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. 

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.

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.

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.

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.

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. 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. 

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

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...