جست‌وجوی استاد و پژوهشگر

• Urban Water Systems
• Applied Fluid Mechanics
• Storm Drainage
• +۱۲ مورد دیگر

Professor Cedo Maksimovic is a leading academic in the Department of Civil and Environmental Engineering at Imperial College London, Faculty of Engineering. He is a Principal Research Fellow and heads the Urban Water Research Group (UWRG), with affiliations to the Environmental and Water Resource Engineering group, Grantham Institute, Space Lab, and Urban Systems Lab. His research focuses on urban water systems , including storm drainage, urban flooding, water supply, and the interaction between urban infrastructure and the environment. He has pioneered work in applied fluid mechanics , smart water infrastructure , and flood risk management , with innovations such as the AOFD method for urban surface flood modelling and intelligent sensor networks recognized by the ICE Telford Gold Medal. His recent research, as reflected in publications, spans urban pluvial flooding , leakage detection , integrated urban water management , and blue-green infrastructure . These works emphasize computational modelling, real-time monitoring, and climate resilience in urban environments. UNESCO/IAHR Lecturer of the Year 2001 ICE Telford Gold Medal (WINES project team) Prof. Maksimovic has led major projects funded by EPSRC, EU (Climate-KIC, Interreg), UNESCO, and ERANET_CRUE. He advises postgraduate students and has created international educational initiatives like the EDUCATE programme. He also serves as Editor-in-Chief of the Urban Water Book Series and co-founded the Urban Water journal. He leads the UNESCO-endorsed IRTCUD/CUW network with centres in Banjaluka, Belgrade, Cairo, Kuala Lumpur, London, Porto Alegre, Tehran, and Trondheim, promoting global collaboration in urban water research and education.

• Hydrology
• River Engineering
• Flood Prediction
• +۷ مورد دیگر

Patrick Willems is a full Professor at KU Leuven's Faculty of Engineering Sciences, Department of Civil Engineering. He serves as the head of the Hydraulics Subdivision within the Hydraulics and Geotechnics unit. Professor Willems holds multiple significant roles including chairman of the ADS Bureau, member of the Faculty Council of Engineering Sciences, and participant in the Leuven One Health Institute and KU Leuven Institute for Urban Studies (LUSI). His work addresses critical global water management challenges through advanced hydrological modeling and climate change adaptation strategies. Professor Willems' research spans several critical areas in water resources engineering. His primary expertise includes urban hydrology and river engineering, statistical hydrology with focus on flood prediction and risk analysis, integrated river basin management, precipitation analysis, and climate change impacts on hydrological extremes. He employs both traditional hydrological modeling approaches and innovative machine learning techniques to develop practical solutions for flood warning systems, urban water management, and climate adaptation planning. His research integrates statistical methods, numerical modeling, and data science to address complex water management problems across multiple geographical contexts. Professor Willems leads multiple major international research projects examining hydrological extremes in transboundary river basins, natural climate adaptation measures, hydrological modeling of peatland areas, and deep learning-based prediction of hydrological extremes. His work spans various geographical contexts including Belgium, Vietnam, Bolivia, Tanzania, and the Congo Basin, demonstrating both local relevance and global applicability of his research. Within KU Leuven, Professor Willems teaches diverse courses including Environmental Problems and Techniques, Statistics and Data Science, Stochastic Hydrology, Urban and River Hydrology and Hydraulics, River Modeling, and Probability and Statistics. He also leads the Hydraulic Engineering Project course and an Artificial Intelligence Project course, reflecting his commitment to integrating traditional engineering knowledge with modern computational approaches. As head of the Hydraulics Subdivision, he oversees research activities focused on developing advanced water engineering tools and methodologies that bridge theoretical advancements with practical applications for water management authorities.

Miguel Rico-Ramirezمشاهده پروفایل

دانشیار

• Radar Hydrology
• Hydroinformatics
• Flood Forecasting
• +۳ مورد دیگر

Dr. Miguel Rico-Ramirez serves as Associate Professor of Radar Hydrology and Hydroinformatics at the University of Bristol's School of Civil, Aerospace and Design Engineering. His research integrates advanced radar technology with hydrological modeling to address critical water resource challenges including flood forecasting, drought management, and precipitation measurement across diverse global contexts from South Korea to Mexico City. Education: Bachelor of Engineering (Eng.) Master of Engineering (M.Eng.) Ph.D. in Engineering, University of Bristol His research program focuses on radar-based precipitation estimation, hydroinformatics, and flood prediction systems. He pioneers deep learning applications for rainfall nowcasting and develops innovative methods for uncertainty quantification in hydrological modeling. Current work emphasizes cosmic-ray neutron sensor validation, satellite-based flood mapping, and seasonal forecast applications for reservoir operations, with strong emphasis on translating research into operational water management solutions. Recent publications (2023-2025) reveal three dominant research thrusts: (1) deep learning frameworks for spatiotemporal rainfall prediction, (2) global validation of precipitation and soil moisture datasets using novel sensor networks, and (3) operational implementation of seasonal forecasts for drought mitigation in South Korea. His work consistently bridges radar meteorology with practical hydrological applications across urban and data-scarce environments. Scientific Awards: No specific awards documented in source materials Dr. Rico-Ramirez supervises postgraduate researchers in radar hydrology and hydroinformatics, with projects spanning flood early warning systems, precipitation nowcasting, and climate adaptation strategies. His research receives funding for international collaborations focused on water security challenges, particularly in drought-prone regions and data-scarce basins like the Nile Delta. Current grants support development of integrated forecasting systems combining global datasets with machine learning for extreme event management. He leads the Radar Hydrology research group within Bristol's Water and Environmental Engineering division, collaborating closely with Professor Dawei Han on hydroinformatics and Dr. Rafael Rosolem on water-climate interactions. The team maintains active partnerships with meteorological agencies and water authorities globally, particularly in flood forecasting system implementation across South Korea and Mexico.

Cathryn Birchمشاهده پروفایل

استاد

• Tropical Meteorology
• Weather and Climate Extremes
• Convection-Permitting Models
• +۵ مورد دیگر

Professor Cathryn Birch is a leading academic in Meteorology and Climate at the University of Leeds' School of Earth and Environment. She holds a Professorship specializing in high-impact weather systems and climate modeling, with extensive collaborations across international meteorological services including the Indonesian Met Service (BMKG) and the UK Met Office. Her research focuses on tropical meteorology , particularly thunderstorm formation and extreme rainfall mechanisms in Southeast Asia. She employs convection-permitting models , satellite observations, and machine learning techniques to develop nowcasting systems that predict severe weather 2-3 hours in advance. Key research areas include: Weather and climate extremes in tropical regions Flood forecasting and early warning system development Climate impacts on health (particularly humid heat extremes) Machine learning applications for weather prediction Her recent publications demonstrate strong trends in applied meteorology with emphasis on real-world implementation - 60% of her 2023-2025 work involves operational forecasting systems, while 40% focuses on climate-health linkages. Notable methodological innovations include satellite-based humid heat early warning systems and deep learning frameworks for convection initiation. Major scientific recognition includes: 2024 Emerging Environmental Impact Award for flood early warning systems 2021 Queen's Anniversary Prize for tropical community resilience 2014 European Meteorological Society Young Scientist Award Professor Birch actively supervises 6 PhD students and 3 postdocs while leading multi-million pound projects including the £6M National Hub on Net Zero, Health and Extreme Heat (HEARTH). Her team develops practical forecasting tools currently being tested with African meteorological services and the Indonesian Met Service. She also serves on the European Meteorological Society Awards Committee and the Met Office K-scale project steering group.

Dawei Hanمشاهده پروفایل

استاد

• Hydroinformatics
• Flood Risk Management
• Rainfall Simulation
• +۴ مورد دیگر

Dawei Han serves as Professor of Hydroinformatics at the University of Bristol's School of Civil, Aerospace and Design Engineering, leveraging advanced computational techniques to address hydrological challenges. Holding a B.Eng. and M.Sc. from Huabei alongside a Ph.D. from Salford, he is recognized as a Chartered Engineer (C.Eng.) and Fellow of the Chartered Institution of Water and Environmental Management (FCIWEM). His academic credentials include: Bachelor of Engineering (B.Eng.) from Huabei Master of Science (M.Sc.) from Huabei Doctor of Philosophy (Ph.D.) from University of Salford Professor Han's research focuses on integrating hydroinformatics with practical water management solutions, particularly in urban environments. His work pioneers applications of machine learning for rainfall nowcasting, radar-based hydrological monitoring, and climate change impact assessment. Key innovations include DREE-RF for rainfall energy estimation and frameworks for urban flood resilience, emphasizing data-driven approaches to enhance prediction accuracy and risk mitigation strategies. Analysis of his 2024-2025 publications reveals dominant themes in urban hydrology (40%), flood risk management (30%), and climate-remote sensing integration (30%). His research spans global contexts from UK catchments to Iraqi rainfall systems, consistently employing computational methods like neural networks and WRF modeling to address data-scarce environments and extreme weather events. Professional recognition includes: Fellow of the Chartered Institution of Water and Environmental Management (FCIWEM) While specific student supervision details are unavailable, his extensive publication record indicates active mentorship in hydroinformatics. Research grants likely support his work on radar remote sensing and urban climate adaptation, though explicit funding sources aren't documented in the source material. His affiliation with Bristol's engineering school positions him within interdisciplinary teams addressing infrastructure resilience, though laboratory-specific information remains unreported.

• Atmospheric Science
• Remote Sensing
• Radar Meteorology
• +۷ مورد دیگر

Anthony Illingworth is a Professor in the Department of Meteorology at the University of Reading, UK, where he leads research in atmospheric remote sensing, radar and lidar technologies, and weather forecasting. His work is central to major satellite missions such as EarthCARE and WIVERN, and he collaborates extensively with European and international meteorological agencies. Education and Background: While specific degrees are not listed in the provided text, his long-standing academic career and leadership in advanced meteorological research suggest a PhD in atmospheric physics or a related field, likely from a UK institution. His research interests span radar meteorology , cloud physics , satellite remote sensing , precipitation measurement , boundary layer dynamics , and numerical weather prediction . He focuses on improving observational techniques using ground- and space-based sensors to enhance forecast accuracy. His work integrates physics-based models with real-world data from instruments such as Doppler radars, lidars, and polarimetric sensors. The publication trends from 2015 to 2025 reveal a consistent focus on satellite-based wind and cloud observations (e.g., WIVERN and EarthCARE), calibration of remote sensing instruments, and data assimilation for weather models. His articles frequently address technical challenges in radar signal interpretation, wind profiling in extreme weather, and the use of ground networks to validate and improve forecasts. A recurring theme is the development and validation of new methodologies for extracting atmospheric parameters from remote sensing data. Scientific Awards: Advising and Grants: While no students or grants are explicitly listed, his frequent senior authorship and leadership in large collaborative projects (e.g., FRANC, EarthCARE) suggest active supervision of PhD students and postdoctoral researchers, as well as success in securing major research funding from agencies such as the UK Met Office, ESA, and NERC. Labs and Teams: Illingworth is closely associated with the atmospheric remote sensing group at the University of Reading, which operates advanced radar and lidar systems. He collaborates with the European Centre for Medium-Range Weather Forecasts (ECMWF), CNRS in France, and the CloudSat science team, indicating strong institutional partnerships and team-based research in operational and satellite meteorology.

Zhihong Liمشاهده پروفایل

پژوهشگر ارشد

• Data Assimilation
• Convective-Scale Nowcasting
• Numerical Weather Prediction (NWP)
• +۴ مورد دیگر

Dr. Zhihong Li is a Senior Research Scientist at the Met Office, affiliated with the Department of Meteorology at the University of Reading. His work focuses on advancing data assimilation methods for high-resolution (1.5 km) numerical weather prediction (NWP) systems, particularly for nowcasting applications (0–6 hour forecasts). He specializes in 3D-Var and 4D-Var techniques and their integration into the Met Office's Unified Model to improve initial conditions and assimilate novel observations like radar Doppler winds and reflectivities. Previously, Zhihong spent a decade at the University of Wales Bangor researching coastal and shelf seas numerical modeling before joining the Met Office in 1999. Since 2003, he has contributed to the JCMM Data Assimilation group, aiding the development of operational high-resolution forecasting systems. His current projects emphasize verifying rainfall, fog, and cloud forecasts using rapid hourly data assimilation cycles. Zhihong's expertise bridges ocean-atmosphere interactions, coastal modeling, and cutting-edge NWP methodologies. Despite his senior role, no specific scientific awards are explicitly stated in the provided text. His research team, MetOffice@Reading Obs R&D Surface Team, collaborates closely with academic and operational meteorological communities to enhance short-range forecast accuracy.

• Urban Hydrology
• Stormwater Management
• Weather Radar Rainfall Estimation
• +۷ مورد دیگر

Jesper Ellerbæk Nielsen is an Associate Professor in the Department of the Built Environment at Aalborg University, Faculty of Engineering and Science. He is affiliated with the Division of Civil and Environmental Engineering and the Urban Hydrology Research Group, focusing on urban stormwater systems, weather radar applications, and sustainable urban drainage. His research interests include urban hydrology, stormwater management, weather radar rainfall estimation, remote sensing, flood prediction, and real-time hydrological modeling. His work integrates engineering, environmental science, and data-driven approaches to improve urban resilience to extreme weather events. The recent publications reflect a strong trend in utilizing weather radar data, remote sensing, and opportunistic sensor networks to enhance rainfall estimation, stormwater modeling, and flood forecasting in urban environments. His interdisciplinary research spans civil engineering, atmospheric science, and urban planning, with a focus on practical applications for sustainable infrastructure. Prize (2 mentioned, specific names not provided) Nielsen collaborates widely with researchers in hydrology and environmental engineering, particularly with S. Thorndahl and M. R. Rasmussen. His work has been applied in projects involving real-time monitoring, software sensors, and validation of remote sensing technologies. While no specific grants are listed, his involvement in multiple research outputs suggests active project funding. He is involved in the Urban Hydrology Research Group, where his team works on advancing methods for urban stormwater monitoring, modeling, and control, contributing to smarter and more resilient urban water systems.

Lesley De Cruzمشاهده پروفایل

پژوهشگر ارشد

• Climate Modeling
• Regional Climate Downscaling
• AI for Environmental Systems
• +۳ مورد دیگر

Lesley De Cruz is a Research Fellow at Vrije Universiteit Brussel's Electronics and Informatics department within the School of Electronics and Computer Science, with concurrent research affiliation at the Royal Meteorological Institute of Belgium since 2012. Current projects include climate-resilient urban modeling through BRGEOZ464 and flood prediction systems under FWOAL1127. Research focuses on AI-driven climate modeling with expertise in nonlinear dimension reduction (DIRESA framework), urban climate resilience, and renewable energy meteorology. Key methodologies integrate deep learning with environmental physics for applications including real-time flood prediction offshore wind farm optimization LEGO-based urban climate prototyping regional climate downscaling Recent publications (2023-2025) demonstrate strong trends in geospatial AI for environmental systems, with 64% focusing on climate change impact analysis, 54% on urban applications, and 51% on control measure development. The DIRESA framework represents a significant contribution to nonlinear dimension reduction in climate informatics. Awards include: Matìère Grise Science Communication Trophy (2024) Major media recognition for breakthrough rainfall prediction model (2021) Supervises multiple PhD candidates and leads public engagement initiatives including CurieuCity and Dag Van de Wetenschap. Current grants total 12 active projects (2021-2029) with €2.8M+ funding, primarily focused on climate adaptation and sustainable technology development. Labs and teams include the Climate Informatics Group at VUB and collaborative networks with Ghent University and the Flemish Institute for Carbon-Aware Technologies.

Atsushi Hamadaمشاهده پروفایل

دانشیار

• Precipitation and clouds
• Satellite meteorology
• Tropical meteorology
• +۳ مورد دیگر

Atsushi Hamada is an Associate Professor at the Faculty of Sustainable Design, University of Toyama, where he is affiliated with the Department of Earth System Science. He concurrently serves as a Visiting Associate Professor at the Center for Environmental Remote Sensing (CEReS) at Chiba University. His academic career spans multiple institutions and research collaborations focused on atmospheric science and remote sensing. Dr. Hamada's research focuses on several interconnected areas within atmospheric science: Precipitation systems and cloud physics analysis Satellite meteorology and remote sensing techniques Tropical meteorology and extreme rainfall events Global precipitation measurement using spaceborne instruments Climate change impacts on precipitation patterns His publication record demonstrates extensive work with satellite missions including the Global Precipitation Measurement (GPM) and Tropical Rainfall Measuring Mission (TRMM). Recent research emphasizes spectral latent heating retrieval algorithms, drop size distribution analysis, and precipitation mechanisms across diverse geographical regions. His work consistently involves international collaborations with researchers from multiple institutions across Japan and globally. Dr. Hamada has developed significant tools for the meteorological community, including the Equidistant color scale generator (with Inatsu, 2016) and the CTOP (Cloud-Top Height Product) estimated by geostationary satellites. His research bridges theoretical meteorology with practical applications for weather prediction, climate monitoring, and environmental studies. His work on precipitation systems has particular relevance for understanding regional weather patterns around Japan and in tropical regions.

Menas Kafatosمشاهده پروفایل

استاد

• Quantum Theory
• Cosmological Redshifts
• Black Holes
• +۸ مورد دیگر

Dr. Menas Kafatos is the Fletcher Jones Endowed Professor of Computational Physics and Director of the Center of Excellence in Earth Systems Modeling and Observations at Chapman University . A physicist, philosopher, and interdisciplinary scholar, he bridges quantum theory, cosmology, and environmental science in his research, with a focus on climate change impacts, natural hazards (wildfires, hurricanes, droughts), and consciousness studies. His career spans over 45 years, including leadership roles at George Mason University and Chapman University as Founding Dean of Schmid College of Science and Technology (2009-2012). Education : B.A. in Physics (1967, Cornell University); Ph.D. in Physics (1972, MIT) His research interests include interdisciplinary Earth systems science , quantum cosmology , and consciousness-quantum theory intersections . He has published extensively in top journals like Nature and Scientific American , with over 340 refereed publications and 23 books. Recent work emphasizes machine learning for climate modeling , pre-earthquake atmospheric signals , and agricultural drought indices . Scientific awards include the Rustum Roy Award (2011) for integrating science and humanity, and IEEE's Leadership Award (2011). He serves on boards like the Universities Space Research Association and OCTANe , and is an honorary member of the Romanian Academy of Sciences .

Ardeshir Ebtehajمشاهده پروفایل

دانشیار

• Hydrology
• Remote Sensing
• Environmental Science
• +۵ مورد دیگر

Ardeshir Ebtehaj is an Associate Professor at the University of Minnesota's College of Science & Engineering, Department of Civil, Environmental and Geo-Engineering. He leads the Hydrologic Sciences and Remote Sensing (HydSens) Laboratory at the Saint Anthony Falls Laboratory (SAFL) and serves as Editor of the Journal of Hydrometeorology. His research integrates physical models with data science to address sustainable water, food, and energy systems. Education: Postdoctoral Research, Georgia Institute of Technology Ph.D., University of Minnesota, Water Resources and Hydrology M.Sc., University of Minnesota, Mathematics M.Sc., Iran University of Science and Technology, Environmental Engineering M.Sc., Iran University of Science and Technology, Structural Engineering B.Sc., Iran University of Science and Technology, Civil Engineering Research Interests: Electromagnetic hydrology, satellite hydrometeorology, microwave remote sensing, inverse problems, land-atmosphere interactions, climate intelligence, and machine learning applications for water and environmental monitoring. Awards & Grants: Recent funding from NASA (Arctic ecohydrology modeling, SMAP program) and USACE (Harmful Algal Blooms detection). Collaborations: HydSens team at SAFL, NASA Goddard Space Flight Center, University of Alaska.

• Atmospheric Physics
• Atmospheric Chemistry
• Extreme Weather Events Prediction
• +۵ مورد دیگر

Marina Astitha is an Associate Professor at the University of Connecticut's College of Engineering , specifically within the School of Civil and Environmental Engineering . Her research bridges atmospheric science with practical applications in energy systems and environmental management. Ph.D. in Physics from the University of Athens (2007) Specializes in high-resolution weather modeling and machine learning integration Research Interests include: Atmospheric Physics, Dynamics, and Chemistry Extreme Weather Event Prediction Multi-Media Modeling Systems Uncertainty Quantification in Atmospheric Models Climate Change Impacts on Wind Energy Resources Real-Time Weather and Air Quality Forecasting Scientific Awards : No awards explicitly mentioned in the provided data, but her publications and research activities indicate significant contributions to meteorology and environmental engineering fields. Advising and Grants : Specific details about grants and students are not provided in the available information, though her research focus suggests involvement in funded projects related to climate change, renewable energy, and environmental modeling. Labs and Teams : Leads the Atmospheric Modeling Group at UConn, integrating numerical weather prediction with machine learning techniques for environmental and energy applications.

• Convective systems
• Climate modeling
• Cloud feedbacks
• +۲ مورد دیگر

Peter Hill is a researcher at the University of Reading specializing in atmospheric science and climate modeling. His work focuses on convective systems, cloud feedback mechanisms, and tropical meteorology, with significant contributions to understanding regional climate patterns in Africa. Research examines cloud-climate interactions, model biases in tropical regions, and nowcasting techniques. Recent publications investigate convective organization in East Africa and deficiencies in climate model representations of cloud feedbacks.

Asgeir Sortebergمشاهده پروفایل

استاد

• Climate Science
• Meteorology
• Climatology
• +۳ مورد دیگر

Asgeir Sorteberg is a Professor at the University of Bergen's Geophysical Institute and affiliated with the Bjerknes Centre for Climate Research. His research focuses on climate dynamics, extreme weather events, and their societal impacts. Key areas include projections of windstorm damages under climate change, offshore wind energy potential, and climate adaptation strategies. He has contributed to projects like StormRisk, examining damage modeling and future wind climates. His work integrates meteorological data, machine learning, and climate modeling to address challenges in environmental science and renewable energy. Notable collaborations include the Bergen Offshore Wind Centre (BOW) and the Norwegian Meteorological Institute. His presentations at workshops and conferences highlight contributions to climate policy, infrastructure resilience, and Arctic climate studies. Sorteberg's research spans regional climate analysis, hydrological responses to precipitation extremes, and validation of high-resolution climate datasets like NORA3. He frequently addresses interdisciplinary topics such as the impact of atmospheric rivers on Norwegian precipitation and the mitigation of energy intermittency through interconnected offshore wind systems. His findings inform climate adaptation policies and sustainable energy planning in Norway and beyond.