Zhiguang Cao bio photo

Zhiguang Cao

Scientist, Singapore Institute of Manufacturing Technology (SIMTech), Agency for Science Technology and Research (A*STAR).

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About Me


I am currently a Scientist with the Singapore Institute of Manufacturing Technology (SIMTech), Agency for Science Technology and Research (A*STAR). Previously, I was a Research Assistant Professor with the Department of Industrial Systems Engineering and Management, National University of Singapore (NUS), and a Research Fellow with the BMW@NTU Future Mobility Lab, Nanyang Technological University (NTU). I received the PhD from Interdisciplinary Graduate School & School of Computer Science and Engineering, and the M.Sc from School of Electrical and Electronic Engineering, NTU. I received the B.Eng in Automation from Guangdong University of Technology (GDUT), China.


Research Interests


Recently, my interests focus on Neural Combinatorial Optimization (NCO), where we exploit Deep Reinforcement Learning to solve the classic Combinatorial Optimization Problems, such as Vehicle Routing Problem, Job Shop Scheduling Problem, Bin Packing Problem, Constraint Satisfaction Problem, and (Mixed) Integer Programming Problem. It is a hot topic for both AI and Operations Research, quite interesting yet challenging. Welcome to use our CODE .

  • Artificial Intelligence: Deep Reinforcement Learning, Deep Learning
  • Combinatorial Optimization: Routing, Scheduling, Packing; (Mixed) Integer Programming
  • Applications: Transportation, Robotics



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