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Room: C87
weiyao.meng@nottingham.ac.uk
For teaching related issues:
weiyao.meng2@nottingham.ac.uk
I am currently a Teaching Associate in the School of Computer Science at the University of Nottingham. My main research interests now focus on automated algorithm design and decision support for Smart Transport and Smart Energy with AI techniques.
Area of interest: Automated Algorithm Design, Hyper-heuristics, Vehicle Routing, Smart Transportation and Combinatorial Optimization.
Bachelor in Computer Science and Technology from Shandong Normal University(China), 2012-2016. My Bachelor thesis is about the Methods for the Community Detection of Complex Network, supervised by Profossor Hong Wang.
Master in Advanced Software Engineering from King's College London, 2016-2017. My master thesis is How Good are Satisfycing Planners at Optimal Planning, supervised by Dr. Amanda Coles
PhD in Computer Science from University of Nottingham, 2018-2023. My thesis is titled Automated Design of Local Search Algorithms for Vehicle Routing Problems with Time Windows, supervised by Prof. Rong Qu and Prof. Dario Landa-Silva.
My Ph.D. project mainly investigates the automated design of local search algorithms with machine learning and data mining techniques, taking the vehicle routing problems with time windows as a testbed.
I was a Research Assistant in the Amicable Charging (AMiCC) research project, delivering eco-friendly wireless charging solutions for electric vehicles, with a focus on optimizing the charging infrastructure. The project was led by Professor Lucelia Rodrigues (University of Nottingham).
I recently completed a KTP project as a KTP Associate to develop and deploy novel and advanced hyper-heuristics-based routing technologies for haulage markets. The project was led by Professor Ender Ozcan (University of Nottingham), Dr Ahmed Kheiri (Lancaster University), and Optrak, supported by KTP Scheme under Project No.KTP11692.
My main research interests now focus on Automated Algorithm Design, Hyper-heuristics, Vehicle Routing, and Combinatorial Optimisation.
Co-convener for the module COMP1008 Fundamentals of Artificial Intelligence (Jan.2023-Aug.2023)
Teaching support for the modules as listed
• COMP 1001 Mathematics for Computer Scientists
• COMP 1005 Programming and Algorithms
• COMP 1006 Systems and Architecture
• COMP 1007 Computer Fundamentals
• COMP 2007 Operating Systems & Concurrency
• COMP 2013 Developing Maintainable Software
• COMP 4030 Data Modelling and Analysis
• COMP 4038 Simulation and Optimisation for Decision Support
| • Meng, Weiyao*, and Rong Qu. "Automated design of local search algorithms: Predicting algorithmic components with LSTM." Expert Systems with Applications (2023): 121431, DOI: 10.1016/j.eswa.2023.121431 | |
| • Meng, Weiyao*, and Rong Qu. "Sequential rule mining for automated design of meta-heuristics." In Genetic and Evolutionary Computation Conference Companion (GECCO ’23 Companion), July 15–19, 2023, Lisbon, Portugal. PDF | |
| • Meng, Weiyao*, and Rong Qu. "Automated design of search algorithms: Learning on algorithmic components." Expert Systems with Applications (2021): 115493. PDF, DOI: 10.1016/j.eswa.2021.115493 | |
| • Chen, Li, Weiyao Meng, and Hong Liu. "Rectification Algorithm from Single Image Based on the Main Vanishing Points." JOURNAL OF INFORMATION AND COMPUTATIONAL SCIENCE 12.7: 2871-2880. |
• IEEE Transactions on Evolutionary Computation
• Engineering Applications of Artificial Intelligence
• Journal of the Operational Research Society
• Computers and Operations Research
• PeerJ Computer Science
• Organiser of the ML4VRP Competition of The Genetic and Evolutionary Computation Conference(GECCO’2023) , Lisbon, Portugal, July 15th-19th, 2023.
• Member of Task Force on Automated Algorithm Design, Configuration and Selection (AADCS) at IEEE Computational Intelligence Society.
• Member of Association for Computing Machinery (ACM) SIGEVO.
• Candidate Associate of The Operational Research Society