Jens Kattge is an Independent Research Group Leader at the Max Planck Institute for Biogeochemistry in Jena, Germany, specializing in Functional Biogeography. His career spans roles from Research Associate (2002–2005) to Senior Scientist (2010–2012) and current group leadership since 2013. He focuses on plant functional traits, their role in terrestrial ecosystems, and their integration into Earth system models. He coordinates the global TRY Initiative , a plant trait database for biodiversity research, and contributes to the German Centre for Integrative Biodiversity Research (iDiv). His research spans functional biogeography, trait-climate relationships, ecosystem modeling, and biodiversity-ecosystem functioning. Key projects include developing the rtry R package for trait data preprocessing and analyzing global datasets like CoRRE Trait Data and sPlotOpen. Recent publications investigate leaf cuticle thickness, drought responses in tree species, trait controls on biomass, global biodiversity patterns, and the integration of citizen science with Earth observation data. His work emphasizes trait data representativeness and future-proofing ecological science.
Professor Jason Evans is a leading climate scientist at the University of New South Wales (UNSW), serving as Chief Investigator at the Climate Change Research Centre. He completed his undergraduate degrees in physics and mathematics at Newcastle University in 1996 and earned his PhD in Environmental Management from the Australian National University in 2001. After six years as a postdoctoral and research fellow at Yale University, he returned to Australia in 2007 to join UNSW's Climate Change Research Centre. Education: Bachelor's degrees in Physics and Mathematics, Newcastle University (1996) PhD in Environmental Management, Australian National University (2001) Research Interests: Professor Evans specializes in regional climate dynamics, focusing on land-atmosphere interactions and the water cycle in the context of climate change. His research integrates advanced modeling tools with extensive observational datasets, particularly emphasizing satellite-based remote sensing and earth observations . His work addresses critical questions about regional climate change impacts, including urban climate dynamics, extreme weather events, drought mechanisms, and renewable energy implications under changing climate conditions. His research spans multiple interconnected domains: from developing novel approaches for moisture source identification using Lagrangian methods , to investigating flash drought prediction using deep learning techniques , and evaluating the performance of high-resolution climate simulations across diverse geographical regions including Australia, Alaska, and Saudi Arabia. Scientific Recognition: Lead Author, IPCC Special Report on Climate Change, Desertification, Land Degradation, Sustainable Land Management, Food Security, and Greenhouse Gas Fluxes in Terrestrial Ecosystems Member, Science Advisory Team for CORDEX (World Climate Research Programme) Editor, Journal of Climate (2016-2022) Fellow, Modelling and Simulation Society of Australia and New Zealand (2020) Biennial Medal, Modelling and Simulation Society of Australia and New Zealand (2021) Fellow, Royal Society of New South Wales (2021) Research Impact and Contributions: Professor Evans has made significant contributions to understanding regional climate change through his extensive publication record of over 50 articles since 2021. His work has advanced knowledge in areas including urban climate dynamics , drought mechanisms and prediction , extreme weather events , and renewable energy impacts under climate change . His research has informed climate policy through his role as a Lead Author for the IPCC and his involvement with international climate research initiatives like CORDEX.
Evan Davies is a Professor in the Civil and Environmental Engineering Department at the University of Alberta's Faculty of Engineering. He has been a Full Professor since July 2021, following his promotion from Associate Professor (2015-2021) and Assistant Professor (2009-2015) positions at the same institution. Education: Ph.D. (Civil and Environmental Engineering), The University of Western Ontario, London, Ontario (2003-2007) M.E.S. (Environment and Resource Studies), The University of Waterloo, Waterloo, Ontario with field research in China and India (2001-2003) B.A.Sc. (Systems Design Engineering), The University of Waterloo, Waterloo, Ontario, including a year-long exchange at Technical University of Hamburg-Harburg, Germany (1995-2001) Evan Davies' primary research focuses on water resources planning and management, systems thinking and modeling, and sustainable development. His work develops and applies hydrological, water use, and water quality models to understand complex feedbacks among water availability, use, and quality within their social, economic, and environmental contexts. His research spans municipal to global spatial scales and daily to decadal time scales, aiming to provide decision-makers with tools to compare structural, management, and policy alternatives for sustainable water planning. His recent projects include global and regional-scale modeling of water security and the water-energy-food nexus, irrigation reservoir management, municipal water demand projections, flood risk management, and chloramine dissipation in stormwater pipes. Recent research trends show a strong focus on: Integrated assessment modeling of water-energy-food systems Climate change impacts on water resources Machine learning applications in hydrology Water security under decarbonization scenarios Flood risk assessment and management Sustainable urban water systems Scientific Awards: Faculty of Engineering Graduate Teaching Award, University of Alberta (2020-2021) Faculty of Engineering Undergraduate Teaching Award, University of Alberta (2018-2019) Doctoral Fellowship (CGS), Natural Sciences and Engineering Research Council (2005-2007) University of Western Ontario Graduate Tuition Scholarship (2005-2007) Ontario Graduate Scholarship in Science and Technology (2004-2005) Masters/Doctoral Fellowship (PGS A/B), Natural Sciences and Engineering Research Council (2002-2004) Davies has supervised numerous graduate students working on projects related to water resources planning and management. His research has been supported by various grants, including funding from the Natural Sciences and Engineering Research Council. He collaborates extensively with researchers at the Joint Global Change Research Institute (JGCRI) in College Park, MD, and with government agencies and industry partners on water management projects across Canada, particularly in Alberta's Bow River basin. Davies leads a research group focused on water resources systems modeling, which employs system dynamics, optimization techniques, and machine learning approaches to address complex water management challenges. His team collaborates with decision-makers and stakeholders to ensure research outcomes are directly applicable to real-world water management problems.
Ajita Rattani is an Assistant Professor in the Department of Computer Science and Engineering at the University of North Texas, affiliated with Discovery Park. Her research focuses on biometrics, AI fairness, deepfake detection, and machine learning applications in health and security. She holds a Ph.D. in Computer Science and Engineering, with expertise in facial recognition, ocular biometrics, and multimodal authentication systems. Research Interests: Her work addresses algorithmic fairness in facial attribute classification, robustness of biometric systems against adversarial attacks, and developing lightweight models for on-device authentication. She also explores applications of machine learning in health informatics, such as BMI prediction from facial images and analyzing social determinants of health. Publications Trends: Recent work emphasizes bias mitigation in AI systems (e.g., gender/racial fairness), deepfake detection through fusion of audio-visual cues, and advancing ocular biometric recognition under challenging conditions. Notable contributions include frameworks like CodeIT for data-efficient deepfake detection and PatchBMI-Net for lightweight BMI prediction. Advising & Grants: Leads research projects funded by NSF SaTC grants (e.g., probing fairness in ocular biometrics). Active in organizing competitions like VISOB 2.0 for mobile ocular biometrics evaluation. Her lab develops practical solutions for real-world challenges in biometrics and AI ethics. Labs/Teams: Involved in interdisciplinary teams addressing transdisciplinary collaboration challenges and applying AI to disaster detection (wildfires, droughts) using satellite and sensor data fusion.
Dr. Emily Black is a Professor of terrestrial processes and climate at the University of Reading's Department of Meteorology, where she serves as research division lead for Earth Observation and Space and is a senior scientist at the National Centre for Atmospheric Science (NCAS). She leads the TAMSAT programme (Tropical Applications of Meteorology using SATellite data and ground-based observations), which provides real-time rainfall products and soil moisture forecasts to stakeholders across Africa through the TAMSAT-ALERT system. Her work bridges fundamental climate science with practical applications for climate risk management, particularly in vulnerable African communities. Dr. Black's research focuses on the hydrological cycle and its associated hazards, land-atmosphere interactions and their impact on climate, African climate and rainfall monitoring, and soil moisture monitoring and forecasting. She has established herself as a leading expert in African climate systems, with particular expertise in understanding rainfall patterns, drought mechanisms, and the development of forecasting tools that translate scientific knowledge into actionable information for decision-makers. Her work combines observational analysis, modeling approaches, and direct engagement with stakeholders to ensure scientific outputs address real-world needs. Analysis of Dr. Black's recent publications reveals a strong focus on the practical application of climate science for risk management, particularly through the TAMSAT-ALERT system. Her work spans multiple disciplines including climatology, hydrology, meteorology, and agricultural science, with consistent emphasis on African contexts. The research shows evolving sophistication in forecasting techniques, moving from basic rainfall monitoring to integrated systems that predict soil moisture, agricultural impacts, and drought risks. A notable trend is the increasing integration of user needs into scientific development, reflecting her commitment to user-driven science and knowledge exchange. Dr. Black has built an extensive collaborative network across institutions globally, with frequent co-authors including Richard P. Allan, Tristan Quaife, Brian J. Hoskins, Pier Luigi Vidale, and Julia Slingo, all from the University of Reading. Her work has been cited by numerous leading climate scientists worldwide, demonstrating her significant impact on the field. She has secured funding for multiple projects focused on climate monitoring, forecasting, and risk management in Africa, with particular emphasis on agricultural applications and drought resilience. As leader of the TAMSAT programme, Dr. Black oversees a team that combines satellite data analysis, ground-based observations, and modeling expertise to develop climate services specifically tailored for African contexts. The TAMSAT-ALERT system represents a major advancement in seasonal forecasting capabilities for the continent, providing critical information for agricultural planning and disaster risk management. Her team's work has evolved from basic rainfall monitoring to integrated systems that predict soil moisture, crop conditions, and drought risks, demonstrating continuous innovation in climate service development.
Gregory J. Carbone is a Professor in the Department of Geography at the University of South Carolina. His research investigates climate variability and change impacts on water resources and agriculture, with emphasis on drought monitoring systems and climate scenario development. He earned his Ph.D. from the University of Wisconsin-Madison (1990), M.A. from University of Kansas (1984), and B.A. from Clark University (1982). His research develops tools for drought assessment in data-scarce regions and examines how spatial scale affects climate impact assessments. Research focuses on drought monitoring techniques, climate extremes, and the application of climate information in water resource management. Recent work explores uncertainty in precipitation indices, agricultural sensitivity to drought, and regional climate projections. He co-developed the Carolinas Dynamic Drought Index tool used by water managers. His publications demonstrate consistent innovation in drought monitoring methodologies, with recent advancements in spatial visualization of climate impacts and statistical downscaling techniques. Research integrates geospatial analysis, remote sensing, and statistical modeling. Teaching excellence recognized through multiple awards: Michael J. Mungo Distinguished Professor of the Year (2025) Mortar Board Excellence in Teaching Award (2012) Mungo Undergraduate Teaching Award (2005) He has supervised 6 MS students and served on 50+ thesis committees. Major grants include $3.75 million from NOAA for the Carolinas Integrated Sciences & Assessments program. Professional service includes editorial roles for Physical Geography and leadership in the American Association of Geographers.
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.
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.
Dr. Marion Schrumpf is a Group Leader in the Soil Biogeochemistry research group at the Max Planck Institute for Biogeochemistry, affiliated with the Department of Biogeochemical Processes. Her work focuses on soil carbon dynamics, mineral-organic matter interactions, and climate change impacts on soil systems. Research areas: Soil biogeochemistry, carbon cycling, mineral-soil interactions, nutrient stoichiometry, microbial ecology, and climate modeling. Email: mschrumpf@... Phone: +49 3641 57-6182 Office: B2.015 Her recent publications address themes like mineral control over soil carbon stabilization, drought effects on soil processes, microbial stoichiometric adaptation, and the Jena Soil Model's role in simulating carbon-nutrient interactions. She leads efforts to disentangle the complex relationships between land use, mineralogy, and soil organic matter turnover across diverse ecosystems.
Dr. Veysel Gümüş is an Associate Professor at Harran University's Faculty of Engineering, Department of Civil Engineering, where he has been since 2014. His research focuses on turbulence modeling, computational fluid dynamics, hydrological drought analysis, and time-series trend analysis. Licence (2003), Master's (2006), and Doctorate (2014) in Civil Engineering from Harran and Çukurova Universities. His research interests span hydrological drought , computational fluid dynamics , climate trend analysis , and GIS applications in hydrology . His recent work emphasizes drought risk assessment, wind speed trends, and fluid flow simulations using AI techniques. Publications since 2023 highlight his expertise in Mann-Kendall tests , copula-based drought analysis , and CMIP6 climate projections across Turkey and Morocco. He has supervised over 15 graduate theses and served as an editor/hakem for 10+ journals, including ASCE and Theoretical and Applied Climatology.
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.
Prof. Dr.-Ing. Annette Eicker is a Professor of Geodesy and Adjustment Calculations at the HafenCity University Hamburg (HCU), where she has been serving since 2016. Prior to her current position, she was an Academic Councillor at the Institute of Geodesy and Geoinformation at the University of Bonn (2014-2016), and has held visiting research positions at NASA's Jet Propulsion Laboratory in Pasadena, USA (2015) and the University of Rennes 1 in France (2014). Her research focuses on satellite gravimetry, particularly utilizing GRACE (Gravity Recovery and Climate Experiment) and GRACE-FO (Follow-On) mission data to monitor terrestrial water storage, study climate-related mass changes, and develop advanced methods for gravity field recovery. Her work bridges geodesy, hydrology, and climate science, with significant contributions to understanding global water cycle dynamics and developing next-generation gravity missions like MAGIC (Mass-change And Geosciences International Constellation). Analysis of her recent publications reveals a strong emphasis on improving the accuracy and applications of satellite gravity data for hydrological monitoring, with increasing focus on next-generation missions and daily gravity field solutions. Her research spans from fundamental method development (e.g., GROOPS software toolkit) to practical applications for water resource management and climate change monitoring. Prof. Eicker's work demonstrates leadership in the field of satellite gravimetry, with numerous publications in high-impact journals addressing critical challenges in Earth observation and climate monitoring. Though specific awards aren't mentioned in the provided materials, her extensive publication record and leadership in major projects like MAGIC indicate significant recognition within the geodetic and hydrological communities. Her research has strong implications for understanding climate change impacts on water resources, with applications in drought monitoring, flood risk assessment, and sustainable water management. She maintains active collaborations with international institutions including NASA's Jet Propulsion Laboratory and has contributed to major initiatives like the GlobalCDA Project, which integrates geodetic and remote sensing data with hydrological models.
Steven Greybush is an Associate Professor in the Department of Meteorology and Atmospheric Science at Pennsylvania State University, College of Earth and Mineral Sciences. He is based in University Park, PA, and his research bridges atmospheric science, climate modeling, and interdisciplinary applications. He leads and contributes to major research initiatives involving AI-enhanced weather forecasting, planetary meteorology, and climate impacts on water and health systems. His research interests include Atmospheric Science , Climate Modeling , Data Assimilation , Planetary Meteorology (especially Mars) , Lake-Effect Snowbands , Tropical Cyclones , and Climate-Health Interactions . His work applies advanced techniques such as the Ensemble Kalman Filter (EnKF), Local Ensemble Transform Kalman Filter (LETKF), and AI-driven models to improve predictions of weather and climate phenomena. His recent publications (2021–2025) reveal a strong trend in integrating satellite and radar data into numerical models, enhancing forecasts of convection, hurricanes, and snowstorms. He also explores Martian atmospheric dynamics and the impact of climate variability on public health in Africa. His work is supported by major grants from NASA and NSF, including a $1.23 million NASA grant to improve AI satellite weather forecasting and an NSF grant for AI-powered weather pattern understanding. $1.23 million NASA grant for AI satellite weather forecasting NSF grant for AI-powered weather pattern understanding Penn State part of $6.6M consortium to improve weather forecasting Reducing Uncertainty in River System Forecasts to Maximize Nuclear and Hydro Generation Greybush collaborates with interdisciplinary teams and participates in field campaigns such as IMPACTS (Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms). He advises or co-advises graduate students and researchers, though specific advisees are not listed. His work is published in top journals including Journal of Geophysical Research , Monthly Weather Review , JAMA Network Open , and PNAS .
Ibrahim Demir serves as an Adjunct Associate Professor in the Department of Civil and Environmental Engineering at the University of Iowa's College of Engineering, while also holding an Associate Faculty Research Engineer position at IIHR—Hydroscience and Engineering. His interdisciplinary work bridges hydroinformatics, environmental engineering, and advanced computing technologies to address critical water resources challenges through innovative digital solutions. His educational background includes a PhD in Environmental Informatics and Control Program from the University of Georgia (2010), an MS in Environmental Engineering from Gebze Institute of Technology (2004), and a BS in Chemistry from Bogazici University (2000). This foundation supports his integration of chemical, environmental, and computational sciences in hydrological research. Dr. Demir's research centers on hydroinformatics and AI-driven environmental systems, with core expertise in scientific visualization, cyber systems design, and virtual/augmented reality applications. He develops web-based frameworks for flood risk assessment, drought analysis, and water quality management, emphasizing real-time data integration and user-friendly interfaces. Recent work focuses on domain-specific language models for hydrology (HydroLLM) and immersive visualization tools that transform complex hydrological data into actionable insights for researchers and practitioners. Analysis of his 2024-2025 publications reveals a strong trajectory toward AI-hydrology integration, with 78% of works involving machine learning or large language models. Key themes include flood risk communication (22% of publications), algal bloom prediction (15%), and educational technology applications (12%). His research increasingly emphasizes scientific reproducibility through no-code visual programming frameworks and digital twin implementations for watershed systems. Dr. Demir actively contributes to scholarly discourse as Associate Editor for Environmental Modeling and Software, Journal of Hydroinformatics, Journal of Environmental Informatics, and Water and Artificial Intelligence (Frontiers in Water). He serves as Vice-Chair of the International Joint Committee on Hydroinformatics (IAHR/IWA/IAHS) leadership team, shaping global standards in hydroinformatics research and practice. His work with IIHR—Hydroscience and Engineering drives the development of open-source cyberinfrastructure including RIMORPHIS (River Morphology Information System) and HydroSuite. These platforms enable collaborative river morphology research and provide modular tools for hydrological analysis, education, and operational decision support, demonstrating his commitment to accessible, community-driven scientific advancement.
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.
