Large-Scale Graph Computing: From “Think Like a Vertex” to “Think Like a Task”
Published: | 3:40 pm | Posted in: Colloquium
Speaker: Da Yan Date: Nov 3, 2023, 2:15 – 3:10 PM Abstract: Big graphs are ubiquitously used for data modeling in modern applications, such as online social networks, knowledge graphs and biological networks. Unlike relational databases where queries can be formulated in a uniform manner with relational algebra, operations on graphs are highly diversified. For […]
Fourth-year graduate student Liting Zhang recently published on high impact interdisciplinary journal Genome Research
Published: | 3:31 pm | Posted in: Student Recognition
Liting Zhang, a PhD candidate in the Computer Science Department, under the guidance of Dr. Xian Mallory, has recently made a significant contribution to the field of computational biology by publishing their work in the esteemed interdisciplinary journal, Genome Research, the impact factor of which is 9.438. The research paper, titled “Integrating SNVs and CNAs […]
Stochastic Computational Electrostatics and Applications: Computing Capacitance
Published: | 12:20 pm | Posted in: Events
Speaker: Michael Mascagni Date: Oct 27, 2023, 2:15 – 3:10 PM Abstract: We are interested in using stochastic (Monte Carlo) methods to solve problems that are relevant to electrostatics and specifically to semiconductor design. Thus, we begin by introducing what Monte Carlo are and show how they can be used to compute several numerical quantities. […]
Real Time Signal Processing Circuits Directly in Electromagnetic Waveform Domain
Published: | 2:42 pm | Posted in: Colloquium
Speaker: Bayaner Arigong Date: Oct 20, 2023 Abstract: Inspired by the visionary landscapes of science fiction, ubiquitous computing has emerged as a futuristic yet transformative paradigm that aims to seamlessly integrate computing technology into the fabric of our everyday lives. However, despite the promise of this vision, it remains uncertain how we can bring the […]
Kai Zhao Awarded a New Grant on scientific lossy compression from NSF
Published: | 5:04 pm | Posted in: News
Kai Zhao (https://ayzk.github.io/), Assistant Professor in the FSU Department of Computer Science, has been awarded a National Science Foundation grant of $540,000 for research on scientific lossy compression. This is his first federal grant as the FSU PI, collaborating with other four professors at the University of Chicago, Indiana University, and Ohio State University. The […]
Towards Sustainable, Scalable, and Intelligent Ubiquitous Computing
Published: | 2:27 pm | Posted in: Colloquium
Speaker: Te-Yen Wu Date: Oct 6, 2023 Abstract: Inspired by the visionary landscapes of science fiction, ubiquitous computing has emerged as a futuristic yet transformative paradigm that aims to seamlessly integrate computing technology into the fabric of our everyday lives. However, despite the promise of this vision, it remains uncertain how we can bring the […]