جست‌وجوی استاد و پژوهشگر

Olatunji Johnsonمشاهده پروفایل

مدرس

• Spatial Statistics
• Epidemiology
• Public Health
• +۵ مورد دیگر

Dr Olatunji Johnson is a Lecturer in Statistics at The University of Manchester's Department of Mathematics. His research focuses on spatial and spatio-temporal statistics applied to global public health challenges, including tropical diseases like malaria and neglected tropical diseases (NTDs). He holds a PhD in Statistics and Epidemiology and has developed influential geostatistical methods and R packages (SDALGCP and MBGapp) for disease mapping and surveillance. Education: PhD in Statistics and Epidemiology (supervised by Prof. Peter Diggle). Research interests include model-based geostatistics, real-time health surveillance, and hybrid machine learning approaches for spatial data analysis. He is actively seeking PhD students interested in spatial statistics applications. Key Collaborations: Worked on projects in Kenya, Cameroon, Uganda, and Ethiopia, focusing on helminth control, air pollution impacts, and disease burden analyses. Part of the Statistical Advisory Unit and contributes to the UN Sustainable Development Goals through his work on health equity and disease elimination. Notable Projects: Developed methodologies for efficient survey design in NTD programs, air quality studies in African cities, and spatiotemporal modelling of pandemic risks. His work bridges statistical innovation with actionable public health policy.

Chaopeng Shenمشاهده پروفایل

استاد

• Hydrology
• Deep Learning
• Physics-Informed Machine Learning
• +۹ مورد دیگر

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.

Jo Smithمشاهده پروفایل

استاد

• Systems Modelling
• Soil Organic Matter Dynamics
• Nutrient Management
• +۷ مورد دیگر

Professor Jo Smith is a Personal Chair at the University of Aberdeen ’s School of Biological Sciences , specializing in systems modelling, soil organic matter dynamics, and nutrient management. With over two decades at Aberdeen and prior roles at Rothamsted Research and British Petroleum, Smith focuses on carbon sequestration, greenhouse gas emissions, and agricultural sustainability. Research interests include: Soil organic matter and nutrient dynamics in tropical, temperate, and nutrient-depleted soils Climate-smart agriculture across global regions Decision support systems for nitrogen fertilizer optimization Impact of organic resource use on poverty alleviation in Sub-Saharan Africa Machine learning applications in predicting soil nutrient losses Recent publications highlight trends in: Stable isotope analysis for agricultural water management Modelling carbon-nitrogen interactions in data-limited agroforestry systems Policy frameworks for regenerative agriculture and net-zero transitions Tropical peatland emissions and exclosure-based soil restoration High-lignin biofuel byproduct utilization for soil sustainability Collaborations span institutions including: Centre for Ecology and Hydrology (nitrogen cycles, GHG measurements) Nanjing Agricultural University (biochar applications in China) Addis Ababa University (nutrient recycling in Ethiopia) Scottish Government (wind farm carbon calculator development) Makerere University (biogas impact studies in Uganda) Teaching responsibilities include coordinating the Honours Essay course (BI4017/BI4517) and contributing to modules in ecology, environmental science, and risk assessment.

Soroosh Sorooshianمشاهده پروفایل

استاد

• Hydrometeorology
• Water Resources Systems
• Climate Studies
• +۳ مورد دیگر

Soroosh Sorooshian is a Professor at the Samueli School of Engineering , University of California, Irvine, with joint appointments in Civil and Environmental Engineering and Earth System Science . He serves as Founding Director of the Center for Hydrometeorology and Remote Sensing (CHRS) and holds the Samueli Endowed Chair in Engineering . His expertise spans hydrometeorology, climate-water interactions, remote sensing applications, and water resource management in arid regions. Education : Ph.D. in Engineering (1978), Engineer Degree in Systems Engineering (1977), M.S. in Operations Research (1973), B.S. in Mechanical Engineering (1971). Leadership & Affiliations : Member of US National Academy of Engineering , International Academy of Astronautics , and multiple scientific bodies (AAAS, AGU, AMS, IWRA). Former advisor to NASA, NOAA, and UNESCO initiatives. Recent research focuses on machine learning integration for hydrological modeling , satellite precipitation product development , and climate change impact assessments . Key trends include deep learning for bias correction , multi-sensor precipitation fusion , and atmospheric river hydrology in California. Awards include the AGU Horton Medal , NASA Distinguished Public Service Medal , and Prince Sultan Bin Abdulaziz International Water Prize . He consults on urban flooding and surface hydrology challenges. Scientific Honors : Chinese Academy of Sciences Einstein Professorship (2014) UNESCO Great Man-Made River Water Prize (2007) AMS Walter Orr Roberts Lecturer (2009) Multiple Distinguished Educator Awards Advisory Roles : Served on committees for NASA, DOE, and World Climate Research Programme's Hydrology Commission.

Deg-Hyo Baeمشاهده پروفایل

استاد

• Atmosphere and Surface Runoff Interaction
• Climate Change and Variability
• Real-Time Flood and Flash Flood Forecasting
• +۳ مورد دیگر

Deg-Hyo Bae is a Professor in the Department of Civil and Environmental Engineering at Sejong University, serving since 2001, and concurrently holds the position of University President since 2018. His academic career spans leadership roles including Assistant/Associate Professor at Changwon National University (1996-2001), Senior Researcher at Yonsei University (1994-1996), and Researcher at the US Department of Agriculture-ARS (1992-1994). His research focuses on critical water security challenges through advanced hydrological modeling and climate impact assessment. His academic credentials include a Ph.D. (1992) and M.S. (1989) from the University of Iowa, and a B.S. from Yonsei University (1983). These qualifications form the foundation for his interdisciplinary expertise bridging civil engineering, atmospheric science, and environmental informatics. Professor Bae's research program centers on atmosphere-surface interactions, climate-driven hydrological extremes, and real-time prediction systems. His work integrates radar meteorology, GIS analytics, and climate modeling to develop operational tools for flood forecasting, drought monitoring, and transboundary water management. Major achievements include the Global Water Bank system and coupled atmosphere-urban flood models, directly supporting UN Sustainable Development Goals for clean water and climate action. Recent publications (2024-2025) reveal a strategic shift toward AI-enhanced hydrology, combining Bayesian uncertainty quantification with deep learning for streamflow prediction. His work increasingly addresses climate change impacts on extreme events in vulnerable regions like Burundi while exploring teleconnection mechanisms such as ENSO-ozone interactions through CMIP6 frameworks. Professional activities include media coverage of Sejong University's research impact (2021-2022) and international collaborations with Slovak presidential advisors. While specific grant details and student advising records aren't documented in the source material, his 111 publications and h-index of 25 demonstrate significant scholarly influence in water resources engineering.

Ousmane Seidouمشاهده پروفایل

استاد

• Hydrological Modeling
• Climate Change Impacts
• Water Resources Management
• +۴ مورد دیگر

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.

• Water Quality Modelling
• Coastal Reservoirs
• Sustainable Water Treatment
• +۴ مورد دیگر

Professor Muttucumaru Sivakumar is a faculty member at the University of Wollongong (UOW), holding the rank of Professor and serving as Academic Program Director for Environmental Engineering (ENVE) within the School of Civil, Mining, Environmental and Architectural Engineering. He has been with UOW since 1984, progressing through roles such as Lecturer, Senior Lecturer, and Associate Professor before becoming a full Professor in 2025. His academic career includes visiting positions at institutions worldwide, including the University of Minnesota, University of Heidelberg, and Indian Institutes of Technology. Education: He earned a BSc Eng from the University of Peradeniya (Sri Lanka, 1970–1974), an MEng from the Asian Institute of Technology (Thailand, 1976), and a PhD from the University of Newcastle (Australia, 1977–1981). Research Interests: His work focuses on water quality modeling of coastal reservoirs, sediment transport, membrane distillation for wastewater treatment, and environmental hydraulics. Current projects include coastal reservoir development for Jakarta, solar-powered desalination, and wastewater-based epidemiology for pathogen monitoring. Grants: Key funding includes the KONEKSI grant for Jakarta’s coastal reservoir development (2023–2024) and internal grants for geopolymer research and anaerobic co-digestion. He also secured equipment grants for nanopore sequencing platforms and low-vacuum electron microscopy. Advising & Students: He has supervised over 15 HDR completions since 1990, including notable PhD graduates such as San Rathviboon (2011) and Debashis Raha (2006). Current students focus on topics like methane control in wastewater systems and coastal reservoir sediment transport. Labs & Teams: His research groups collaborate on interdisciplinary projects involving water resource management, environmental engineering, and sustainable infrastructure development. He leads initiatives in the International Association for Coastal Reservoir Research (IACRR).

• Hydrology
• Hydrogeology
• Soil Physics
• +۵ مورد دیگر

Christine Stumpp is a Professor at the Institute of Soil Physics and Rural Water Management , affiliated with the University of Natural Resources and Life Sciences Vienna (BOKU) . Her work integrates hydrology , soil physics , and stable isotope analysis to address critical issues in groundwater recharge , climate change impacts on water systems , and microplastic transport in soils .

• Environmental Engineering
• Water Resources Management
• Soil and Water Conservation
• +۷ مورد دیگر

Bernard A. Engel serves as the Glenn W. Sample Dean of Purdue University's College of Agriculture and holds the rank of Professor in the Department of Agricultural & Biological Engineering. He earned his B.S. and M.S. from the University of Illinois and his Ph.D. from Purdue. His research focuses on soil and water engineering, hydrologic modeling, environmental decision support systems, and the integration of GIS and artificial intelligence. He leads initiatives in sustainable watershed management, precision agriculture, and digital tools for environmental stewardship. Dr. Engel's academic contributions include advancing the USDA Water Erosion Prediction Project (WEPP) model and developing web-based tools like GeoAPEX-P for nonpoint source pollution assessment. He is a Fellow of the American Society of Agricultural and Biological Engineers (ASABE) and recipient of the Gilley Academic Leadership Award. His research spans climate change impacts on water resources, flood risk prediction, and invasive species management in China's coastal wetlands. As Dean of the College of Agriculture, he oversees strategic initiatives in food systems, agricultural technology, and interdisciplinary research. His work bridges engineering and agriculture to address global challenges in sustainability, water quality, and environmental resilience. Key collaborations include modeling urban stormwater control, optimizing nutrient management practices, and advancing the water-energy-food nexus framework.

Li Liمشاهده پروفایل

استاد

• Environmental Engineering
• Water Quality
• Climate Change
• +۵ مورد دیگر

Li Li is a Professor in the Department of Civil and Environmental Engineering at Pennsylvania State University. She leads the Li Reactive Water research group, focusing on the Critical Zone and its response to climate change and human activities. Her work examines interactions between water, soils, rocks, roots, and microbes, with implications for water quality and sustainability. Research interests include reactive transport modeling, stream chemistry dynamics, and the impacts of climate extremes on hydrological systems. She has contributed to high-profile studies such as the discovery of ancient carbon release via rivers and the effects of extreme rainfall on nutrient loss in American soils. Recent recognitions include dual awards from the Earth and Space Association (2024) and being named an Institute of Energy and the Environment Fellow. Her lab actively collaborates on projects like the BioRT-HBV model and applications of deep learning in hydrological data analysis. Key projects: Facilitating environmental investigations with single-column models, maximizing CO₂ trapping in geological formations Leadership roles: IEE Fellow, Principal Investigator of NSF-funded research

Frances O'Donnellمشاهده پروفایل

دانشیار

• Ecohydrology
• Water Resources
• Stormwater Management
• +۴ مورد دیگر

Frances O'Donnell is an Associate Professor in the Department of Civil and Environmental Engineering at Auburn University, where she leads the Auburn Ecohydrology Lab. Her research focuses on ecohydrology, emphasizing vegetation-water cycle interactions, stormwater management, and ecosystem restoration with applications in geographically isolated wetlands and transportation infrastructure resilience. Education: Ph.D. in Civil and Environmental Engineering, Princeton University B.A. in Organismic and Evolutionary Biology, Harvard University Research Interests: Dr. O'Donnell investigates soil moisture dynamics and evapotranspiration processes to develop green infrastructure solutions for stormwater management. Her work integrates field measurements, hydrological modeling, and remote sensing to quantify ecosystem services of wetlands and improve climate resilience in water systems. Key projects examine forest restoration impacts on groundwater and sustainable practices for agricultural pollution mitigation. Publication Trends: Recent publications (2023-2025) reveal three dominant themes: landslide prediction along Alabama highways using soil moisture thresholds, sediment/nutrient dynamics in agricultural wetlands under climate change, and cost-optimization tools for green infrastructure. International collaborations in Haiti address drinking water accessibility, while Arizona watershed studies analyze forest management effects on water balance. Scientific Awards and Grants: NASA Research Grant for Geographically Isolated Wetlands USDA-NIFA Foundational and Applied Science Program Grant ($500,000) Advising and Collaborations: Dr. O'Donnell mentors graduate students through thesis research with real-world applications, including permeable pavement design tools and UAV-based water quality monitoring. She collaborates with NASA, USDA, and NOAA on federal projects, and her students publish in journals like Water Environment Research while securing positions at Virginia Tech and Geosyntec Consultants. Laboratory: The Auburn Ecohydrology Lab conducts field experiments in Alabama watersheds and Haiti, utilizing sensor networks, hydrological models, and drone technology to advance understanding of water-ecosystem interactions for sustainable infrastructure planning.

Sahani Pathirajaمشاهده پروفایل

مدرس

• Data Science
• Bayesian Inference
• Stochastic Analysis
• +۷ مورد دیگر

Dr. Sahani Pathiraja is a Lecturer (tenure track assistant professor) at UNSW Sydney , specializing in Data Science . Her research bridges mathematical and statistical foundations with practical applications in environmental and biomedical sciences. Research Focus : Sequential Bayesian inference, Monte Carlo methods, stochastic analysis of non-linear filtering, uncertainty quantification, and real-time parameter estimation. Current Projects : Co-investigator in the ARC Industrial Transformation Training Centre: Data Analytics for Resources and Environment (DARE) and the Next Generation Graduate Program (NGGP) in Sports Data Science and AI . Research Supervision : Dr. Pathiraja supervises PhD students in areas including: Bayesian inference Stochastic differential equations Data assimilation Non-linear filtering Scientific Collaborations : Her work intersects with environmental science, biomedical applications, and machine learning. Projects include stochastic hydrology, SDEs, and operator learning for environmental systems. Contact Information : Email: s.pathiraja@unsw.edu.au Phone: +61 2 8065 0836 Office: Room 2070, Level 2, The Red Centre, UNSW Sydney

Ross A Woodsمشاهده پروفایل

استاد

• Hydrology
• Water Resources
• Hydroclimatology
• +۵ مورد دیگر

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.

Sangmin Shinمشاهده پروفایل

استادیار

• Water Resources Engineering
• Integrated Water Resources Management
• Critical Infrastructure Modeling
• +۶ مورد دیگر

Sangmin Shin is an Assistant Professor in the Department of Civil Engineering at the Southern Illinois University College of Engineering. His research focuses on integrated water resources management, critical interdependent infrastructure modeling, water cyber-physical-social systems, artificial intelligence applications, urban water sustainability and resilience, socio-environmental hydrology, multi-objective optimization, and systems analysis. PhD: Civil and Environmental Engineering, University of Utah (2016-2020) MS: Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology (KAIST) (2008) BS: Civil Engineering, Pusan National University (2006) Shin leads the SciWater Lab, which investigates smart and connected infrastructure for water systems under uncertainty. Key strategies include: increasing infrastructure variety, building cyber-physical-social networks, and integrating feedback interactions between critical systems. The lab aims to transform water infrastructure through interdisciplinary approaches involving communities, engineers, and policymakers. His research portfolio demonstrates trends in: climate change adaptation (14% of publications), infrastructure resilience (22%), AI applications (18%), socio-hydrology (12%), and systems thinking (16%). Notable methodologies include system dynamics modeling, modern portfolio theory, and cyber-physical attack simulations. Postdoc Travel Assistance Award (University of Utah, 2019) Best Paper Presentation Award (Korean Society of Disaster & Security, 2015) Contact: Engineering B, Room 34, 1230 Lincoln Drive, Carbondale, IL 62918, USA | Phone: 618-453-3325 | Email: sangmin.shin@siu.edu

Jonathan Frameمشاهده پروفایل

استادیار

• Hydrology
• Machine Learning for Earth Systems Modeling
• Geospatial Modeling and Prediction
• +۴ مورد دیگر

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.