معرفی
Alessandro Beghi is a Full Professor at the Department of Information Engineering, University of Padova. His research focuses on advanced control systems, machine learning applications in industrial processes, and automation technologies. He leads projects in areas like resilient manufacturing, semiconductor production optimization, and anomaly detection in smart systems.
Key research interests include Nonlinear Model Predictive Control (NMPC), Deep Learning for industrial quality prediction, and energy-efficient HVAC systems. His work integrates cutting-edge algorithms with real-world applications, such as motorcycle stability systems and textile manufacturing processes.
Publications highlight contributions to AI-driven manufacturing frameworks (e.g., SMART-IC, VIR2EM), anomaly detection methodologies, and control strategies for complex systems. He is actively involved in editorial roles and educational initiatives in control engineering and automation.
