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Chang Gao is currently a tenure-track Assistant Professor at the Department of Microelectronics, TU Delft, leading his research group, Lab of Efficient circuits & systems for Machine Intelligence (EMI, www.tudemi.com). He obtained his Ph.D. degree with distinction from the Institute of Neuroinformatics (INI), University of Zurich and ETH Zurich, in March 2022.
His research interest is designing energy-efficient digital neuromorphic AI hardware for edge computing, emphasizing high-speed communication, video/audio processing, robotics, and biomedical applications.
He recently received the 2022 Mahowald Early Career Award for Neuromorphic Engineering and the 2023 MIT Technology Review Innovators Under 35 Europe title for his contribution to designing hardware and software to realize massive speedup of RNN computing using neuromorphic principles.
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