جست‌وجوی استاد و پژوهشگر

• Climate Change
• Urban Heat Island Effect
• Climate Modeling
• +۳ مورد دیگر

Yurdanur Unal is a Professor at the Department of Meteorological Engineering, Istanbul Technical University. Her research focuses on climate modeling, urban climate dynamics, and the impacts of climate change on extreme weather events. She leads multiple projects funded by TUBITAK and EU institutions, investigating topics such as urban heat island mitigation, precipitation patterns in Northwestern Türkiye, and future climate hazards under different emission scenarios. Professor Unal has authored over 23 peer-reviewed publications and serves as Principal Investigator (PI) on active grants addressing food security, forest species adaptation, and severe weather event analysis in the Marmara region. Her work integrates high-resolution regional climate models like COSMO-CLM and WRF to simulate climate extremes and urban meteorological phenomena. Projects: Climate Change-Related Hazards in Western Türkiye (TUBITAK, 2024–2026) Climate Change Impacts on Food Safety (EU, 2023–2025) Forest Species Distribution Projections (EU, 2023–2025) Key Research Themes: Urbanization effects on heat islands and rainfall Regional climate modeling and model sensitivity Humid heat extremes and population exposure Her studies combine observational data with advanced simulations to address pressing environmental challenges, including sustainable urban development and adaptation strategies for climate-sensitive sectors.

Jayasankar C Bمشاهده پروفایل

پژوهشگر ارشد

• Regional Climate Modeling
• Global Climate Modeling
• Climate Change Projections
• +۵ مورد دیگر

Jayasankar C B is a Research Fellow at the Center for Ocean-Atmospheric Prediction Studies (COAPS), Florida State University, specializing in regional climate modeling and monsoon dynamics. His research focuses on high-resolution climate projections, extreme weather events, and dynamical downscaling techniques to assess climate change impacts. Education: Ph.D. in Atmospheric Sciences (Regional Climate Modeling & Climate Change Projections), AcSIR/CSIR-4PI, Bangalore, India (2013–2019) M.Sc. in Meteorology, Cochin University of Science and Technology (2010–2012) B.Sc. in Physics, University of Calicut (2007–2010) Research Focus: Jayasankar investigates climate variability, monsoon systems, and extreme events using advanced regional coupled models (e.g., WRF-ARW, RSM-ROMS). His work emphasizes improving seasonal forecasts and climate projections for regions like India, Florida, and Central America, with applications in agriculture, hydrology, and disaster preparedness. Awards & Honors: Postdoc Five Minute Research Finalist, FSU (2022) INSPIRE Fellowship, DST India (2013) University First Rank in M.Sc. Meteorology, CUSAT (2012) International Travel Support, SERB India (2019)

Yangxing Zhengمشاهده پروفایل

پژوهشگر

• Climate Science
• Ocean-Atmosphere Interactions
• Monsoon Systems
• +۳ مورد دیگر

Yangxing Zheng serves as an Associate Research Scientist (Courtesy) at the Center for Ocean-Atmospheric Prediction Studies (COAPS) within Florida State University. His research mission centers on unraveling physical climate system dynamics through observational data analysis and modeling, with specialized focus on oceanic influences in atmospheric phenomena and climate variability. Research Focus: Dr. Zheng investigates ocean-atmosphere-land surface interactions across multiple scales. His current work prioritizes Asian monsoon mechanisms and impacts, building on foundational research in Pacific climate variability and Indian Ocean dynamics. Recent expansion into environmental applications includes oil spill transport modeling and Gulf of Mexico ecosystem studies. Publication Trends: Analysis of his 2018-2023 output reveals dual concentration: monsoon-climate relationships (60% of work) and oil spill/ocean surface processes (40%). This evolution demonstrates adaptive scholarship bridging fundamental climate science with urgent environmental response needs, particularly relevant to coastal and monsoon-affected regions. Collaborative Framework: Working within COAPS' interdisciplinary environment, Dr. Zheng maintains a productive partnership with Dr. Mark Bourassa and contributes to Florida State University's leadership in climate prediction research through integrated modeling approaches.

Owen Jonesمشاهده پروفایل

استاد

• Operational Research
• Stochastic Modeling
• Environmental Science
• +۷ مورد دیگر

Professor Owen Jones is a Chair in Operational Research at the School of Mathematics, Cardiff University. His work focuses on applying mathematical modeling and optimization techniques to address challenges in environment, energy, and sustainability, including renewable energy systems, water management, and disaster risk quantification. Operational Research Stochastic Modeling Environmental Data Analysis Renewable Energy Optimization His research spans environmental science, hydrology, and computational methods, with recent work leveraging approximate Bayesian computation (ABC) and generative adversarial networks (GANs) to model climate impacts, water systems, and biological dynamics. Articles highlight innovations in wastewater surveillance, bat roost detection, and tidal energy optimization. Professor Jones supervises advanced students in areas like spatio-temporal modeling, emergency response simulation, and multifractal processes. He has secured grants for interdisciplinary projects, including UKRO-funded freshwater solutions, GCRF wastewater monitoring, and EU Horizon2020 climate adaptation initiatives. He is part of the Operational Research group at Cardiff University and has collaborated with institutions such as the Australian Department of Agriculture, Fisheries and Forestry, and the EU Horizon2020 program.

Anna Krauseمشاهده پروفایل

پژوهشگر

• Machine Learning
• Deep Learning
• Time Series Analysis
• +۷ مورد دیگر

Dr.-Ing. Anna Krause is a researcher at the Chair of Data Science (Informatik X) within the Faculty of Mathematics and Computer Science at the University of Würzburg. She leads the Deep Learning for Dynamical Systems Group and has been actively involved in teaching at the university since 2019, including courses on Machine Learning for Time Series Analysis and Data Mining. Doctoral degree in Electrical Engineering (2019), University of Hannover Diploma in Electrical Engineering (2009), Technical University Dresden Her research focuses on Environmental Sensing and Time Series Analysis , particularly on enhancing physics-based models using machine learning techniques for meteorological applications and sparse sensor networks. She has made significant contributions to explainable AI, climate modeling, and fraud detection systems. Anna's recent publications demonstrate expertise in climate modeling (ConvMOS, ICLR 2024-2025), physics-informed neural networks (TaylorPDENet, ECMLPKDD 2023), and fraud detection (MIDAS workshops, ECMLPKDD 2020-2023). She actively contributes to conferences as organizer and PC member, including ECMLPKDD and ICLR workshops. Scientific Awards Best ML Innovation Award (2020) for Deep Learning in Climate Modeling Best Student Paper Award (2020) for Multi-Task Land Use Regression Best Paper Award (2020) for Financial Fraud Detection with INALU The DynaBench dataset introduced in 2023 provides benchmark tools for learning dynamical systems from low-resolution data. Her work combines theoretical advancements with practical implementations, including edge computing applications for beekeeping monitoring systems.

Zoran Kapelanمشاهده پروفایل

استاد

• Urban Water Infrastructure
• Hydroinformatics
• Water Distribution Systems
• +۴ مورد دیگر

Professor Zoran Kapelan serves as Chair of Urban Water Infrastructure within the Department of Water Management at Delft University of Technology's Faculty of Civil Engineering and Geosciences. With over 30 years of experience in water engineering, he joined TU Delft in 2018 after leading the Water and Environment Group at the University of Exeter for 19 years, following a decade in international consultancy. His research spans smart water systems, hydroinformatics, and sustainable urban water infrastructure management. Key focus areas include AI-driven solutions for drinking water distribution (leakage detection, pressure management), sewer systems optimization (blockage prediction, sustainable drainage), asset management, and flood risk assessment. He pioneers methodologies integrating artificial intelligence, real-time control, and decision-making under uncertainty to address climate change adaptation and circular economy principles in water systems. Recent publications (2024-2025) reveal strong trends in deep learning applications for infrastructure monitoring (sewer crack detection, floating litter quantification), resource recovery assessment frameworks, and advanced modeling of non-Newtonian fluid dynamics in wastewater systems. His work increasingly emphasizes circular economy metrics, environmental risk assessment of novel materials, and co-developed sustainable solutions through serious gaming approaches. Editor, Journal of Water Resources Planning and Management (ASCE) Associate Editor, Water Resources Research Member, IWA Digital Water Steering Committee Member, External Scientific Advisory Council of KWR Prof. Kapelan has secured over €10 million in research funding across 50+ EU, RCUK, and industry grants. His supervision portfolio includes 40+ PhD students and 25+ postdocs, with significant industry impact through commercialized technologies like AI-based pipe burst detection systems deployed by United Utilities serving 7 million customers. He coordinates TU Delft's Urban Drainage and Water Management course while contributing to asset management and water transport curricula. The Urban Water Infrastructure group under his leadership maintains strong industry partnerships with water utilities globally, focusing on translating research into operational solutions for real-time monitoring, predictive maintenance, and climate-resilient infrastructure design.

• Time series
• Modeling
• Forecasting
• +۲ مورد دیگر

Dr. Salim Jibrin Danbatta is an Assistant Professor in the Department of Computer Engineering at Uskudar University. Born on May 13, 1987, in Kano State, Nigeria, he has established himself as a researcher specializing in time series analysis, modeling, and forecasting techniques with applications across multiple domains. His educational background includes: BSc in Information Technology from Limkokwing University of Creative Technology, Malaysia (2011) MSc in Information System Engineering from Near East University, Cyprus (2014) Ph.D. in Software Engineering from Firat University, Turkey (2022) Dr. Danbatta's research focuses on time series data, covering modeling, forecasting, analysis, and Monte Carlo simulation schemes. His work spans applications in environmental science, tourism, rainfall prediction, and software engineering. He has published papers in SSCI, SCI/E, ESCI journals and IEEE conference proceedings, with an h-index of 5 and 218 total citations according to Scopus metrics. His recent publications demonstrate a consistent application of hybrid time-series models and Monte Carlo simulation techniques to address practical challenges, particularly in environmental monitoring and prediction in Nigeria. His research shows increasing sophistication in combining multiple modeling approaches to improve forecasting accuracy while addressing uncertainty. Dr. Danbatta serves in several administrative roles including Student Adviser, Member of the Education Commission, and Member of the Erasmus and Foreign Relations Commission at Uskudar University. Prior to his current position, he taught at the Kano State Institute for Information Technology and worked as a computer officer at the Kano State Ministry of Science and Technology for three years.

Quentin Nicolasمشاهده پروفایل

پژوهشگر ارشد

• Climate Dynamics
• Geophysical Fluid Dynamics
• Atmospheric Sciences
• +۲ مورد دیگر

Quentin Nicolas is a Postdoctoral Fellow at the Department of Environmental Systems Sciences, ETH Zürich , working in Heini Wernli's group. He obtained his Ph.D. in Earth and Planetary Science from UC Berkeley and holds a Master's in Applied Mathematics from École Polytechnique, France. Research Focus : Climate dynamics, tropical atmospheric dynamics, geophysical fluid dynamics, and interdisciplinary applications in medical modeling. Key Collaborations : William Boos (UC Berkeley), Bruce Buffett (UC Berkeley), Geoffrey Vallis (WHOI/SOR Bon Ventre), Irene Vignon-Clementel (Inria Paris). His work on tropical orographic precipitation couples moist convection with mountain flow dynamics to explain rainfall distribution. He also studies seasonal precipitation extremes via plume buoyancy frameworks and superrotation physics with Geoffrey Vallis. Earlier work involved medical modeling for liver surgery and transplantation. Scientific Awards : Best Student Paper Award, Geophysical Journal International (2023) Outstanding Student Presentation Award (OSPA), AGU Fall Meeting (2021) His publications span climate dynamics, geophysical fluid dynamics, and clinical biomechanics , with recent studies on wind sensitivity in tropical rainfall and MAC wave excitation in Earth's core. Quentin maintains active code repositories on GitHub for climate modeling and precipitation analysis.

Gregor Leckebuschمشاهده پروفایل

استاد

• Meteorology
• Climatology
• Extreme Weather Events
• +۷ مورد دیگر

Professor Gregor Leckebusch is a leading academic in Meteorology and Climatology at the University of Birmingham. He holds the UK Met Office Joint Chair and serves as Director of the NERC DTP CENTA (2019-2022). His work bridges meteorological research with climate risk assessment, focusing on extreme weather impacts. University of Birmingham (2011-present) Freie University Berlin (Associate Professor, 2004-2010) University of Leipzig (Acting Chair, 2010-2011) His research centers on tropical cyclones, storm surges, and climate change impacts. He has sustained collaborations with reinsurance giants like SwissRe and CoreLogic-EQECAT, leveraging industry funding for projects on hazard connectivity and parametric insurance thresholds. Key projects include NERC Large Grant HURACAN and EPSRC IAA Energy Sector Resilience. Recent publications highlight expertise in CMIP6 model diagnostics, causality-guided decadal predictions, and statistical postprocessing of monsoon rainfall. His work aligns with UN Sustainable Development Goals for climate action and sustainable cities. As a PhD supervisor, he welcomes candidates interested in extreme weather modeling and climate risk. He co-edits the journal Natural Hazards and Earth System Sciences , emphasizing interdisciplinary approaches to weather extremes.

• Climatology
• Meteorology
• Regional Climate Modeling
• +۳ مورد دیگر

Andreina Belušić Vozila is a Senior Lecturer at the Faculty of Physics, University of Rijeka, Croatia. She holds a PhD in Physics (2018) and MSc/BSc in Geophysics from the Faculty of Science, University of Zagreb. Her work bridges atmospheric physics, regional climate modeling, and applied climatology. PhD in Physics (2014–2018), University of Zagreb MSc in Geophysics (2012–2014), University of Zagreb BSc in Geophysics (2009–2012), University of Zagreb Her research focuses on Adriatic climate systems, particularly wind dynamics and extreme weather. She investigates bora wind microscale properties, hail climatology, and thunderstorm intensity metrics using regional climate models. Applications include viticulture adaptation and air quality analysis. Recent publications analyze convection-permitting wind models (2024), Adriatic storm intensity (2021), and climate-agriculture interactions (2020). Collaborations span the SWALDRIC and VITCLIC projects, emphasizing interdisciplinary climate solutions. 2020: Nagrada za mladu meteorologinju, Hrvatsko meteorološko društvo 2019: L’Oreal-UNESCO stipendija za žene u znanosti 2018: Godišnja nagrada Društva sveučilišnih nastavnika, Zagreb 2015: Godišnja nagrada 'Roberto i Daniela Giannini' 2012: Dekanova nagrada za izvrsnost She has served as a meteorological observer at Crocontrol (2018–2021) and as a physics teacher at primary schools (2021). Her work combines theoretical climate research with practical applications in agriculture and extreme weather monitoring.

• Soil Science
• Agricultural Chemistry
• Environmental Toxicology
• +۵ مورد دیگر

Jose Eugenio Lopez Periago is a full-time researcher at the University of Vigo , affiliated with the Faculty of Sciences and the Department of Plant Biology and Soil Sciences . His work focuses on soil chemistry, environmental toxicology, and agroecology, particularly in vineyard soils and pesticide transport. Education: PhD in Environmental Science from the University of Santiago de Compostela (1993), thesis on groundwater contamination by cattle manure in Terra Chá under Dr. Francisco Díaz-Fierros Viqueira. Research Interests: His studies address copper dynamics in agricultural soils, pesticide transport mechanisms, soil structure analysis via computed tomography, and sustainable soil management practices. Key themes include heavy metal pollution, bioremediation, and soil ecosystem services. Article Trends: Recent publications emphasize Tenebrio molitor applications, allelopathic biomass for weed control, 3D-printed soil scaffolds, and soil pore network characterization. His work bridges environmental science , materials engineering , and agricultural sustainability . Labs & Teams: Affiliated with the Institute of Agroecology and Food , focusing on soil health and agrochemical impacts. Collaborates with researchers like P. Pérez-Rodríguez, M. Paradelo, and D. Soto-Gómez on interdisciplinary projects.

• Geomorphology
• Geological Engineering
• Surface Processes
• +۳ مورد دیگر

Scott McCoy is an Associate Professor and holder of the Peter Vardy Endowed Professorship in Engineering Geology at the Mackay School of Earth Sciences and Engineering, University of Nevada, Reno. His research integrates Earth science and engineering to develop predictive models for surface processes like floods, landslides, and debris flows across multiple timescales. Contact: scottmccoy@unr.edu | Office: LME 411 | Mail Stop: 0172 Ph.D., University of Colorado, Boulder (2012) in Geological Sciences B.S. & B.A., University of Washington, Seattle (2005) in Geology & Business Administration McCoy's work addresses fundamental questions about hazardous surface processes: Why do they occur? When? How large? What areas are vulnerable? How do they shape landscapes? How will climate, land use, and tectonic changes affect them? His projects combine: Field mapping and environmental sensor networks Geochemical dating and digital elevation analysis Continuum/fluid/granular mechanics Scientific programming and computational modeling Discrete element simulations and lab experiments Recent publications focus on postfire debris flow prediction, waterfall erosion dynamics, ice-dammed lake outbursts, and steepland morphology. His research bridges immediate hazard mitigation with long-term landscape evolution studies. Peter Vardy Endowed Professorship in Engineering Geology (2017) McCoy's group investigates sediment entrainment mechanics, drainage network evolution, and climate-landform interactions through field measurements, computational models, and controlled experiments. Their work reveals how surface processes transport mass/energy across Earth's surface while addressing practical risks to communities.

MEHMET İSHAK YÜCEمشاهده پروفایل

استاد

• Hydrology
• Fluid Mechanics
• Drought Modeling
• +۴ مورد دیگر

Mehmet İshak Yüce is a Professor in the Department of Hydraulics within the Faculty of Engineering at Gaziantep University. His career spans over 30 years, starting as a Research Assistant in 1993 and achieving professorship in 2021. He holds a PhD in Civil Engineering from the University of Manchester (2005), an MSc in Water Engineering from Istanbul Technical University (1995), and a BSc in Civil Engineering from Middle East Technical University (1992). Research Focus: Dr. Yüce specializes in hydrology, fluid mechanics, and climate impacts on water systems. His work integrates computational modeling, statistical hydrology, and sustainable resource management. Key themes include: Drought prediction using copula models and machine learning Hydrokinetic turbine design for renewable energy Hydraulic transients and pollutant transport Climate-driven hydrological variability in Mediterranean basins Awards & Recognition: Gaziantep University 2015 Second Best Doctoral Thesis Award Academic Leadership: He has supervised 6 doctoral and 32 master's students, focusing on hydrology, energy systems, and hydraulic infrastructure. His grants include projects on hydrokinetic turbines (2012-2022) and drought analysis (2015-2019), funded by national agencies. Administrative Roles: Former Dean of Engineering (2021), Institute Director (2020-2023), and multiple terms as Department Deputy Head.

Luísa Vieira Luccheseمشاهده پروفایل

عضو هیئت علمی

• Machine Learning
• Remote Sensing
• Hydrology
• +۷ مورد دیگر

Luísa Vieira Lucchese is a Research Assistant Professor at the University of Pittsburgh's Department of Geology and Environmental Science since August 2024. Her work focuses on the intersection of Machine Learning , Remote Sensing , and Hydrology , with an emphasis on modeling river geomorphology , freshwater monitoring , and climate change impacts on hydrological systems. PhD and Master's in Water Resources and Environmental Sanitation from Universidade Federal do Rio Grande do Sul (UFRGS), Brazil PhD Sandwich at Friedrich-Schiller-Universität Jena, Germany Research Interests include: Applying Remote Sensing and Machine Learning to study sediment flux , landslide susceptibility , and global freshwater systems Developing open-source models and spatial cross-validation techniques Advocating for open-source GIS software through her RS/GIS Blog , which includes tutorials on QGIS, GDAL, and SAGA GIS. Her scientific awards include: CAPES National Award for PhD Theses (2023) Academic Accolade for PhD Thesis (IPH-UFRGS, 2022) Academic Accolade for Master’s Thesis (IPH-UFRGS, 2018) Young Researcher Award UFRGS (2014) Luísa collaborates with Prof. John Gardner’s lab on NASA-funded projects to estimate global sediment flux using AI. She also presented at major conferences such as EGU General Assembly , WorCAP , and Spatial Lightning Talks UCSB .

• Catchment Modelling
• Urban Hydrology
• Climate Change Impact on Flood Estimation
• +۳ مورد دیگر

James Ball is an Adjunct Professor at the School of Civil and Environmental Engineering , University of Technology Sydney. With a career spanning academia, consulting, and government roles, his expertise focuses on catchment modeling , urban drainage systems , and climate change impacts on hydrology. He has held positions at UNSW Australia and contributed to foundational guidelines like Australian Rainfall and Runoff . Education: Doctor of Philosophy, Master of Engineering, and Bachelor of Civil Engineering from the University of Newcastle, Australia. Research Interests: Development of catchment modeling systems for urban environments, integration of deep learning in land use/land cover classification, hydrological software calibration with genetic algorithms, and stormwater-green infrastructure interactions such as green roofs. Recent Trends: His 2024–2021 publications emphasize agent-based groundwater-society interactions , deep learning for impervious surface estimation , and hybrid machine learning methods for dam reservoir evaporation under climate change scenarios. Articles also address flood modeling accuracy , scour mitigation structures for bridges, and socio-hydrology in resource conflicts. Leadership: Editor-in-Chief of the International Journal of River Basin Management , editorial roles in Urban Water Journal , Hydrology , and Water Science and Technology . Past Vice-President of IAHR and technical editor for Australian Rainfall and Runoff . Supervision: Available for Masters and PhD student supervision . Funded Research: Projects include stormwater modeling , hydrological ensemble prediction , phosphorus release studies , and stochastic rainfall generation for flood estimation.