Vivienne Sze is an American electrical engineer and computer scientist whose research focuses on low-power electronics and on the trade-offs between energy use and computing power in the combined design of software and hardware, for applications including video coding and deep neural networks.
[1][2][3] She is an associate professor in the Massachusetts Institute of Technology (MIT) Department of Electrical Engineering and Computer Science, where she heads the Energy-Efficient Multimedia Systems Group.
[7] With Madhukar Budagavi and Gary J. Sullivan, Sze edited the book High Efficiency Video Coding (HEVC): Algorithms and Architectures (Springer, 2014).
With Yu-Hsin Chen, Tien-Ju Yang, and Joel S. Emer, she is a coauthor of Efficient Processing of Deep Neural Networks (Morgan & Claypool, 2020).
As part of the JCT-VC, Sze and her collaborators won a 2017 Primetime Engineering Emmy Award for their work on HEVC.