I am an Assistant Professor in the Edward S. Rogers Sr. Department of Electrical & Computer Engineering, University of Toronto, Canada. I direct the X-lab, which is a diverse team of people who build integrated circuits (IC) and systems that aim to improve the lives of millions, if not billions, of people. I am an affiliated scientist at the University Health Network, KITE Resesrch Institute. I am also affiliated with the Centre for Analytics and Artificial Intelligence Engineering (CARTE) and the Center for Advancing Neurotechnological Innovation to Application (CRANIA). I obtained my Ph.D. degree under the supervision of Prof. Jan Van der Spiegel at the University of Pennsylvania, USA. Before joining the University of Toronto, I spent five years working at Qualcomm Inc., USA.
My research expertise includes analog and mixed-signal IC design, vertical system integration, and edge artificial intelligence (AI). My current research develops ICs and systems for advancing brain health, digital communication, and machine learning acceleration [see my publications]. My industrial experience includes contributions to a series of top-tier IC products including the world's first commercial 5G chipset. I have received the IEEE Solid-State Circuit Society (SSCS) 2016 Predoctoral Achievement Award. My first author papers have received 3 Best Papers Awards on top conferences. I was also the recipient of the Student-Research Preview Award of the 2014 IEEE International Solid-State Circuits Conference (ISSCC).
*** (New) I have 3-4 openings for graduate students joining in 2023/2024. *** If you are interested in my research or joining my team, please do not hesitate to contact me at firstname.lastname@example.org. For prospective students and research fellows, please check our openings.
Links: [UofT Faculty Directory] [UHN Scientist Directory] [Google Scholar] [ResearchGate] [Email]
My current research focuses on developing integrated circuits (ICs) and systems for advancing human health, wireless and wireline communication, and edge machine learning. I conduct interdisciplinary research on the following three themes:
Theme 1: Electronics for Neural Interfacing and Neuromodulation
Theme 2: High-performance Data Converters for Wireless and Wireline Communication
Theme 3: IC Design for Accelerating Edge Machine Learning
Currently, I conduct research at the University of Toronto in collaboration with multiple faculty members in the Faculty of Applied Science & Engineering and the University Health Network (UHN), industrial partners, and researchers around the world.
Learn more about my research projects and publications.