dr. C Gao
Electronic Circuits and Architectures (ELCA), Department of Microelectronics
Expertise: Digital Circuit Design, AI Hardware, Deep Learning, Neuromorphic Computing
Themes: XG - Next Generation Sensing and CommunicationBiography
Dr. Chang Gao is a tenured assistant professor at the Department of Microelectronics, TU Delft, where he leads the Lab of Efficient 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 principles to compress artificial neural network models to make them more efficient while maintaining competitive accuracy on real-world tasks.
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:
EE2C2 Mixed-Signal Circuits and Systems
EE4C13 Wireless systems for electrical engineering applications
Commonly used RF electronics architectures in wireless systems, with the requirements on their building blocks.
EEX05 Chip Design
BSc 2nd year elective
ET4351 Digital VLSI Systems on Chip
How to design, connect and implement large macro IP blocks that constitutes a system on chip
NWO Veni: Energy-Efficient Real-Time Edge Intelligence for Wearable Healthcare Devices
Last updated: 16 Apr 2025
