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 real-time deep neural network inference and learning on edge devices.
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: 10 Oct 2025
Chang Gao
MSc students
- Navya Agarwal (ELCA)
- Siddharth Patil (ELCA)
Alumni
- Qian Kun (ELCA) (2025)
- Chen Bao (ELCA) (2025)
- Manno Versluis (ELCA) (2025)
- Arne de Beer (ELCA) (2025)
- Huanqiang Duan (ELCA) (2025)
- Tao Han (ELCA) (2025)
- Ruishen Yang (ELCA) (2025)
- Haolin Wu (ELCA) (2024)
- Sjoerd Groot (ELCA) (2024)
- Xinyu Liao (ELCA) (2024)
- Peng Fu (ELCA) (2023)
- Yuhang Jian (ELCA) (2023)
- Yizhuo Wu (ELCA) (2023)