Hardware for Artificial Intelligence and the Internet of Things
Our research on in-memory processing, integrated system design, and advanced materials aims to address computational challenges arising in AI and optimization.
Researchers
Steven M. Bowers
Steven M. Bowers received the B.S. degree in electrical engineering from the University of California at San Diego, La Jolla, CA, USA, in 2007, and the M.S. and Ph.D. degrees in millimeter- wave circuits and systems from the California Institute of Technology, Pasadena, CA, USA, in 2009 and 2014, respectively.
Benton H. Calhoun
Benton H. Calhoun received his B.S. in Electrical Engineering with a concentration in Computer Science from the University of Virginia in Charlottesville, VA, in 2000. He received his M.S. and Ph.D. degrees in Electrical Engineering from the Massachusetts Institute of Technology in Cambridge, MA, in 2002 and 2006, respectively.
Brad Campbell
Brad is a faculty member in the Computer Science Department, the Electrical & Computer Engineering Department, and the Link Lab. His group researchers and develops the next generation of low power, wireless, and secure Internet of Things systems to help make buildings and cities more sustainable.
Avik Ghosh
Avik Ghosh is Professor of Electrical and Computer Engineering and Professor of Physics at the University of Virginia. He has over 100 refereed papers and book chapters and 2 upcoming books in the areas of computational nano-electronics and low power devices.
Nikhil Shukla
Nikhil Shukla is an Associate Professor at the University of Virginia with a joint appointment in the ECE and the Materials Science and Engineering department.
Mircea R. Stan
Mircea R. Stan is teaching and doing research in the areas of AI hardware, Processing in Memory, Cyber-Physical Systems, Computational RFID, Low Power, Spintronics, and Nanoelectronics.