About
Marc Roper is a Professor in the Department of Computer and Information Sciences at the University of Strathclyde, specializing in applying machine learning to software engineering challenges. His work spans academic research and industrial collaborations.
- Oversee MEng Group Projects (CS546)
- Teach Software Architecture (CS409) and Advanced Software Engineering (CS547)
- Previously taught Machine Learning for Data Analytics (CS985) and Evolutionary Computation (CS971)
Research interests focus on:
- Machine learning for software testing and debugging
- Anomaly detection in high-dimensional datasets
- Search-based software engineering
- Cross-domain applications in healthcare and transportation
- Testing AI systems
- Software analytics through repository mining
His recent publications highlight trends in healthcare systems (cardiac surgery decision support, ICU outcome prediction), logistics (drone-based networks), and network engineering (VNF optimization). Notable recognition includes the Best Paper Award (2023) for his work on SLA-aware network optimization.
Key industrial projects include:
- KTP with Coolside Ltd (counterfeiting detection)
- EPSRC IAA contract pricing analysis
- Hypervine blockchain-AI integration
- Active travel confidence systems
- Maths DTP research
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