Faculty
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Sang Son
Emeritus Professor of Computer Science -
John A. Stankovic
BP America Professor Emeritus Director Emeritus of the Link LabStankovic has h-index of 125 and over 68,500 citations. He was awarded the IEEE Simon Ramo Medal. He has two test of time paper awards, nine Best Paper awards, and eleven Best Paper runner up awards. He has been awarded an Honorary Doctorate from the University of York, U.K. He is the Emeritus BP America Professor in the Computer Science dept.
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Richard Stearns
Distinguished Institute Professor, Biocomplexity Institute and Initiative, Computer Science (by Courtesy) -
Derrick Stone
Senior Lecturer Computer ScienceWith three decades of industry experience in tech and software development, I'm interested in helping students understand both the theory and the implementation.
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Kevin Sullivan
Associate ProfessorKevin Sullivan obtained his background in computer science from Tufts University (1987), working most closely with David Krumme, and in graduate school at the University of Washington, working with David Notkin (MS, 1994, PhD, 1994).
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Yixin Sun
Anita Jones Career Enhancement Assistant Professor, Computer Science Assistant Professor, Electrical and Computer Engineering -
Yuan Tian
Visiting Assistant Professor, Computer Science -
Ashish Venkat
William Wulf Career Enhancement Assistant Professor, Computer ScienceAshish Venkat is an Assistant Professor in the Department of Computer Science at the University of Virginia, where he joined after obtaining a Ph.D. from UC San Diego. His work has been published at top-tier venues such as ISCA, MICRO, ASPLOS, HPCA, and USENIX Security, and has received funding from NSF, DARPA, SRC, and Intel.
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Anil Vullikanti
Professor, Computer Science, University of Virginia Biocomplexity InstituteAnil Vullikanti is a Professor in the Department of Computer Science and the Biocomplexity Institute. His research interests are randomized algorithms, combinatorial optimization, distributed computing, dynamical systems and network science, machine learning, and AI, and their applications to epidemiology, public health, and modeling.
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Hongning Wang
Visiting Associate Professor, Computer Science