Research @ UVA Engineering

Data Science, AI/ML and Simulation

Research Area

Algorithms Biomedical Data Sciences Computational Statistics and Simulation/Statistical Modeling Machine Learning Optimization Models and Methods Risk and Decision Analysis Stochastic Modeling
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    UVA Engineering Professors Target Inclusive AI Education with $1M Grant

    With support from NSF, UVA Engineering researchers will democratize access to crucial AI training for high schoolers. 

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    It’s Got Praying Mantis Eyes

    The praying mantis is one of the few insects with compound eyes and the ability to perceive 3D space. UVA engineers are replicating their visual systems to make machines see better. 

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    UVA and the Toyota Research Institute Aim To Give Your Car the Power To Reason

    UVA 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

    Curiosity 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 Health Care Advancements

    We 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

    After 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

    Fairness-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

    Working 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

    Li’s models will generate deeper insights into observational data to help people make better decisions.

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  • Airman Magazine: Hypersonics

    Associate 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

    NSF grant extends research in statistical signal processing, ML and matrix theory, as well as practical communications engineering.

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