I am an Assistant Professor in the Department of Advanced Computing Sciences at Maastricht University. My research in Edge AI and Neuromorphic Computing develops cost-effective, brain-inspired computing paradigms to tackle the high expenses of modern AI systems. I also have extensive research and industry experience in hardware-aware optimization and reinforcement learning, focusing on practical applications in edge computing and robotics.
Before joining academia, I was a researcher at imec, the world-leading research & innovation center for nanoelectronics and digital technologies. I was a core member at imec advancing the SENECA neuromorphic processor, event-based neural networks, and the corresponding software. I completed my PhD at Rutgers University in the United States, advised by Dr. Konstantinos Michmizos. During my PhD, I bridged robotics and brain science by developing robust, efficient, and adaptive brain-inspired Spiking Neural Networks (SNNs) that address a wide spectrum of robotics challenges on neuromorphic processors.
PhD in Computer Science, 2022
Rutgers, the State Univerisity of New Jersey
MSc in Computer Science, 2017
Rutgers, the State Univerisity of New Jersey
BSc in Computer Science, 2015
Nanjing University