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
Data Science, AI/ML and Simulation Clear selection
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    Artificial Intelligence

    Computer Science Our department is advancing the state of the art in both fundamental algorithms as well as new algorithms to help users benefit from this revolution and provide new capabilities for the benefit of society.
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    Biomedical Systems and Data Science

    Electrical and Computer Engineering Our interdisciplinary research ranges from designing biomolecular sensors to developing data-intensive approaches for ensuring the safety of medical devices.
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    Cyber-Physical and Autonomous Systems

    Mechanical and Aerospace Engineering We are taking a national leadership role in the area of underwater, ground-based and aerial autonomous systems, bio-inspired systems, robotics, sensing, and autonomous vehicles. We are able to leverage our state-of-the-art facilities in mechatronics rapid prototyping as well as cyber-physical systems and manufacturing with our strong industrial ties.
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    Hardware for A.I. and I.o.T.

    Electrical and Computer Engineering Our applications-driven research in IoT systems emphasizes self-powered systems, low-power hardware, energy-harvesting sensors and embedded systems, and sub-threshold circuit design.
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    Information and Intelligent Automation

    Systems and Information Engineering Exploring intelligent, automated technology and method development and innovative ways these intelligent systems can improve society.

  • Systems Biology and Biomedical Data Science

    Biomedical Engineering Tackling complex challenges in human health requires the systematic analysis of molecular, cellular, and multi-cellular processes in a quantitative framework.
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    Theory

    Computer Science