Contact
Biography
Weiyao Meng is a Research Fellow with the N/Lab at Nottingham University Business School and a Data Scientist (KTP Associate) at Strategic Innovation Ltd. Her research interests center on AI-driven decision support systems for automating complex computational tasks and workflows.
Her PhD focuses on automated algorithm design using machine learning and data mining techniques, with vehicle routing problems with time windows as the primary testbed. She has also worked on real-world transportation optimisation challenges using machine learning and data science methods, including the Amicable Charging (AMiCC) project for electric-vehicle charging optimisation and a KTP project deploying advanced hyper-heuristic routing technologies.
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.
Teaching Summary
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.
Research Summary
Areas of Interest
-
Methods and Techniques: Hyper-heuristics, evolutionary computation, machine learning, NLP, agentic AI systems, and automated algorithm design.
-
Application Focus: AI-driven decision support systems that automate complex computational tasks and workflows, enabling humans or agents to make more informed and effective decisions.