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 SimulationDenis Nekipelov
Jason Papin
![Jason Papin headshot photo](/sites/default/files/styles/square_med/public/PapinHeadShotDec2020.jpeg?itok=n53fCMKs)
Jason Papin, Professor in the Department of Biomedical Engineering, develops computational models of cellular networks and performs experiments to characterize biological systems relevant to human disease. After his training in Bioengineering at University of California, San Diego, Jason Papin joined the faculty at University of Virginia in 2005.
B. Brian Park
![Headshot of Brian Park](/sites/default/files/styles/square_med/public/2023-12/Brian%20Park%202021%20nb.png?itok=YhZl41GS)
Brian Park is a Professor in the Department of Civil and Environmental Engineering and the Department of Systems and Information Engineering at the University of Virginia. Prior to joining UVA, he was a Research Fellow at the National Institute of Statistical Sciences and a Post-Doctoral Research Associate at NC State University,
Julianne Quinn
![Julianne Quinn Headshot](/sites/default/files/styles/square_med/public/IMGS0416_cropped.jpg?itok=5qaGQYJj)
Quinn's research focuses on optimization and simulation methods used to inform the design and management of water resources systems with the goals of protecting people from nature (floods and droughts), and nature from people (pollution and consumption). She is interested in how advanced sensing and forecasting techniques inform this optimization.
Robert Riggs
Dr. Gabriel Robins
![Headshot of Gabriel Robins](/sites/default/files/styles/square_med/public/2024-01/IMG-4844%20v3.jpg?itok=RX6CohlR)
Professor Gabriel Robins earned his Ph.D. in Computer Science from UCLA in 1992, where he received an IBM Fellowship and a Distinguished Teaching Award.
Daniel J. Rosenkrantz
![Daniel J. Rosenkrantz Headshot](/sites/default/files/styles/square_med/public/rosenkrantz_200x200.png?itok=yRB5whlb)
Dr. Daniel J. Rosenkrantz is a Distinguished Institute Professor with the Biocomplexity Institute and Initiative at the University of Virginia. He has made fundamental contributions to many areas of computer science including formal languages, theory of computation, etc and is listed in notable “Who’s Who” lists for his many scientific achievements
William T. Scherer
William T. Scherer is a super expert in systems engineering, stochastic control, and business analytics. Professor Scherer has served on the University of Virginia Systems Engineering Program faculty since 1986. He also consults with numerous organizations on the topics of systems thinking and business analytics applied to disparate organizations.
Heman Shakeri
![Heman Shakeri headshot photo](/sites/default/files/styles/square_med/public/Heman_001.png?itok=aIsj_ptU)
Dr. Shakeri's research includes algorithm development in machine learning and network science, computational statistics and data-driven identification and control of high-dimensional dynamical systems. Dr. Shakeri is an Assistant Professor at the School of Data Science and Assistant Professor by Courtesy in the Department of Biomedical Engineering.
Cong Shen
![Cong Shen Headshot](/sites/default/files/styles/square_med/public/2023-12/Cong%201.png?itok=rNPnIVLX)
Cong Shen has extensive industry experience at Qualcomm Research, SpiderCloud Wireless, Silvus Technologies, and Xsense.ai. His general research interests are machine learning and wireless communications. His current research focuses on multi-armed bandit, reinforcement learning, federated learning, and their engineering applications.
Nikolaos Sidiropoulos
![Nikolaos](/sites/default/files/styles/square_med/public/2024-02/NikosSidiropoulos_headshot_0.jpg?itok=D8eKR1bO)
Nikos Sidiropoulos earned his Ph.D. in Electrical Engineering from the University of Maryland–College Park, in 1992.
Natasha Smith
![Natasha Smith headshot](/sites/default/files/styles/square_med/public/Smith.jpg?itok=cKXSa83q)
UVA Engineering is a vibrant, collegial environment in which to work and teach.
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