Fabrizio Dabbene

Fabrizio Dabbene is a Researcher at the Consiglio Nazionale delle Ricerche - Istituto di Elettronica e di Ingegneria dell'Informazione e delle Telecomunicazioni (CNR-IEIIT) and an external lecturer at the Department of Control and Computer Engineering (DAUIN) at Politecnico di Torino. His academic roles include teaching and research in control systems, machine learning, and physics-based system identification.

Research Interests: His work focuses on integrating physics-based knowledge with data-driven machine learning techniques for system identification, particularly in aerospace applications like spacecraft inertia estimation and Earth observation missions. Key areas include nonlinear dynamics, multi-step prediction, filtering, optimization, and reliability in safety-critical systems.

• Control Systems
• System Identification
• Machine Learning
• Aerospace Engineering
• Mechatronics
• Optimization

Recent Publications highlight trends in physics-informed modeling, conformal prediction, and nonlinear system identification. These works emphasize applications in space economy, epidemiological models, and automotive engineering, validated through complex case studies.

Advising and Research includes supervision of PhD students Cesare Donati (Ingegneria Elettrica, Elettronica e delle Comunicazioni), Gabriel Oliveira Ferreira (Ingegneria Elettrica, Elettronica e delle Comunicazioni), and Sara Narteni (Intelligenza Artificiale). His collaborations span institutions like Politecnico di Torino, Politecnico di Bari, and CNR-IEIIT.