Vivienne Sze

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.[1][4]

Education and career

Sze did her undergraduate studies in electrical engineering at the University of Toronto, graduating in 2004.[5] She was a student of Anantha P. Chandrakasan at MIT,[1] where she earned a master's degree in 2006 and completed her Ph.D. in 2010; her doctoral research won MIT's Jin-Au Kong Outstanding Doctoral Thesis Prize in electrical engineering.[5]

After completing her doctorate, she worked on video coding at Texas Instruments.[1] She became a member of the Joint Collaborative Team on Video Coding (JCT-VC), which developed the standard for High Efficiency Video Coding (HEVC). After completing her work on HEVC,[6] she returned to MIT as a faculty member in 2013.[7]

Books

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).

Recognition

As part of the JCT-VC, Sze and her collaborators won a 2017 Primetime Engineering Emmy Award for their work on HEVC.[6] In 2020 she became the inaugural winner of the Rising Star Award of ACM-W, the Council on Women in Computing of the Association for Computing Machinery.[7]

References
  1. "Vivienne Sze", People of ACM, Association for Computing Machinery, 22 September 2020
  2. Martineau, Kim (28 April 2021), Q&A: Vivienne Sze on crossing the hardware-software divide for efficient artificial intelligence, MIT Schwarzman College of Computing, retrieved 2022-07-17
  3. Knight, Will (1 May 2019), "This chip was demoed at Jeff Bezos's secretive tech conference; it could be key to the future of AI", MIT Technology Review, retrieved 2022-07-17
  4. "Vivienne Sze", People, MIT CSAIL, retrieved 2022-07-17
  5. "Team", Energy-Efficient Multimedia Systems Group, MIT, retrieved 2022-07-17
  6. "Vivienne Sze shares Engineering Emmy Award with colleagues", MIT News, MIT, 30 November 2017, retrieved 2022-07-17
  7. ACM-W Rising Star Award Recipient: Vivienne Sze, ACM-W, retrieved 2022-07-17
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