Texas Instruments Visiting Research Assistant Professor, Electrical and Computer Engineering
2004: B.S.Â in Electrical Engineering, Huazhong University of Science and TechnologyÂ
2004: B.S.Â in ComputerÂ Science, Wuhan University
2007: M.S.Â in Electrical Engineering, Huazhong University of Science and Technology
2017: Ph.D. in Electrical and Computer Engineering,UniversityÂ of Illinois at Urbana-Champaign
Energy-efficient machine learning systems for cloud and mobile computing.
Yingyan Lin received the Ph.D. degree in electrical and computer engineering from the University of Illinois at Urbana-Champaign in 2017 and the B.S. and M.S. degrees in electrical engineering from Huazhong University of Science and Technology, Wuhan, China, in 2004 and 2007, respectively. From 2007 to 2009, she worked at Chinaâ€™s National Research Center for Integrated Circuits in Wuhan, where she designed analog and mixed-signal circuit IPs for TOSHIBA Microelectronics Corporation in Japan. From 2009 to 2011, she was a visiting scholar at the University of Illinois at Urbana-Champaign.
Dr. Linâ€™s research interests include 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.