Research @ UVA Engineering
Engineering for the Cyber FutureOur researchers are not merely reacting to the cyber age, we are catalyzing it. Machine learning, cybersecurity, high performance computing, intelligent memory systems, avalanche photodiodes, ultra-low-power chips: These are just some of the technologies essential to such next-generation projects as the Internet of Things and 100 Gbps Ethernet, and they are just some of the areas in which UVA Engineering holds world-class expertise.
Research Area
Advanced and Secure Computing Cyber-Physical and Autonomous Systems Human Technology Interaction Data Science, AI/ML and Simulation-
Brian L. Smith, PE
Professor Senior Associate Dean for Research and Faculty AffairsBrian L. Smith, PE is a leader in advanced technology in surface transportation systems - specifically "connecting" the infrastructure to travelers to improve transportation safety and efficiency. His research has contributed to innovations such as mobile phone navigation systems and urban freeway management.
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Kevin Skadron

Kevin Skadron's research interests cover a wide range of Computer Architecture topics, including hardware acceleration, memory architecture and processing in and near memory (PIM/PNM), automata and pattern-matching/regular-expression acceleration, and hardware support for debugging.
Mircea R. Stan

Mircea R. Stan is teaching and doing research in the areas of AI hardware, Processing in Memory, Cyber-Physical Systems, Computational RFID, Low Power, Spintronics, and Nanoelectronics.
Richard Stearns

Derrick Stone

With love for the art of programming and three decades of industry experience in software engineering, I am interested in helping students understand theory and implementation.
Kevin Sullivan

Kevin 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).
Yixin Sun
Yuan Tian
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
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.
Hongning Wang

UVA Engineering is a vibrant, collegial environment in which to work and teach.
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