Research Areas: Algorithm and/or Accelerator Innovations for Efficient Machine Learning Systems
Yingyan (Celine) Lin is currently an Associate Professor in the School of Computer Science at the Georgia Institute of Technology. She leads the Efficient and Intelligent Computing (EIC) Lab, which focuses on developing efficient machine learning systems via cross-layer innovations, from algorithm to architecture down to chip design, aiming to promote green AI and enable 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.
Lin is an NSF CAREER Award, IBM Faculty Award, and Meta Faculty Research Award recipient, and recently received the ACM SIGDA Outstanding Young Faculty Award. Her group’s research has won first place in both the University Demonstration at DAC 2022 and the ACM/IEEE TinyML Design Contest at ICCAD 2022.