Karsten Schulz is a Professor in the Department of Hydrology and Water Management at the University of Natural Resources and Life Sciences (BOKU), Vienna. His research focuses on hydrological processes in alpine environments, remote sensing applications, and machine learning-driven environmental modeling. He leads studies on snow cover dynamics, groundwater recharge, and the integration of big data into hydrological systems analysis. Teaching responsibilities include courses on geoecology, hydrology, and uncertainties in water flow modeling. His research emphasizes interdisciplinary approaches, combining field observations with advanced computational methods to address challenges in climate change, water resource management, and sustainable agriculture. Recent work highlights include regional-scale assessments of Austrian water balance components, the application of superconducting gravimeters for snowpack monitoring, and the development of machine learning models for soil hydraulic property prediction. He collaborates internationally on projects involving transboundary hydrology and agricultural sustainability in East Africa. Consultation hours are held weekly (except cancellations), and his lab (iHYWA) focuses on hydrological innovation for environmental resilience. Research outputs span over 50 peer-reviewed articles since 2018, addressing topics from snow hydrology to AI-driven water temperature forecasting.




