معرفی
Hannes Bauser is an Assistant Professor in the Department of Geoscience at the University of Nevada, Las Vegas (UNLV). His research focuses on advancing quantitative understanding of water flow and transport processes in the critical zone, integrating hydrological modeling with machine learning and data assimilation. He holds a Ph.D. from Heidelberg University (2018), following a M.Sc. (2014) and B.Sc. (2011) in the same institution.
His work addresses challenges in scaling hydrologic processes from patch to landscape scales, collaborating with institutions like the Desert Research Institute (DRI), University of Arizona's Landscape Evolution Observatory, and Southern Nevada Water Authority (SNWA). Key research themes include critical zone hydrology, data-driven modeling of hillslope dynamics, and machine learning applications in hydrology.
Recent publications highlight innovations in flow recession dynamics analysis, Richards equation applicability at hillslope scales, and ensemble Kalman filter methods for soil hydraulics. His approach bridges process-based models with observational data to mitigate uncertainties in heterogeneous terrestrial systems.
Professional activities include academic collaborations across North America and active participation in geoscience education initiatives. Contact: hannes.bauser@unlv.edu | Office: LFG 201B
