Francesco Percassi

Francesco Percassi is a Research Fellow in the Department of Computer Science at the University of Huddersfield, affiliated with the School of Computing and Engineering. He is a member of the Centre for Planning, Autonomy and Representation of Knowledge and the Centre for Autonomous and Intelligent Systems. Percassi holds a Ph.D. from the University of Brescia, Italy, where he was supervised by Alfonso Gerevini. His research focuses on automated planning, privacy-preserving techniques, and AI applications in challenging domains like urban traffic control and renewable energy systems. He has co-authored over 40 peer-reviewed publications and actively contributes to international conferences such as IJCAI and AAAI.

Education: Ph.D. in Computer Science (2019, University of Brescia), M.Sc. and B.Sc. in Computer Engineering (University of Brescia). His expertise aligns with UN Sustainable Development Goals related to innovation and infrastructure. Current research emphasizes robustness quantification in planning systems, numeric planning optimizations, and LLM-driven configurations for urban planning.

• Scientific Contributions: 129 citations, h-index of 8 (Scopus), and significant work on heuristic algorithms and trajectory optimization.
• Grants & Collaborations: Active in multi-agent systems and privacy-preserving planning, collaborating with institutions globally.
• Labs/Teams: Part of the PARK research group at the University of Huddersfield, focusing on automated planning and knowledge representation.