Office: BA 5108
Xilin Liu obtained his PhD degree from the University of Pennsylvania. Before joining the faculty at the University of Toronto in 2021, he spent five years working at Qualcomm Inc. in California, where he contributed to the research and development of a series of cutting-edge integrated circuit (IC) products in high-volume production. He was a visiting scholar at Princeton University in 2014.
Professor Liu’s research focuses on IC and system design with edge machine learning. He is particularly interested in advancing electronic technologies for health care. His group has developed implantable and wearable devices for clinical diagnosis and therapies, brain-machine interface (BMI), as well as human-computer interaction. He has co-authored two books along with publications in Nature Electronics, Proceedings of the National Academy of Sciences of the United States of America (PNAS), and top-tier IEEE Transactions. His first-author papers have received three Best Paper Awards at renowned international conferences.
- Best Paper Award (1st place): 11th IEEE Biomedical Circuits and Systems Conference, 2015
- Best Student Paper Award: 50th IEEE International Symposium on Circuits and Systems, 2017
- Best Paper Award (biomedical track): 47th IEEE International Symposium on Circuits and Systems, 2014
- Predoctoral Achievement Award: IEEE Solid-State Circuits Society, 2016
- Finalist: International Brain-Computer Interface (BCI) Award, 2018
- Member of IEEE
- Member of IEEE Solid-State Circuits (SSC) Society
- Member of IEEE Circuits and Systems (CAS) Society
- Member of IEEE Engineering in Medicine and Biology (EMB) Society
- Member of IEEE Brain Community