Alessandro Aliberti

Alessandro Aliberti is a fixed-term assistant professor at the Interuniversity Department of Regional and Urban Studies and Planning (DIST) at Politecnico di Torino. He is actively engaged in teaching and research with a focus on artificial intelligence and sustainable urban systems. He serves as an invited member of the College of Management and Production Engineering and the Planning and Design College.

His research interests include applied artificial intelligence, machine learning, battery simulation, building energy simulation, co-simulation, cyber-physical systems, and forecasting. These areas are applied to critical challenges in sustainable cities, clean energy, and climate action, aligning with UN SDGs 7, 11, and 13.

His recent publications (2024–2025) demonstrate a strong trend in applying machine learning to energy systems, urban modeling, and cybersecurity. Key themes include deep learning for urban building analysis, solar irradiation estimation, EV battery health monitoring, and power grid forecasting for renewable integration.

Scientific Awards and Recognitions:

• RIMINI SCHOOL 2025 “SUCCESSFULLY PARTICIPATE IN CALLS FOR RESEARCH FUNDING” – Politecnico di Torino (13-05-2025)
• Effective communication with businesses – Politecnico di Torino (12-05-2025)

He has taught courses such as IoT platforms for spatial analytics in smart energy systems at the PhD level and contributed as a course collaborator in Introduction to ICT and Computer Science across multiple engineering programs. While no formal advisees are listed, his teaching roles span assistant, main teacher, and collaborator across academic years 2021–2026. There is no mention of specific grants or lab affiliations in the provided text.