Lee McCluskey

Lee McCluskey is a Research Professor in the Department of Computer Science at the University of Huddersfield's School of Computing and Engineering. Affiliated with the Centre for Planning, Autonomy and Representation of Knowledge and the Centre for Autonomous and Intelligent Systems, McCluskey actively supervises PhD students and contributes to research in artificial intelligence, planning, and knowledge engineering.

• BSc and MSc in Mathematics
• PhD by Publication in Computer Science

McCluskey's research spans automated planning, knowledge engineering, and traffic control systems. Key projects include traffic signal optimization, ontology-based rolling stock maintenance, and domain modeling for autonomous systems. Collaborations with institutions like NATS Ltd and City University highlight their industry impact.

Recent publications demonstrate expertise in deploying AI for real-time urban traffic management, PDDL+ modeling, and ontology-driven virtual depot systems. Research output trends emphasize practical applications of planning algorithms in transportation and maintenance domains.

McCluskey's career began in mathematical modeling before transitioning to computer-aided design and academic roles at Hatfield Polytechnic and City University. Current work focuses on integrating large language models with planning systems through the Centre for Planning, Autonomy and Representation of Knowledge.

Active in organizing conferences like the International Conference on Automated Planning and Scheduling, McCluskey contributes to advancing AI techniques in scheduling and domain modeling. Research outputs include foundational work in knowledge engineering, macros, and heuristic algorithms.