Maurizio Galetto

Maurizio Galetto serves as Full Professor and Director of the Department of Management and Production Engineering (DIGEP) at the Polytechnic University of Turin. He holds multiple leadership positions including membership in the Academic Senate, Regulations Commission, and University Committee for Research, Technology Transfer and Services to the Territory. His academic career spans decades of teaching in quality engineering, mechanical measurements, and production systems across bachelor's, master's, and doctoral programs.

Professor Galetto's research focuses on industrial metrology, instrumented indentation testing, performance measurement systems, quality engineering, and technological surface characterization. His work bridges theoretical metrology with practical industrial applications, particularly in manufacturing technologies and systems. His research intersects with key Sustainable Development Goals including Quality Education, Industry Innovation, and Responsible Consumption and Production.

His publication record from 2023-2025 reveals strong emphasis on surface characterization techniques, quality control systems in manufacturing, collaborative robotics applications, and sustainable production methods. The research demonstrates consistent application of metrology principles to solve real-world industrial problems across diverse sectors including automotive, electronics, food processing, and additive manufacturing.

Professor Galetto actively supervises PhD students working on quality engineering applications, with current research focusing on sustainable agri-food processes, collaborative robotics in quality control, and digital traceability systems. His research group has secured significant funding through competitive tenders, EU projects, and commercial contracts with major industrial partners including Electrolux and Lavazza.

His laboratory work centers around the Quality Engineering research group (DIGEP), with special focus on metrology systems, surface characterization, and quality control methodologies. The research integrates advanced measurement techniques with statistical process control and digital twin technologies for enhanced manufacturing quality assurance.