Vivienne Sze is building energy efficient and high-performance computer vision systems that can help with applications such as wearable vision, autonomous driving, UAV navigation.
Vivienne Sze has been selected for a Young Investigator Award by the Air Force Office of Scientific Research (AFOSR). The award recognizes young faculty that "show exceptional ability and promise for conducting basic research".
AFOSR received over 265 proposals and awarded over $20 million in grants to 56 scientists and engineers from 41 research institutions and small businesses who submitted winning research proposals through the Air Force's Young Investigator Research Program.
Vivienne Sze joined the EECS Department as an Assistant Professor in August 2013. She received the B.A.Sc. degree in Electrical Engineering from the University of Toronto in 2004, and the S.M. and Ph.D. degree in Electrical Engineering and Computer Science from MIT in 2006 and 2010, respectively. From September 2010 to July 2013, she was a Member of the Technical Staff in the Systems and Applications R&D Center at Texas Instruments.
Professor Sze's research focuses on joint design of algorithms, architectures, and circuits to build energy efficient and high-performance systems. Her work on implementation-friendly video compression algorithms was used in the development of the latest video coding standard HEVC/H.265, enabling it to deliver better compression than previous approaches, while still achieving high processing speeds and low hardware cost. Prof. Sze aims to develop energy-aware algorithms and efficient architectures for various energy-constrained applications including portable multimedia, health monitoring, and distributed sensing.