Research Interests  
Dr. Michael Mascagni 
Computational Science and Applications: Fast deterministic and stochastic numerical algorithms for computational materials science; computational biophysics; computational neuroscience; computational electrostatics; computational nanotechnology Computer Science: Parallel and distributed computing system software; commodityofftheshelf cluster computing; cryptography and computer security; computational number theory; derandomization of probabilistic algorithms; probabilistic algorithms for quantum computers Mathematical Biology: Numerical methods for neuronal modeling; reactiondiffusion equations; fast methods for branching nerve equations; particle methods; computational neuroscience; computational methods in biochemistry Monte Carlo Methods: Monte Carlo methods for partial differential equations; quasiMonte Carlo methods for eigenproblems; first and lastpassage algorithms; applications to materials, biology, physics, and parallel computing Numerical Analysis: Deterministic particle and random gradient methods for reactiondiffusion equations; numerical integration; numerical linear algebra; graph partitioning; pseudo and quasi random number generation Parallel/Distributed/Grid Computing: Scalable pseudorandom number generation; scalable quasirandom number generation; parallel Monte Carlo and quasiMonte Carlo methods; methods for parallel domain decomposition; validation of volunteered computation; Gridbased infrastructures for Monte Carlo Random Number Generation: Splitting and parameterization methods for parallel computing; SIMD and MIMD parallel testing and implementation, ASCIclass random numbers, quasirandom number generation; fast scrambling techniques quasirandom numbers Software Engineering: Scalable libraries for pseudorandom number generation, numerical libraries; efficient and portable implementations; scalable libraries for quasirandom number generation; robust distributed/Grid infrastructure for Monte Carlo applications; validation of Grid computing

Home  Educational Background  Research Experience  Curriculum Vitae  Research Interests  Research Projects  Recent Papers  Courses  Abstracts of Talks  Brief Biography 