Paolo Bosetti

Paolo Bosetti is an Associate Professor in the Department of Industrial Engineering at the University of Trento, Italy. He is actively involved in teaching and research within the College of Engineering, contributing to multiple degree programs including Mechatronics Engineering, Materials Engineering, Industrial Engineering, and Computer Science at both bachelor's and master's levels.

His research and teaching expertise spans a wide range of advanced engineering disciplines, with a strong focus on intelligent manufacturing, robotics, precision engineering, and industrial automation. He integrates modern technologies such as augmented reality, multi-agent systems, and digital manufacturing into his pedagogy and likely research. His work bridges theoretical control systems with practical applications in smart machining and unmanned systems.

The available teaching topics indicate a consistent trend toward smart, data-driven industrial systems, emphasizing precision, automation, and real-time control. Courses such as 'Advanced Formula SAE', 'Precision Engineering: Digital Manufacturing', and 'Multi-agent system for smart machining' highlight his interdisciplinary approach and engagement with cutting-edge manufacturing technologies.

While no scientific awards are listed in the provided text, his broad teaching portfolio and technical expertise suggest significant contributions to engineering education and applied research.

Paolo Bosetti actively supervises and co-teaches several laboratory and project-based courses, indicating mentorship roles for students, particularly in hands-on engineering design and implementation. Although specific grants or funded projects are not detailed, his involvement in advanced manufacturing and smart systems likely involves collaborative research and external funding. He is a core faculty member in multiple programs, demonstrating strong institutional integration.

He is associated with academic teams in mechatronics and industrial engineering, particularly in the development of smart machining systems and precision engineering applications. His collaboration with other professors, such as Daniele Fontanelli and Francesco Biral, points to active participation in research and teaching groups focused on intelligent and automated systems.