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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  • Center for Research in Intelligent Storage & Processing in Memory

    UVA Engineering leads the $29.7 million, 10-university Center for Research in Intelligent Storage and Processing in Memory (CRISP) as part of the Semiconductor Research Corporation's Joint University Microelectronics Program. CRISP researchers are working to unlock the power of big data to solve some of society's biggest challenges by removing the computing "memory wall," which refers to the separation between computer memory that stores data and the processors that operate on the data. Director: Kevin Skadron.

  • Center for Risk Management of Engineering Systems

    The UVA Center for Risk Management of Engineering Systems (The Center), recognized worldwide for its contributions to risk, resilience, and reliability, brings together UVA's technical expertise in collaborations across the University. The Center develops theory, methodology, and technology to identify and manage risk for engineering systems.

  • Center for Visual & Decision Informatics

    This is a National Science Foundation Industry/University Cooperative Research Center. The center’s mission is to research and develop next-generation technologies in data science, big data analytics, including visual analytics, augmented intelligence, and decision informatics to enable decision makers in government and industry to fundamentally improve the way their organization’s information is interpreted and analyzed. UVA Site Director: Peter A. Beling.

  • Commonwealth Center for Advanced Logistics Systems (CCALS)

    CCALS is a consortium of industry, government and universities that adapts and transforms advanced logistics systems for market-ready solutions. CCALS engages and benefits its members through applied research and innovation in data analytics, cyber-physical systems, and strategic investments. Contact: Thomas Polmateer.

  • Materials Informatics Group

    Our group focuses on developing novel informatics approaches to accelerate the search and discovery of new materials.
    Capabilities
    • Design space guidance via DFT/ML

    • Bayesian learning
    • Quantitative structure-property relationships
    • Materials Informatics

  • Virginia Image and Video Analysis

    We focus on developing principled algorithms for image and video analysis. Applied mathematics (linear algebra and probabilistic frameworks) combine seamlessly with neural network architecture design in our Lab for advancing research by solving real world problems in a wide variety of domains, including biology, healthcare, education, and defense.