Rong Qu
Professor, Faculty of Science
Contact
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 Algorithms; 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.