Luca Dimauro

Luca Dimauro serves as a Fixed-term Assistant Professor in the Department of Mechanical and Aerospace Engineering (DIMEAS) at the Polytechnic University of Turin, affiliated with the College of Mechanical, Aerospace, and Automotive Engineering. His academic responsibilities include teaching Vehicle Dynamics Simulation for Automotive Engineering programs (AY 2024/25 and 2025/26), Mechanical System Dynamics for Mechanical Engineering (2023/24), and multiple iterations of Vehicle Mechanics and Applied Mechanics for Machines courses across both undergraduate and graduate programs.

Dr. Dimauro's research focuses on applied mechanics with specialization in experimental modal analysis, experimental-numerical correlation, finite element methods, high-speed vehicles, magnetic transmissions, structural dynamic design of machines, vehicle dynamics, and vibrations. His work bridges theoretical mechanics with practical automotive applications, particularly in electric powertrains, tracked vehicle dynamics, and vibration control systems. The research integrates computational methods with experimental validation across diverse applications from automotive engineering to biomedical devices.

His publication record shows a strong interdisciplinary trend combining mechanical engineering, electrical systems, and computational methods to solve complex dynamic problems. Recent work spans automotive innovation (electric powertrains, vehicle dynamics), biomedical applications (prosthetic legs), energy harvesting systems, and musical instrument analysis, demonstrating remarkable breadth while maintaining technical depth in structural dynamics.

Dr. Dimauro actively contributes to the Vehicle Dynamics research group within DIMEAS, collaborating on projects involving magnetic transmission systems, vibration analysis, and vehicle dynamics optimization. His patents on parametric dynamic dampers with self-powered sensor functionality and contactless magnetic gear shifting demonstrate practical applications of his research with significant industrial relevance.