Hardware for Artificial Intelligence and the Internet of Things

Steven M. Bowers, associate 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.

Profile | Integrated Electromagnetics, Circuits, and Systems Lab

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

Profile | Virginia Nano-Computing Research Group

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, 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, Virginia Microelectronics Consortium Professor of electrical and computer engineering, 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