Associate Professor, Computer Science, VolgenauSongqing Chen has taught at George Mason University since 2004. His areas of interest and expertise are Internet content delivery systems, Internet measurements and modeling, system security, and distributed systems. In addition to the National Science Foundation CAREER and AFOSR Young Investigator Awards, he has received the George Mason University Emerging Researcher, Scholar, and Creator Award, the Volgenau Rising Star Faculty Award, and the Department of Computer Science Outstanding Research Award (three times).
Assistant Professor, Electrical and Computer Engineering, VolgenauXiang Chen understands machine learning, mobile graphic, mobile application development and system optimization, as well as circuit design, and human-computer interaction. Prior his academic career, he interned at Samsung Research America and Microsoft Research Asia, working on mobile display technology, system power optimization, and user interactive application. Chen’s current research focuses on mobile computing with deep learning, mobile graphic optimization for VR/AR system, and high performance mobile sensing system.
Assistant Professor, Computer Science, VolgenauXue Chen joined George Mason University as an assistant professor in Fall 2020. He is broadly interested in big data and the development of efficient algorithms. Specific areas include big data algorithms for the Fourier transform and sparse recovery, foundations of machine learning, and randomized algorithms. He received his PhD in April 2018 at the University of Texas at Austin under the supervision of David Zuckerman. From 2018 to 2020, He was a postdoctoral fellow at Northwestern University.
Assistant Professor, Computer Science, VolgenauYue Cheng’s research interests are in distributed systems, storage systems, serverless and cloud computing, and high-performance computing. He is currently working on redesigning the serverless computing infrastructure and systems support for federated learning. Degrees PhD, Computer Science, Virginia Tech BEng, Computer Science, Beijing University of Posts and Telecommunications (BUPT), Beijing, China
Associate Professor, Bioengineering, Volgenau Associate Professor, BioengineeringParag Chitnis joined the Department of Bioengineering at George Mason University in Fall of 2014. He also is a Principal Investigator at the Krasnow Institute of Advanced Study. The institute, which functions as an independent research facility at Mason, upholds a mission to expand scientific understanding of the mind, the brain, and intelligence by exploring the intersection of cognitive science, neuroscience, artificial intelligence, and complex adaptive systems.
Associate Professor, Systems Engineering and Operations Research, VolgenauTom Clemons joins Mason after a 36-year career in military and federal service with significant experience in missile defense, space operations, autonomous systems, and war gaming and experimentation. As the Deputy Division Chief and Chief Technical Officer for Space and Missile Defense Operations for the Joint Chiefs of Staff he provided space and missile defense subject matter expertise for the Chairman of the Joint Chiefs of Staff, senior Department of Defense leadership, and Combatant Commanders.
Associate Professor, Cyber Security Engineering, VolgenauPaulo Costa has applied his significant experience as a fighter pilot to a career specializing in the field of electronic warfare and flight safety, which in conjunction with his research on probabilistic reasoning has led to applications in cyber and transportation security, heterogeneous data fusion, and decision support systems in healthcare, defense, and other areas. These topics are at the core of his classroom activities at both graduate and undergraduate level, as well as his research path.
Instructor, Information Sciences and Technology, Information Sciences and TechnologyResearch Research Interests Communications Degrees MS, Telecommunications, George Washington University BS, Electrical Engineering, Drexel University
Professor, Computer Science, VolgenauSanmay Das has broad interests across artificial intelligence, machine learning, and computational social science. He works on designing effective algorithms for agents in complex, uncertain environments and understanding the social or collective outcomes of individual behavior. His recent work focuses on the algorithmic allocation of scarce societal resources, with an eye towards the distributive justice implications of different policies and mechanisms.