dr. C Gao

Expertise: Digital Circuit Design, AI Hardware, Deep Learning, Neuromorphic Computing

Dr. Chang Gao is a tenured assistant professor at the Department of Microelectronics, TU Delft, where he leads the Lab of Efficient circuits & systems for Machine Intelligence (EMI). He obtained his PhD with distinction from the Institute of Neuroinformatics, University of Zurich and ETH Zurich.

His research focuses on designing energy-efficient digital AI hardware for edge computing, emphasizing wireless communication, video/audio processing, and healthcare applications. He applies brain-inspired neuromorphic principles to bridge the gap between artificial neural networks (ANNs) and spiking neural networks (SNNs), achieving massive acceleration and competitive accuracy on real-world tasks. He has published in journals including TNNLS, JSSC, JETCAS, TCAS-I, TVLSI, etc., and conferences including FPGA, ISSCC, IEDM, ISCAS, AICAS, ICRA, AAAI, etc., and received the Best Paper Award at the 2020 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS).

He is a co-recipient of the 2020 Misha Mahowald Prize for Neuromorphic Engineering and the 2022 Mahowald Early Career Award in Neuromorphic Engineering. He recently secured the 2022 Marie Skłodowska-Curie Postdoctoral Fellowship and was named a 2023 MIT Technology Review Innovator Under 35. He is a Dutch Research Council (NWO) Veni 2024 Laureate.

Links:

• Research Group Website
• Master Projects
• Google Scholar
• YouTube Channel (All my demos)
• LinkedIn

Last updated: 26 Jul 2024