Guangzhi Tang
Assistant Professor at Maastricht University
Maastricht, Limburg, Netherlands
Summary
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Senior🎓
Top SchoolGuangzhi Tang is an Assistant Professor at Maastricht University's Department of Advanced Computing Sciences, specializing in Edge AI and neuromorphic computing with a decade of research and industry experience. He builds cost-effective, brain-inspired computing paradigms—spanning spiking neural networks, event-based neural networks, and hardware-aware optimization—to enable efficient AI on edge devices and robots. Before academia he was a core researcher at imec contributing to the SENECA neuromorphic processor and its software stack, and he interned at Intel Labs during his PhD at Rutgers. His work uniquely bridges robotics, brain science, and practical deployment constraints, emphasizing reinforcement learning and hardware-conscious methods. Based in Maastricht, he combines deep theoretical grounding with hands-on systems development to push neuromorphic solutions toward real-world impact.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Science (B.S.), Computer Science, Bachelor of Science (B.S.), Computer Science at Nanjing UniversityDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Rutgers University
Github Skills (5)
electrophysiology7
intel6
neurons6
neuroscience5
computational-neuroscience1
Programming languages (1)
Github contributions (5)
combra-lab/combra_loihi
Oct 2018 - Dec 2020
Α neuromorphic computing library for introducing astrocytes to Intel's Loihi chip
Contributions:13 commits, 3 pushes in 2 years 2 months
neuroscienceintelneuronsneuromorphicneuromorphic-computing
combra-lab/spiking-ddpg-mapless-navigation
Jul 2020 - Oct 2021
Contributions:9 commits, 4 pushes, 4 comments in 1 year 4 months
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