جست‌وجوی استاد و پژوهشگر

Jan Seibertمشاهده پروفایل

استاد

• Hydrology
• Water Resource Management
• Hydrological Modeling
• +۳ مورد دیگر

Prof. Dr. Jan Seibert is a hydrologist at the University of Zurich's Department of Geography, Faculty of Science. His research spans field studies, hydrological modeling, and citizen science applications, with a particular focus on water resource management, climate change impacts, and interactive educational tools. His work includes global and regional hydrological modeling, drought analysis, and development of citizen science platforms such as CrowdWater. He has contributed to understanding water level dynamics, geological influences on streamflow, and biogeochemical transport models. Recent publications (2024-2025) emphasize climate change effects on mountain runoff, transboundary water systems, drought-media interactions, and innovative modeling frameworks like BioRT-HBV. His articles also explore flood risk assessment, reforestation impacts, and temporal-spatial analysis of hydrological variables.

• Paleobiology
• Ecological Statistics
• Evolutionary Biology
• +۷ مورد دیگر

Trond Reitan is a Researcher at the Centre for Planetary Habitability at the University of Oslo . His work bridges paleobiology, statistical ecology, and hydrological modeling, employing advanced Bayesian inference and stochastic differential equations to analyze ecological and evolutionary patterns across diverse systems. Key research areas include: fossil community dynamics, plant-pollinator networks, and climate-biodiversity interactions Active in computational modeling and statistical methodology development Collaborates across disciplines from primatology to genomics Scientific publications (15 most recent) demonstrate expertise in: Stochastic processes and Bayesian inference in ecological modeling Time series analysis of paleobiological datasets Climate change impacts on species interactions Evolutionary implications of genetic repeat variation Hydrological influences on avian breeding patterns Computational frameworks for community stability analysis

Jasper Vrugtمشاهده پروفایل

استاد

• Hydrology
• Computational Science
• Geophysics
• +۴ مورد دیگر

Jasper Vrugt is a Professor at the University of California, Irvine, with joint appointments in Civil and Environmental Engineering and Earth System Science. He holds a Ph.D. (2004) and M.S. (1999), both earned cum laude from the University of Amsterdam. His research focuses on complex Earth system dynamics through integrated numerical modeling, measurement techniques, and inverse methodologies. Research interests span computational science, hydrology, geophysics, and uncertainty quantification. Key themes include diagnosing epistemic errors in models, quantifying uncertainty in environmental predictions, and developing next-generation inference methods. Applications range from soil moisture-precipitation feedbacks to carbon-nitrogen cycling and hydropower optimization. His recent publications demonstrate strong emphasis on Bayesian uncertainty quantification, diagnostic model evaluation, and climate-hydrology interactions. Trends include advanced statistical methods for nonstationary extremes, soil moisture-cloud coupling, and novel sensitivity analysis techniques. Dr. Vrugt leads an active research group advising multiple graduate students. His team develops computational tools for environmental modeling and maintains collaborations with institutions like Los Alamos National Laboratory.

• Geology
• Geochemistry
• Mineral Resources
• +۸ مورد دیگر

Tamer Abu-Alam is a University Lecturer at the Department of Arctic and Marine Biology, UiT The Arctic University of Norway. His work bridges geology, geochemistry, and environmental science with a focus on mineral resources, groundwater systems, and polar research. He collaborates extensively across North Africa, the Middle East, and South Asia on projects ranging from ore-forming fluid analysis to AI integration in higher education. Key affiliations: Arctic Sustainability Lab, CloudEARTH project Notable collaborations: Open Polar database initiatives His research spans Neoproterozoic tectonics , hydrochemical assessments , and GIS-based resource mapping . Recent publications highlight his contributions to understanding fluorite deposits in Tunisia, groundwater potential in Morocco, and metamorphic processes in East Antarctica. He also explores interdisciplinary topics like AI in education and sustainable blue foods in Northern Norway. Selected publications from 2025-2022 demonstrate consistent output in high-impact journals like Minerals , Precambrian Research , and Scientific Reports . His work often integrates field studies with advanced analytical techniques such as LA-ICP-MS, thermodynamic modeling, and stable isotope analysis.

J.P. Gannonمشاهده پروفایل

دانشیار

• Hydrology
• Environmental Science
• Catchment Hydrology
• +۳ مورد دیگر

J.P. Gannon is an Associate Professor in the Department of Forest Resources and Environmental Conservation at Virginia Tech, part of the College of Natural Resources and Environment. His academic focus bridges hydrology, environmental informatics, and undergraduate education. Education: B.S., College of New Jersey, 2007 M.S., Virginia Tech, 2010 Ph.D., Virginia Tech, 2014 Research Interests: Streamflow generation processes, catchment hydrology, and the application of remote sensing and geospatial technologies to environmental challenges. He emphasizes undergraduate involvement in research, particularly through classroom projects and independent studies. Teaching: Courses include Hydroinformatics , Environmental Data Science Capstone , and Information Technologies for Natural Resource Management . He develops innovative teaching tools like the R Shiny web apps for exploring water balance and discharge dynamics. Publications: Recent work focuses on runoff generation frameworks, stream intermittency, and hydrologic education strategies. His research often integrates field data with computational modeling. Labs/Teams: Collaborates with the Hubbard Brook Experimental Forest and other institutions to advance hydrological understanding through interdisciplinary projects.

Francisco Muñoz-Arriolaمشاهده پروفایل

استاد

• Hydroinformatics
• Integrated Hydrology
• Climate Analytics
• +۵ مورد دیگر

Francisco Muñoz-Arriola is a Professor in Hydroinformatics and Integrated Hydroclimate at the Department of Biological Systems Engineering and the School of Natural Resources at the University of Nebraska-Lincoln. His work bridges diagnostics and prognostics of extreme hydrometeorological events with their impacts on water, agriculture, and ecosystems. Ph.D., Civil and Environmental Engineering, Duke University M.S. and B.S. in Coastal Oceanography and Oceanography, Universidad Autónoma de Baja California His research focuses on: Climate-resilient water infrastructure design Integrated hydrology (water quality, quantity, ecosystem resilience) Remote and proximal sensing applications Coupled natural-human systems Data science for climate extremes and sustainability The 15 most recent publications highlight interdisciplinary trends in maize yield predictability via genetic-by-environment frameworks, streamflow-sediment dynamics under dam regulation, and AI-driven plant phenotyping. Keywords span Agriculture , Climate Science , Remote Sensing , and Complex Systems . Scientific awards include: NSF Interdisciplinary Methods for Disaster Research Fellow (2015–2016) University of Nebraska-Lincoln Inclusion and Diversity Faculty Fellow (2018–present) Daugherty Water for Food Institute Faculty Fellow (since 2014) Multiple teaching and research recognition awards (2013–2023) He has secured over $5 million in grants, including projects with USDA, NSF, NASA, and USGS, focusing on irrigation sustainability, OpenET satellite data adoption, and Indigenous community engagement in climate resilience. His lab develops tools like CLIM4OMICS and CoSegPP for data integration and plant phenotyping analytics.

• Hydrology
• Soil Erosion Modelling
• Climate Change Impacts
• +۵ مورد دیگر

Prof. Bofu Yu is a Professor in Hydrology at Griffith University's School of Engineering and Built Environment, serving as Head of the Civil and Environmental Engineering Discipline. He specializes in hydrologic modeling, soil erosion, and climate impacts, with leadership roles including Head of School and academic program management. His research focuses on rainfall erosivity, infiltration modeling, and sediment transport, with contributions to the CLIGEN and WEPP models. He has led numerous funded projects in Australia and internationally, addressing land degradation, water resources, and climate change. Prof. Yu holds a PhD from Johns Hopkins University and BSc from Peking University, with extensive consultancy experience for state and federal agencies. He advises over 15 doctoral and masters students, focusing on hydrology, climate change, and environmental engineering. Education: BSc, Peking University (1978–1981) PhD, Johns Hopkins University (1986) Graduate Certificate in Higher Education, Griffith University (1996) His research interests span hydrology, climatology, and water resources engineering, with global collaborations. Notable projects include the Global Rainfall Erosivity Database (GloREDa) and studies on land use changes. He contributes to the Australian Rivers Institute and has supervised over 20 doctoral projects, addressing topics like sediment dynamics, rainfall modeling, and climate extremes.

• Nutrient Dynamics
• Freshwater Ecology
• Aquatic Ecosystem Restoration
• +۴ مورد دیگر

Dr. Jing Lu is a Research Fellow at the Australian Rivers Institute, Griffith University, within the School of Environment and Science (Environment and Marine department). Her work focuses on nutrient dynamics, aquatic ecosystem restoration, and the application of ecological engineering. She holds two PhDs: one from the University of Chinese Academy of Sciences (2017) and another from Griffith University's Australian Rivers Institute (ARI). Her research spans nutrient transformations in catchments, invasive species impacts, and the development of nutrient offset projects. Key research interests include freshwater ecology, water quality management, and the efficacy of green infrastructure. She has contributed to projects like the 'Building Catchment Resilience' initiative and is currently advancing bioassay techniques to assess ecosystem responses to nutrient sources. Her work integrates field studies, modeling, and interdisciplinary collaboration to address environmental challenges. Dr. Lu has secured grants totaling over $2.5M, including an Australian Research Council (ARC) Linkage grant (2024–2027) and consultancy projects with state agencies. She supervises doctoral students in topics like algal toxicology, nutrient loads, and flood-drought dynamics in agricultural catchments. Education : PhD in Aquatic Ecology, University of Chinese Academy of Sciences (2017) PhD in Environmental Science, Australian Rivers Institute, Griffith University Grants : ARC Linkage Project: $2.5M for river health research (2024–2027) Consultancy: Nutrient offset modeling and stormwater quality analysis (2023–2025) Labs/Teams : Australian Rivers Institute, part of Griffith Sciences

George Allenمشاهده پروفایل

دانشیار

• Hydrology
• Remote Sensing
• Fluvial Geomorphology
• +۴ مورد دیگر

George Allen is an Associate Professor in the Department of Geosciences at Virginia Tech's College of Science. His research focuses on using satellite remote sensing to study freshwater resources, including rivers, lakes, and wetlands. He applies multispectral, thermal, and radar data to understand water movement and geomorphological changes driven by climate and land use. His work emphasizes conservation and sustainable management of surface water resources. Education: PhD (Geological Sciences, UNC Chapel Hill, 2017), MS (Geological Sciences, UNC Chapel Hill, 2012), BS (Geology, UC Davis, 2008). Research Interests: Remote sensing of surface hydrology, water quality, fluvial geomorphology, limnology, and climate change impacts. His team uses field methods, computer models, and sensor data to analyze water body dynamics. Grants & Advising: Supervised postdoc Katie McQuillan. Active in grants related to SWOT satellite missions and global hydrology studies. Collaborates with institutions like NASA JPL and the University of North Carolina. Labs/Teams: Leads the Global Rivers Group, focusing on satellite hydrology and global surface water dynamics. Develops algorithms like RivWidthCloud for automated river width extraction.

• Artificial Neural Networks
• Sediment Transport
• GIS Applications
• +۷ مورد دیگر

Prof. Gökmen Tayfur is a Professor in the Department of Civil Engineering at Izmir Institute of Technology. His research focuses on hydrology, water resources engineering, sediment transport, and environmental modeling. He has a strong background in applying artificial neural networks (ANN), GIS, and fuzzy logic to solve complex engineering problems. Education: B.S. in Civil Engineering, Istanbul Technical University M.S. in Civil Engineering, Istanbul Technical University PhD in Civil Engineering, University of California, Davis Research Interests: Integrated hydrological modeling Flood risk assessment and mitigation Earth-fill dam breach dynamics Meteorological drought monitoring GIS-based sediment transport analysis Recent Research Trends (2020–2025): His work emphasizes innovative approaches to dam safety analysis, climate change impacts on water resources, and development of predictive models for sediment transport and flood propagation in urban settings. Recent studies highlight applications in Afghanistan, Somalia, and Morocco. Grants and Collaborations: Active in international collaborations focusing on arid region water management and disaster resilience. Holds multiple grants related to hydrological modeling and infrastructure safety. Labs/Teams: Leads research groups in hydraulic engineering and environmental systems within the Izmir Institute of Technology, collaborating with global institutions on dam safety and drought management initiatives.

• Hydrology
• Earth Science
• Climate Science
• +۳ مورد دیگر

Anna Luisa Hemshorn de Sánchez is a Researcher at the Vrije Universiteit Amsterdam , affiliated with the Faculty of Science and the Earth and Climate department. Her email address is a.l.hemshorndesanchez@vu.nl . University: Vrije Universiteit Amsterdam School: Faculty of Science Department: Earth and Climate Academic Rank: Researcher Research Interests Hydrology Earth Science Climate Science Water Balance Streamflow Analysis Low Flow Dynamics Recent Publication In 2025, she co-authored an article titled Annual memory in the terrestrial water cycle in Hydrology and Earth System Sciences , focusing on time series modeling, hydrological memory, and water balance dynamics.

Kieran Huntمشاهده پروفایل

پژوهشگر ارشد

• Tropical Meteorology
• Machine Learning Applications
• Extreme Weather Events
• +۳ مورد دیگر

Dr. Kieran Hunt is a NERC Principal Research Fellow in Tropical Meteorology and AI at the University of Reading's Department of Meteorology. He holds additional roles as Chair of the CLIVAR Asian-Australian Monsoon Working Group's extreme weather subgroup, Co-Director of the Hub for Applied Weather and Climate at Reading, and Associate Editor of the Journal of Geophysical Research: Machine Learning and Computation . His research focuses on tropical dynamics, machine learning applications in meteorology, extreme weather in South Asia, hydrology, and renewable energy systems. Current research includes the MITRE project exploring explainable AI for natural hazard prediction in India. Past projects include BITMAP (funded by the Belmont Forum), INCOMPASS (NERC-funded), and IMPROVE (UK Met Office-Indian collaboration). He supervises multiple PhD students across institutions like IIT Kharagpur and the University of Reading. Key publications highlight AI-driven streamflow forecasting, energy demand modeling, and climate variability studies. His work bridges traditional meteorology with machine learning innovations, addressing challenges in weather prediction, renewable energy integration, and climate resilience.

Jonathan Greenbergمشاهده پروفایل

دانشیار

• Remote Sensing
• Climate Change
• Ecosystems
• +۳ مورد دیگر

Jonathan Greenberg is an Associate Professor in Remote Sensing at the Department of Natural Resources & Environmental Science, University of Nevada, Reno. He is affiliated with the Max C. Fleischmann College of Agriculture, Biotechnology & Natural Resources. His research focuses on using remote sensing technologies like LiDAR, hyperspectral imaging, and satellite data to study climate change impacts on ecosystems, vegetation dynamics, and land-use changes. Key areas include vegetation response to climate shifts, wildfire fuel dynamics, and carbon sequestration modeling. Greenberg holds a B.S. from Boston University (1996) and a Ph.D. from the University of California, Davis (2004). His work integrates geospatial analysis with environmental science, emphasizing high-resolution data for ecological monitoring and management. He leads the Global Environmental Analysis and Remote Sensing Lab, advancing methods for large-scale environmental data processing. Recent research highlights include quantifying climate-driven vegetation changes across the U.S., developing robust geospatial analysis tools, and modeling fire behavior and carbon dynamics in California forests. His interdisciplinary approach bridges remote sensing innovations with ecological and climatic challenges, addressing critical issues like wildfire mitigation and climate adaptation. Greenberg has contributed to over 50 peer-reviewed publications since 2005, with a focus on remote sensing applications in vegetation mapping, hydrology, and ecosystem modeling. His lab collaborates on projects such as the GigaFire initiative, leveraging cloud computing for large-scale fuels and carbon mapping.

• Hydrometeorology
• Urban Climate Resilience
• Tropical Cyclone Impacts
• +۳ مورد دیگر

Alka Tiwari is a Postdoctoral Fellow in Extreme Rainfall & Urban/Tropical Studies at the Department of Earth and Planetary Sciences, Jackson School of Geosciences, The University of Texas at Austin. Her research focuses on the intersection of hydrometeorological extremes, urban climate resilience, and community vulnerability. Research interests: Hydrological impacts of tropical cyclones Urban infrastructure resilience Climate change adaptation in marginalized communities Integration of satellite data and AI in flood modeling Recent publications emphasize the use of satellite precipitation products (IMERG, CYGNSS, SMAP) for hydrological analysis, streamflow prediction challenges, and interdisciplinary approaches combining physical and social factors in climate resilience studies. Her work often addresses the Brown Ocean Effect and post-landfall cyclone behavior. Contact: alka.tiwari@jsg.utexas.edu

Paolo Burlandoمشاهده پروفایل

استاد

• Water resources management
• Hydrology
• Climate change impacts
• +۵ مورد دیگر

Prof. Paolo Burlando is a Full Professor of Hydrology and Water Resources Management at ETH Zurich's Department of Civil, Environmental and Geomatic Engineering. He holds a Degree in Civil Engineering (Hydraulics) from the University of Genoa (1984) and a PhD in Hydraulic Engineering (Hydrology) from Politecnico di Milano (1989). His research focuses on water resources planning, rainfall analysis, hydrologic extremes, climate change impacts, and mountain hydrology. He has led numerous international projects including ACQWA (EU FP7), AWAS (SNSF), and FUGE (NRP 61). He is a member of committees such as the Swiss Academy of Natural Sciences and the Scientific Board of the Hydrological Atlas of Switzerland. His work integrates field measurements, numerical modeling, and interdisciplinary approaches to address environmental challenges like glacier dynamics and floodplain ecosystems. Education: PhD in Hydrology (Politecnico di Milano, 1989) Key Research Areas: Glacier melt modeling, precipitation scaling, and hydrological extremes His projects explore topics such as climate change impacts on water resources, alpine hydropower systems, and sediment-vegetation interactions. Recent studies include bias correction of regional climate models and lidar-based snow ablation monitoring.