Vivienne Sze
Professor, Department of Electrical Engineering & Computer Scienc
Research
The Energy-Efficient Multimedia Systems Group aims to develop and implement energy-efficient and high-performance systems for multimedia applications such as machine learning, computer vision, video compression and imaging. We focus on the joint design of algorithms, architectures, circuits and systems to enable optimal tradeoffs between power, speed, and quality of result. Accordingly, our work traverses various levels of abstraction from energy-aware algorithm development for signal processing to efficient architecture design and low-power VLSI circuit implementation.
Biography
Vivienne Sze received the B.A.Sc. (Hons) degree in electrical engineering from the University of Toronto, Toronto, ON, Canada, in 2004, and the S.M. and Ph.D. degree in electrical engineering from the Massachusetts Institute of Technology (MIT), Cambridge, MA, in 2006 and 2010 respectively. She received the Jin-Au Kong Outstanding Doctoral Thesis Prize in electrical engineering at MIT in 2011.
She is a Full Professor in the Electrical Engineering and Computer Science Department at MIT. She 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. Her work has been recognized by various 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, the IEEE Micro Top Picks Award and the International Symposium on Performance Analysis of Systems and Software Best Paper 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-editor of High Efficiency Video Coding (HEVC): Algorithms and Architectures (Springer, 2014) and co-author of Efficient Processing of Deep Neural Networks (Synthesis Lectures on Computer Architecture, Morgan Claypool, 2020).
Contact
Email: sze@mit.edu
Phone: 617-324-7352
Website: Energy-Efficient Multimedia Systems Group
Office: 38-260
LinkedIn: https://www.linkedin.com/in/viviennesze/
