جست‌وجوی استاد و پژوهشگر

Zahra Kalantariمشاهده پروفایل

دانشیار

• Climate Change Impact on Water Resources
• Hydrology and Water Resources Management
• AI and Machine Learning in Environmental Science
• +۳ مورد دیگر

Zahra Kalantari is an Associate Professor in Environmental and Engineering Geosciences at KTH Royal Institute of Technology, and Director of WaterCentre@KTH. She is a Docent in Physical Geography and holds leadership roles in Digital Futures, a cross-disciplinary research center at KTH. Her research focuses on climate change impacts on water resources, integrating AI and machine learning with geospatial data to address global sustainability challenges. She leads projects such as DeepAqua, CASCADE, and RESOLVE, funded by organizations like C3.ai DTI, Formas, and the EU. Key areas include hydrological extremes, nature-based solutions, and carbon neutrality. She advises over 20 PhD and postdoc researchers, and serves as an associate editor for journals like Nature Scientific Reports and Water Resources Research. Her work combines frontier technologies with participatory approaches to tackle water-related disasters, urban resilience, and climate adaptation. Notable contributions include quantifying soil carbon sequestration via deep reinforcement learning, and developing frameworks for flood risk reduction in vulnerable regions. She collaborates across disciplines at the Stockholm Trio University Alliance and engages in policy-oriented research through initiatives like SATORI Lab.

Vidya Samadiمشاهده پروفایل

استاد پژوهشی

• Hydroinformatics
• Machine Learning
• Water Resources Management
• +۱۲ مورد دیگر

Vidya Samadi is a Research Professor at Clemson University, leading the Hydroinformatics Research Group. Her work bridges cyberinfrastructure, data analytics, and water resources management across interdisciplinary domains, including the College of Agriculture, College of Engineering, and School of Computing. She focuses on creating sophisticated, user-friendly software to address complex water management challenges. Her research interests span Machine learning for hydrology and flood prediction Deep learning architectures (e.g., Transformers, recurrent networks) Reinforcement learning applications in irrigation and reservoir management Cyberinfrastructure development for water science Uncertainty quantification in hydrological models Explainable AI for environmental decision-making Recent publications highlight trends in applying cutting-edge ML/DL models (N-BEATS, N-HiTS, Transformers) to soil moisture prediction, flood analytics, and irrigation optimization. Her work integrates physics-informed neural networks, probabilistic frameworks, and multimodal data (e.g., satellite imagery, sensor networks) for scalable water management solutions.

• Environmental Hydraulics
• Flood Modeling
• Bridge Resilience
• +۳ مورد دیگر

Dr. Gustavo De Almeida serves as an Associate Professor at the University of Southampton's Faculty of Engineering and Physical Sciences. He is actively engaged with the Water and Environmental Engineering Group and the Environmental Hydraulics research team within the Southampton Marine and Maritime Institute, contributing to cutting-edge research in hydraulic engineering and flood risk management. His research expertise spans several critical areas in environmental engineering: Advanced computational modeling of flood dynamics using physics-informed neural networks Bridge infrastructure resilience against flood-induced debris accumulation Coastal and river engineering solutions for climate adaptation Ecohydraulic design considerations for fish passage and habitat conservation Computational efficiency improvements in shallow water equation modeling Dr. De Almeida leads significant research initiatives including the EPSRC-funded REAL project (River, Estuary and Coastal resilient infrastructure testing flume), which develops experimental infrastructure for testing flood resilience. He has successfully completed major projects such as DEBRIF (Debris Effects on BRIdge resilience and Flooding) and CHANCE (Understanding compound flooding in the past, present and future for North Atlantic coastlines), demonstrating his capacity to secure substantial research funding and deliver impactful results. His publication record reveals a strategic research trajectory focusing on computational hydraulic modeling with increasing sophistication in machine learning applications. Recent work demonstrates innovative approaches to flood simulation without requiring labeled training data, while maintaining strong connections to practical engineering challenges like bridge scour, debris accumulation, and ecohydraulic design. This blend of theoretical advancement and practical application characterizes his distinctive research approach. Professional recognition includes the prestigious University of Bristol Vice-Chancellor's Impact Award (2013), acknowledging the real-world significance of his research. His expertise is sought beyond academia, as evidenced by consultancy work for the Sunshine Coast Council in Australia, where he evaluated modeling alternatives for coastal management. Dr. De Almeida actively contributes to academic development through supervision of PhD researchers including Nahum Allan Banks and Laura Elizabeth Coombs in Engineering and Environment. His research collaborations span multiple institutions and disciplines, reflecting the interdisciplinary nature of modern environmental engineering challenges. The Water and Environmental Engineering Group provides Dr. De Almeida with state-of-the-art experimental facilities including hydraulic flumes and computational resources that support his innovative research in environmental hydraulics and flood modeling. His work directly informs infrastructure design standards and climate adaptation strategies worldwide.

Anne van Loonمشاهده پروفایل

دانشیار

• Drought Risk Analysis
• Groundwater Drought
• Flood Risk Management
• +۴ مورد دیگر

Dr. Anne van Loon is an Associate Professor in Drought Risk at the Institute for Environmental Studies (IVM) within the Faculty of Science at Vrije Universiteit Amsterdam. She specializes in interdisciplinary drought and flood risk science, focusing on hydrological processes, human-water interactions, and climate adaptation. Her work integrates quantitative and qualitative methods, including modeling, workshops, and participatory approaches. Education: PhD in Drought Propagation (Wageningen University, 2013) MSc in Hydrology and Water Quality (Wageningen University, 2006) BSc in Soil, Water and Atmosphere (Wageningen University, 2002) Research Interests: Propagation of drought and flood risks Groundwater drought dynamics Climate risk storylines and adaptation pathways Interdisciplinary methodologies for socio-hydrological systems Her current projects include the ERC-funded PerfectSTORM project on drought-to-flood disasters, the EU-funded RECEIPT project on climate risk storylines, and collaborations in southern Africa (Connect4WR) and Europe (GDI). Grants and Projects: ERC Starting Grant: PerfectSTORM (2021–2026) I-CISK Project: Climate Services Integration (2021–2025) DOWN2EARTH: Drought Risk Modeling in Eastern Africa Labs/Teams: Leads the Water & Climate Risk group at IVM, collaborating with global networks on socio-hydrological research and disaster risk reduction.

Jonathan Lamontagneمشاهده پروفایل

دانشیار

• Water Resources
• Decision Making Under Uncertainty
• Hydrologic Statistics
• +۴ مورد دیگر

Jonathan Lamontagne is an Associate Professor in the Department of Civil and Environmental Engineering at Tufts University’s School of Engineering. He holds a Ph.D. and M.S. in environmental water resources systems analysis from Cornell University (2015 and 2014) and a B.S. from the University of New Hampshire (2009). Prior to joining Tufts in 2017, he was a postdoctoral researcher at Cornell, focusing on integrated human-climate system modeling. Affiliations: Tufts University, Lamontagne Lab, and collaborations with institutions like U.S. Department of Energy and National Science Foundation. Grants: Lead on NSF-funded projects on data-driven decision making, integrated food-energy-water nexus modeling, and Massachusetts hydrologic risk studies. Research Interests: His work centers on decision-making under uncertainty, hydrologic statistics, and integrated global change assessment. Key areas include flood frequency analysis, climate mitigation impacts on water resources, and multisector systems modeling. He emphasizes robust infrastructure planning and explores compounding risks from economic/population growth uncertainties. Publications: Recent work highlights include analyzing unintended consequences of climate policies on African river basins, quantifying economic impacts of water scarcity, and developing robust statistical frameworks for hydrologic data. His research bridges hydrology, energy systems, and socioeconomic factors to address climate adaptation challenges. Awards: 2017 ASCE Outstanding Reviewer Award for contributions to peer review. Teaching: Courses include Statistical Inferences & Prediction , Integrated Planning & Management , and Water Resource Systems . He mentors students in stochastic modeling and decision analysis. Labs/Teams: Leads the Lamontagne Lab, focusing on improving decision-making for complex multisector systems. Collaborates with global teams on energy-water nexus studies and climate resilience projects.

• Climatology
• Extreme Weather Events
• Hydrology
• +۳ مورد دیگر

Emanuele Bevacqua is a climate researcher at the University of Reading, specializing in compound weather extremes, coastal flooding, and climate change impacts. His work bridges climatology, hydrology, and environmental science to analyze synergistic hazards. Key Research Areas: Extreme event attribution, compound flooding mechanisms, precipitation-storm surge interactions, and climate modeling uncertainties. Recent Trends: Focus on anthropogenic influences in extreme weather, wintertime precipitation patterns, and non-robust climate projections across multi-model datasets.

Paul Williamsمشاهده پروفایل

مدرس

• Plant-Soil Interactions
• Soil Health
• Biogeochemistry
• +۳ مورد دیگر

Dr. Paul Williams is a Lecturer at the School of Biological Sciences, Queen's University Belfast. With over 70 publications and an h-index of 31, he specializes in plant-soil interactions, soil health, and biogeochemical processes, particularly focusing on arsenic speciation in rice ecosystems. His work combines the DGT (Diffusive Gradients in Thin-films) technique with agrifood system analysis to address global food security challenges. Research Focus Plant-soil-water continuum dynamics Arsenic and selenium cycling in agricultural systems Biogeochemical approaches to nutrient management High-resolution DGT-based environmental monitoring Climate-resilient soil management Heavy metal bioavailability in tropical peatlands Article Trends His recent work spans 2014-2023, emphasizing biogeochemical cycling, DGT methodology, and heavy metal dynamics in rice systems. Key themes include atmospheric arsenic deposition, microbial metal transformation, and sustainable nutrient management across Bangladesh, China, and Malaysia. Subfields cover rhizosphere redox processes, XRF soil analysis, and remediation of contaminated soils. Scientific Awards Major award and UK first for Queen's Biological Sciences Lecturer Advising & Collaborations Dr. Williams has supervised PhD students across topics like biosolids impact analysis, cover crop optimization, and rice rhizosphere chemistry. Current projects address global phosphorus challenges and arsenic mitigation strategies. Former students include researchers now at ETH Zurich and Warsaw University of Technology.

Juliane Maiمشاهده پروفایل

عضو هیئت علمی

• Computational Hydrology
• Hydrological Modeling
• Sensitivity Analysis
• +۴ مورد دیگر

Juliane Mai is a Research Associate Professor at the University of Waterloo's Department of Earth and Environmental Science and a former Research Scientist at the Helmholtz Centre for Environmental Research (UFZ) in Leipzig. Her work focuses on computational hydrology, model calibration, sensitivity analysis using high-performance computing, and data dissemination tools like HydroHub and CaSPAr. She develops blended hydrological models that combine multiple process implementations and leads large-scale intercomparison projects (GRIP-E, GRIP-GL) across North America's 3,000+ basins. Her research bridges environmental modeling with machine learning and data science, emphasizing open-access platforms for stakeholders. Key projects: GRIP-E/GRIP-GL model intercomparisons Methodological innovations: xSSA, EEE, MVA sensitivity techniques Created data portals: HydroHub for visualization, CaSPAr for climate data Her 2023 Journal of Hydrology paper outlines calibration strategies for environmental models, while 2022 Nature Communications work quantifies process sensitivities across North America. She received the 2023 ASCE-EWRI best case study award for GRIP-E research and serves on editorial boards like Journal of Hydrology .

Hamed Moftakhariمشاهده پروفایل

دانشیار

• Coastal Hydrology
• Hydrologic Modeling
• Compound Flooding
• +۱۲ مورد دیگر

Dr. Hamed Moftakhari is an Associate Professor in the Department of Civil, Construction and Environmental Engineering at The University of Alabama, where he contributes to the College of Engineering and conducts interdisciplinary research through the Center for Complex Hydrosystems Research and the Center for Sustainable Infrastructure. His research focuses on coastal hydrology, particularly the dynamics of estuarine systems, compound flooding, nuisance flooding, and the impacts of sea level rise on low-lying coastal communities. He investigates how interactions between inland hydrologic and coastal oceanic processes affect water, food, and energy resources, and how communities respond to these challenges. His work integrates artificial intelligence, geospatial analysis, data analytics, and climate modeling to improve flood resilience and risk assessment. The recent publications highlight a strong trend in developing advanced computational models for coastal hazard estimation, with emphasis on Bayesian methods, deep learning, data assimilation, and remote sensing. These works span applications across the U.S. Gulf Coast and focus on both extreme events and chronic flooding, reflecting a dual focus on acute disasters and long-term climate adaptation. NSF CAREER Award (2023) Early-Career Research Fellowship, National Academies (2020–2022) Cronin Award – Early Achievement, Coastal and Estuarine Research Federation (2021) Early Career Research Excellence and Innovation Award, College of Engineering, UA (2023) Faculty Excellence in Graduate Education Award, CCHE Department (2023) Early-Career Faculty Fellowship, Alabama Water Institute (2022–2025) Maseeh Graduate Fellowship (2012) Dr. Moftakhari advises graduate students and leads the Coastal Hydrology Lab (CHL), where he mentors researchers in hydrodynamic modeling and coastal resilience. His research is supported by grants from the National Science Foundation (NSF) and the National Oceanic and Atmospheric Administration (NOAA), including the prestigious NSF CAREER award. He also serves as an Associate Editor for the Journal of Hydrologic Engineering (ASCE) and on the editorial board of Scientific Reports (Nature). The Coastal Hydrology Lab (CHL) at UA focuses on improving scientific understanding of freshwater-influenced coastal systems such as estuaries, wetlands, deltas, and harbors. The lab utilizes emerging technologies and diverse data sources to study sediment supply, salinity intrusion, ecosystem responses, morphologic evolution under sea level rise, and compounding hydroclimate extremes like hurricanes.

Patricia Mares Nasarreمشاهده پروفایل

استادیار

• Coastal Engineering
• Hydraulic Structures
• Flood Risk Management
• +۳ مورد دیگر

Patricia Mares Nasarre serves as Assistant Professor in Hydraulic Structures and Flood Risk within Delft University of Technology's Faculty of Civil Engineering and Geosciences, specializing in coastal engineering and flood protection systems. Her academic foundation includes: PhD in Civil Engineering from Universitat Politecnica de Valencia (Spain) Dr. Mares Nasarre's research integrates advanced probabilistic modeling with coastal infrastructure resilience , focusing on wave-structure interactions, mound breakwater performance, and multivariate uncertainty in wind-wave dynamics. Her work addresses critical challenges in flood risk management and climate adaptation through physical modeling and computational analysis, with significant applications for coral reef-protected coastlines and aging hydraulic structures. Analysis of her 2025 publications reveals a strategic shift toward AI-enhanced risk assessment (using active learning for compound floods) and Bayesian network applications for ship-induced wave prediction, while maintaining core expertise in breakwater hydrodynamics. This dual focus bridges traditional coastal engineering with data-driven methodologies to improve lifecycle reliability predictions. No specific scientific awards are documented in the provided materials. Her professional trajectory combines academic instruction in probability theory with hands-on laboratory coordination for coastal flood protection studies and private-sector experience in structural reliability assessment. Current teaching responsibilities include advanced courses on dependence modeling and uncertainty analysis within TU Delft's engineering curriculum.

Felix Pohlمشاهده پروفایل

پژوهشگر

• Data-driven Ecosystem Analysis
• Drought Impact on Forest Carbon Cycling
• Hydrological Modeling
• +۳ مورد دیگر

Felix Pohl is a postdoctoral researcher at the Helmholtz Centre for Environmental Research (UFZ) in Leipzig, Germany, affiliated with the Department of Computational Hydrosystems . His work focuses on data-driven analysis of ecosystem fluxes and the impact of extreme weather events, particularly droughts, on environmental systems. Education : M.Sc. in Applied Physical Geography, University of Würzburg (2013-2016) B.Sc. in Geography with minor in Philosophy, University of Würzburg Dr. Pohl’s research investigates climatic and environmental changes , the impact of weather extremes on ecosystems , and mitigation strategies for climate change. He also emphasizes science communication and addressing climate change skepticism through interdisciplinary dialogue. His recent publications highlight trends in drought legacy effects , hydrometeorological modeling , and ecosystem phenology across temperate forests. Articles span topics like soil moisture dynamics , carbon cycling , and remote sensing applications for environmental monitoring. Scientific Recognition : Co-author on ASCE-EWRI 2023 Award-winning study (Mai et al., 2021) for Best Case Study in Hydrologic Engineering Dr. Pohl collaborates with teams at ICOS , TERENO , and 4DHydro projects, contributing to robust drought forecasting systems and high-resolution environmental data infrastructure .

Tim Leijnseمشاهده پروفایل

پژوهشگر

• Coastal Hazards
• Compound Flood Modelling
• Tropical Cyclones
• +۳ مورد دیگر

Tim Leijnse is a part-time PhD Candidate in the department of Water and Climate Risk at the Institute for Environmental Studies (IVM), Vrije Universiteit Amsterdam. He is also a coastal engineer at Deltares, where he has worked since 2018, focusing on coastal modeling and compound flooding research. Education : MSc in Hydraulic Engineering (TU Delft, 2018) BSc in Civil Engineering (TU Delft, 2015) Research Interests : Coastal hazards, compound flood modeling, tropical cyclones, storm surges, and wave propagation. His work emphasizes improving large-scale coastal flood risk assessments by integrating wave-driven components using models like Delft3D, SFINCS, and XBeach. Key Research Contributions : His publications address the role of waves in coastal flooding, probabilistic flood modeling, and uncertainty analysis in tropical cyclone forecasting. These studies highlight advancements in computational efficiency and coupled modeling techniques. Awards & Grants : No scientific awards listed. Active in the COASTMOVE project under Prof. Jeroen Aerts and Dr. Sanne Muis, focusing on coastal hazard mitigation. Labs & Collaborations : Collaborates with IVM, Deltares, and international partners (e.g., Australia, Bangladesh, Caribbean, EU). His work bridges academia and applied coastal engineering.

Yurui Fanمشاهده پروفایل

مدرس ارشد

• water and environmental systems analysis
• hydroclimatic extremes
• hydroinformatics
• +۱ مورد دیگر

Dr. Yurui Fan is a Senior Lecturer in Flood and Coastal Engineering at Brunel University's Civil and Environmental Engineering department within the College of Engineering, Design and Physical Sciences . His work bridges cutting-edge hydroinformatics with climate change adaptation strategies. Key Affiliations: Brunel University, Royal Society-funded projects, Canadian institutions (University of Regina, NSERC, CFI) Research Interests focus on four core areas: Water and environmental systems analysis using advanced computational models Hydroclimatic extremes through compound risk assessment frameworks Hydroinformatics integrating machine learning and copula methods Climate change impacts on water resources and infrastructure Publication Trends show a strong emphasis on climate-water-energy-food nexus systems (7/15 articles), machine learning applications in hydrology (5/15), and copula-based uncertainty quantification (4/15). Recent work explores Bayesian Vine Copula approaches and multi-criteria optimization under dual uncertainties. Awards & Grants include a Royal Society International Exchanges grant (2020-2022, £11.5k) and multiple Canadian funding sources like NSERC, CFI, and provincial ministries.

• Coastal Adaptation
• Climate Change
• Natural Hazards
• +۳ مورد دیگر

Romero Martin is a researcher at the Universitat Politècnica de Catalunya , affiliated with the Department of Civil and Environmental Engineering and the Laboratori d'Enginyeria Marítima (LIM/UPC) . His work focuses on coastal adaptation to climate change, with emphasis on erosion management, sea level rise mitigation, and sustainable tourism strategies along Mediterranean coastlines. Research interests: Coastal adaptation frameworks, hydrometeorological risks, sediment-based defense mechanisms Key collaborations: Prof. José A. Jimenez, Herminia Valdemoro, Álvaro Garola Recent publications explore coastal vulnerability assessment, storm surge impacts, and sediment management solutions. Active in competitive R&D projects like "Riesgos naturales compuestos y conectados" and "Y qué playas mantengo" . Available on ORCID , LinkedIn , and ResearchGate .

• Climate Dynamics
• Atmospheric Science
• Ocean-Atmosphere Interactions
• +۳ مورد دیگر

Len Shaffrey is a Professor at the University of Reading, specializing in climate dynamics, atmospheric science, and extreme weather events. His research focuses on understanding climate variability and change, particularly in the North Atlantic and European regions, with an emphasis on cyclone dynamics, storm tracks, and compound weather risks. He has contributed to studies on jet stream behavior, post-tropical cyclones, Arctic cyclones, and the impacts of climate change on precipitation patterns and flooding. Key research areas include the North Atlantic Oscillation, ocean-atmosphere interactions, and the predictability of extreme weather events. His work integrates high-resolution climate models and observational data to assess future climate risks for sectors like energy and maritime safety. Recent studies highlight the increasing risk of co-occurring extreme wind and flood events in Great Britain due to seasonal jet stream shifts. Shaffrey collaborates extensively with international teams, contributing to initiatives such as the HiGEM high-resolution climate model and the CANARI science program. His interdisciplinary approach bridges meteorology, oceanography, and environmental science, addressing pressing questions about climate resilience and adaptation strategies.