Ph.D. in Electrical and Computer Engineering, University of Illinois at Urbana-Champaign
M.S. in Electrical Engineering, Huazhong University of Science and Technology
B.S. in Electrical Engineering, Huazhong University of Science and Technology
Embedded machine learning; Energy-efficient/Real-time machine learning systems for resource-constrained platforms
Yingyan Lin is an Assistant Professor in the Department of Electrical and Computer Engineering at Rice University. She leads the Efficient and Intelligent Computing (EIC) Lab at Rice, which is exploring techniques to enable powerful yet complex machine learning systems to be deployed into resource-constrained platforms. Yingyan Lin received a Ph.D. degree in electrical and computer engineering from the University of Illinois at Urbana-Champaign in 2017, where her Ph.D works have contributed to SONIC research center, one of the five centers that are established by DARPA’s $194 million STARnet program. From 2007 to 2009, she worked at one of China’s National Research Centers for Integrated Circuits, where she designed IPs for large panel displays that were acquired by TOSHIBA Microelectronics Corporation in Japan.
She received a Best Student Paper Award at the 2016 IEEE International Workshop on Signal Processing Systems (SiPS 2016) and the 2016 Robert T. Chien Memorial Award for Excellence in Research, and was named a Rising Star in EE/CS by Stanford University in 2017. She is a recipient of the National Science Foundation (NSF) NeTS Award (2018), the NSF SCH Award (2018), and Office of Naval Research (ONR) N00014-19-1-2440 GRANT AWARD.