 graduate students.
  87. CIS 5930: Analytic Methods for Computer Science, Fall 2002, Florida State University, Department of Computer Science, 10 graduate students, 3 credits.
  88. CIS 6900: Scrambled Quasirandom Number Generation, Fall 2002, Florida State University, Department of Computer Science, 1 graduate student, 8 credits.
  89. CIS 6980: Doctoral Dissertation, Fall 2002, Florida State University, Department of Computer Science, 1 graduate student, 6 credits.
  90. 880500: Concrete Mathematics (Numerische Mathematik), Sommersemester 2002, Universität Salzburg, Institut für Scientific Computing, Salzburg, Austria, 6 undergraduate students.
  91. 880417: Special Topics in Scientific Computing-Monte-Carlo Methods for Applied Computer Science (Ausgewählte Kapitel aus Scientific Computing), Sommersemester 2002, Universität Salzburg, Institut für Scientific Computing, Salzburg, Austria, 3 graduate students.
  92. CIS 4900: Research in Random Numbers, Spring 2002, Florida State University, Department of Computer Science, 1 undergraduate student.
  93. CIS 4933: Honors Work, Spring 2002, Florida State University, Department of Computer Science, 1 undergraduate student.
  94. CIS 5900: Particle Methods, Spring 2002, Florida State University, Department of Computer Science, 1 graduate student.
  95. CIS 5970: Masters Thesis, Spring 2002, Florida State University, Department of Computer Science, 1 graduate student.
  96. CIS 6900: Scrambled Quasirandom Number Generation, Spring 2002, Florida State University, Department of Computer Science, 1 graduate student.
  97. CIS 6980: Doctoral Dissertation, Spring 2002, Florida State University, Department of Computer Science, 1 graduate student.
  98. CIS 8976: Masters Thesis Defense, Spring 2002, Florida State University, Department of Computer Science, 1 graduate student.
  99. COP 4531: Complexity and Analysis of Algorithms and Data Structures, Fall 2001, Florida State University, Department of Computer Science, 5 undergraduate students, 3 credits.
  100. COP 4531: Complexity and Analysis of Algorithms and Data Structures, Fall 2001, Florida State University, Department of Computer Science, 5 distance undergraduate students, 3 credits.
  101. CGS 5427: Algorithm Design and Analysis, Fall 2001, Florida State University, Department of Computer Science, 10 graduate students 3 credits..
  102. CIS 5900: Random Techniques in Computer Science, Fall 2001, Florida State University, Department of Computer Science, 4 graduate students.
  103. CIS 5970: Thesis, Fall 2001, Florida State University, Department of Computer Science, 1 graduate student.
  104. CIS 6900: Scrambling Quasirandom Numbers, Fall 2001, Florida State University, Department of Computer Science, 1 graduate student.
  105. CIS 6900: Random Techniques in Computer Science, Fall 2001, Florida State University, Department of Computer Science, 1 graduate student.
  106. CIS 8966: Masters Comprehensive Examination, Summer 2001, Florida State University, Department of Computer Science, 1 graduate student.
  107. CIS 6980: Doctoral Dissertation, Summer 2001, Florida State University, Department of Computer Science, 1 graduate student.
  108. CIS 6900: Random Number Research, Summer 2001, Florida State University, Department of Computer Science, 3 graduate students.
  109. CIS 5970: Masters These, Summer 2001, Florida State University, Department of Computer Science, 1 graduate student.
  110. CIS 5915: Graduate Software Project, Summer 2001, Florida State University, Department of Computer Science, 1 graduate student.
  111. CIS 5900: Research In Random Numbers, Summer I 2001, Florida State University, Department of Computer Science, 1 graduate student.
  112. CIS 5915: Graduate Software Project, Summer I 2001, Florida State University, Department of Computer Science, 1 graduate student.
  113. COP 4531: Complexity and Analysis of Algorithms and Data Structures, Spring 2001, Florida State University, Department of Computer Science, 48 undergraduate students.
  114. COP 4531: Complexity and Analysis of Algorithms and Data Structures, Spring 2001, Florida State University, Department of Computer Science, 10 distance undergraduate students.
  115. CGS 5427: Algorithm Design and Analysis, Spring 2001, Florida State University, Department of Computer Science, 7 graduate students.
  116. CIS 4900: Research In Random Numbers, Spring 2001, Florida State University, Department of Computer Science, 1 undergraduate student.
  117. CIS 4933: Honors Work, Spring 2001, Florida State University, Department of Computer Science, 1 undergraduate student.
  118. CIS 5900: Research In Random Numbers, Spring 2001, Florida State University, Department of Computer Science, 4 graduate students.
  119. CIS 5915: Graduate Software Project, Spring 2001, Florida State University, Department of Computer Science, 2 graduate students.
  120. CIS 6900: SETI@home Research, Spring 2001, Florida State University, Department of Computer Science, 1 graduate student.
  121. CIS 8964: Preliminary Doctoral Examination, Spring 2001, Florida State University, Department of Computer Science, 1 graduate student.
  122. CIS 8966: Masters Comprehensive Examination, Spring 2001, Florida State University, Department of Computer Science, 1 graduate student.
  123. CIS 4933: Honors Work, Fall 2000, Florida State University, Department of Computer Science, 1 undergraduate student.
  124. CIS 5915: Graduate Software Research, Fall 2000, Florida State University, Department of Computer Science, 1 graduate student.
  125. CIS 5970: Thesis, CIS 4933: Honors Work, Fall 2000, Florida State University, Department of Computer Science, 1 graduate student.
  126. CIS 5915: Graduate Software Research, Summer 2000, Florida State University, Department of Computer Science, 1 graduate student.
  127. CIS 5970: Thesis, Summer 2000, Florida State University, Department of Computer Science, 2 graduate students.
  128. CIS 6900: Computing Set Uniformity, Summer 2000, Florida State University, Department of Computer Science, 1 graduate student.
  129. CIS 8966: Masters Comprehensive Examination, Summer 2000, Florida State University, Department of Computer Science, 1 graduate student.
  130. CIS 8976: Masters Thesis Defense, Summer 2000, Florida State University, Department of Computer Science, 1 graduate student.
  131. CIS 4900: Analysis of Algorithms, Fall 2000, Florida State University, Department of Computer Science, 1 undergraduate student.
  132. CIS 5910: Supervised Research, Fall 2000, Florida State University, Department of Computer Science, 1 graduate student.
  133. CIS 5915: Graduate Software Project, Fall 2000, Florida State University, Department of Computer Science, 1 graduate student.
  134. CIS 6900: Monte Carlo and Financial Computing Research, Fall 2000, Florida State University, Department of Computer Science, 1 graduate student.
  135. CGS 5427: Algorithm Design and Analysis, Fall, 1999, Florida State University, Department of Computer Science, 20 graduate students.
  136. COP 4530: Analysis of Algorithms, Fall, 1999, Florida State University, Department of Computer Science, 72 undergraduate students.
  137. CIS 4900: Random Number Research, Fall, 1999, Florida State University, Department of Computer Science, 1 undergraduate student.
  138. CIS 5910: Supervised Research, Fall, 1999, Florida State University, Department of Computer Science, 2 graduate students.
  139. SC 781: Special Topics in Monte Carlo Methods, Spring 1998, University of Southern Mississippi, Doctoral Program in Scientific Computing: 8 graduate students.
  140. MAT 167: Calculus I with Analytical Geometry: Spring 1997, University of Southern Mississippi, Department of Mathematics, 32 undergraduate students.
  141. COSC 173: Discrete Structures: Fall 1994, Georgetown University, Department of Computer Science, 25 undergraduate students.
  142. Methods in Computational Neuroscience: Summer 1989, 1990, 1991, 1992: Marine Biological Laboratory, Woods Hole, MA, 30 graduate students and postdoctoral associates per year.
  143. V22.0421: Introduction to Numerical Analysis: Spring 1986, Spring 1987, Courant Institute of Mathematical Sciences, New York University, Department of Computer Science, total of 53 undergraduate students.

Graduate Student Committee Memberships:

  1. Haohai Yu, Florida State University, Department of Computer Science, Doctoral Committee Member (Current), dissertation title TBD.
  2. Alexander Silalahi, Florida State University, Department of Physics, Doctoral Committee Member (Current), dissertation title TBD.
  3. Robert Harris, Florida State University, Department of Physics, Doctoral Committee Member (Current), dissertation title TBD.
  4. Joe Rhoads, Florida State University, Department of Mathematics, Doctoral Committee Member (Current), dissertation title TBD.
  5. James McClain, Florida State University, Department of Computer Science, Doctoral Committee Member (Current), dissertation title TBD.
  6. Yuhua Zhu, Florida State University, Department of Computer Science, Doctoral Committee Member (Current), dissertation title TBD.
  7. Samidh Chatterjee, Department of Computer Science, Doctoral Committee Member (Current), dissertation title TBD.
  8. F. Steven Brailsford, Florida State University, Department of Computer Science, Masters Committee Chair (Current),  thesis title TBD.
  9. Subhajit Datta, Florida State University, Department of Computer Science, Doctoral Committee Member, March 2009, dissertation title Metrics and Techniques to Guide Software Development.
  10. Ali Tarhini, Université de Joseph Fourier, Grenoble, France, Laboratoire Jean Kuntzmann de Mathématique Appliquées et Informatique, June, 2008,  Doctoral Committee Member, dissertation entitled: Numerical Analysis of Quasi-Monte Carlo Methods and Applications to Coagulation Problems.
  11. Quoc M. Doan, Florida State University, Department of Physics, Doctoral Committee Member April 2007, dissertation entitled: Study of Nematic Phase of a Quantum Two-Dimensional Electron System.
  12. Alexei Bazavov, Florida State University, Department of Physics, Doctoral Committee Member, August 2007, dissertation entitled: The Deconfining Phase Transition in and off Equilibrium.
  13. Niraj Pandey, Florida State University, Department of Computer Science, Masters Committee Chair August, 2008, Masters Committee Chair, project entitled: Implementation of Leap Ahead Functions for Linear Congruential and Lagged Fibonacci Generators.
  14. Jane Ren, Florida State University, Department of Computer Science, December, 2006, Masters Committee Chair, thesis entitled: Design and Implementation of the Scalable Parallel Random Number Generators Library 4.0.
  15. Tim Pillards, Katholieke Universiteit Leuven (Catholic University of Leuven), Leuven, Belgium, Department of Computer Science, Faculty of Engineering, October, 2006,  Doctoral Committee Member, dissertation entitled: Quasi-Monte Carlo Integration Over a Simplex in the Entire Space.
  16. Goce Jakimoski, Florida State University, Department of Computer Science, April, 2006, Doctoral Committee Member, dissertation entitled: Primitives and Schemes for Non-Atomics Information Authentication.
  17. Hongmei Chi, Florida State University, Department of Computer Science, August 2004, Doctoral Committee Chair, dissertation entitled: Scrambled Quasirandom Sequences and Their Applications.
  18. Tri Le-Van, Florida State University, Department of Computer Science, April 2004, Doctoral Committee Member, dissertation entitled: Information Hiding.
  19. Yaohang Li, Florida State University, Department of Computer Science, August 2003, Doctoral Committee Chair, dissertation entitled: Grid-based Monte Carlo Applications.
  20. Han-Ku Lee, Florida State University, Department of Computer Science, August 2003, Doctoral Committee Member, dissertation entitled: Efficient Compilation of the HPJava Language for Parallel Computing.
  21. Thomas Asbury, Florida State University, Molecular Biophysics Program, Doctoral Committee Member, 2003-2005, dissertation entitled: Computational Methods in Atomic Structure Determination of Membrane Proteins.
  22. Vikram Aggarwal, Florida State University, Department of Computer Science, August 2004, Masters Committee Member, thesis entitled: Stochastic Methods in Linear Algebra.
  23. Jason Parker,  Florida State University, Department of Computer Science, December 2003, Masters Committee Chair, thesis entitled: Extensions and Optimizations to the Scalable, Parallel Random Number Generators Library.
  24. Nikhil R. Bandodkar, Florida State University, Department of Computer Science, Masters Committee Member.
  25. Wenchang Yan, Florida State University, Department of Computer Science, December 2001, Masters Committee Chair, project entitled: An Online Random Number Testing Engine with CORBA.
  26. Prative Chend Balasubramanian,  Florida State University, Department of Computer Science, August 2001, Masters Committee Chair, project entitled: Inversive Congruential Generators for SPRNG.
  27. Yaohang Li, Florida State University, Department of Computer Science, August 2000, Masters Committee Chair, thesis entitled: The Computational Measure of Uniformity.
  28. John Mayer, University of Southern Mississippi Doctoral Program in Scientific Computing, August 2000, Doctoral Committee Member.
  29. Hongbo (Mike) Zhou, University of Southern Mississippi Doctoral Program in Scientific Computing, December 2000 Doctoral Committee Chair, dissertation entitled, A Scientific Computing GUI Agent for Parallel Monte Carlo in a Distributed Environment.
  30. Chi-Ok Hwang, University of Southern Mississippi Doctoral Program in Scientific Computing, August 1999, Doctoral Committee Chair, dissertation entitled: New First Passage Algorithms with Applications to Permeability Calculations
  31. Alice Qiao, University of Southern Mississippi Doctoral Program in Scientific Computing, August 1999, Doctoral Committee Member, dissertation entitled: Modally Optimized Dynamic Explicit Nonlinear Finite Difference Scheme: MODEN FDS.
  32. Chen Qu, University of Southern Mississippi, Masters Program in Mathematics, December 1997, Masters Committee Chair: non-thesis degree.

Graduate Students Graduated:

  1. F. Steven Brailsford, Florida State University, Department of Computer Science, Masters Thesis, M.S. April 2009 (Expected).
  2. Niraj Pandey, Florida State University, Department of Computer Science, Masters Project, August, 2008.
  3. Jane Ren, Florida State University, Department of Computer Science, Masters Thesis, M.S. December 2006.
  4. Hongmei Chi, Florida State University, Department of Computer Science, Ph.D. August 2004.
  5. Jason Parker, Florida State University, Department of Computer Science, Masters Thesis, M.S. December 2003.
  6. Yaohang Li, Florida State University, Department of Computer Science, Ph.D. August 2003.
  7. Wenchang Yan, Florida State University, Department of Computer Science, Masters Project, M.S. December 2001.
  8. Prative Chend Balasubramanian, Florida State University, Department of Computer Science, Masters Project, M.S. August 2001.
  9. Hongbo (Mike) Zhou, University of Southern Mississippi Doctoral Program in Scientific Computing, Ph.D., December 2000.
  10. Yaohang Li, Florida State University, Department of Computer Science, Masters Thesis, M.S. August 2000.
  11. Chi-Ok Hwang, University of Southern Mississippi Doctoral Program in Scientific Computing, Ph.D. August 1999.

Undergraduate Research Students Supervised:

  1. Charles Mason, Florida State University, Department of Computer Science, 2004-2005.
  2. Jane Ren, Florida State University, Department of Computer Science, 2004-2005.
  3. Shyam Lakshmin, Florida State University, Department of Computer Science, 1999-2001.
  4. Anna Suen, Florida State University, Department of Computer Science, 2000-2001.
  5. Jason Parker, Florida State University, Department of Computer Science, 1999-2000.

Undergraduate Honors Students Supervised:

  1. Jane Ren, Florida State University, Department of Computer Science, graduated with Honors, December 2004.

Distance Learning Development Work:

I developed the distance learning version of COP 4531 for the Department of Computer Science and the Office of Distributed and Distance Learning at the Florida State University.  This course was taught in the new Computer Science curriculum by me in for the first time in Spring of 2001 to 10 distance students, and was offered again, by me, in Fall 2001.

Service

University Committees:

  1. Associate Chair for Graduate Studies, Florida State University, Department of Computer Science, 2008-present.
  2. Chair, Graduate Curriculum Committee, Florida State University, Department of Computer Science, 2008-present.
  3. SMALCS Departmental Representative, Florida State University, Department of Computer Science, 2008-present.
  4. Reviewer, Council on Faculty Research Support (COFRS), 2009.
  5. Promotion and Tenure Representative to the University, Florida State University, Department of Computer Science, 2004-2005
  6. Promotion and Tenure Representative to the College of Arts and Sciences, Florida State University, Department of Computer Science, 2004-2005.
  7. Promotion and Tenure Representative to the Science Area for the College of Arts and Sciences, Florida State University, Department of Computer Science, 2004-2005.
  8. Member, Chair Selection Advisory Committee, Florida State University, Department of Computer Science, 2007-present.
  9. SACS/SMALCS Departmental Representative, Florida State University, Department of Computer Science, 2006-2008.
  10. Member, Portfolio Committee, Florida State University, Department of Computer Science, 2005-present.
  11. External Member, Mathematics Department Chair Selection Committee, Florida State University, College of Arts and Sciences, 2004-Present.
  12. Member Graduate Admissions and  Financial Aid Committee, Florida State University, Department of Computer Science, 2004-present.
  13. Member, Faculty Recruitment Committee, Florida State University, Department of Computer Science, 2001-present.
  14. Chair, Teaching Evaluation Committee (a advisory committee to the Faculty Evaluation Committee), Florida State University, Department of Computer Science, 2003-2005.
  15. Member, Faculty Evaluation Committee, Florida State University, Department of Computer Science, 2002-2003.
  16. Chair, Faculty Recruitment Committee, Florida State University, Department of Computer Science, 2001-2003.
  17. Member, Computational Science and Information Technology (CSIT) Educational Graduate Program Committee, Florida State University, College of Arts and Sciences, 2001-Present.
  18. External Member, Statistics Department Chair Selection Committee, Florida State University, College of Arts and Sciences, 2001-Present.
  19. Member, CSIT Computational Biology Search Committee, Florida State University, School of Computational Science and Information Technology, 2001-Present.
  20. Associate Member, Security and Assurance in Information Technology Laboratory, Florida State University, Department of Computer Science, 2000-Present.
  21. Member, CSIT Computational Biology Committee, Florida State University, School of Computational Science and Information Technology, 2001-Present.
  22. Chair, NSF/CISE Research Infrastructure Grant Committee, Florida State University, Department of Computer Science, 2000-2001.
  23. Chair, COP 4531 Course Committee, Florida State University, Department of Computer Science, 1999-Present.
  24. Member, Faculty Evaluation Committee, Florida State University, Department of Computer Science, 2000-2001.
  25. Member, Information Security Committee, Florida State University, Department of Computer Science, 2000-Present.
  26. Member, Graduate Affairs Committee, Florida State University, Department of Computer Science, 1999-2002.
  27. Member, Equipment Committee, Florida State University, Department of Computer Science, 1999-2002.
  28. Chair, COP 4530 Course Committee,  Florida State University, Department of Computer Science, 1999-2000.
  29. Member, Biological Computing Committee, Florida State University, 1999-2000.
  30. Member, Sloan Bioinformatics Proposal Curriculum Committee, Florida State University, 1999-2000.
  31. Member, School of Mathematical Sciences Council, University of Southern Mississippi, 1997-99.
  32. Library Liaison, Doctoral Program in Scientific Computing, University of Southern Mississippi, 1997-99.
  33. Chair, Qualifying  Examination Committee, Doctoral Program in Scientific Computing, University of Southern Mississippi, 1997-99.
  34. Chair, Graduate Admissions Committee, Doctoral Program in Scientific Computing, University of Southern Mississippi, 1997-99.
  35. Graduate Advisor for 12-15 students per semester, Doctoral Program in Scientific Computing, University of Southern Mississippi, 1997-99.
  36. Chair, Mathematics Department Faculty Search Committee, University of Southern Mississippi, 1997-98.
  37. External Advisory Committee Member evaluating SUNY-Brockport's Masters Program in Computational Science, 1997.

University Service:

  1. Member, Advanced Topic Exam Committee for Mr. Yongjae Cha entitled "Finding Hypergeometric Solutions of Linear Recurrence Equations," Department of Mathematics, Florida State University, 2008.
  2. Coordinator of a Florida State University Research Booth at SC07 (Annual International High-Performance Computing and Networking Meeting), School of Computational Science, Florida State University, 2007, Reno, .
  3. Coordinator of a Florida State University Research Booth at SC06 (Annual International High-Performance Computing and Networking Meeting), School of Computational Science, Florida State University, 2006, Tampa, FL.
  4. Coordinator of a Florida State University Research Booth at SC2004 (Annual International High-Performance Computing and Networking Meeting), School of Computational Science, Florida State University, 2004, Pittsburgh, PA.
  5. Organizing a National Computational Science Institute special workshop on "Monte Carlo Methods as Educational Tools," at the School of Computational Science, Summer, 2005, School of Computational Science and Information Technology, Florida State University, 2005.  This workshop will be held immediately before the 5th IMACS Seminar on Monte Carlo Methods, and will lead into an "Educational Program" for the conference, to be held at Florida State University, May 16-20, 2005.
  6. Departmental doctoral graduation representative:  hooded doctoral candidate Hongmei Chi, Department of Computer Science, Florida State University, Summer 2004.
  7. Organized and hosted a National Computational Science Institute "Second Look Workshop" at the School of Computational Science and Information Technology, Summer, 2004, School of Computational Science and Information Technology, Florida State University, 2004.
  8. Host to Russel Caflisch, seminar speaker for the 2003-2004 CSIT/MARTECH Seminar Series on Computational Materials Science, School of Computational Science and Information Technology, 2004.
  9. Host to Peter Cummings, seminar speaker for the 2003-2004 CSIT/MARTECH Seminar Series on Computational Materials Science, School of Computational Science and Information Technology, 2004.
  10. Host to Robert V. Kohn, seminar speaker for the 2003-2004 CSIT/MARTECH Seminar Series on Computational Materials Science, School of Computational Science and Information Technology, 2004.
  11. Host to Mark Stiles, seminar speaker for the 2003-2004 CSIT/MARTECH Seminar Series on Computational Materials Science, School of Computational Science and Information Technology, 2003.
  12. Host to Rajiv Kalia, seminar speaker for the 2003-2004 CSIT/MARTECH Seminar Series on Computational Materials Science, School of Computational Science and Information Technology, 2003.
  13. Organizer for the 2003-2004 CSIT/MARTECH Seminar Series on Computational Materials Science, School of Computational Science and Information Technology, 2003-2004.
  14. Florida State University Coordinator for the Falls Creek Falls Workshop on Computational Science for Oak Ridge National Laboratory's Partner Universities, 2003.
  15. Coordinator of a Florida State University Research Booth at SC2003 (Annual International High-Performance Computing and Networking Meeting), School of Computational Science and Information Technology, Florida State University, 2003, Phoenix, AZ.
  16. Departmental doctoral graduation representative:  hooded doctoral candidates Han-Ku Lee, Sangmi Lee, Yaohang Li, and Sang Boem Lim, Department of Computer Science, Florida State University, Summer 2003.
  17. Organized and hosted the National Computational Science Institute "Second Look Workshop" at the School of Computational Science and Information Technology, August 3-9, for 25 undergraduate faculty from various Southeastern Colleges and Universities, and the two instructors from the Shodor Educational Foundation, School of Computational Science and Information Technology, Florida State University, 2003.
  18. Host to Dr. Stephen L. Scott, colloquium speaker from Oak Ridge National Laboratory, Department of Computer Science, Florida State University, 2003.
  19. Trip to San Diego, CA to attend the 2003 NPACI (National Partnership for Computational Infrastructure) All Hands Meeting and to explore ways to foster cooperation between FSU and NPACI and the San Diego Supercomputer Center.
  20. Host to Dr. Duncan Buell, colloquium speaker from the University of South Carolina, Department of Computer Science, Florida State University, 2003.
  21. Host to Ms. Xiaosong Ma, faculty candidate from the University of Illinois at Urbana-Champaign, Department of Computer Science, Florida State University, 2003.
  22. Host to Mr. Ting Yu, faculty candidate from the University of Illinois at Urbana-Champaign, Department of Computer Science, Florida State University, 2003.
  23. Host to Prof. Abdujabar Rasulov, visiting Fulbright Scholar from University of World Economy and Diplomacy, Tashkent, Uzbekistan, at the School of Computational Science and Information Technology, Florida State University, 2002-2003.
  24. Coordinator of a Florida State University Research Booth at SC2002 (Annual International High-Performance Computing and Networking Meeting), School of Computational Science and Information Technology, Florida State University, 2002, Baltimore, MD.
  25. Host to Dr. Ashok Srinivasan, faculty candidate from the University of California, Santa Barbara, Department of Computer Science, Florida State University, 2001.
  26. Trip to Melbourne, FL to meet with researchers at Harris Corporation with members of the Department of Computer Science, Florida State University, 2000.
  27. Trip to Deland, FL to recruit graduate students for the Department of Computer Science, Florida State University, 1999.
  28. Trip to Bethesda, MD to recruit Dr. Mark Boguski to the Florida State University Bioinformatics External Advisors Committee, 1999.

Administration:

  1. Director of Graduate Studies, Department of Computer Science, Florida State University, 2008-Present.
  2. Coordinator, Doctoral Program in Scientific Computing, University of Southern Mississippi, 1997-1999.
  3. Director, University of Southern Mississippi's Programming Environment and Training Research activities at the Naval Oceanographic Office at Stennis Space Center, MS, 1997-1999.

Service to International Organizations:

  1. Society for Industrial and Applied Mathematics (SIAM) Visiting Lecturer, 1999-Present.
  2. Member, Board of Directors, International Association for Mathematics and Computers in Simulation (IMACS), 2005-Present.
  3. Member, Technical Committee on Monte Carlo Methods, International Association for Mathematics and Computers in Simulation (IMACS), 2005-Present.
  4. External Reviewer, New Researchers Start-up Program of Fonds québécois de la recherche sur la nature et les technologies (FQRNT), 2009, Québec, Canada.
  5. Member, International Program Committee for the International Conference on Computational Science 2010 (ICCS 2010), 2010, Amsterdam, The Netherlands.
  6. Member, International Program Committee for the 2007 International Conference on Computational Science and its Applications (ICCSA 2010), 2010, Fukuoka, Japan.
  7. Member, Educational Committee, SC09: International Conference for High Performance Computing, Networking, Storage and Analysis, 2009, Portland, OR.
  8. Member, International Program Committee for the International Conference on Computational Science 2009 (ICCS 2009), 2009, Baton Rouge, LA.
  9. Member, International Program Committee for the Sixth IMACS Seminar on Monte Carlo Methods (MCM2009), 2009, Brussels, Belgium.
  10. Member, Program Committee for International Parallel and Distributed Computing (IPDPS) 2009, Rome, Italy.
  11. Member, Program Committee for High Performance Computing 2009 (HPC 2009), which is part of the SCS Spring MultiConference, 2009, San Diego, CA.
  12. Member, International Program Committee for the 2007 International Conference on Computational Science and its Applications (ICCSA 2008), 2008, Perugia, Italy.
  13. Member, Educational Committee, SC08: International Conference for High Performance Computing, Networking, Storage and Analysis, 2008, Austin, TX.
  14. Organizer of a minisymposium entitled "Parallel Stochastic Methods in Computational Biology," at the 13th SIAM Conference on Parallel Processing for Scientific Computing (PP08), 2008, Atlanta, GA.
  15. Member, Program Committee for High Performance Computing and Simulation 2008 (HPCS 2008), which is part of the SCS Spring MultiConference, 2008, Ottawa, Ontario, Canada.
  16. Member, Program Committee for High Performance Computing and Simulation 2008 (HPCS 2008), which is part of the SCS Spring MultiConference, 2008, Ottawa, Ontario, Canada.
  17. External Reviewer, Habilitation of Dr. Sylvain Maire, Assistant Professor, Université de Toulon et du Var, Institut des Sciences de l'Ingénieur de Toulon et du Var, Modélisation Numérique et Couplages, 2007, Toulon, France.
  18. Organizer of two invited minisymposia on "Stochastic Computing and Applications," with Dr. Wesley Petersen, Eidgenössische Technische Hochschule (ETH), Zürich, Switzerland, at the Sixth International Congress on Industrial and Applied Mathematics (ICIAM 2007), 2007, Zürich, Switzerland.
  19. Organizer of an minisymposium on "Probabilistic Numerical Methods for PDEs and Stochastic PDEs," with Dr. Wesley Petersen, Eidgenössische Technische Hochschule (ETH), Zürich, Switzerland, at the Sixth International Congress on Industrial and Applied Mathematics (ICIAM 2007), 2007, Zürich, Switzerland.
  20. Member, International Program Committee for the Sixth IMACS Seminar on Monte Carlo Methods (MCM2007), 2007, Reading, United Kingdom.
  21. Member, International Program Committee for The 2007 IEEE International Symposium on Bioinformatics and Life Science Computing (BLSC07), 2007, Niagara Falls, Ontario, Canada.
  22. Member, International Program Committee for the International Conference on Computational Science 2007 (ICCS 2007), 2007, Beijing, People's Republic of China.
  23. Member, International Program Committee for the 2007 International Conference on Computational Science and its Applications (ICCSA 2007), 2007, Kuala Lumpur, Malaysia.
  24. Member, Review Panel, Förderung der wissenschaftlichen Forschung (Austrian Science Fund), Doktoralskolleg (Doctoral Program) Review, 2006, Vienna Austria.
  25. External Reviewer, Promotion Case of  Dr. Sharam Rahimi to Associate Professor, Southern Illinois University, Department of Computer Science, 2006, Carbondale, IL.
  26. External Reviewer, Promotion Case of  Dr. David R. C. Hill to Professor, Grade 2, Blaise Pascal University, Department of Computer Science, 2006, Clermont-Ferrand, France.
  27. External Reviewer, Promotion and Tenure Case of  Dr. Peter R. Kramer to Associate Professor with Tenure, Rensselaer Polytechnic Institute, Department of Mathematical Sciences, 2005, Troy, NY.
  28. Member, International Program Committee for the International Conference on Computational Science 2006 (ICCS 2006), 2005, Reading, UK.
  29. Member, National Institutes of Health Study Section Committee for Software Development and Maintenance Applications, 2005.  
  30. Member, International Program Committee for Computational Finance 2006, 2006, London, UK.
  31. Member, International Program Committee for the 2006 High Performance Computing Symposium (HPC 2006), 2006, Huntsville, AL.
  32. Member, Program Committee for The Seventh International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing (MCQMC-06), Ulm, Germany.
  33. Organizer and General Chair, Fifth IMACS Seminar on Monte Carlo Methods, 2005, Tallahassee, FL.
  34. Mail reviewer for Cooperative Grants Program of the U.S. Civilian Research and Development Foundation (CRDF),  2005.
  35. Member, Scientific Advisory Committee for the Second International Conference on Computational Finance and Its Applications 2006, Imperial College, London, UK.
  36. Organizer, Workshop entitled Parallel Monte Carlo Algorithms for Diverse Applications in a Distributed Setting, at the International Conference on Computational Science 2005 (ICCS 2005), Atlanta, GA.
  37. Member, International Program Committee for the 2005 International Conference on Computational Science and its Applications (ICCSA 2005), 2005, Singapore.
  38. Member, Program Committee for The International Workshop on High Performance Computing in Medicine and Biology (HiPCoMB-05), to be held in conjunction with The 11th Conference on Parallel and Distributed Systems (ICPADS-05), Fukuoka Institute of Technology, Japan.
  39. Member, Program Committee for The Third International Workshop on Biomedical Computations on the Grid (BioGrid'05) held in conjunction with CCGrid2005, 2005, Cardiff, Wales, UK.
  40. Member, International Program Committee for The First Open International Conference on Modeling and Simulation, 2005, Clermont-Ferrand, France.
  41. External Member, Promotion Committee of  Dr. Louise Perkins to Professor, University of Southern Mississippi, Department of Computer Science and Statistics, 2004, Hattiesburg, MS.
  42. External Member, Promotion Committee of  Dr. Marios Dikaiakos to Associate Professor with tenure, University of Cyprus, Department of Computer Science, 2004, Nicosia, Cyprus.
  43. Member, International Program Committee for the International Conference on Computational Science 2005 (ICCS 2005), 2005, Atlanta, GA.
  44. Member, International Program Committee for the 2005 High Performance Computing Symposium (HPC 2005), 2005, San Diego, CA.
  45. Organizer, Minsyposium entitled Monte Carlo Computations in Biology and Materials Science , at the 2005 Society for Industrial and Applied Mathematics Computational Science and Engineering Conference, Orlando, FL.
  46. External peer reviewer for Dr. Marcin Paprzycki's promotion to Associate Professor, Department of Computer Science, Oklahoma State University, 2003, Stillwater, OK.
  47. Member, Program Committee for the Second International Workshop on Biomedical Computations on the Grid (BioGrid'04) held in conjunction with CCGrid2004, 2004, Chicago, Illinois.
  48. Mail reviewer for Cooperative Grants Program of the U.S. Civilian Research and Development Foundation (CRDF), October, 2003.
  49. Member, International Program Committee for the 2004 International Conference on Computational Science and its Applications (ICCSA 2004), 2004, Santa Maria degli Angeli of Assisi (Perugia), Italy.
  50. Member, International Program Committee for 2004 International Conference on Computational Science (ICCS 2004), 2004, Kraków, Poland.
  51. Organizer of a minisymposium on "Fault Tolerant High-Performance Computing," with Dr. Ashok Srinivasan of the Department of Computer Science at Florida State University at the Eleventh Conference on Parallel Processing for Scientific Computing, 2004, San Francisco, CA.
  52. External peer reviewer for Dr. Olivier Smidts' tenure case for the Fonds National de la Recherche Scientifique, Université Libre de Bruxelles, Service de Métrologie Nucléaire, Brussels, Belgium, 2002.
  53. Organizer of three invited minisymposia on "Stochastic Computing and Applications," with Dr. Wesley Petersen, Eidgenössische Technische Hochschule (ETH), Zürich, Switzerland, at the Fifth International Congress on Industrial and Applied Mathematics (ICIAM 2003), 2003, Sydney, Australia.
  54. Member, International Program Committee for 2003 International Conference on Computational Science (ICCS 2003), 2003, St. Petersburg, Russia/Melbourne, Australia.
  55. Member, Program Committee for the First International Workshop on Biomedical Computations on the Grid (BioGrod'03) held in conjunction with CCGrid2003, 2003, Tokyo, Japan.
  56. Member, International Program Committee for the Fourth IMACS Seminar on Monte Carlo Methods, 2003, Berlin, Germany.
  57. Member, Organizing Committee for the Fourth IMACS Seminar on Monte Carlo Methods, 2003, Berlin, Germany.
  58. Member, Organizing Committee for the Forth International Conference on Large Scale Scientific Computation (ICLSSC-2003), 2003, Sozopol, Bulgaria.
  59. Member, Program Committee for the 2003 International Conference on Computational Science and Its Applications (ICCSA 2003), 2003, Montreal, Canada.
  60. Member, International Program Committee for 2002 International Conference on Computational Science (ICCS 2002), 2002, Amsterdam, Netherlands.
  61. Member, International Program Committee for the Fifth International Conference on Numerical Methods and Applications, 2002, Borovets, Bulgaria.
  62. Panelist for NSF, Information Technology Research, April 2001, Arlington, VA.
  63. Mail reviewer for the State of Kansas EPSCoR Defense Program, June, 2000.
  64. Mail reviewer for NSF, Division of Mathematical Sciences, June 2000.
  65. Member, International Program Committee for the Second IMACS Seminar on Monte Carlo Methods, June, 1999, Varna, Bulgaria.
  66. Member, Organizing Committee for the First Southern Symposium on Computing, December, 1998, Hattiesburg, MS.
  67. Panelist for NSF, CISE/CCR, December 1998, Arlington, VA.
  68. Chairman, Organizing Committee Chair for a Programming Environment and Training Workshop entitled "High-Performance Monte Carlo Tools'', April 23-24, 1998, Stennis Space Center, MS.
  69. Member, Organizing Committee Member for the Seventh SIAM Conference on Parallel Processing for Scientific Computing, March, 1995, San Francisco, CA.

Service to Industry and Government:

  1. Consultant, The Florida Lottery, Tallahassee, FL, 2007-Present.
  2. Consultant, The Mathworks (producers of Matlab), Natick, MA, 2007-Present.
  3. Consultant, Züricher Kantonalbank (ZKB), Zürich, Switzerland, 2005-Present.
  4. Consultant, Oak Ridge National Laboratory, Computer Science and Mathematics Division, Oak Ridge, TN, 2003-Present.
  5. Member, Scientific Advisory Board, PDH International Incorporated, Hallandale, FL, 2002-Present.
  6. Consultant, PDH International Incorporated, Hallandale, FL, 2001-Present.
  7. Consultant, Bettis Laboratory, West Mifflin, PA, 1999-Present.
  8. Consultant, Arthur. D. Little, Cambridge, MA, 1999.
  9. Consultant, Commander, Naval Meteorology and Oceanography Command, Stennis Space Center, MS, 1997-1999.

Security Clearances Held:

  1. Department of Energy L Clearance, 2000-Present.
  2. Department of Energy Q Clearance, 1999.
  3. Department of Defense Top Secret Clearance, 1990-1996, 1997-1999.

Service to Local Organizations:

  1. President, Board of Directors, Big Bend Community Orchestra, Tallahassee, FL, 2009-Present.
  2. Member, Board of Directors, The Artist Series, Tallahassee, FL, 2009-Present.
  3. Member, Orchestra Committee, First Violin Section, Big Bend Community Orchestra, Tallahassee, FL, 2001-Present.
  4. Member, Troop Committee, Boy Scout Troop 118, Tallahassee, Florida, 2002-Present.
  5. Member Messiah Accompaniment Orchestra, First Violin Section, Tallahassee, FL, 1999-Present.
  6. Member, Troop Committee, Boy Scout Troop 684, Zürich, Switzerland, 2005-2006.
  7. Member, Tenor Section, Lehrergesangverein Zürich (www.lgz-zh.ch), Zürich, Switzerland, 2005-2006.
  8. Member, First Violin Section, Orchesterverein Zürich (www.ovz.ch), Zürich, Switzerland, 2005-2006.
  9. Member, First Violin Section, Neumunster Orchester Zürich, Zürich, Switzerland, 2006.
  10. Concertmaster, Big Bend Community Orchestra, Tallahassee, FL, 2000-2004, 2006-Present.
  11. Concertmaster,  Immanuel Baptist Church, Tallahassee, FL, Easter 2007.
  12. Member 20th Century Krewe, Springtime Tallahassee, Tallahassee, FL, 2000-2005.
  13. Assistant Chair, Popcorn Committee, Boy Scout Troop 118, Tallahassee, Florida, 2004-2005.
  14. Member, Pit Orchestra for Rodger's and Hammerstein's Carousel, Brookwood School, Thomasville, Georgia, 2003.
  15. Member, Universitätsorchester Salzburg (University of Salzburg Orchestra), Salzburg, Austria, Sommersemester 2002.
  16. Advancement Chairman, Cub Scout Pack 114, Gilchrist Elementary School, Tallahassee, FL, 2000-2001.

Editorial and Reviewing Service:

  1. Member, Editorial Board for SIAM Journal on Scientific Computing, 2008-Present.
  2. Member, Editorial Board for Mathematics and Computers in Simulation, 2005-Present.
  3. Member, Editorial Board for Monte Carlo Methods and Applications, 2000-Present.
  4. Member, Editorial Board for Advances in Computing, Theory and Practice, 1998-Present.
  5. Reviewer for Mathematical Reviews, 1995-Present.
  6. Textbook reviewer for Springer Verlag, Inc., 2009-Present.
  7. Textbook reviewer for McGraw-Hill, Inc., 2005-Present.
  8. Textbook reviewer for John Wiley and Sons, Inc., 2004-Present.
  9. External Journal Reviewer for the proposed Journal of Computational Science and Engineering for Birkhauser, Basel, Switzerland, 2003.
  10. Book Reviewer for The Journal of Statistical Physics, Mathematics of Computation, and Connection Science, 1989.

Refereeing Service:

  1. Modélisation et Mathématique et Analyse Numérique, 2009
  2. The 2009 International Conference on Computational Science and its Applications (ICCSA), 2009
  3. Physical Review, 2009
  4. The 2009 International Conference on Computational Science (ICCS), 2009
  5. High Performance Computing 2009 (HPC 2009)
  6. International Parallel and Distributed Computing (IPDPS), 2009
  7. Information Sciences, 2008
  8. Journal of Computational Physics, 2008
  9. Mathematics and Computers in Simulation, 2008
  10. Monte Carlo Methods and Applications, 2008
  11. Communications in Applied Mathematics and Computational Science, 2008
  12. SIAM Journal on Scientific Computing, 2008
  13. Journal of Computational Physics, 2008
  14. Monte Carlo Methods and Applications, 2008
  15. The 2008 International Conference on Computational Science and its Applications (ICCSA), 2008
  16. Computing in Science & Engineering, 2008
  17. Conference: High Performance Computing and Simulation 2008 (HPCS 2008)
  18. Journal of Computational Neuroscience, 2008
  19. Mathematics and Computers in Simulation, 2007
  20. Journal of Computational Physics, 2007
  21. Journal of Computational Neuroscience, 2007
  22. SIAM Journal on Numerical Analysis, 2007
  23. Monte Carlo Methods and Applications, 2007
  24. SIAM Journal on Scientific Computing, 2007
  25. Computational Statistics and Data Analysis, 2007
  26. The 2007 International Conference on Computational Science (ICCS), 2007
  27. Monte Carlo Methods and Applications, 2006
  28. Parallel Computing, 2006
  29. Physical Review E, 2006
  30. Parallel Processing Letters, 2006
  31. Parallel and Distributed Computing, a workshop of The 2006 International Conference on Computational Science and its Applications, 2006
  32. The 2006 International Conference on Computational Science (ICCS), 2006
  33. The 2006 International Conference on Computational Science and its Applications (ICCSA), 2006
  34. The International Workshop on High Performance Computing in Medicine and Biology 2006, 2006
  35. Computational Finance 2006, 2006
  36. Mathematics and Computers in Simulation, 2006
  37. 2006 High Performance Computing Symposium, 2006
  38. Computer Physics Communications, 2006
  39. Mathematics and Computers in Simulation, 2006
  40. Monte Carlo Methods and Applications, 2006
  41. Second International Conference on Computational Finance and Its Applications 2006, 2006
  42. The Journal of Computational and Applied Mathematics, 2005
  43. The Journal of Computational Physics, 2005
  44. The International Workshop on High Performance Computing in Medicine and Biology 2005, 2005
  45. Pattern Recognition Letters, 2005
  46. Journal of Computational Physics, 2005
  47. SIAM Journal on Scientific Computing, 2005
  48. The 2005 International Conference on Computational Science and its Applications, 2005
  49. The 2005 International Conference on Computational Science, 2005
  50. The Third International Workshop on Biomedical Computations on the Grid, 2005
  51. SIAM Journal on Scientific Computing, 2005
  52. The Journal of Computational Physics, 2005
  53. Parallel Computing, 2005
  54. Pattern Recognition Letters, 2005
  55. 2005 High Performance Computing Symposium, 2005
  56. Journal of Computational Physics, 2004
  57. Journal of Computational and Applied Mathematics, 2004
  58. ACM Transactions on Mathematical Software, 2004
  59. Monte Carlo Methods and Applications, 2004
  60. Numerical Methods for Partial Differential Equations, 2004
  61. Journal of Computational Physics, 2004
  62. The Fourth IMACS Seminar on Monte Carlo Methods, 2004
  63. Monte Carlo Methods and Applications, 2004
  64. The 2004 International Conference on Computational Science and its Applications, 2004
  65. The 2004 International Conference on Computational Science, 2004
  66. IEEE SoutheastCon 2004, 2004
  67. Fourth International Conference on Large-Scale Scientific Computations
  68. IEEE Internet Computing
  69. The 2003 International Conference on Computational Science
  70. Future Generation Computer Systems
  71. Fifth International Conference on Numerical Methods and Applications
  72. 16th Annual ACM International Conference on Supercomputing
  73. Journal of Computational and Applied Mathematics
  74. Parallel Processing Letters
  75. The 2002 International Conference on Computational Science
  76. IEEE Transactions on Neural Networks
  77. Third IMACS Seminar on Monte Carlo Methods
  78. Third International Conference on Large-Scale Scientific Computations
  79. Fourth International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing
  80. Operations Research
  81. Parallel Algorithms and Applications
  82. IEEE Transactions on Computers
  83. SC '99
  84. Journal of Computational Neurosciences
  85. Parallel and Distributed Computing Practices
  86. The 12th Workshop on Parallel and Distributed Simulation
  87. ACM Transactions on Modeling and Computer Simulation
  88. Journal of the ACM
  89. Journal of Computational Physics
  90. Journal of Statistical Computation and Simulation
  91. ACM Transactions on Mathematical Software
  92. Supercomputing '95
  93. IEEE Computational Science and Engineering
  94. SIAM Journal on Applied Mathematics
  95. SIAM Journal on Scientific and Statistical Computing
  96. SIAM Journal on Scientific Computing
  97. The Journal of Supercomputing
  98. The International Journal of High Speed Computing
  99. Connection Science
  100. Biological Cybernetics
  101. Annals of Biomedical Engineering
  102. The 8th International Parallel Processing Symposium
  103. The International Parallel Processing Symposium '95
  104. Computers and Mathematics with Applications
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