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.
Weiyao currently teaches the module Fundamentals of Artificial Intelligence and support the modules Simulation and Optimisation for Decision Support, and Data Modelling and Analysis.
Modules Weiyao has supported: Mathematics for Computer Scientists, Programming and Algorithms, Systems and Architecture, Computer Fundamentals, Operating Systems & Concurrency, and Developing Maintainable Software.
Weiyao's PhD mainly investigates the automated design of local search algorithms for vehicle routing problems with machine learning techniques. Her main research interests focus on… read more
Weiyao's PhD mainly investigates the automated design of local search algorithms for vehicle routing problems with machine learning techniques. Her main research interests focus on heuristic,hyper-heuristic and metaheuristic optimisation techniques supported by machine learning for real-world optimization and decision support.
Keywords: Automated Algorithm Design, Hyper-heuristics, Vehicle Routing, and Combinatorial Optimization.