- 2023 Humies SILVER Award: “Learning Emergency Medical Dispatch Policies via Genetic Programming”, presented at GECCO 2023 ($2,000 USD)
- Best Paper Award: “Grammar-guided Linear Genetic Programming for Dynamic Job Shop Scheduling” at GECCO 2023
- New book published: “Genetic Programming for Production Scheduling: An Evolutionary Learning Approach”, Springer
- Other awards include Best Presentation Awards, Best Poster Awards, etc.
Research Experience
Currently serving as a Lecturer in Artificial Intelligence at Victoria University of Wellington and involved in multiple research projects.
Education
B.Sc. from Shenzhen University, 2014; M.Sc. from Shenzhen University, 2017; Ph.D. in Computer Science from Victoria University of Wellington, 2021.
Background
Research Interests: Job shop scheduling, hyper-heuristic learning/optimisation, artificial intelligence, machine learning, evolutionary computation, particularly genetic programming, transfer learning, multitask optimisation, multi-objective optimisation, feature selection, surrogate, genetic operators. Biography: Dr. Fangfang Zhang (Member, IEEE) is a Lecturer in Artificial Intelligence with the Centre for Data Science and Artificial Intelligence & School of Engineering and Computer Science, Victoria University of Wellington.
Miscellany
Personal motto: For doing research, “Think Big, Start Small, Move Fast!”