Associate Professor, MIT
Vivienne Sze is an associate professor in MIT’s Department of Electrical Engineering and Computer Science. Her group works on computing systems that enable energy-efficient machine learning, computer vision, and video compression/processing for a wide range of applications, including autonomous navigation, digital health, and the internet of things. She is widely recognized for her leading work in these areas and has received many awards, including faculty awards from Google, Facebook, and Qualcomm, the Symposium on VLSI Circuits Best Student Paper Award, the IEEE Custom Integrated Circuits Conference Outstanding Invited Paper Award, and the IEEE Micro Top Picks Award. As a member of the Joint Collaborative Team on Video Coding, she received the Primetime Engineering Emmy Award for the development of the High-Efficiency Video Coding video compression standard. She is a co-author of the book entitled “Efficient Processing of Deep Neural Networks”.
Website
Associate Professor, Northeastern University
Xuan (Silvia) Zhang is an Associate Professor in the Electrical and Computer Engineering Department at Northeastern University. Zhang received her Ph.D. in Electrical and Computer Engineering from Cornell University in 2012. Her research interests include artificial intelligence (AI) hardware, machine vision sensors, machine learning for electronic design automation, efficiency/security/privacy for autonomous systems, computer architecture, integrated circuits/VLSI design.
Website
Professor, Colorado School of Mines
Iris Bahar is the Department Head and Professor in the Computer Science department at the Colorado School of Mines. Bahar received her Ph.D. in Electrical and Computer Engineering from the University of Colorado, Bolder in 1995. Her research interests include energy-efficient and reliable computing, from robots, to high-end processors, embedded systems, and emerging technologies. Bahar is the 2019 recipient of the Marie R. Pistilli Women in Engineering Achievement Award and the Brown University School of Engineering Award for Excellence in Teaching in Engineering.
Assistant Professor, University of Rochester
Yuhao Zhu is an Assistant Professor of Computer Science and Brain and Cognitive Sciences at the University of Rochester. He holds a Ph.D. in Electrical and Computer Engineering from The University of Texas at Austin and was a visiting researcher at Harvard University and Arm Research. His research group focuses on visual computing, spanning imaging, computer systems, and human visual perception. His research has two complementary aspects: to leverage human perception for enhancing computing and imaging systems, while also developing imaging and computational tools that advance our understanding of human perceptions.
Website