Research @ UVA Engineering

Engineering for the Cyber Future

Our 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
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    AI-Powered System Detects Toxic Gases with Speed and Precision

    UVA Engineering advancement protects public health by improving air quality monitoring in real time.

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    As NASA Prepares for Next Moonshots, This Student’s Job Is To Make Sure Rockets Get Their Closeup

    UVA Engineering undergraduate student Craig Kalkwarf, who is double-majoring in astronomy, is finding his career path courtesy of NASA Pathways.

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    New AI Model Could Make Power Grids More Reliable Amid Rising Renewable Energy Use

    UVA researchers use AI to manage the growing complexity of modern power grids.

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    Predicting Norfolk Street Flooding in Seconds: UVA Professor Jon Goodall's Machine Learning Advancements

    AI-powered models offer faster, real-time flood forecasts for Hampton Roads.

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    UVA Professor Tackles Graph Mining Challenges with New Algorithm

    Nikolaos Sidiropoulos has helped create a powerful new algorithm that uncovers hidden patterns in complex networks, with potential uses in fraud detection, biology and knowledge discovery. 

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    UVA Researchers Engineer AI Breakthrough in Human Action Detection Technology

    Scott T. Acton and a team of researchers develop an AI-driven video analyzer capable of detecting human actions in video footage with unprecedented precision and intelligence. 

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  • Trust is Not the Answer: Rethinking Human-Machine Interaction for Ethical Engineering

    Matthew Bolton argues that relying on trust in AI can mislead users, advocating instead for transparency, reliability and ethical design.

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    • UVA Researchers Pioneer AI-Driven Manufacturing Efficiency

    Cindy Chang and her team have created a more efficient way to optimize manufacturing systems, improving speed and quality while reducing waste.

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  • Systems and Information Engineering 2.0: The Future of Complex Systems

    Opinion: Integrating AI with human insight to revolutionize smart systems for a modern world.

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    • Podcast: Madhur Behl on CAVCAR’s Record-Breaking Victory and Beyond

    Hoos in STEM podcast host Ken Ono asks Cavalier Autonomous Racing’s Madhur Behl and Amar Kulkarni what’s next after becoming the first American team to win the Indy Autonomous Challenge.

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    Watch as UVA Displays Its New High-Speed, Self-Correcting AI Algorithms

    What were the keys to UVA's impressive showing at this fall's Indy Autonomous Challenge? A mathematical tweak to the vehicle dynamics and a new car-detection algorithm that learns from its mistakes.

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    Autonomous Vehicles Can Be Imperfect — As Long as They’re Resilient

    Homa Alemzadeh and her colleagues aim to systematically find and fix safety vulnerabilities in autonomous vehicle systems.

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