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-
UVA and the Toyota Research Institute Aim To Give Your Car the Power To Reason
Read NowUVA computer scientist Yen-Ling Kuo is developing artificial intelligence to make your car a trusted partner and coach.
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Are You Curious? Alum Says It Will Serve You Well in the Coming AI Storm
Read NowCuriosity may have killed the cat, but a systems engineering alum at NASA says it can also save us.
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AI Research at UVA Engineering
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Celebrating UVA Women Engineers at the Forefront of Healthcare Advancements
Read NowWe take pride in the many innovative researchers among our faculty. Join us in celebrating some of the women who contribute to our school and community, shaping the future of engineering.
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From Setback to Comeback: Cavalier Autonomous Racing Car Nabs Second in Major Competition
Read NowAfter early success then heartbreak, UVA Engineering’s autonomous racing team has roared back (almost) to the winner’s circle
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UVA Engineering’s New Machine Learning Research Aims to Make Bank Financing More Inclusive
Read NowFairness-aware AI research can explain how a policy affects different users and inform policies and consumer education programs.
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CAREER Award: Designing the Next Generation of Wireless Communications Systems
Read NowWorking in partnership with industry, Shen's machine-learning models can be prototyped, standardized and integrated into real systems.
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CAREER Award: Teaching Machines the Art of Human Decision-Making
Read NowLi’s models will generate deeper insights into observational data to help people make better decisions.
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Airman Magazine: Hypersonics
Read NowAssociate Professor Christopher P. Goyne is featured in Airman Magazine. His lab is providing valuable data to help develop technologies for the extreme environment of hypersonic flight.
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Shouts and Whispers
Read NowNSF grant extends research in statistical signal processing, ML and matrix theory, as well as practical communications engineering.
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A Messenger for Medicine
Read NowYanjun Qi is using powerful deep-learning models to analyze biomedical data to uncover how genes and messenger RNA interact.
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Computer science professor David Evans and his team conduct experiments to understand security and privacy risks associated with machine learning
Read NowDavid Evans, professor of computer science in the University of Virginia School of Engineering and Applied Science, is leading research to understand how machine learning models can be compromised.