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Chang Gao is a tenured assistant professor in the Department of Microelectronics at Delft University of Technology. He specializes in electronic circuits and architectures, focusing on the design of energy-efficient digital AI hardware for real-time deep neural network inference and learning at the edge. Dr. Gao aims to advance technologies in AI hardware, integrating machine learning applications with neuromorphic computing systems. His academic journey included obtaining a PhD with distinction at the Institute of Neuroinformatics, University of Zurich, ETH Zurich. His research interests encompass digital circuit design, artificial intelligence hardware, deep learning, and neuromorphic computing. Gao actively contributes to the academic community, serving as a member of the Technical Programme Committee for the ESSERC 2026 conference and as an inaugural committee member for the Technical Committee on Machine Learning Circuits and Systems within the IEEE Circuits and Systems Society. He leads the Lab of Efficient Machine Intelligence, where he mentors students and conducts pioneering research in the field.
Department of Microelectronics, TU Delft • Delft, Netherlands
Tenured assistant professor focusing on electronic circuits architectures and energy-efficient digital AI hardware.
Requirements apply generally across engineering and science master programs. Specific tracks like Architecture require a digital portfolio.