Hardware for Artificial Intelligence and the Internet of Things

Our applications-driven research in IoT systems emphasizes self-powered systems, leveraging energy-efficient, sub-threshold circuit design.


Our research on in-memory processing, integrated system design, and advanced materials aims to address computational challenges arising in AI and optimization.

Faculty

  • Steven M. Bowers

    Steven M. Bowers


    Steven M. Bowers, assistant professor of electrical and computer engineering, leads the Integrated Electromagnetics, Circuits and Systems Lab. His group focuses on microwave to THz systems for the Internet of Things, biomedical imaging, security and communication.

    ProfileIntegrated Electromagnetics, Circuits, and Systems Lab

  • Benton H. Calhoun

    Benton H. Calhoun


    Benton H. Calhoun, professor of electrical and computer engineering, leads the robust low power VLSI group. Research interests include low power digital circuit design, sub-threshold digital circuits, SRAM design for end-of-the-roadmap silicon and medical applications for low energy electronics.

    Profile | Robust Low Power VLSI Design Group

  • Brad Campbell

    Brad Campbell


    Brad Campbell, assistant professor of electrical and computer engineering and computer science, conducts research on wireless embedded systems that are effective, unobtrusive and scalable, with a focus on new energy-harvesting sensors, IoT networks and sensing systems.

    Profile | Google Scholar

  • Avik Ghosh

    Avik Ghosh


    Avik Ghosh, professor of electrical and computer engineering and professor of physic, leads the Virginia nano-computing research group to understand non-equilibrium properties of nano-scale material structures using high performance computational resources.

    ProfileVirginia Nano-Computing Research Group

  • Kyusang Lee

    Kyusang Lee


    Kyusang Lee, assistant professor of electrical and computer engineering and materials science and engineering, leads the thin-film device lab in the use of organic and inorganic materials in optoelectronic devices, with a particular emphasis on applications for solar energy conversion and imaging.

    Profile | Thin Film Device Lab

  • Nikhil Shukla

    Nikhil Shukla


    Nikhil Shukla, assistant professor of electrical and computer engineering, leads the computing hardware research lab. His research interests lie in emerging devices and circuits as well as developing new approaches for energy efficient computing and storage.

    Profile | Computing Hardware Research Lab

  • Mircea Stan

    Mircea Stan


    Mircea Stan, Virginia Microelectronics Consortium Professor, leads the high-performance low-power laboratory dedicated to research in AI hardware and edge IoT; research encompasses processing-in-memory, low-power hardware accelerator design, smart dust, spintronics and nanoelectronics.

    Profile | High-Performance Low-Power Lab

  • Ronald Dean Williams

    Ronald Dean Williams


    Ronald Dean Williams, associate professor of electrical and computer engineering, performs research in digital systems with a focus on embedded computing, with applications in control, signal processing, energy management, biomedical instrumentation and industrial cyber security.

    Profile

ECE Hardware for AI and IOT Research News