CV
Education
- PhD in Computer Science, Victoria University of Wellington, New Zealand, Nov 2020 - Jul 2024
- Supervisors: Yi Mei, Fangfang Zhang, and Mengjie Zhang
- MSc in Control Science and Engineering, School of Automation, Beijing Institute of Technology, China, 2017 - 2020
- Recommended admission for graduate study
- BSc in Automation, School of Automation, Beijing Institute of Technology, China, 2013 - 2017
Professional Experience
- Apr 2026 - Present: Professor, School of Automation, Beijing Institute of Technology, China
- Research on evolutionary computation, reinforcement learning, and intelligent optimization for scheduling and decision making.
- Jul 2024 - Mar 2026: Scientist, Singapore Institute of Manufacturing Technology (SIMTech), Agency for Science, Technology and Research (A*STAR), Singapore
- Research and development on AI-driven optimization and scheduling methods for intelligent manufacturing.
- Oct 2024 - Mar 2026: Joint-appointment Postdoctoral Research Fellow, Nanyang Technological University, Singapore (NTU Singapore)
- Supervisor: Professor Yew-Soon Ong
- Research on evolutionary learning and intelligent scheduling.
- Oct 2020 - Apr 2022: Algorithm Engineer, Zhejiang Lab, China
- Built a dynamic workflow scheduling simulator for multi-robot cloud-side scenarios.
- Proposed a genetic programming approach for workflow scheduling.
- Jul 2019 - Sep 2019: Algorithm Engineer, Alibaba, China
- Developed a real-time pedestrian detection and tracking pipeline using RGB-D data.
- Evaluated the method in supermarket traffic monitoring settings.
Selected Publications
Skills
- Languages: Java, Python, R, LaTeX, C++
- Tools: Git/GitHub, IntelliJ IDEA/PyCharm, Microsoft Office
Talks
- Nov 2023: Queensland University, Brisbane, Australia
- Paper presentation at AJCAI.
- Poster presentation at the AJCAI PhD Forum; received Best Poster Runner-up and a 500 AUD award.