Daniele Quercia

Daniele Quercia is a Full Professor in the Department of Control and Computer Engineering (DAUIN) at Politecnico di Torino, where he is also a member of the Interdepartmental Center SmartData@PoliTO – Big Data and Data Science Laboratory. He is affiliated with the College of Computer, Film and Mechatronics Engineering and also contributes to the College of Environmental and Land Engineering. His work bridges computer science, AI, and societal impact.

His research focuses on responsible software systems design and responsible AI, with deep engagement in human-computer interaction, data visualization, and ethical implications of AI systems. His work spans interdisciplinary domains, including urban informatics, public health, and social media analysis. He leads the DBDM - Database and Data Mining Group and teaches courses such as Engineering AI Systems, Data Science and Machine Learning for Engineering Applications, and Crafting Tech: Conceiving, Designing, and Communicating Tech Ideas.

The most recent publications (2020–2024) reflect a strong trend in AI ethics, urban well-being, and social data analysis. His work appears in top-tier venues like CHI, RecSys, ICWSM, MobileHCI, and WWW, demonstrating a consistent focus on human-centered computing and real-world applications of AI. Themes include AI regulation, health-promoting urban recommendations, fake news, and wearable biofeedback.

His scientific contributions are complemented by active mentorship and collaboration with researchers such as Marios Constantinides, Ke Zhou, Sanja Šcepanovic, and Giovanni Quattrone. He has secured teaching and research roles across diverse engineering programs and leads PhD-level instruction in Computer and Control Engineering.

He is a member of key research groups and centers at PoliTO, including the DBDM group and SmartData@PoliTO, which focus on cutting-edge data science, AI, and responsible technology development.