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Rong Qu

Associate Professor, Faculty of Science

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Expertise Summary

Real world applications:

  • Transport Logistic Scheduling, Vehicle Routing
  • Cyber Security for Connected and Autonomous Vehicles (CAVs)
  • Traffic Data Analysis for Urban Road Networks
  • Personnel Scheduling, Portfolio Optimization, Multicast Network Routing (Network Coding), Timetabling

Algorithms / techniques:

  • Hyper-heuristics; Evolutionary Algorithms; Meta-heuristics
  • Constraint Programming; Integer Programming, Case Based Reasoning

Teaching Summary

* Introduction to Artificial Intelligence * Selected Topics in Artificial Intelligence * Constraint Logic Programming * Artificial Intelligence Methods * Decision Support Methodologies

Research Summary

Real world applications:

  • Transport Logistic Scheduling, Vehicle Routing
  • Cyber Security for Connected and Autonomous Vehicles (CAVs)
  • Traffic Data Analysis for Urban Road Networks
  • Personnel Scheduling, Portfolio Optimization, Multicast Network Routing (Network Coding), Timetabling

Algorithms / techniques:

  • Hyper-heuristics; Evolutionary Algorithms; Meta-heuristics
  • Constraint Programming; Integer Programming, Case Based Reasoning

Selected Publications

Past Research

My main research interests lie on employing knowledge based techniques in conjunction with Artificial Intelligence methods (i.e. heuristics, meta-heuristics and hyper-heuristics) for real world scheduling and optimization problems.

School of Computer Science

University of Nottingham
Jubilee Campus
Wollaton Road
Nottingham, NG8 1BB

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www.nottingham.ac.uk/enquire