Assistant Professor, Electrical and Computer Engineering
2004: B.S.¬†in Electrical Engineering, Huazhong University of Science and Technology¬†
2004: B.S.¬†in Computer¬†Science, Wuhan University
2007: M.S.¬†in Electrical Engineering, Huazhong University of Science and Technology
2017: Ph.D. in Electrical and Computer Engineering,University¬†of Illinois at Urbana-Champaign
Energy-efficient machine learning systems for cloud and mobile computing.
Yingyan Lin is an Assistant Professor in the Department of¬†Electrical and Computer Engineering¬†at Rice University. Her research focuses on energy-efficient machine learning systems for edge and cloud computing. She is leading the¬†Efficient and Intelligent Computing (EIC) Lab¬†at Rice,¬†which is exploring algorithm-, architecture-, and circuit-level techniques to develop machine learning systems for 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. From 2007 to 2009, she worked at China‚Äôs National Research Center for Integrated Circuits in Wuhan, where she designed three analog and mixed-signal circuit IPs for large panel displays that were acquired by¬†TOSHIBA Microelectronics Corporation¬†in Japan. From 2009 to 2011, she was a visiting scholar at the University of Illinois at Urbana-Champaign.
Dr. Lin has been working on analog and mixed-signal circuits, error resiliency techniques, and VLSI circuits and architectures for machine learning systems on resource-constrained platforms. She was the recipient of the second place Best Student Paper Award at the 2016 IEEE International Workshop on Signal Processing Systems (SiPS 2016) and the 2016 Robert T. Chien Memorial Award at UIUC for Excellence in Research.