Rong Qu

Contact

• workRoom C71 Computer Science
  Jubilee Campus
  Wollaton Road
  Nottingham
  NG8 1BB
  UK
• workn/a
• rong.qu@nottingham.ac.uk
• http://www.cs.nott.ac.uk/~rxq

Expertise Summary

Real world applications:

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

Algorithms / techniques:

• Automated Algorithm Design; Hyper-heuristics; Evolutionary Algorithms; Meta-heuristics
• Machine Learning supported Evolutionary Algorithms
• 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)
• 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

Past Research

Artificial Intelligence methods (i.e. heuristics, meta-heuristics and hyper-heuristics) integrated with machine learning for real world scheduling and optimization problems.

Future Research

Modeling and fundamentals of evolutionary algorithms towards automated algorithm design for optimisaiton problems.