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Rong Qu, PhD, BSc

Rong Qu

Professor
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 orcid 
Real world applications:
  • Transport Logistic Scheduling, Maritime Port Operations, 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:
  • World's Top 2% Scientist, Stanford University, 2020-2024
  • A Graph-Based Hyper-Heuristic for Educational Timetabling Problems. EJOR, 176: 177-192, 2007. EJOR 2007-2011 Five Year 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 Automation in AI and Machine Learning. 43(9), Transactions on Pattern Analysis and Machine Intelligence, 2021.
  • Special Issues on Automated Design of Machine Learning and Search Algorithms. IEEE Comp. Int. Mag. 13(2), May 2018.
  • Book cover Book cover Top2%
  • Benchmark Datasets: Cyber Security for CAVs; Maritime Port Optimisation; Nurse Rostering; Exam Timetabling; Multicast Network Routing
  • "Outstanding" KTP project Award: "Routing and Rostering in Healthcare Workforce Management"