Vivienne Sze

Vivienne Sze is an associate professor in MIT’s Department of Electrical Engineering and Computer Science and leads the Research Lab of Electronics’ Energy-Efficient Multimedia Systems research group. Her group 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. She is widely recognized for her leading work in these areas and has received many awards, including the Air Force Office of Scientific Research and DARPA Young Faculty Award, the Edgerton Faculty Award, 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, and the IEEE Micro Top Picks 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. Sze earned a BS from the University of Toronto, and an MS and PhD from MIT.

Publications

• Lai, H.-Y., Saavedra Peña, G., Sodini, C., Sze, V., Heldt, T. (2020). Measuring Saccade Latency Using Smartphone Cameras. IEEE Journal of Biomedical and Health Informatics (JBHI), Vol. 24, No. 3, pp. 885-897.
• Zhang, Z., Henderson, T., Karaman, S., Sze, V. (2020). FSMI: Fast computation of Shannon Mutual Information for information-theoretic mapping. To appear in International Journal of Robotics Research (IJRR).
• Yang, T.-J., Sze, V. (2019). Design Considerations for Efficient Deep Neural Networks on Processing-in-Memory Accelerators. IEEE International Electron Devices Meeting (IEDM), Invited Paper.
• Suleiman, A., Zhang, Z., Carlone, L., Karaman, S., Sze, V. (2019). Navion: A 2mW Fully Integrated Real-Time Visual-Inertial Odometry Accelerator for Autonomous Navigation of Nano Drones. IEEE Journal of Solid-State Circuits (JSSC), VLSI Symposia Special Issue, Vol. 54, No. 4, pp. 1106-1119. 
• Chen, Y.-H., Yang, T.-J., Emer, J., Sze, V. (2019). Eyeriss v2: A Flexible Accelerator for Emerging Deep Neural Networks on Mobile Devices. IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), Vol. 9, No. 2, pp. 292-308. 

Media

• April 28, 2021: MIT News, Q&A: Vivienne Sze on crossing the hardware-software divide for efficient artificial intelligence.
• January 14, 2020: Association for Computing Machinery (ACM), Vivienne Sze receives the inaugural ACM-W Rising Star Award.
• May 1, 2019: MIT Technology Review, This chip was demoed at Jeff Bezos’s secretive tech conference. It could be key to the future of AI.
• April 17, 2019: MIT News, Vivienne Sze wins Edgerton Faculty Award.
• November 30, 2017: MIT News, Vivienne Sze shares Engineering Emmy Award with colleagues.