Meixin Zhu
Professor at Southeast University
Nanjing City, Jiangsu, China
Summary
👤
Senior🎓
Top SchoolMeixin Zhu is a tenure-track Professor in intelligent transportation systems with eight years of experience bridging academic research and industry practice in autonomous driving, 3D computer vision, and traffic signal control. Trained with a PhD from the University of Washington and MS from Georgia Tech, she has held research and applied roles at Motional, Amazon, and Tongji, bringing production-oriented machine learning into transportation problems. Her work spans data-driven traffic modeling, safety-focused autonomy, and AI-enabled infrastructure, and she continues to translate cutting-edge research into real-world deployments. Based in Nanjing, she combines deep technical expertise with cross-institutional collaboration across Hong Kong and mainland China, often focusing on pragmatic solutions that accelerate the path from lab prototypes to operational systems.
8 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy - PhD Autonomous Driving 3D Computer Vision Traffic Signal Control Intelligent Transportation System, Doctor of Philosophy - PhD Autonomous Driving 3D Computer Vision Traffic Signal Control Intelligent Transportation System at University of WashingtonMaster of Engineering - MEng Transportation Engineering, Master of Engineering - MEng Transportation Engineering at Tongji UniversityMaster of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of Technology
Stackoverflow
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Github Skills (26)
model-predictive-control9
ddpg9
velocity8
reinforcement-learning8
logistics7
autonomous-driving7
deep-reinforcement-learning7
actor-critic6
monte-carlo-tree-search6
decision-making6
pressure5
pyzmq5
sac5
pytorch4
transport4
Programming languages (3)
Github contributions (5)
MeixinZhu/MeixinZhu.github.io
Oct 2017 - Dec 2022
Contributions:285 commits, 285 pushes, 1 branch in 5 years 2 months
MeixinZhu/Velocity_control
May 2020 - Jan 2023
Source code for paper "Safe, Efficient, and Comfortable Velocity Control based on Reinforcement Learning for Autonomous Driving"
Contributions:10 commits, 2 PRs, 9 pushes in 2 years 7 months
velocity-controlautonomousddpgreinforcement-learningadaptive-cruise-control
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