Xilin Liu

Xilin Liu is an Assistant Professor at the Edward S. Rogers Sr. Department of Electrical & Computer Engineering (University of Toronto) and the Center for Advancing Neurotechnological Innovation to Application (CRANIA). He obtained his PhD from the University of Pennsylvania and previously worked at Qualcomm Inc. in California.

• Expertise in integrated circuits and systems for brain-machine interfaces, neuromodulation, and edge AI
• Published in top venues including Nature Electronics, IEEE JSSC, and ISSCC
• Recipient of multiple best paper awards and IEEE Senior Member

His research spans three main themes:

• High-speed data converters for wireless/wireline communication
• IC design for neural interfacing
• Accelerating machine learning via hardware

Recent publications focus on closed-loop neuromodulation, ultra-wideband transceivers, and flexible biomedical sensors. These works integrate analog IC design, edge AI, and real-time neural interfacing across medical rehabilitation, parkinson's monitoring, and memory research.

Awards include:

• IEEE Solid-State Circuits Society Predoctoral Achievement Award (2016)
• Best Paper Award at BioCAS (2015)
• ECE Department Teaching Award (2022)
• Multiple conference best paper finalists

His lab collaborates with UHN, EMBS, and global institutions while maintaining strong commitments to equity, diversity, and inclusion (EDI) in research practices.