معرفی
Alessandro Farinelli is a Full Professor at the University of Verona's Department of Computer Science. His research focuses on Artificial Intelligence, Robotics, and Cyber-Physical Systems, with a strong emphasis on multi-agent coordination, decentralized optimization, and reinforcement learning. He has led numerous national and international projects in AI and robotics, contributing to high-impact journals and conferences like AAMAS, IJCAI, and IROS. His work bridges theoretical advancements with practical applications in logistics, environmental monitoring, and disaster response.
Farinelli's teaching spans Foundations of Artificial Intelligence, Programming Lab II, and specialized courses in Robotics and Autonomous Systems. He has been a key contributor to benchmarking frameworks like RMASBench for urban search and rescue scenarios. His research integrates formal verification methods with reinforcement learning to ensure safety in autonomous systems, particularly in challenging environments like aquatic navigation and medical robotics.
His projects include leading the EU-funded INTCATCH for catchment management and collaborating on energy-saving solutions for wastewater systems. Farinelli's contributions also extend to anomaly detection in industrial robots and safe policy synthesis using inductive logic programming.
