Find Academic Supervisors

Noah P. MolotchView profile

Professor

• Mountain Hydrology
• Snow Hydrology
• Ecohydrology
• +4 more

Noah P. Molotch is a Professor in the Department of Geography at the University of Colorado Boulder, leading the Mountain Hydrology Group and affiliated with the Cryosphere and Surface Processes Lab and Niwot Ridge Long-Term Ecological Research program. His work integrates ground observations, remote sensing, and computational modeling to advance understanding of mountain hydrology, water resources, and ecohydrology in changing climates. His educational background includes: PhD in Hydrology and Water Resources from the University of Arizona (2004) MS in Environmental Science and Management from the University of California, Santa Barbara (2000) BA from the University of Colorado Boulder (1997) Molotch's research focuses on snow hydrology , ecohydrology , and remote sensing with emphasis on snowmelt distribution, soil moisture dynamics, and streamflow generation. He investigates how climate change alters snowpack characteristics and hydrological partitioning, affecting forest productivity and carbon cycling in montane ecosystems. His work spans from the Colorado Front Range to Chilean Andes, addressing critical water security challenges through field studies and satellite data integration. Recent publications (2024-2025) reveal three dominant research thrusts: (1) Advanced snow water equivalent estimation using machine learning and airborne remote sensing, (2) Climate impacts on snowmelt timing and hydrological partitioning across mountain systems, and (3) Ecohydrological feedbacks between snow dynamics and vegetation productivity. These studies increasingly incorporate drone-based multispectral imaging and cross-scale data fusion to resolve spatial heterogeneity in alpine environments. Molotch mentors PhD students Millie Spencer and Emma Tyrrell, with Spencer documenting glacier retreat in Chile through CUAHSI-funded research. His group has secured significant grants from the U.S. Bureau of Reclamation for developing operational snowpack datasets, while collaborating with NASA, NOAA, and water management agencies on real-time monitoring systems. Community engagement includes art-science collaborations like the Colorado Arts Science Environment Program to communicate climate impacts. The Mountain Hydrology Group operates cutting-edge facilities including the Cryosphere and Surface Processes Lab and contributes to the Niwot Ridge Long-Term Ecological Research site. They deploy airborne lidar, drone-based thermal imaging, and wireless sensor networks to map snow properties at unprecedented resolutions, directly informing water resource management during drought and flood events across the Western U.S.

Ross A WoodsView profile

Professor

• Hydrology
• Water Resources
• Hydroclimatology
• +5 more

Ross A Woods is a Reader in Water & Environmental Engineering at the School of Civil, Aerospace and Design Engineering, University of Bristol , and an active member of the Cabot Institute for the Environment . His research focuses on large-sample hydrology, flood and drought risk, climate-water interactions, and catchment classification. Keywords : Hydrology, Water Resources, Hazards, Hydroclimatology Research Themes : Flood Estimation in Ungauged Catchments, Climate Change Impacts on Hydrology, Snow-Rain Transition Effects, Hydrological Modeling with Simple Models Scientific Trends His recent work emphasizes groundwater-surface water interactions (e.g., DECIPHeR-GW, 2025), snow hydrology under climate change (e.g., Northern Hemisphere SWE datasets, 2025), and catchment-scale water balance analysis (e.g., 2024 studies on soil drainage and streamflow seasonality). Key disciplines include hydrology, climate science, and environmental engineering. Scientific Awards 2022 STAHY Best Paper Award (awarded 2023) Adjunct Faculty Member (2006) Award for Outstanding Achievement (2010) He has contributed to hydrology through 671 catchment studies (CAMELS-GB dataset) and model development (e.g., TOSSH toolbox, 2021). His work bridges theoretical hydrology with applied water management in regions like New Zealand, Brazil, and the contiguous USA.

• Climate variability
• Palaeoclimatology
• Hydrology
• +5 more

Dr. Danielle Verdon-Kidd is an Associate Professor in Earth Sciences at the University of Newcastle, specializing in climate variability and extreme event analysis. Her research integrates palaeoclimatology, hydrology, and climatology to understand and mitigate climate-driven risks. She has held roles in the School of Environmental and Life Sciences since 2003, after completing her PhD in Civil Surveying & Environmental Engineering and Bachelor of Engineering (Environmental Eng) at the University of Newcastle. Education: PhD (Civil Surveying & Environmental Engineering), University of Newcastle Bachelor of Engineering (Environmental Eng), University of Newcastle Research Interests: Her work focuses on climate extremes (droughts, bushfires, tropical cyclones), palaeoclimate reconstructions, and interdisciplinary approaches to risk assessment. She emphasizes leveraging long-term data (e.g., tree rings, coral records) to inform water management, infrastructure planning, and community resilience. Key projects include collaborations with governments and industries to develop tools like CoastAdapt for coastal risk management. Publications & Awards: Over 100+ publications, including peer-reviewed journal articles and conference contributions. Notable awards include the Women in Research Fellowship (2018) and Envisage Program mentorship (2019). Advising & Partnerships: Supervises undergraduate and graduate students, fostering the next generation of climate researchers. Collaborates with federal/state agencies (e.g., NSW Department of Planning), water authorities, and international partners (e.g., University of Melbourne, Hydro Tasmania) to bridge scientific research and practical applications. Labs & Teams: Leads projects in palaeoclimate reconstruction, stochastic modeling, and climate adaptation. Active in interdisciplinary teams addressing climate change impacts on agriculture, biodiversity, and urban planning.

Jonathan FrameView profile

Assistant Professor

• Hydrology
• Machine Learning for Earth Systems Modeling
• Geospatial Modeling and Prediction
• +4 more

Dr. Jonathan Frame is an Assistant Professor of Artificial Intelligence/Machine Learning in Geological Sciences at the University of Alabama (2024–present) and a Faculty Fellow at the Alabama Water Institute (2024–2027). He holds a PhD in Geological Sciences from the University of Alabama (2022), an MS in Civil Engineering from the University of California, Irvine (2011), and a BS in Earth Systems Science, Technology, and Policy from California State University, Monterey Bay (2010). His research focuses on advancing hydrologic modeling through machine learning, including deep learning for streamflow forecasting, geospatial modeling, and flood prediction systems. Notable projects include improving the National Water Model with LSTM networks and developing rapid inundation mapping techniques using satellite data. He has contributed to over 30 peer-reviewed publications and actively participates in conferences like AGU and NeurIPS. His engineering experience spans flood risk mitigation, groundwater analysis, and pipeline transient modeling across California, Texas, and Washington. Research Interests Machine learning integration in hydrological systems Operational flood forecasting and inundation mapping Data-driven approaches for ungauged basins Climate nonstationarity and model adaptability Hydraulic transient analysis in water infrastructure Recent Contributions Frame’s recent work emphasizes NextGen water modeling frameworks, combining physics-based models with AI to enhance predictive accuracy. His 2025 paper on heterogeneous water modeling frameworks and 2024 studies on rapid inundation mapping highlight innovations in integrating satellite observations with hydrologic models. He also explores topics like mass conservation constraints in rainfall-runoff models and evapotranspiration prediction using deep learning. Grants & Projects FEMA partnership for near-real-time flood damage prediction systems NOAA-funded research on AI in environmental sciences NASA snowpack analysis for water resources forecasting Development of the Tarsier environmental modeling framework Labs & Collaborations Frame collaborates with the Alabama Water Institute and contributes to interdisciplinary teams advancing hydrologic AI. His work intersects with climate science, environmental engineering, and computational hydrology to address global water challenges.

• Reactive flow and transport modeling
• Geochemical processes
• Groundwater dynamics
• +5 more

Martin Andersen is an Associate Professor with the Water Research Laboratory and School of Civil and Environmental Engineering at the University of New South Wales (UNSW). His research focuses on hydrogeology, groundwater dynamics, and surface water-groundwater interactions, with particular emphasis on coastal zone processes and reactive flow and transport modeling. Dr. Andersen's research interests span several critical areas in hydrogeology and environmental science. His work on reactive flow and transport modeling examines how chemical reactions affect water movement through geological formations. He investigates geochemical processes and groundwater dynamics in coastal zones, which is crucial for understanding saltwater intrusion and managing coastal aquifers. His research on surface water-groundwater interactions helps inform sustainable water resource management, particularly in Australia's diverse hydrological environments. Andersen has made significant contributions to understanding how climate variability affects groundwater recharge processes and the implications for water security in arid and semi-arid regions. Analysis of Dr. Andersen's recent publications reveals a strong focus on understanding complex hydrological systems through innovative methodologies. His work spans multiple disciplines including hydrogeology, climate science, biogeochemistry, and computational modeling. A key trend in his research is the investigation of groundwater dynamics in various environmental contexts - from arid zone aquifers to coastal wetlands and fractured rock systems. He employs diverse approaches including field monitoring networks, laboratory experiments, statistical modeling, and paleoclimate reconstructions to address pressing water resource challenges. His research has significant implications for sustainable groundwater management, climate adaptation strategies, and ecosystem conservation. Dr. Andersen is actively involved in several research teams and laboratories. As an Associate Director in the School of Civil and Environmental Engineering at UNSW, he contributes to the Water Research Laboratory's mission of advancing water science and engineering. His work often involves interdisciplinary collaborations across hydrology, geology, environmental science, and climate research. Through his leadership in establishing monitoring networks and conducting field experiments, he has helped build valuable infrastructure for ongoing water research in Australia.

Tom GleesonView profile

Professor

• Groundwater Sustainability
• Hydrogeology
• Environmental Science
• +7 more

Dr. Tom Gleeson is a Professor and President’s Chair in the Department of Civil Engineering at the University of Victoria, Canada. His research focuses on groundwater sustainability, mega-scale groundwater systems, groundwater-surface water interactions, and fluid dynamics in geologic structures. He integrates geocomputation, data science, numerical modeling, field hydrogeology, and sustainability science to address interdisciplinary challenges. Gleeson holds a PhD from Queen’s University and is a licensed Professional Engineer (P.Eng.). Education: PhD (Queen’s University), P.Eng. License Research Themes: Groundwater sustainability, climate change impacts, socio-ecological systems, and planetary boundaries His work emphasizes global groundwater governance, environmental flow management, and Indigenous reconciliation in water science. Recent research highlights include quantifying groundwater’s role in planetary boundaries, evaluating nitrate contamination risks, and developing open-access groundwater modeling tools (e.g., GroMoPo). He advocates for community-based and arts-informed approaches to hydrogeology. His team, the Groundwater Science and Sustainability (GSAS) group, collaborates internationally to advance sustainable water management. Publications focus on groundwater’s socio-ecological connections, climate adaptation strategies, and innovative modeling frameworks. He actively engages with policymakers, Indigenous communities, and the public through blogs, social media, and open-access platforms.

Laurence C. SmithView profile

Professor

• Arctic Studies
• Hydrology
• Remote Sensing
• +3 more

Laurence C. Smith is the John Atwater and Diana Nelson University Professor of Environmental Studies at Brown University, affiliated with the Institute at Brown for Environment & Society (IBES) and the Department of Earth, Environmental and Planetary Sciences (DEEPS). Previously, he served as UCLA's Geography Department Chair and Professor. His research focuses on Arctic environments, water resources, and remote sensing, with over 150 peer-reviewed publications and $16M in NSF/NASA grants. He has contributed to IPCC reports and leads NASA's SWOT mission for global water monitoring. Key awards include the Guggenheim Fellowship (2006-07), AGU Fellow (2015), and Walter P. Kistler Book Award (2012) for *The World in 2050*. Education: PhD, Cornell University (1996) MS, Indiana University (1991) BS, University of Illinois at Urbana-Champaign (1989) Research Interests: Arctic systems, hydrology, satellite remote sensing, and climate change impacts. His work bridges natural and social sciences, addressing topics like Greenland meltwater dynamics and northern resource development. Recent projects include methane emissions from Arctic lakes and river avulsion monitoring via SWOT. Awards: Phi Beta Kappa Visiting Scholar (2020-21) AGU Fellow (2015) Walter P. Kistler Book Award (2012) Guggenheim Fellowship (2006-07) Teaching & Grants: Teaches courses on water systems and scientific writing at Brown. Secured major grants from NASA and NSF, totaling over $16M. Advises graduate students in environmental studies and geosciences. Labs/Teams: Collaborates with IBES, DEEPS, and global institutions like the World Economic Forum on Arctic development and NASA's SWOT mission. Active in interdisciplinary research networks.

Nathaniel ChaneyView profile

Assistant Professor

• Hydrology
• Earth System Science
• Soil Science
• +12 more

Nathaniel Chaney is an Assistant Professor in the Department of Civil and Environmental Engineering at Duke University’s Pratt School of Engineering. He leads the Chaney Lab, a research group focused on computational hydrology and Earth system modeling. His work centers on understanding and representing land surface heterogeneity in hydrological and climate models using big data, machine learning, and high-performance computing. Ph.D. in Hydrology, Princeton University, 2015 B.A. in Atmospheric Sciences and Applied Mathematics, U.C. Berkeley Postdoctoral Research Associate, Princeton University and NOAA Geophysical Fluid Dynamics Laboratory His research interests include hydrology, Earth system science, soil science, ecology, geomorphology, numerical modeling, high performance computing, machine learning, and environmental data assimilation. He develops and applies models like HydroBlocks and POLARIS to improve the representation of land heterogeneity in Earth system models. His work bridges field-scale and macro-scale hydrology, addressing challenges in land-atmosphere interactions, drought monitoring, and climate prediction. The most recent publications highlight advancements in modeling land heterogeneity, improving soil moisture estimates, characterizing land surface temperature patterns, and enhancing Earth system models through better representation of catchment-scale processes. Key themes include spatial heterogeneity, land-atmosphere coupling, and the integration of remote sensing data with high-resolution modeling. He is actively mentoring several Ph.D. students, including Laura Torres Rojas, Tyler Waterman, Emma Xu, Jiaxuan Cai, Luiz Bacelar, Daniel Guyumus, and undergraduate Sarah Bailey. His lab fosters interdisciplinary research in hydrology, climate science, and data science. Nathaniel Chaney teaches courses such as CEE 584: Physical Hydrology, CEE 506: Environmental Spatial Data Analysis, and various independent study and advanced topics courses in civil and environmental engineering. He is currently recruiting motivated Ph.D. and postdoctoral researchers interested in his research themes.

Konstantinos AndreadisView profile

Associate Professor

• Computational Hydrology
• Remote Sensing
• Data Assimilation
• +4 more

Konstantinos Andreadis is an Associate Professor in the Department of Civil and Environmental Engineering at the University of Massachusetts Amherst. He leads the Computational Hydrology Research Group, focusing on water resources modeling, remote sensing, data assimilation, and climate change impacts. His research spans hydrologic modeling at multiple scales, satellite-based drought monitoring, and reservoir operations analysis. Education: Engineering Diploma in Environmental Engineering (2002), Technical University of Crete MScE in Civil & Environmental Engineering (2004), University of Washington PhD in Civil & Environmental Engineering (2009), University of Washington His work integrates satellite data (e.g., SWOT, SMAP) with numerical models to study freshwater dynamics, floodplain encroachment, and machine learning applications. Key projects include flood risk assessment in urbanizing regions, drought impact analysis in forested environments, and optimizing agricultural water management. Scientific Awards: NASA Early Career Achievement Medal (2015) Professor Andreadis has mentored PhD students like Xinchen He, who successfully defended his dissertation in 2025. His research group collaborates with institutions worldwide, emphasizing data-driven solutions for global hydrology.

Thomas WöhlingView profile

Researcher

• Integrated environmental systems modeling
• Surface water-groundwater interactions
• Braided river systems
• +9 more

PD Dr. habil. Thomas Wöhling serves as a Senior Research Scientist and Team Leader for Stochastic Modelling of Hydrosystems at the Chair of Hydrology, Dresden University of Technology's Faculty of Environmental Sciences. His research spans integrated environmental systems modeling with particular expertise in surface water-groundwater interactions, braided river systems, and vadose zone processes. Previously, he held research positions at Water and Earth System Sciences Competence Cluster in Tübingen (2010-2015) and Lincoln Environmental Research in New Zealand (2006-2010). Dr. Wöhling completed his Dipl.-Hydrol. (1999) and PhD in Hydrology (2005) at Dresden University of Technology, followed by habilitation in Stochastic Hydrology (2021). His educational background includes extensive research at the Institute of Hydrology and Meteorology at TU Dresden (1999-2005) where he developed foundational expertise in hydrological modeling. Wöhling's research focuses on integrated modeling of coupled environmental systems , particularly flow and contaminant transport in surface water-groundwater systems, nutrient and energy fluxes in soil-plant-atmosphere systems, and distributed hydrological modeling. His work emphasizes stochastic modeling and uncertainty analysis , with significant contributions to inverse modeling, model calibration, multiobjective optimization, and Bayesian model averaging techniques. He has pioneered methods for evaluating monitoring network worth and data utility for environmental models. His publication record demonstrates consistent contributions to hydrological science, with recent work (2023-2025) focusing on machine learning applications in hydrology, advanced statistical inversion techniques, and complex karst system modeling. Key trends include integration of physics-based and data-driven approaches, improved uncertainty quantification methods, and applications to climate change impacts on water resources. His work bridges theoretical advances with practical applications in New Zealand's braided rivers and European hydrological systems. STAHY Best Paper Award (2018) ASCE Journal of Irrigation and Drainage Engineering Best Reviewer Awards (2008, 2010, 2011, 2015, 2018) ASCE Journal of Irrigation and Drainage Engineering Best Paper Awards (2008, 2009) Dr. Wöhling leads the Stochastic Modelling of Hydrosystems team and has secured funding for numerous projects including Klimakonform, ISOSIM, VAMOS II, and the International Research Training Group 'Integrated Hydrosystem Modelling.' His work combines novel monitoring techniques with modeling and optimal sensor placement to improve prediction reliability for river-groundwater exchange fluxes. He collaborates extensively with international partners, particularly in New Zealand through the Lincoln Agritech's Braided Rivers program. His laboratory work focuses on combining traditional hydrological measurements with advanced computational techniques, including deep learning applications for soil surface hydrology and time-windowed Bayesian analysis for predictive modeling. The team maintains strong connections with field sites in Germany's Saxon region and New Zealand's Canterbury Plains, facilitating integrated theoretical and empirical research approaches.

Yeo Howe LimView profile

Professor

• Water Resources Engineering
• Hydrologic Modeling
• Open Channel Hydraulics
• +5 more

Dr. Yeo Howe Lim is a Professor and Department Chair of Civil Engineering at the University of North Dakota, with a focus on water resources engineering. He serves as Graduate Program Director for Civil and Environmental Engineering, teaching courses in fluid mechanics, hydrology, and applied hydraulics. Education: BEng & MEng from University of Canterbury, PhD from Memorial University of Newfoundland Research Areas: Open channel hydraulics, flood frequency analysis, streambank stabilization, urban stream revitalization, cold region hydrodynamics His research explores climate change impacts on flood patterns, hydrodynamic modeling of wetlands, and innovative use of Unmanned Surface Vehicles for aquatic studies. Recent publications emphasize lithium extraction technologies in oilfields, distributed Muskingum flood routing models, and optimization algorithms for cold climate water systems. Scientific awards include the Dean’s Outstanding Faculty Award (2013), ASCE Outstanding Reviewer recognition (2009), and the Institution of Civil Engineers (UK) Overseas Prize (2001). He has supervised numerous graduate students in hydrological modeling, including Mohammed Almousa and Vahid Atashi. Current projects involve HYCAT technology for bridge scour assessment, LiDAR bathymetry modeling, and climate change adaptation tools for cold region water management. His work bridges computational hydrology, hydraulic structure design, and sustainable water resource solutions.

• Groundwater Management
• Water Security
• Ecohydrology
• +6 more

Steven M. Gorelick is the Cyrus F. Tolman Professor in the Department of Earth System Science at Stanford University and a Senior Fellow at the Woods Institute for the Environment . He has been on Stanford’s faculty since 1988 and currently directs the Global Freshwater Initiative , focusing on water resources vulnerability in India, Mexico, Vietnam, Jordan, and the US. His work integrates groundwater management, ecohydrology, and policy analysis. PhD, Stanford University (1981) in Hydrology (Hydrogeology) MS, Stanford University (1977) in Hydrology (Hydrogeology) BA, New College (1975) Research Interests span coupled human-natural systems modeling for water security, with focus on climate, land-use, and demographic changes affecting urban and agricultural regions. He develops tools for sustainable water management in stressed areas and investigates contaminant transport, aquifer geophysics, and global oil supply dynamics. His Global Freshwater Initiative addresses drought impacts through policy simulations involving taxes, quotas, and water markets. Publication Trends reveal expertise in transboundary water conflicts, arsenic contamination mechanisms, climate-water-food-energy nexus analysis, and ecohydrologic modeling. His work combines field observations with computational models to explore groundwater-surface water interactions, contaminant mobilization, and policy-driven resource allocation. Scientific Awards include: US National Academy of Engineering (2012) AAAS Fellow (2016) Guggenheim Fellow (2005) AGU Fellow (1990) James B. Macelwane Medal (1990) Excellence in Teaching Award (2018) Advising includes serving as Doctoral Dissertation Advisor for Ankun Wang and Reader for Brian Rogers, and mentoring postdoctoral fellows Zhi Li and Qing Yang. He leads the Stanford Center for Aquifer Simulation and has held visiting positions at ETH Zurich, University of Cambridge, and CSIRO.

Richelle Allen-KingView profile

Professor

• Contaminant Transport in Groundwater
• Hydrogeochemistry
• Organic Contaminants
• +5 more

Richelle Allen-King serves as Professor and Director of Graduate Studies in the Department of Earth Sciences within the College of Arts and Sciences at the University at Buffalo. Her academic career centers on hydrogeochemistry and environmental geochemistry, with specialized expertise in contaminant transport processes in groundwater systems. Her educational background includes: PhD in Earth Sciences (Hydrogeology) from the University of Waterloo (1991) Dr. Allen-King's research focuses on understanding the fate and transport of contaminants in groundwater , particularly organic pollutants like chlorinated solvents and nutrients. She integrates field measurements, laboratory experiments, and numerical modeling to investigate critical processes including sorption, diffusion, and biotic/abiotic degradation in heterogeneous aquifers. Her work addresses fundamental limitations in predicting natural attenuation and designing effective remediation strategies for contaminated sites, with significant contributions to understanding nonlinear sorption in low-organic-carbon sediments and aquifer heterogeneity effects. Analysis of her publication record reveals three dominant research trajectories: (1) Advanced characterization of chlorinated solvent behavior in sedimentary rock aquifers , particularly diffusion and degradation processes in low-permeability media; (2) Investigation of nutrient transport dynamics in watersheds with applications to Lake Erie eutrophication; and (3) Development of educational frameworks for early-career geoscientists. Her recent work increasingly incorporates high-fidelity modeling of heterogeneous systems and field validation at research sites like the Borden Aquifer. Her research is supported by major external funding including: SERDP Project ER-2533: Developing field methods for quantifying chlorinated solvent diffusion and degradation in low-permeability media NSF IGERT ERIE grant: Fostering interdisciplinary training in ecosystem restoration Dr. Allen-King has mentored 14 graduate students to completion, with alumni now working as hydrogeologists at firms including Geosyntec Consultants, Leggette Brashears & Graham, and Intera Inc. She teaches advanced courses in environmental geochemistry and supervises thesis research focused on contaminant hydrology. Her laboratory investigations frequently involve collaborative field work at the Borden Aquifer research site in Ontario, Canada, where she examines lithofacies controls on contaminant transport properties.

• Machine Learning
• Time Series Analysis
• Space Weather Prediction
• +4 more

Soukaina Filali Boubrahimi serves as an Assistant Professor in the Computer Science Department within the College of Engineering at Utah State University. Her academic appointment is based in the SER 332 building located at 4205 Old Main Hill, Logan, UT 84322-0001. She maintains a research-active position with a focus on computational methods for complex temporal data analysis. Dr. Filali Boubrahimi's research program centers on time series analysis , machine learning , and space weather prediction , with particular emphasis on solar flare forecasting and counterfactual explanation systems. Her work bridges theoretical machine learning advancements with practical applications in heliophysics, hydrology, and social media analysis. The research portfolio demonstrates significant expertise in handling imbalanced temporal datasets, developing novel data augmentation techniques, and creating interpretable AI systems for critical prediction tasks. Analysis of her recent publication trajectory reveals consistent contributions to counterfactual explanation frameworks for time series data (Info-CELS, M-cels, ACTS), space weather prediction systems (solar flare and energetic particle event forecasting), and generative modeling approaches (AVATAR, ChronoGAN). Her work frequently addresses the challenges of severely imbalanced datasets through contrastive learning and sophisticated preprocessing techniques, demonstrating methodological innovation in handling rare but critical space weather events. While no specific awards are documented in the available information, her research program appears substantial based on the volume and quality of recent publications spanning multiple high-impact domains. The research demonstrates strong interdisciplinary connections between computer science, space physics, and environmental science. Her laboratory activities focus on developing machine learning frameworks for temporal data analysis, with particular attention to space weather prediction systems. The research group appears to specialize in creating robust models for rare event prediction, explainable AI systems for time series classification, and novel data augmentation techniques for imbalanced temporal datasets. Current projects likely include the development of multimodal fusion approaches for solar energetic particle prediction and spatio-temporal modeling for hydrological applications.

• Hydrogeology
• Groundwater
• Stochastic Modelling
• +16 more

Dr. Alraune Zech is an Assistant Professor for Computational Environmental Hydrogeology at Utrecht University, Faculty of Geosciences, Department of Earth Sciences, Hydrogeology group. Her research focuses on groundwater flow and transport processes in heterogeneous environments, with emphasis on practical applications in contaminated aquifers, PFAS remediation, and construction-related groundwater issues. She is affiliated with the Helmholtz-Centre for Environmental Research and serves as convener for EGU sessions on contaminant transport. Dr. Zech's educational background includes: PhD in Computational Hydrosystems from Friedrich-Schiller-University Jena and Helmholtz-Centre for Environmental Research (2010-2013) Prediploma Degree in Business Mathematics from University Leipzig (2011) Diploma in Mathematics with minor in Chemistry from University Leipzig (2003-2009) Her research interests span hydrogeology, groundwater modeling, and environmental remediation. She specializes in stochastic and computational modeling of subsurface processes, with focus on contaminated aquifers, PFAS removal strategies, biodegradation, bioremediation, and heat transport in the subsurface. Her work bridges theoretical approaches with practical applications in construction engineering and environmental protection. Analysis of Dr. Zech's recent publications (2021-2025) reveals strong focus on advancing hydrogeological modeling techniques, particularly in aquifer heterogeneity characterization, machine learning applications in hydrogeology, and practical remediation strategies. Her work spans fundamental research on pore-scale processes to field-scale applications, with increasing integration of artificial intelligence methods for solving complex groundwater problems. Dr. Zech leads several significant research projects: Living Lab PFAS Remediation (2024-2028): Developing strategies for PFAS contamination SilPit (2024-2028): Studying erosion of silicate grouting in construction pits MIBIREM (2022-2027): Creating innovative technological toolbox for bioremediation She actively supervises multiple PhD students including Alexandra Hockin, Kim Bartsch, Mahammad Valibeknejad, Sona Aseyednezad, Hannah Gebhardt, and Martijn van Leer. Her research is supported by funding from the Ministry of Infrastructure and Water Management, NWO, and EU Horizon programs.