Team

Yu-Hsin Chen received the B.S. from National Taiwan University, Taiwan, in 2009, and the S.M. and Ph.D. degree in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology, Cambridge, MA, in 2013 and 2018, respectively. His Ph.D. research focused on architecture design and hardware implementation for deep learning accelerators. His work on the dataflows for CNN accelerators was selected as one of the Top Picks in Computer Architecture in 2016. He was also the recipient of the 2015 NVIDIA Graduate Fellowship, the 2018 Jin-Au Kong Outstanding Doctoral Thesis Prize in electrical engineering at MIT and the 2019 ACM SIGARCH/IEEE-CS TCCA Outstanding Dissertation Award. In August 2018, he joined NVIDIA Research as a Research Scientist in the Architecture Research Group.

Hsin-Yu Lai received the B.S. degree in EE and math from National Taiwan University. She received the S.M. and Ph.D. degrees in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology, Cambridge, MA, in 2016 and 2020, respectively. Her Ph.D. research focused on tracking eye movement features for individualized assessment of neurocognitive state using mobile devices. In September 2021, she joined Harvard University as a Postdoctoral Researcher.

James Noraky received the S.B. in Electrical Sciences and Engineering from MIT in 2013. He received the M.Eng. and Ph.D. degrees in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology, Cambridge, MA, in 2014 and 2020, respectively. His Ph.D. research focused on algorithms and systems for low power time-of-flight imaging. In June 2020, he joined Google as a Software Engineer.

Amr Suleiman received the B.S. and M.S. degrees in Electronics and Electrical Communications Engineering from Cairo University, Egypt in 2008 and 2011, respectively. He received the S.M. and Ph.D. degrees in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology, Cambridge, MA, in 2013 and 2018, respectively. His Ph.D. research focused on developing new energy-efficient implementations for machine vision algorithms (e.g., detection, recognition, and tracking). He was a recipient of the Endowed fellowship of the Arab Republic of Egypt, the 2018 Symposium on VLSI Circuits Best Student Paper Award, and third place award at the 2015 Broadcom Foundation University Research Competition. In May 2018, he joined Facebook Reality Labs as a Research Scientist.

Gladynel Saavedra Peña received the B.S. degree in Electrical Engineering from the University of Puerto Rico in Mayagüez (UPRM) in 2016 and the S.M. degree in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology, Cambridge, MA in 2018. Her S.M. research focused on measuring saccade latency using video recordings from consumer-grade devices. She was a recipient of the MIT Presidential Fellowship in 2016.

Mehul Tikekar received the B.Tech degree in Electrical Engineering from the Indian Institute of Technology Bombay, Mumbai, India, in 2010, and the S.M. and Ph.D. degree in Electrical Engineering from the Massachusetts Institute of Technology, Cambridge, MA, in 2012 and 2017, respectively. His Ph.D. research focused on circuits, architectures and algorithms for video coding. He was a recipient of the MIT Presidential Fellowship in 2011. In August 2017, he joined Analog Devices as a Research Scientist and Engineer.

Yannan Wu received the B.S. degree in Electrical and Computer Engineering from Cornell University, Ithaca, NY, in 2017 and the S.M. and Ph.D. degree in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology, Cambridge, MA, in 2020 and 2023, respectively. Her Ph.D. research focused on the design and modeling of efficient accelerators for tensor algorithms, such as deep neural networks. Yannan was a recipient of the MIT Presidential Fellowship in 2017 and IEEE/ACM International Symposium on Microarchitecture Distinguished Artifact Award in 2022. In June 2023, she joined Google as a Machine Learning Hardware Accelerator Modeling Engineer.

Tien-Ju Yang received the B.S. degree in Electrical Engineering from National Taiwan University, Taiwan, in 2010, and the M.S. degree in Electronics Engineering from National Taiwan University, Taiwan, in 2012. He received the S.M. and Ph.D. degrees in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology, Cambridge, MA, in 2018 and 2020, respectively. Between 2012 and 2015, he worked in the Intelligent Vision Processing Group, MediaTek Inc., Taiwan, as a software engineer. His Ph.D. research focused on hardware-aware approaches for designing efficient deep neural networks. In September 2020, he joined Google as a Research Scientist.

Zhengdong Zhang received the B.S. in Computer Science in 2011 from Tsinghua University, Beijing, China. He received the S.M. and Ph.D. degree in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology, Cambridge, MA, in 2014 and 2019, respectively. His Ph.D. research focused on efficient computing for autonomous navigation using algorithm and hardware co-design. He was a recipient of the David S. Y. Wong Fellowship at MIT in 2012. In February 2019, he joined Google Brain as a Research Scientist.