Ashish Venkat
Ashish 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, IEEE S&P, and USENIX Security, and has received funding from NSF, DARPA, SRC, and Inte
Arohi Khargonkar
Anita Jones
Anita Jones received her Ph.D. in Computer Science from Carnegie-Mellon University in 1973. She left CMU as an Associate Professor when she co-founded Tartan Laboratories. She was vice-president of Tartan from 1981-87. In 1988 she joined UVA as a Professor and the Chair of the Computer Science Department. She is an ACM Fellow, an IEEE Fellow.
Anil Vullikanti
Anil 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.
Angela Orebaugh
Angela Orebaugh is an Associate Professor in the Engineering School's Computer Science Department. Her teaching and research blends keeping us safe and secure in the cyber world with a passion for promoting mindful, intentional, engagement with technology.
Andrew Grimshaw
Andrew Grimshaw is the chief designer and architect of Mentat and Legion. In 1999 he co-founded Avaki Corporation, and served as its Chairman and Chief Technical Officer, until 2005 when Avaki was acquired by Sybase. In 2003 he won the Frost and Sullivan Technology Innovation Award.
Alfred C. Weaver
Alf Weaver received his Ph.D. in Computer Science from the University of Illinois in 1976. He joined the University of Virginia in 1977 and is now Professor of Computer Science, Chair of the UVA Faculty Senate, and Founding Director of UVA’s Applied Research Institute, where he is working with projects related to national security.
Aidong Zhang
Aidong Zhang's research focuses on developing machine learning approaches to interpretable and fair learning, concept-based learning, federated learning, and generative AI. She also works on large language models for hypothesis generations for scientific discovery.
Afsaneh Doryab
Afsaneh Doryab's research is at the intersection of ubiquitous computing, AI, HCI, and health. She works on computational modeling of human behavior (incl. Activity Recognition) from data streams collected via mobile, wearable, and embedded sensors.
His research interests lie in the broad area of computer architecture and systems. Jog's research has consistently been published at premier IEEE/ACM computer systems and architecture venues and funded by several agencies such as NSF and Google. He is a senior member of both IEEE and ACM.