Roland Löwe

Roland Löwe is an Associate Professor and Head of the Water Systems Section at the Department of Environmental and Resource Engineering, Technical University of Denmark (DTU). He specializes in applying machine learning and statistical methods to water resource management, flood risk assessment, and urban development modeling. His work contributes to UN Sustainable Development Goals related to climate action and sustainable cities.

Education includes a PhD in Probabilistic Forecasting for Urban Drainage Systems (DTU Compute, 2014) and a Diploma in Hydrology from Dresden Technical University (2008). Prior roles include Postdoc at DTU, Project Engineer at Krüger A/S, and Hydrologist at the Institute for Technical and Scientific Hydrology (itwh).

Key research areas focus on surrogate models for water systems, flood risk mitigation under climate change, and participatory urban planning. Notable projects include CLACOS (scientific machine learning for urban drainage), Jammerbugt Municipality flood prediction using remote sensing, and the Water Smart Cities initiative for resilient urban infrastructure.

He supervises PhD students in topics like coastal protection under sea-level rise, real-time sewer control systems, and non-tangible benefits of nature-based solutions. His work has been featured in media discussions on Danish coastal protection policies and climate adaptation strategies.