Roberto Bargetto

Roberto Bargetto is a Research Fellow and part-time lecturer at the Department of Management and Production Engineering (DIGEP) at Politecnico di Torino. His work focuses on optimization algorithms and decision-making systems, with applications in logistics, healthcare scheduling, and computational operations research. He has collaborated extensively on advanced algorithmic solutions for complex problems.

• Teaching roles (2021-2025): Course collaborator for Decision Making and AI, Quantitative Methods, and Operations Research in Engineering and Management programs.
• Research interests: Exact algorithms, bin packing, operating room scheduling, and time-dependent cost modeling.
• Email: roberto.bargetto@polito.it

Recent publications highlight his expertise in Integer Programming (2025), branch-and-price-and-cut methods (2023), and iterative algorithms for transportation problems (2024). His work bridges theoretical optimization techniques with practical applications in production engineering and healthcare logistics.

Collaborations include Federico Della Croce, Rosario Scatamacchia, Maria Elena Bruni, Guido Perboli, Thierry Garaix, and Xiaolan Xie. Research outputs are available via Porto@Iris.