Vivienne Sze
Associate Professor at MIT in the Electrical Engineering and Computer Science Department. at MIT Professional Education
Schools
- MIT Professional Education
Expertise
Links
Biography
MIT Professional Education
Vivienne Sze is an Associate Professor at MIT in the Electrical Engineering and Computer Science Department. Her research interests include energy-aware signal processing algorithms, and low-power circuit and system design for deep learning, computer vision, autonomous navigation and image/video processing. Prior to joining MIT, she was a Member of Technical Staff in the R&D Center at TI, where she developed algorithms and hardware for the latest video coding standard H.265/HEVC. She is a co-editor of the book entitled High Efficiency Video Coding (HEVC): Algorithms and Architectures (Springer, 2014).
Prof. Sze received the B.A.Sc.degree from the University of Toronto in 2004, and the S.M. and Ph.D. degree from MIT in 2006 and 2010, respectively. In 2011, she was awarded the Jin-Au Kong Outstanding Doctoral Thesis Prize in electrical engineering at MIT for her thesis on “Parallel Algorithms and Architectures for Low Power Video Decoding." She is a recipient of the 2017 Qualcomm Faculty Award, the 2016 Google Faculty Research Award, the 2016 AFOSR Young Investigator Research Award, the 2016 3M Non-tenured Faculty Award, the 2014 DARPA Young Faculty Award, the 2007 DAC/ISSCC Student Design Contest Award and a co-recipient of the 2016 MICRO Top Picks and the 2008 A-SSCC Outstanding Design Award.
Videos
SIGARCH Visioning Workshop: Agile and Open Hardware for Next Generation Computing -- Vivienne Sze
ESEC 2019 - Electrical & Computer Engineering - Vivienne Sze
ICCD 2020 Keynote (Q&A) Prof. Vivienne Sze MIT.
Storied Women of MIT: Vivienne Sze
Efficient Computing for Autonomous Navigation of Miniaturized Robots
Intelligent Hardware Technologies Workshop: Vivienne Sze
The Intersection of SSCS and AI --A Tale of Two Journeys by Vivienne Sze and Boris Murmann
Prof. Vivienne Sze (MIT) - Keynote Talk [Information Processing in Silicon - 2018 CSLSC@UIUC]
Energy-Efficient AI
MIT's Vivienne Sze Explores Energy-efficient Hardware for Deep Learning (Preview)
MIT's Vivienne Sze Explores How to Efficiently Map DNNs onto Processor Architectures (Preview)
Efficient Computing for Deep Learning, Robotics, and AI (Vivienne Sze) | MIT Deep Learning Series
SysML 18: Vivienne Sze, Limitations of Energy-Efficient Design Approaches for Deep Neural Networks
ICCD 2020 Keynote Prof. Vivienne Sze, MIT. How to Evaluate Efficient Deep Neural Network Approaches
Energy-Efficient AI | Vivienne Sze | TEDxMIT
Efficient Computing for AI and Robotics - Vivienne Sze (MIT) URTC 2020 Tech Talk
Vivienne Sze (MIT) - Efficient Computing for AI and Robotics
Read about executive education
Other experts
Michael Webber
Dr. Michael Webber is the Josey Centennial Professor in Energy Resources, Author, and Professor of Mechanical Engineering at the University of Texas at Austin, where he teaches and conducts research at the convergence of engineering, policy, and commercialization. Webber has authored more than 50...
Benjamin Keys
Education Ph.D. in Economics, University of Michigan, 2009. M.A. in Economics, University of Michigan, 2005. B.A. in Economics and Political Science, Swarthmore College, 2001. Academic Positions Held Assistant Professor of Real Estate, Wharton School, University of Pennsylvania, 2016 – present...
Kam Wing Siu
Academic qualification Ph.D. Boston University, 2008 Msc. The Hong Kong University of Sciecne and Technology 1997 B.Sc. The Hong Kong University of Science and Technology 1995 Academic and Professional Experience March 2015 - Present Assistant Professor of Business Education, Economics, Hong ...
Popular Courses
The Positive Leader: Deep Change and Organizational Transformation
Stephen M. Ross School of Business
Ann Arbor, Michigan, United States
Jun 23
Leading People and Teams
ESMT
Berlin, Germany
May 28
Leading Strategic Growth and Change
Columbia Business School
New York, New York, United States
Jun 10
Private Equity: Investing and Creating Value
The Wharton School
Philadelphia, Pennsylvania, United States
Sep 8
The Manchester Leadership Development Programme
Alliance Manchester Business School
Manchester, United Kingdom
Jul 1
Leading Digital Transformation
ESMT
Berlin, Germany
May 28
Looking for an expert?
Contact us and we'll find the best option for you.