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
Advanced and Secure Computing Clear selection
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  • ASSIST Center

    The Center for Advanced Self-Powered Systems of Integrated Sensors and Technologies (ASSIST) is an NSF-funded Engineering Research Center established in 2012. ASSIST focuses on creating self-powered sensing, computing, and communication systems to enable data-driven insights for a smart and healthy world.

  • Center for Applied Biomechanics

    As the largest university-based injury biomechanics laboratory in the world, the center specializes in impact biomechanics for injury prevention. Started by NHTSA back in 1989, the center now operates out of a 30,000-square-foot facility located in the University of Virginia Research Park.

  • 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 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 Manufacturing (CCAM)

    CCAM is a public-private research partnership created by the University of Virginia, Virginia Tech, Virginia State University, Canon, Chromalloy, Newport News Shipbuilding, Rolls-Royce, Sandvik Coromant, Siemens, and Sulzer Metco. The center’s overall goal is to accelerate new technologies from initial creation through application and proof of concept and into commercial practice by bringing researchers from the universities and industry into a shared collaborative environment. UVA Advanced Manufacturing Fellow: Richard Martukanitz.

  • High-Performance Low-Power Lab

    The High-Performance Low-Power (HPLP) Laboratory is dedicated to research in the areas of Artificial Intelligence (AI) hardware and edge IoT. Ongoing research spans a wide range of topics, from Processing-in-Memory (PiM), low-power hardware accelerator design, and Smart Dust, to explorations in spintronics and nanoelectronics.

  • MIST Center

    The Multi-Functional Integrated System Technology (MIST) Center is a National Science Foundation Industry/University Cooperative Research Center. It's mission is to facilitate integration of novel materials, processes, devices and circuits into multi-functional systems through research partnerships between university, industry and government stakeholders. The UVA site adds expertise in functional materials, solid-state devices, photonics, Terahertz sensing, thermal characterization, multiscale modeling and heterogeneous integration. UVA Site Director: Avik Ghosh.

  • Rolls-Royce University Technology Center

    UVA Engineering is one of three Rolls-Royce University Technology Centers in the country engaged in world-class, collaborative research and technology programs in technologies that are critical to advancements in aerospace and advanced manufacturing.

  • 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.