Andrea Cominola

Andrea Cominola is Assistant Professor for Smart Water Networks at Technische Universität Berlin, Faculty V – Mechanical Engineering and Transport Systems, and affiliated with the Einstein Center Digital Future (ECDF). He leads the Smart Water Networks research group, focusing on data-driven solutions for sustainable urban water systems. His work integrates machine learning, behavioral modeling, and digital transformation to enhance water security and resilience.

His research interests include:

• Smart Water Networks and digital transformation of utilities
• Water and energy demand modeling
• Leakage and anomaly detection in cyber-physical systems
• Behavioral modeling and socio-technical interactions
• Interpretable machine learning for climate adaptation
• Urban water management under climate change

His recent publications (2023) focus on flood adaptation behaviors in the US, long-term water demand changes in Southern California, and global digital transformation in water utilities. These works highlight trends in data-informed decision-making, equity in climate resilience, and the role of regulation and technology in sustainable infrastructure.

Scientific contributions include:

• Interpretable ML for flood insurance behavior
• Multi-dimensional analysis of water demand under stressors
• Global survey on digital water transformation

He advises a team of research assistants and PhD candidates, and leads initiatives like the AWMCA lecture series and the CID podcast. He is committed to open science, public engagement, and interdisciplinary collaboration. His lab emphasizes multi-scale, multi-sector urban modeling and open-access research dissemination.