Meng Xu (许萌)
Current Position
Professor in AI Scheduling and Evolutionary Computation
I am a professor in the School of Automation at Beijing Institute of Technology (北京理工大学自动化学院) and a member of the State Key Lab of Autonomous Intelligent Unmanned Systems (自主智能无人系统全国重点实验室). My research develops evolutionary computation, genetic programming, reinforcement learning, and data-driven optimization methods for dynamic scheduling and decision making.
Before joining Beijing Institute of Technology (北京理工大学), I worked as a Scientist at SIMTech, A*STAR, Singapore, while holding a joint postdoctoral appointment at Nanyang Technological University.
Research / 研究
Learning robust decision rules for complex scheduling systems
Dynamic Scheduling
Learning dispatching rules and adaptive policies for flexible job shops, workflows, fog computing, and manufacturing operations.
Evolutionary Learning
Designing genetic programming, quality diversity, niching, and multi-objective search methods for interpretable scheduling heuristics.
Decision Optimization
Combining optimization and machine learning for inventory control, replenishment, transshipment, and industrial decision making.
Latest / 动态
Recent Updates
- My coauthors Yi Mei, Fangfang Zhang, Mengjie Zhang, and I received the 2027 IEEE Computational Intelligence Magazine Outstanding Paper Award for our GP-RL comparison paper on learning heuristics for dynamic scheduling. View award details.
- EvoSpeak was accepted for publication in IEEE Transactions on Evolutionary Computation.
- Joined the School of Automation, Beijing Institute of Technology (北京理工大学自动化学院) as a professor and became a member of the State Key Lab of Autonomous Intelligent Unmanned Systems (自主智能无人系统全国重点实验室).
- The publication list was updated with work on diverse partner selection, multitask genetic programming, and inventory policy optimization.
- Received funding through the Excellent Young Scientists Fund Project (Overseas), China.
- A scheduling paper was selected as a Popular Paper by IEEE Transactions on Evolutionary Computation, and the GP-RL comparison article received Research Frontier recognition.
- Completed a PhD at Victoria University of Wellington.
Background / 经历
Appointments and Training
- Professor, School of Automation, Beijing Institute of Technology (北京理工大学自动化学院), China; member of the State Key Lab of Autonomous Intelligent Unmanned Systems (自主智能无人系统全国重点实验室); affiliated with Control Science and Engineering (控制科学与工程) and Pattern Recognition and Intelligent Systems (模式识别与智能系统).
- Scientist, Singapore Institute of Manufacturing Technology (SIMTech), A*STAR, Singapore.
- Postdoctoral Research Fellow (joint appointment), Nanyang Technological University, Singapore.
- PhD in Computer Science, Victoria University of Wellington, New Zealand.
- MSc in Control Science and Engineering, Beijing Institute of Technology (北京理工大学), China.
- BSc in Automation, Beijing Institute of Technology (北京理工大学), China.