Martina Gizzi

Martina Gizzi is a Fixed-term Assistant Professor and Researcher at the Politecnico di Torino, Department of Environment, Land and Infrastructure Engineering (DIATI). She is affiliated with the College of Civil and Building Engineering, College of Environmental and Land Engineering, and serves as an invited member in the Planning and Design College. Her teaching spans multiple programs including Civil and Environmental Engineering, Energy and Nuclear Engineering, and Urban and Regional Development, where she leads PhD and master's level courses in geothermal energy and geological resources.

Her research focuses on Applied Hydrogeology and Geothermal Energy, with emphasis on groundwater flow, recharge dynamics, and sustainable urban geothermal applications. Her work integrates numerical modeling, isotopic analysis, and geological assessments for environmental and energy solutions, aligning with SDGs related to clean water, affordable energy, and responsible consumption.

The recent publication trends indicate a strong focus on geothermal repurposing of decommissioned wells, urban geothermal integration, and hydrogeological characterization of alpine springs. These studies combine field data, isotopic methods, and simulation techniques to advance sustainable subsurface energy use.

• COMMUNICATING RESEARCH TO THE CITIZENS (Politecnico di Torino, 2025)
• Learning to Teach (L2T) (Politecnico di Torino, 2024)

Martina Gizzi supervises PhD student Fatemeh Hosseinpour on research involving geothermal technology and critical material extraction. She has not disclosed specific grants, but her involvement in advanced teaching and research projects suggests active participation in funded academic initiatives. She teaches across departments, indicating interdisciplinary collaboration and academic leadership.

She is involved in research within the APPLIED GEOLOGY, PHYSICAL GEOGRAPHY AND GEOMORPHOLOGY research area at DIATI, contributing to both academic instruction and applied research in geoengineering and numerical modeling.