Faculty

Professor Acton’s laboratory at UVA is called VIVA - Virginia Image and Video Analysis. They specialize in biological image analysis problems. The research emphases of VIVA include machine learning for image and video analysis, AI for education, tracking, segmentation, and enhancement.

Homa Alemzadeh is an Assistant Professor in the Department of Electrical and Computer Engineering and Computer Science at UVA. She is also affiliated with the UVA Link Lab, a multi-disciplinary center for research and education in Cyber-Physical Systems (CPS). Before joining UVA, she was a Research Staff Member at the IBM TJ Watson Research Center.

Dr. Aylor has been an active researcher in the area of complex computer system design including computer technology for persons with disabilities. His most significant accomplishments include the development of the VHSIC Hardware Description Language (VHDL), the development of a new "mixed-level" modeling technology.

N. Scott Barker received the B.S.E.E. degree from the University of Virginia in 1994 and the M.S.E.E. and Ph.D. degree in electrical engineering from the University of Michigan, Ann Arbor, in 1996 and 1999 respectively.

Adam Barnes earned a B.S. degree in Electrical Engineering from Virginia Tech in 1992, and an M.S. in Electrical Engineering in 1995. In 2019 he moved to the University of Virginia to teach the next generation of engineers. He is an ASEE member and interested in advancing engineering and science in both rising engineers and the general public.

Andreas Beling earned his M.Sc. from the University of Bonn in 2000 and Ph.D. from Technical University Berlin in 2006. He worked at Heinrich-Hertz-Institut and UVa, gaining industry experience in fiber optic communication systems. Beling authored 230+ papers, 3 chapters, and holds 4 patents. Senior member of OSA and IEEE.

Nicola Bezzo is an Associate Professor with the Department of Electrical and Computer Engineering at the University of Virginia.

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 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.

Joe Campbell received a B.S. Degree in Physics for the University of Texas at Austin in 1969, and M.S. and Ph.D. degrees in Physics from the University of Illinois at Urbana-Champaign in 1971 and 1973. Professor Campbell teaches courses on lasers and optoelectronic components. In 2002 Professor was inducted into the National Academy of Engineering.

Professor Crockett received a B.S. degree in electrical engineering from the University of Virginia in 2015 and a Ph.D. degree in electrical engineering from the University of Michigan in 2022. Before entering graduate school, she worked in goverment contracting as a systems and image quality engineer. She is a member of IEEE and ASEE. 

Joanne Bechta Dugan is Professor Emerita of Electrical and Computer Engineering. Her research focuses on assessment of the dependability of computer-based systems—she developed the dynamic fault tree model, which extends the applicability of fault tree analysis to computer systems. Current work focuses on interdisciplinary courses in robotics.

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. 

Mathews Jacob is is an expert in machine learning algorithms for biomedical imaging. He develops advance magnetic resonance imaging (MRI) methods for brain, lung, and heart applications.

Dr. Johnson has served on the faculty since 1984 and was promoted to Full Professor in 1994. He was a co-founder of Privaris, a biometrics security company, and served as Chief Executive Officer from 2002 to 2006 while on leave from the University of Virginia. 

Kyusang Lee is currently an Associate Professor of Electrical and Computer Engineering and Materials Science and Engineering departments at University of Virginia. He received his B.S. degree from Korea University in 2005, M.S. degree from Johns Hopkins University in 2009, and Ph.D. degree from University of Michigan in 2014, all in Electrical Engi

Li's research interests are generally in AI, Data Mining, and Machine Learning. As a result of his research work, he has published over 150 papers in high-impact venues. He has won several prestigious awards, and his work is supported by NSF, DOE, ONR, JP Morgan, Netflix, Cisco, and Snap.

Dr. Lichtenberger is a Research Professor at UVA and the NRAO Director of the UVA Microfabrication Laboratories. He has built an internationally recognized research program in superconducting materials, devices, circuits and packaging for ultra-sensitive single pixel and and array THz detectors. 

Ken Ono is the STEM Advisor to the Provost and the Marvin Rosenblum Professor of Mathematics, a Professor by Courtesy in the School of Engineering and Applied Science and School of Data Science and a Professor by Courtesy of Statistics. He studies mathematics, specializing in Algebra, Arithmetic Geometry, Combinatorics and Number Theory.

Dr. Powell is an Associate Professor of Electrical and Computer Engineering at the University of Virginia. He was an active research and design engineer, focusing on automation, embedded systems, remote control, and electronic/mechanical co-design techniques before getting his Ph.D in 2011 and holds 16 patents in these areas. 

Associate Professor Quinn first came to the University of Virginia as an undergraduate student in 2006. After graduating, he left to get his PhD at Princeton University, then returned in 2017 to be on the UVA faculty.

Dr. Rohde develops computational predictive models with applications in pathology, radiology, systems biology, and mobile sensing.

Cong Shen is an Associate Professor in the Department of Electrical and Computer Engineering at UVa. He obtained his PhD degree from UCLA. His current interests are in generative models, in-context learning, reinforcement learning, federated learning, and their engineering applications (particularly in wireless communications and networking). 

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.

Nikos Sidiropoulos earned his Ph.D. in Electrical Engineering from the University of Maryland–College Park, in 1992.

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.

Sun joined UVA as an associate professor in 2021. Prior to her position at UVA, Sun was an associate professor in the Department of Mechanical Engineering at Michigan Technological University.

Nathan Swami is a Professor of Electrical & Computer Engineering at the University of Virginia, Charlottesville, VA.

For more than 30 years, Professor Gang Tao has worked in various areas of adaptive control theory and applications, with particular interests in adaptive control of systems with multiple inputs and multiple outputs, systems with nonsmooth nonlinearities, and systems with uncertain faults...

Amanda Watson’s research focuses on wearable technology for healthcare and athletic performance. Amanda Watson is an Assistant Professor in Electrical Engineering and Computer Science at the University of Virginia. She is also affiliated with the UVA Link Lab, a multi-disciplinary center for research and education in Cyber-Physical Systems (CPS).

Bobby Weikle's research focuses on millimeter-wave and terahertz electronics, applied electromagnetics, integrated antennas, novel high-speed devices and low-noise sensors for applications ranging from astronomy and spectroscopic sensing to metrology.

Williams' completed my Ph.D. in materials physics at Penn State University in 2001, and undertook postdoctoral research in the Molecular Biophysics Group at the Delft University of Technology in the Netherlands, thereafter establishing a nanophysics laboratory in the physics department at the University of Virginia. 

Dr. Yi’s research is focused on quantum and classical applications of integrated photonics through leveraging optical resonators and optical frequency combs.

Mona Zebarjadi is a joint professor of Electrical and Computer Engineering and Materials Science and Engineering Departments at the University of Virginia, where she is leading the Energy Science and Nanotechnology Lab (ESnail). 

Professor Zhang completed her PhD in computer science at the University of Utah. She was a postdoctoral associate in the Computer Science and Artificial Intelligence Laboratory (CSAIL) at the Massachusetts Institute of Technology.