Weiyao Meng received her MSc from King's College London, UK and graduated from Shandong Normal University, China. She is a Teaching Associate in the School of Computer Science at the University of Nottingham. She is currently pursuing her PhD in automated design of search algorithms at the Computational Optimization and Learning (COL) Lab at the University of Nottingham.
She was a Research Assistant in the Amicable Charging (AMiCC) research project, delivering eco-friendly wireless charging solutions for electric vehicles, focusing on optimizing the charging infrastructure.
She recently completed a KTP project as a KTP Associate to develop and deploy novel and advanced hyper-heuristics-based routing technologies for haulage markets.
She has also served as a reviewer for leading journals including IEEE Transactions on Evolutionary Computation, Engineering Applications of Artificial Intelligence, and Journal of the Operational Research Society.
Modules conveyed: Fundamentals of Artificial Intelligence and support the modules (as co-convenor)
Modules supported: Mathematics for Computer Scientists, Programming and Algorithms, Systems and Architecture, Computer Fundamentals, Operating Systems & Concurrency, Developing Maintainable Software, Simulation and Optimisation for Decision Support, and Data Modelling and Analysis.
Thesis: Automated Design of Local Search Algorithms for Vehicle Routing Problems with Time Windows
Weiyao's main research interests now focus on automated algorithm design and decision support for Smart Transport and Smart Energy with AI techniques.
- Real world applications:
- Transport Logistic Scheduling and Vehicle Routing
- AI Algorithms / techniques:
- Automated Algorithm Design; Hyper-heuristics; Evolutionary Computation
- Machine Learning; Data Mining; Knowledge Explainability