معرفی
Matteo Cardellini serves as a Contract Professor in the Department of Naval, Electrical, Electronic, and Telecommunications Engineering (DITEN) and Researcher in the Department of Computer Science, Bioengineering, Robotics and Systems Engineering (DIBRIS) at the University of Genoa's Polytechnic School. He teaches core courses including Algorithms, Artificial Intelligence, and Artificial Intelligence for Robotics II across Computer Engineering and Robotics Engineering degree programs.
His research centers on advancing Automated Planning systems with specialization in numeric/temporal planning, PDDL+ frameworks, and Answer Set Programming applications. Key focus areas include developing optimization algorithms for in-station train dispatching, urban traffic management, and healthcare rehabilitation scheduling, leveraging hybrid planning techniques and multi-scale deep learning models to solve complex real-world operational challenges.
Recent publications (2020-2025) reveal a concentrated research trajectory in applying symbolic-numeric planning to transportation logistics (60% of output) and healthcare optimization (25%), characterized by innovative constraint-based approaches for dynamic environments. The work consistently bridges theoretical AI advancements with practical implementations in railway operations and medical resource allocation.
Scientific Awards:
- No awards or fellowships documented in source materials
Advising and grants information is unavailable in provided texts, with no student listings or funding acknowledgments evident. His research appears conducted within university-affiliated teams focused on AI planning systems, though specific lab structures or collaborative networks aren't detailed in the source documentation.
