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.
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CAREER Award: Long-Lived Things for the Internet of Things
Read NowFor the internet of things to reach its maximal benefit, all those connected devices have to keep up with the times.
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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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Class of 2022: Will Ashe
Read NowAshe Has Earned a Ph.D. in Computer Engineering
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A Computer Playdate for Adults May Lead to Your Kid’s Next School Assignment
Read NowAssociate professor Luther Tychonievich has adapted computer science’s Tapestry professional development diversity program for Charlottesville school teachers through a local research-practice partnership.
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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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UVA Alum Shares His Experience in Cybersecurity During the 2020 Election
Read NowFormer director of the Cybersecurity and Infrastructure Security Agency talks about his work during 2020 election and cyber warfare in Ukraine.
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Putting It All on the Line
Read NowUVA Students Test Their Code in a Robot Competition that Relies on Teamwork
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UVA Earns International Bragging Rights for Driverless Racing
Read NowUVA’s fully autonomous car achieved an average speed of nearly 120 mph and a top speed of 124 mph in the historic Indy Autonomous Challenge Powered by Cisco.
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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.
