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Rong Qu, PhD, BSc

Rong Qu

School of Computer Science
University of Nottingham
Nottingham, NG8 1BB, UK
rong.qu AT nottingham.ac.uk
My CV and profiles at
GoogleScholar   ResearchGate
LinkedIn   research.com
Real world applications:
  • Transport Logistic Scheduling, Vehicle Routing
  • Cyber Security for Connected and Autonomous Vehicles (CAVs)
  • Personnel Scheduling, Portfolio Optimization, Multicast Network Routing, Timetabling
    AI Algorithms / techniques:
  • Automated Algorithm Design; Hyper-heuristics; Evolutionary Computation
  • Machine Learning; Data Mining; Knowledge Discovery
  • Constraint Programming; Integer Programming, Case Based Reasoning

  • Quick links:
  • PhD studentship: Pathways to Net Zero: Assessing Technical Potential for Community Adoption of Decentralized Energy in Chetwynd. Application deadline: 15 December 2023, Start date: 1 APril 2024.
  • Hyper-Heuristics: Theory and Applications, Springer, 2018.
  • Automated Design of Machine Learning and Search Algorithms. Springer, 2022.
  • Hyper-Heuristics: Theory and Applications, Springer, 2018.
  • A Graph-Based Hyper-Heuristic for Educational Timetabling Problems. EJOR, 176: 177-192, 2007. EJOR 2007-2011 top cited article Award
  • The General Combinatorial Optimisation Problem - Towards Automated Algorithm Design. IEEE CI Magazine, 15(2): 14-23, May, 2020. pdf. GCOP Google site
  • Special Issues on
    - Multi-objective Evolutionary Optimisation in Machine Learning IEEE TEVC, 2023.
    - Automation in AI and Machine Learning. 43(9), Transactions on Pattern Analysis and Machine Intelligence, Sept 2021.
    - Automated Design of Machine Learning and Search Algorithms. IEEE Comp. Int. Mag. 13(2), May 2018.
  • Book cover Book cover
  • Benchmark Datasets: Cyber Security for Connected & Autonomous Vehicles; Maritime Port Optimisation; Nurse Rostering; Exam Timetabling; Multicast Network Routing
  • "Outstanding" KTP project Award: "Routing and Rostering in Healthcare Workforce Management"