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Yuyu ZhouView profile

Professor

• Energy
• Renewable Energy
• Energy Modeling
• +7 more

Yuyu Zhou is a Professor in the Department of Geography at The University of Hong Kong. With an extensive publication record of 301 papers and over 18,000 citations, Dr. Zhou is a leading researcher in urban environmental studies, climate change, and sustainability science. Dr. Zhou received their PhD in Environmental Science from the University of Rhode Island (2004-2008) and previously worked as a Research Scientist at Pacific Northwest National Laboratory's Joint Global Change Research Institute (2010-2015). They currently serve as Chief Editor for Earth System Science Data (Copernicus Publications), Associate Editor for Ecological Processes, and Section Editor for All Earth. Dr. Zhou's research focuses on the intersection of urbanization, climate change, and environmental sustainability. Their work spans several key areas including urban heat island effects, vegetation phenology in urban environments, energy modeling, and sustainable urban development. Through innovative remote sensing approaches and spatial analysis, Dr. Zhou investigates how urban environments respond to and influence global environmental change. Analysis of Dr. Zhou's recent publications reveals a strong emphasis on urban environmental challenges, with particular attention to urban heat islands, vegetation dynamics, and climate change impacts in cities. Their work combines remote sensing data with ground observations to develop high-resolution models of urban environmental processes. Recent research has focused on urban greening effects, building energy use under climate change, and environmental justice issues related to urban heat exposure. Dr. Zhou has received significant recognition for their work, as evidenced by the high citation count of their publications. Their research has important implications for urban planning, climate adaptation strategies, and sustainable development policies worldwide. As an educator and mentor, Dr. Zhou advises numerous graduate students and collaborates with researchers globally. Their work with international teams has resulted in significant contributions to understanding urban environmental systems across different geographical contexts.

• Flood Hydrology
• Hydrology
• Water Resources
• +8 more

Alberto Viglione is an Associate Professor at the Politecnico di Torino , Department of Environment, Land and Infrastructure Engineering (DIATI), and a member of the Interdepartmental Center SmartData@PoliTO. He has been a faculty member since 2019, following a decade as a Research Fellow at the Vienna University of Technology. University: Politecnico di Torino Department: DIATI – Department of Environment, Land and Infrastructure Engineering Rank: Associate Professor Email: alberto.viglione@polito.it His research focuses on flood hydrology, water resources, and hydro-meteorological extremes , integrating statistical analysis, climate change impacts, land use dynamics, and socio-hydrological modeling. He investigates the spatio-temporal dynamics of climatic, hydrological, and human processes in river basins and their implications for extreme event risks. His work emphasizes data integration, conceptual modeling, and risk assessment across scales. The recent publications highlight a strong trend in analyzing European flood dynamics , the impacts of climate change , and the development of socio-hydrological frameworks that incorporate human behavior and societal memory into flood risk modeling. His research spans from statistical hydrology in ungauged basins to large-scale assessments of climate-flood interactions. Scientific Awards and Honors: AMGA Award for best PhD thesis on water resources (2009) Editorial and Professional Service: Associate Editor, Water Resources Research (2014–present) Associate Editor, Hydrological Sciences Journal (2012–2018) Associate Editor, WIRES Water (2012–2020) Associate Editor, Journal of Hydrology and Hydromechanics (2019–present) Scientific Committee Member, European Geosciences Union (2019–2023) Secretary, International Commission on Water Resources Systems, IAHS (2015–present) Teaching and Advising: He teaches courses such as Bayesian Inference , Applied Hydrology , Fundamentals of Environmental Geosciences , and Hydro-meteorological Risk Assessment . He is a PhD supervisor and member of multiple PhD colleges in Civil and Environmental Engineering at Politecnico di Torino. He currently advises PhD students including Tsion Ayalew Kebede , Emanuele Mombrini , Luigi Cafiero , Luca Lombardo , and Matteo Pesce . His research is supported by grants from national (PRIN), EU, and commercial sources, including projects like Clim2FlEx , RETURN , and ATO4WATER . Research Labs and Teams: He is affiliated with the SmartData@PoliTO laboratory, focusing on big data and data science applications in hydrology and environmental systems.

Chaopeng ShenView profile

Professor

• Hydrology
• Deep Learning
• Physics-Informed Machine Learning
• +9 more

Chaopeng Shen is a Professor in the Department of Civil and Environmental Engineering at Pennsylvania State University. His research bridges hydrology with state-of-the-art deep learning and differentiable modeling techniques, focusing on advancing our understanding of hydrologic cycles and their interactions with ecosystems, energy, and carbon cycles. He leads the Multi-scale Hydrology, Processes and Intelligence group (MHPI) and has developed the Process-based Adaptive Watershed Simulator (PAWS) for large-scale hydrologic modeling. Shen's work emphasizes physics-informed machine learning , where deep learning components are integrated with process-based equations through differentiable modeling. This approach enables training neural networks using big data while respecting physical laws, leading to improved generalizability and robustness. His group has demonstrated advantages of differentiable models in rainfall-runoff prediction, routing, ecosystem modeling, and water quality studies. Notably, his team's deepLDB project addresses landslide prediction using AI and big datasets. Recent publications highlight his contributions to global water modeling (grid-LSTM, differentiable Muskingum-Cunge routing), extreme flood forecasting (probabilistic diffusion models), and hydrologic uncertainty quantification . Shen actively engages in interdisciplinary collaborations through the PRISM Cooperative Institute, which aims to integrate multi-domain data for systemic risk assessment. His group has advised students including Dapeng Feng, Wen-Ping Tsai, Kuai Fang, Xinye Ji, and Tasnuva Mahjabin. Shen's research is supported by the National Science Foundation (NSF), Department of Energy (DoE), USGS, Google.org, and the Gates Foundation. He serves as Editor for the Journal of Geophysical Research - Machine Learning & Computation and Chief Editor for Frontiers in Water: Water & AI. His open-source software tools like PAWS and deepLDB are available through dedicated project websites.

Bernd KlauerView profile

Professor

• Water resources economics
• Ecological economics
• Environmental and resource economics
• +7 more

Prof. Dr. Bernd Klauer serves as Deputy Head of the Department of Economics at the Helmholtz Centre for Environmental Research (UFZ) since 2017 and holds an Honorary Professorship for Sustainability and Water Resources Management at the University of Leipzig since 2015. He leads the Working Group on Social Science Water Research and contributes to interdisciplinary projects spanning Germany, EU, Jordan, and India. Doctorate in Economics (1997), University of Heidelberg Diplom-Mathematiker (1992), University of Heidelberg His research integrates water economics with ecological economics and governance frameworks, focusing on hydro-economic modeling, water resource governance, decision support systems, and multi-criteria evaluation. Key application areas include Food-Water-Energy Nexus, Integrated Water Resource Management, and EU Water Framework Directive implementation. The 15 most recent publications reveal a strong emphasis on coupled human-natural systems modeling, climate change adaptation in agriculture, water scarcity governance, and socioeconomic analysis of informal water markets. His work consistently bridges technical hydrological models with economic decision-making frameworks across diverse geographic contexts. Current projects include FUSE (Food-Water-Energy Nexus) and NexusFootprints, while completed initiatives like the Jordan Water Project demonstrate his commitment to transboundary water challenges. He collaborates extensively with hydrologists, ecologists, and policy experts.

Ting SunView profile

Associate Professor

• Urban climate modelling
• Climate change impacts and adaptation
• Extreme weather events in cities
• +5 more

Dr Ting Sun is an Associate Professor in Climate & Meteorological Hazard Risks at University College London , Department of Risk and Disaster Reduction. He earned his BEng (2009) and PhD in Hydrology (2013) from Tsinghua University , followed by a visiting period at Princeton University (2011–2012). After postdoctoral appointments at Tsinghua and the University of Reading , he held a NERC Independent Research Fellowship at Reading (2017–2022) before joining UCL in May 2022. Education PhD in Hydrology, Tsinghua University, 2013 BEng in Hydraulic Engineering, Tsinghua University, 2009 Visiting PhD Student, Princeton University, 2011–2012 Research Interests Dr Sun’s work converges on urban climate modelling across scales —from neighbourhood blocks to global grids—focusing on the impacts of weather and climate extremes such as heat waves and extreme rainfall in cities. He is the lead developer of the Surface Urban Energy and Water balance Scheme (SUEWS) and its Python wrapper SuPy , developed in collaboration with Prof Sue Grimmond’s micromet group. He also contributes as a core member of the Urban Multi-scale Environmental Predictor (UMEP) development team. His multidisciplinary expertise integrates hydro-climate dynamics, computational modelling, machine learning, built-environment processes, and public-health linkages . Research Trends from Recent Publications Across the 15 most recent articles, a clear trajectory emerges from high-resolution urban-process modelling toward integrated socio-environmental assessments . Studies published in 2024–2025 couple atmospheric models (WRF-SUEWS) with global building-morphology datasets (GLAMOUR) to quantify how cities alter rainfall patterns, temperature sensitivity, and heat-related mortality. Earlier works progressively refined SUEWS’s physical parameterisations and Python accessibility, while recent outputs leverage deep-learning remote-sensing tools (SHAFTS) and hybrid hydrological-neural architectures to deliver actionable insights for urban planning and climate adaptation. Scientific Awards & Fellowships NERC Independent Research Fellowship , University of Reading, 2017–2022 HEA Fellowship , University College London, 2023 Professional Service & Editorial Roles Topic Editor , Geoscientific Model Development (from 2025) Editorial Board Member , Scientific Data (from 2024) Peer review and consultancy for journals, conferences, and policy bodies Supervision of taught-course projects and research degrees External examining and mentoring Labs, Teams & Collaborations Dr Sun leads and collaborates within the UCL Department of Risk and Disaster Reduction , working closely with the micromet group at the University of Reading (Prof Sue Grimmond) on SUEWS/SuPy development. He is an active member of the UMEP consortium and maintains extensive international collaborations spanning Tsinghua University, Princeton, and numerous European research centres, underpinning a vibrant, interdisciplinary research network focused on urban climate resilience.

• Climate Science
• Hydrology
• Biogeochemistry
• +3 more

Prof. Dr. René Orth is a Professor at the University of Freiburg, leading the Modelling of Biogeochemical Systems group. He focuses on land-atmosphere interactions, climate change impacts on vegetation and water systems, and Earth system modeling, with a particular emphasis on soil moisture-vegetation-climate feedbacks and extreme weather events. Education: MSc and BSc in Atmospheric and Climate Science from ETH Zurich (2010), BSc in Earth Science (2008), Erasmus exchange at University of Leeds. His research integrates biophysical and societal perspectives to improve climate projections and hydroclimatic forecasts. Key projects include the EU H2020 MYRIAD multi-hazard framework and the DFG Emmy Noether Group on Hydrology-Biosphere-Climate Interactions. His publications highlight vegetation responses to climate change, drought impacts, and the robustness of modeling approaches. He has supervised over 15 BSc, MSc, and PhD theses and actively reviews manuscripts and proposals for leading journals and funding agencies. Scientific awards include the ETH Excellence Scholarship, SNF Advanced Postdoc Mobility Grant, and DFG Emmy Noether Group Grant. René Orth is affiliated with the Max Planck Institute for Biogeochemistry (Jena), Die Junge Akademie, and the institute's graduate school (IMPRS-gBGC), contributing to science-policy interfaces and advancing climate science through interdisciplinary research.

Ousmane SeidouView profile

Professor

• Hydrological Modeling
• Climate Change Impacts
• Water Resources Management
• +4 more

Dr. Ousmane Seidou is a Full Professor in the Department of Civil Engineering at the University of Ottawa, where he has served since 2007. He leads the Hydraulics Lab and holds affiliations with the Faculty of Engineering's Centre for Indigenous Community Infrastructure. His academic journey includes a PhD from École Polytechnique de Montréal (2002) and postdoctoral research at the Institut National de la Recherche Scientifique, Quebec. Dr. Seidou specializes in climate change impacts on water resources, hydrological modeling, and transboundary water management. Education: Ph.D. in Civil Engineering (Hydraulics), École Polytechnique de Montréal (2002) M.Sc. in Water Resources Engineering, École Polytechnique de Montréal (2002) Postgraduate Diploma in Hydroinformatics, École Inter-États des Ingénieurs de l'Équipement Rural (1998) Undergraduate Degree in Civil Engineering, École Mohammadia d'Ingénieurs (1996) Research Focus: Dr. Seidou’s work integrates hydrological modeling with climate adaptation strategies, emphasizing Africa’s water security. Key areas include: Climate change impacts on river basins (e.g., Niger, Congo) Development of flood early warning systems in West Africa Water-Energy-Food-Environment (WEFE) nexus frameworks Environmental flow estimation in wetland ecosystems He leads international projects involving multi-country collaborations and agencies like the United Nations Development Programme and the World Bank. Recent Projects: Principal Investigator for the Niger Basin Authority’s WEFE Nexus initiative Technical leadership in the Dutch-funded BAM-GIRE project (Mali/Guinea wetlands) Development of flood early warning systems for Niamey and Gaya (Niger) Teaching: Courses include Climate Change Impacts on Water Resources, Advanced Hydrological Modeling, and Water Resources Management. He mentors PhD students in hydrology and climate adaptation. Grants & Funding: Secured multi-million-dollar projects with organizations like Wetlands International and the UAE-BELEM Programme. Recent funding includes $135,000 for hydrological modeling tools in the Niger Basin. Labs/Teams: Director of the Hydraulics Lab at the University of Ottawa. Active in global initiatives like the Global Goal on Adaptation (GGA) indicator development under the Paris Agreement.

• Hydrology
• Climate Change Impact Assessment
• Drought Monitoring
• +2 more

Ehsan Modiri is a researcher at the Department of Hydrosystem Modelling , Helmholtz Centre for Environmental Research (UFZ), Germany. His work focuses on climate change impacts on hydrological systems, drought monitoring, and environmental modeling using advanced computational frameworks. Affiliation: UFZ - Helmholtz Centre for Environmental Research Department: Hydrosystem Modelling Research Themes: Climate Change, Droughts, Hydrological Forecasting, Water Resource Management Research Interests: Modiri specializes in understanding hydrological responses to climate change, particularly in drought dynamics and soil moisture variability. His work bridges observational data with sophisticated modeling frameworks to improve predictability of water balance components under warming scenarios. Scientific Contributions: Recent publications highlight his role in developing high-resolution drought simulations, evaluating hydrological model performance, and analyzing groundwater responses to global warming. He participates in large-scale European hydrological projects and collaborates on climate-hydrology integration initiatives.

• Optimization Algorithms
• Smart Grids
• Renewable Energy Systems
• +3 more

Silvia Jiménez Fernández is an Associate Professor in the Department of Signal Theory and Communications at Universidad Autónoma de Madrid. Her research focuses on optimization algorithms, smart grids, renewable energy systems, telemedicine, and machine learning applications. She holds a Ph.D. from Universidad Politécnica de Madrid (2009), supervised by Dr. Francisco del Pozo Guerrero and Dr. Paula de Toledo Heras. Her work integrates interdisciplinary approaches, such as combining evolutionary algorithms with engineering challenges in energy systems and healthcare. Key contributions include advancements in coral reefs optimization algorithms for energy management, machine learning for battery health estimation, and telemedicine systems for chronic disease monitoring. Recent research trends emphasize hybrid learning models in education, multi-objective optimization in renewable energy systems, and risk analysis in smart grids with electric vehicles. She is affiliated with the GHEODE Research Group (Modern Heuristics and Network Design).

Zhi LiView profile

Assistant Professor

• Hydrological Modeling
• Flood Prediction
• Drought Monitoring
• +9 more

Zhi Li is an Assistant Professor at the University of Colorado Boulder's College of Engineering and Applied Science, Department of Civil, Environmental and Architectural Engineering. He leads the newly established Flood Lab, focusing on flood prediction and monitoring through remote sensing and coupled hydrologic-hydraulic models. Joined CU Boulder in Fall 2025 Former Dean's Postdoc Fellow at Stanford University PhD in Civil Engineering & Environmental Science from University of Oklahoma (2022) His research spans hydrological modeling , extreme events , and AI4Science applications, particularly in deep learning and intelligent agents for flood risk assessment. Li’s work also connects floods with public health and economic systems , aiming to develop the Flood-Agriculture-Climate-Economics-Disease (FACED) framework. Key Themes: High-resolution flood modeling Climate change impacts on hydro-meteorology Remote sensing integration Flood-agriculture interdependencies Global health implications Scientific Awards: Dean's Postdoc Fellow, Stanford Doerr School of Sustainability (2023) Hoving Fellowship, University of Oklahoma (2019) Li’s recent publications emphasize improved precipitation estimation (IMERG V07), Brown Ocean Effect studies, and Fourier neural operators for rapid flood forecasting. His collaborative work with NOAA and NASA focuses on comparing ground-based and spaceborne radar systems for extreme event analysis.

• 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.

• Environmental Engineering
• Soil Science
• Climate Change Impact
• +3 more

Jorge Alberto Guzman Jaimes is a Research Assistant Professor at the University of Illinois, affiliated with the Department of Agricultural and Biological Engineering and the Lemann Center for Brazilian Studies. His work focuses on environmental and agricultural engineering, with a strong emphasis on hydrological modeling, climate change impacts, and sustainable land management. Key research areas include: Climate-driven changes in soil erosion and water resources Evapotranspiration modeling and land cover dynamics Groundwater storage trends and headwater basin analysis Nitrogen transport in grassed watersheds under grazing and climate pressures Land use strategies to mitigate hydrological droughts in tropical regions Recent contributions include the DyLEMa evapotranspiration model and studies on the Washita River Experimental Watersheds. His interdisciplinary work bridges environmental science, computational methods, and agricultural practices, addressing pressing global challenges in sustainability and resource management. Publications span over 59 peer-reviewed articles, with recent highlights focusing on Brazil’s Minas Gerais groundwater trends and climate adaptation strategies in South America. He collaborates internationally on hydrological modeling frameworks and risk assessment for agroecosystems.

Philippe GachonView profile

Professor

• Hydro-climatology
• Climate Risk Assessment
• Extreme Weather Events
• +4 more

Philippe Gachon is a Professor in the Department of Geography at the University of Quebec at Montreal (UQAM), Director of the ESCER Research Centre, and leader of the Quebec InterSectoral Flooding Network (RIISQ). He specializes in hydro-climatology and climate risk assessment, with extensive experience at Environment Canada and as a Strategic Research Chair holder on Hydrometeorological Risks Related to Climate Change. His research examines climate change impacts on extreme weather events including floods, droughts, and heat waves. Recent work focuses on improving risk identification and adaptation strategies through intersectoral approaches. Key research themes include: Regional climate modeling and validation Hydro-meteorological hazard intensification Systemic risk assessment Community-scale resilience building Climate services development His recent publications demonstrate advanced statistical approaches for modeling non-stationary flood regimes, evaluating wildfire risks under climate change, and quantifying vector-borne disease transmission. Collaborative projects with 16 universities address physical climate risks and socioeconomic vulnerabilities across Quebec.

• Early warning of rock slope failures
• Real-time monitoring of unstable rock slopes
• Climate-induced alpine hazards
• +3 more

Dr Johannes Leinauer is a post-doctoral researcher and lecturer at the Chair of Landslide Research (Chair of Slope Movements), Technical University of Munich (TUM) . Since completing his PhD in 2024 he has continued at TUM as postdoc (from 2025) and serves as project manager, lecturer and supervisor within the Landslide Research Group. Education & Career 2024 – present: Postdoctoral researcher, Landslide Research Group, TUM 2018 – 2024: PhD candidate, Landslide Research Group, TUM Thesis: Early warning of rock slope failures – real-time monitoring, process analysis and failure time forecasting 2015 – 2017: M.Sc. Engineering Geology & Hydrogeology, TUM 2011 – 2015: B.Sc. Geosciences (Geology focus), TUM & Ludwig-Maximilians-Universität München 2013 – 2014: ERASMUS+ exchange, University of Bergen, Norway Research Interests Dr Leinauer’s work centres on early-warning systems for rock-slope failures , integrating real-time monitoring , process-analysis and failure-time forecasting . He focuses on climate-induced alpine hazards , permafrost-related rock instabilities , and cascading sediment transport . Multi-method monitoring—including seismic, thermal, geodetic and geophysical techniques—underpins his investigations into the preparatory phase of large rock-slope collapses. Teaching & Supervision He contributes to a broad portfolio of taught courses: GIS for Geologists, Slope-movement mapping, Alpine Hazards, Engineering Geomorphology, Earth-system science, field classes . He supervises numerous bachelor and master theses on rainfall-triggered fracture dynamics, acceleration models, early-warning reliability and cascading-risk scenarios. Publications & Impact His recent articles demonstrate a strong trajectory in process-oriented geomorphology , permafrost engineering and hazard forecasting , with field campaigns at iconic sites such as the Hochvogel (DE/AT) and the Matterhorn (CH). Collaborative outputs integrate field observations, laboratory experiments and mechanical modelling to advance predictive capabilities.

• Environmental Engineering
• Water Resources Management
• Climate Change Adaptation
• +7 more

Dr. Aavudai Anandhi is an Associate Professor of Biological Systems Engineering at Florida A&M University. Her research focuses on computational intelligence for modeling ecosystem processes at the food-energy-water (FEW) nexus, addressing environmental changes through systems engineering approaches. Key areas include artificial intelligence applications, spatial statistics, and machine learning for sustainable resource management. Education: Ph.D. in Water Resources and Environmental Engineering, Civil Engineering, Indian Institute of Science (2008) M.Sc. in Irrigation and Water Management, Indian Institute of Science (1995) B.Sc. in Agriculture, Anna University (1992) Research interests emphasize interdisciplinary sustainability solutions, climate change adaptation, and nexus frameworks for resilient ecosystems. Recent work explores land degradation, water footprint assessments, and habitat suitability modeling. Awards and recognitions include the 2018 Teacher of the Year (ASABE), 2017 Florida A&M Emerging Researcher Award, and multiple fellowships for educational innovation and research excellence. Her work bridges climate science with practical decision-making tools for agriculture and water resources. Key contributions include the Ogallala Aquifer Project (USDA Honor Award, 2013) and development of the DIEM framework for habitat threat analysis. She actively engages in educational outreach, creating tools like the 'Leaf Model for Watershed Teaching.'