Alessandro Paolo Daga

Alessandro Paolo Daga is a Fixed-term Tenure-Track Assistant Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS), Politecnico di Torino. His research focuses on machine diagnostics, vibration monitoring, bearings, digital signal processing, and machine learning applications in industrial systems.

• Keywords: Bearings, Digital Signal Processing, Machine Diagnostics, Machine Learning, Rotordynamics

Awards:

• Best Poster Award at COMSOL Conference Munich 2023
• 3rd Place Best Paper at IEEE MetroInd4.0&IoT 2020
• 1st Place at Surveillance 9 (2017)
• 2nd Place at Surveillance 8 (2015)

Teaching: He teaches courses in Gearbox Failure Analysis and Monitoring, and collaborates in Vibration Mechanics and Vehicle Noise & Vibration at both bachelor’s and master’s levels. He also supervises PhD research in Mechanical Engineering.

Recent Research Trends: His work spans aerospace pyroshock testing, wind turbine condition monitoring, and vibration diagnostics for rotating machinery. He applies statistical learning and signal processing to energy systems and industrial equipment maintenance.