Yingyan (Celine) 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 focuses on embedded machine learning and aims to develop techniques towards green AI and ubiquitous machine learning powered intelligence. She received a Ph.D. degree in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign in 2017, 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 at UIUC. She was selected as a Rising Star in EECS by the 2017 Academic Career Workshop for Women at Stanford University. Dr. Lin is currently the lead PI on multiple multi-university projects and her group has been funded by NSF, NIH, ONR, Qualcomm, and Intel.
WEBSITE(S)| EIC Lab | Machine Learning
Education
2017, Ph.D. in Electrical and Computer Engineering, University of Illinois at Urbana-Champaign
2007, M.S. in Electrical Engineering, Huazhong University of Science and Technology
2004, B.S. in Electrical Engineering, Huazhong University of Science and Technology
Honors & Awards
2021 Facebook Research Award
2021 IBM Faculty Award
2021 NSF Career Award
2017 Rising Star in EE/CS, Stanford University
2016 Best Paper Award, IEEE International Workshop on Signal Processing Systems
2016 Robert T. Chien Memorial Award for Excellence in Research