Xiaowei Jia is an Assistant Professor in the Department of Computer Science at the University of Pittsburgh. He holds a Ph.D. from the University of Minnesota (supervised by Prof. Vipin Kumar) and B.S./M.S. degrees from the University of Science and Technology of China (USTC) and SUNY Buffalo. His research focuses on integrating scientific theory with machine learning to address societal and environmental challenges, such as climate modeling, hydrology, and fairness in AI. Education: Ph.D., University of Minnesota (2020) M.S., State University of New York at Buffalo B.S., University of Science and Technology of China (USTC) Research Interests: Knowledge-Guided Machine Learning Spatiotemporal Data Mining Fairness in AI for Social Good Applications in Environmental Science and Healthcare Publications showcase his work on physics-integrated neural networks, spatiotemporal modeling (e.g., water temperature prediction), and fairness-aware algorithms. His work has been recognized with Best Paper awards at SIAM SDM (2022, 2023). Awards include the Best Applied Data Science Paper Award at SIAM SDM in 2022 and 2023. He teaches advanced machine learning courses, emphasizing theory integration with real-world applications.
Prof. Richard L. Peters is a Professor and Head of the Chair of Tree Growth and Wood Physiology at the Technische Universität München (TUM) since 2024. His research focuses on tree physiology, wood formation, and climate-forest interactions. He holds a doctorate summa cum laude from the University of Basel (2018) and has conducted postdoctoral research at the Swiss Federal Institute for Forest Science (WSL) and Ghent University. His work integrates forest ecology, dendrochronology, and ecophysiology to address climate change impacts on forests. Education: B.Sc./M.Sc. in Biology at Utrecht University, Ph.D. from University of Basel (2018). Key career steps include a Swiss National Science Foundation (SNSF) fellowship at Ghent University and coordination of the Swiss Canopy Crane II project (2021). Research Interests: Tree water-use strategies, drought tolerance mechanisms, carbon allocation dynamics, and the physiological basis of tree growth. He leads interdisciplinary projects to monitor forest responses to environmental stress using tools like the TreeNet network. Awards: Early Postdoc Mobility Fellowship (SNSF, 2019), Doctorate summa cum laude (2018). Contributions: Authored >180 publications, co-developed the datacleanr R package for ecological data processing, and pioneered methods linking tree-ring data with climate models. His work emphasizes the need for better observational data to improve vegetation models.
Prof. Christian Heipke is a distinguished academic serving as Dean of the Faculty of Civil Engineering and Geodetic Science at Leibniz University Hannover, Germany. He also holds the position of Executive Director at the Institute of Photogrammetry and GeoInformation (IPI), one of the leading research institutions in geospatial sciences within the faculty. His leadership extends across multiple committees including the Curriculum and Teaching Committee, Admissions and Examination Boards for Geodetic Science and Geoinformatics, and Navigation and Environmental Robotics. As a Professor at IPI, he maintains active research while overseeing significant academic and administrative responsibilities at the university. Professor Heipke's research spans multiple domains within geospatial sciences, with particular emphasis on: Advanced photogrammetric techniques and algorithms Remote sensing applications for environmental monitoring Computer vision approaches for geospatial data analysis Urban development monitoring using satellite imagery Machine learning applications in geoinformatics Disaster prediction and management systems His recent scholarly output reveals a strong focus on integrating cutting-edge computer vision and deep learning techniques with traditional photogrammetric methods. Analysis of his 15 most recent publications shows a clear trajectory toward more sophisticated AI-driven approaches for processing geospatial data, with particular attention to time-series analysis, uncertainty quantification, and multi-view systems. His work bridges theoretical advancements with practical applications in flood forecasting, deforestation monitoring, urban planning, and construction materials analysis. The geographic scope of his research has expanded significantly, with recent projects focusing on international case studies in the Philippines and tropical regions. Professor Heipke leads the Institute of Photogrammetry and GeoInformation, a major research hub that has celebrated 75 years of contributions to the field. His leadership extends to the Graduiertenkolleg 2159: "Integrity and Collaboration in Dynamic Sensor Networks," where he serves as a professor overseeing doctoral research. The institute maintains state-of-the-art facilities for processing satellite imagery, aerial photography, and developing novel algorithms for geospatial data analysis. Under his direction, the institute has strengthened its international collaborations and interdisciplinary research approaches, particularly in addressing Sustainable Development Goals through geospatial technologies.
Prof. Dr. Patrick Huber is a leading physicist and Institute Director at the Hamburg University of Technology (TUHH) , heading the Institute for Materials and X-Ray Physics (M-2) . He also leads the High-Resolution X-Ray Analytics of Materials group at DESY through a cooperative professorship. His research spans condensed matter physics , nanoporous materials , and X-ray analytics , with significant contributions to molecular water science and soft matter in confinement . Education: PhD in Physics (1999, Saarland University), Diploma in Physics (1995, Saarland University) Professional Career: Full Professor at TUHH (2020-present), Member of CRC 1615 (2023-present), Spokesperson for CMWS (2024-present), Cluster of Excellence BlueMat (2025) Research Interests focus on multi-scale material behavior under extreme confinement, particularly hierarchical porous silicon and silica systems . His work examines adsorption-induced deformation , elastocapillarity , fluid transport in nanopores, and metamaterial design principles using electrolytes , polymers , and liquid crystals . Fundamental studies include fluid interface thermodynamics and microscopic hydrodynamics . Scientific Awards include the Top Reviewer Award (2018) from Applied Physics Letters and the Dr.-Eduard-Martin Award (2000) for his dissertation. He contributes to 130+ publications with an h-index of 36 (2021). Advising and Grants involve supervising 18 doctoral and master's students , including Manuel Brinker , Marc Thelen , and Stella Gries . He participates in Collaborative Research Centre CRC 1615 , Cluster of Excellence EXC 3120 BlueMat , and the United Nations University Hub on Climate Engineering . Laboratory and Teams include the Institute for Materials and X-Ray Physics (M-2) at TUHH, the High-Resolution X-Ray Analytics group at DESY, and contributions to the Centre for Hybrid Nanostructures (CHyN) .
Markus Reichstein is a Professor for Global Geoecology at Friedrich Schiller University (FSU) Jena and Director of the Biogeochemical Integration Department at the Max Planck Institute for Biogeochemistry. His research focuses on ecosystem responses to climate variability, climate extremes, and the application of AI in Earth system science. He holds a PhD in Plant Ecology from the University of Bayreuth and has pioneered interdisciplinary approaches combining machine learning with environmental modeling. Key roles include leadership in the Michael-Stifel-Center Jena for Data-driven and Simulation Science and founding director of the ELLIS Unit Jena. He contributed to the IPCC Special Report on Climate Extremes and has received prestigious awards such as the Leibniz Prize. His work bridges ecology, hydrology, and atmospheric science, addressing critical global challenges like carbon cycle feedbacks and ecosystem resilience. Recent research emphasizes AI-driven early warning systems for climate risks, integrating observational data with mechanistic models. His team explores land-atmosphere interactions, soil-vegetation dynamics, and the impacts of climate extremes on societal systems. Notable projects include GartenDiv, a citizen science initiative for garden biodiversity, and advancements in global water cycle modeling using hybrid AI-physics frameworks. Awards include the Piers J. Sellers Award (2018), ERC Synergy Grant (2019), and Leibniz Prize (2020). He collaborates with international networks like ELLIS and Future Earth, advancing data-driven solutions for sustainability science.
Sarah Kang is the Director of the Department of Climate Dynamics at the Max Planck Institute for Meteorology in Hamburg, Germany, a position she has held since August 2023. She leads the Director's Research Group (CDY) focusing on fundamental climate dynamics. Prior to this, she served as Professor in the Department of Urban and Environmental Engineering at Ulsan National Institute of Science and Technology (UNIST) in South Korea from 2011-2023, progressing through assistant, associate, and full professor ranks. Her research examines complex climate system dynamics, with emphasis on: Large-scale atmosphere and ocean circulation patterns Tropical-extratropical climate interactions Hydrological cycle responses to climate change Mechanisms of polar amplification Teleconnections between ocean basins and climate zones Analysis of her recent publications reveals dominant research themes: Ocean-atmosphere coupling mechanisms Radiative forcing and climate sensitivity Hemispheric climate asymmetries Tropical precipitation dynamics Polar warming impacts on global circulation with consistent methodology employing high-resolution climate modeling and observational verification. Major scientific recognitions include: AGU Atmospheric Sciences Ascent Award (2022) AOGS Kamide Lecture Award (2018) Editor's Citation for Excellence in Refereeing (GRL 2018) UNIST Teaching Excellence Award (2012) NCAR Advanced Studies Fellowship (2009) She maintains extensive professional engagement as: Co-chair of CLIVAR Climate Dynamics Panel Science Steering Committee member for CFMIP Associate Editor for Frontiers in Climate Editor for AGU Advances Board member of Korean Meteorological Society
Dr. Philipp Porada is a Junior Professor of Ecological Modeling at the University of Hamburg, affiliated with the Department of Biology within the Faculty of Mathematics, Computer Science and Natural Sciences. He works at the Institute of Plant Sciences and Microbiology, specifically in the Applied Plant Ecology group, based at the Otto Warburg House. His research integrates process-based modeling with ecological field studies to investigate non-vascular vegetation, biogeochemical cycles, and climate-vegetation interactions across multiple temporal and spatial scales. Porada's research focuses primarily on non-vascular vegetation (bryophytes, lichens, and biocrusts), examining their role in global biogeochemical cycles, biodiversity-ecosystem functioning relationships, and paleoclimate dynamics. His work spans from contemporary ecosystem processes to geological time scales, with particular emphasis on the impacts of climate change on non-vascular communities. He has developed several process-based models including LiBry for lichen and bryophyte communities, LiDELS for soil-vegetation interactions, and LYCOm for early vascular plants. His research demonstrates how non-vascular vegetation influences carbon sequestration, water cycling, and soil processes across diverse ecosystems from urban forests to polar regions. Analysis of Porada's publication record reveals a strong interdisciplinary approach combining ecological theory, biogeochemistry, and computational modeling. His work spans multiple ecosystems including peatlands, drylands, urban forests, and coastal blue carbon systems. A consistent theme across his research is understanding how non-vascular vegetation mediates the relationship between environmental conditions and ecosystem functions. His most recent work increasingly focuses on climate change impacts and potential mitigation strategies through vegetation management. Porada leads two major research projects funded by the German Research Foundation (DFG): 'Effects of nutrient limitation on non-vascular vegetation under climate change' and 'The role of early plants for palaeoclimate dynamics'. These projects reflect his dual interest in contemporary environmental challenges and deep-time ecological processes. His collaborative work, evident in his extensive publication record with international researchers, demonstrates strong interdisciplinary connections across ecology, biogeochemistry, and climate science. Dr. Porada maintains an active research laboratory focused on ecological modeling, with particular expertise in non-vascular vegetation dynamics. His team develops and applies process-based models to address questions ranging from micro-scale lichen water relations to global biogeochemical cycles. The research group collaborates extensively with field ecologists, climate scientists, and biogeochemists to ground-truth model predictions and explore new ecological phenomena.
Professor Dörthe Tetzlaff is a leading figure in ecohydrology, serving as Head of Department (A1) Ecohydrology at the Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB) and as Full Professor of Ecohydrology at Humboldt-Universität zu Berlin, Faculty of Mathematics and Natural Sciences, Geography Department. She also holds an Honorary Professorship at the University of Aberdeen, Scotland. Her work bridges theoretical hydrology with practical applications for water security and environmental management. Professor Tetzlaff's research focuses on ecohydrological processes, particularly using stable water isotopes to understand water cycling, catchment functioning, and landscape connectivity. Her work spans from pristine natural systems to complex urban environments, with particular emphasis on drought resilience, water security, and nature-based solutions. She has pioneered tracer-aided modeling approaches to quantify water storage, fluxes, and ages across the soil-plant-atmosphere continuum. Her publication record shows a clear trend toward increasingly sophisticated integration of multi-tracer approaches with ecohydrological modeling, with recent work focusing on urban systems, drought impacts, and nature-based solutions. The publications demonstrate expertise across hydrology, biogeochemistry, and ecological applications, with strong methodological development in isotope hydrology and modeling techniques. Polubarinova-Kochina Hydrologic Sciences Mid-Career Award of the American Geophysical Union AGU (2024) Water Resource Prize of the Rüdiger Kurt Bode Foundation (2024) Member of the Berlin-Brandenburg Academy of Sciences and Humanities (2023) Fellow of The European Academy of Sciences (2022) Fellow of the Geological Society of America GSA (2020) Professor Tetzlaff actively supervises numerous PhD students and postdoctoral researchers, with her group focusing on cutting-edge ecohydrological research. She leads multiple significant research projects including WETSCAPES2.0, ECCO, ISO-SCALE, and BiNatUr, which address critical questions about water security, climate change impacts, and nature-based solutions in urban environments. Her work is supported by substantial funding from various national and international sources. She leads the Ecohydrology research group at both IGB and Humboldt-Universität zu Berlin, which employs an integrative approach combining field measurements, isotope techniques, and advanced modeling to understand water dynamics across diverse landscapes. The group collaborates extensively with international partners across Europe, North America, and Asia, contributing to global understanding of hydrological processes.
Michael T. Monaghan is a Professor at the Faculty of Biology, Chemistry and Pharmacy, Freie Universität Berlin, and leads the Research Group in Molecular Ecology and Genomics at the Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB). His work bridges evolutionary biology, molecular ecology, and environmental monitoring, focusing on freshwater systems and urban aquatic habitats. Education: B.S. (The Ohio State University, 1995), M.S. (Idaho State University, 1998), Dr. sc. nat. (ETH Zürich, 2002) Key Positions: Senior Scientist/Research Group Leader at IGB (2008–present), Visiting Professor at Duke-NUS Medical School (2016), Guest Professor at Ehime University (2015–2016) Dr. Monaghan's research explores freshwater biodiversity dynamics using molecular tools like metabarcoding and phylogenomics. His team investigates how environmental changes—climate warming, urbanization, pollution—affect microbial and insect communities, with a focus on eDNA applications and ecohydrology. His publications (2022–2025) span topics such as climate-driven plankton shifts, urban habitat adaptation by bees, toxin genetics in algae, and metagenomic monitoring of aquatic systems. Collaborative projects like BiNatUr and ODER~SO emphasize urban resilience and disaster ecology. Teaching includes data science in biology, evolutionary ecology, and environmental genomics at Freie Universität Berlin and the Institute of Computer Science. He mentors doctoral and master’s students in molecular ecology and trains interns in biodiversity genomics. Lab Members: Dr. Dagmar Frisch (Scientific Staff) Dr. Katrin Kiemel (Postdoc) Elisabeth Funke (Research Technician) Doctoral Candidates: Onur Erk Kavlak, Athena Karapli-Petritsopoulou, Daniel Wewer
Dr. Gaël Kermarrec is a researcher at the Boundary Layer Meteorology Group , part of the Institute of Meteorology and Climatology within the Faculty of Mathematics and Physics at Leibniz University Hannover . His work focuses on atmospheric turbulence, GNSS applications, and remote sensing for environmental monitoring. Boundary layer meteorology Turbulence theory GNSS signal processing Terrestrial laser scanning Climate change impacts Geodetic time series analysis His research integrates advanced mathematical models like LR B-splines and Matérn covariance with large eddy simulations to study: Atmospheric turbulence effects on optical/GNSS signals Hydrospheric mass loading Deformation analysis of terrain/port infrastructure Climatic sea-level changes Machine learning for remote sensing The 15 most recent articles (2025-2023) demonstrate his focus on: GNSS-based turbulence detection AI-enhanced climate mapping Advanced surface approximation techniques Multi-sensor data fusion Stochastic modeling of geodetic observations Environmental impacts on optical measurements He has developed tools like the Klimascanner QGIS plugin for urban climate resilience and contributes to: Understanding atmospheric scale lengths Improving TLS/GNSS deformation monitoring Analyzing hydrospheric changes Wavefront modeling Ionospheric corrections
Prof. Harald Sternberg is a distinguished academic at HafenCity University Hamburg, holding the position of University Professor for Hydrography and Geodesy. His affiliations include the Department of Geodesy and Geoinformatics, where he leads research in hydrographic education and advanced geomatics technologies. He previously served as Vice President for Teaching and Studies (2009-2022) and Acting President (2010) of HCU. Education: Ph.D. in Geodesy from University of the Bundeswehr Munich (1999), specializing in trajectory determination of land vehicles using hybrid systems. Early career included roles as scientist at Bundeswehr University (1991-2001) and academic leadership at HAW Hamburg (2005-2009). Research focuses on underwater mapping, navigation systems, and sensor integration. Key projects include: Level 5 Indoor Navigation (5G-based positioning), hydrothermal vent exploration using deep-towed multibeam systems, and low-cost mobile mapping solutions. He also investigates smartphone-based inertial navigation and autonomous underwater vehicles for infrastructure monitoring. Publications span underwater vision systems, satellite-derived bathymetry, and 3D point cloud analysis. Over 200 peer-reviewed articles and book chapters reflect expertise in geomatics applications. Current research emphasizes 5G-enabled indoor navigation and environmental sensor networks. Grants include BMWK-funded autonomous deep-sea monitoring and BGR exploration projects in the Indian Ocean. His lab develops innovative tools like the HOMESIDE sled for seafloor surveys. Supervises Ph.D. research on hydrothermal vent analysis and data-driven inertial localization.
Prof. Dr. Ralf Merz serves as Head of the Department of Catchment Hydrology at the Helmholtz Centre for Environmental Research (UFZ) and holds a Full Professorship in Catchment Hydrology at Martin-Luther University Halle-Wittenberg since 2011. His career bridges hydrological modeling, flood risk assessment, and water quality analysis across diverse climates from Central Asia to Europe. MSc in Civil Engineering (Technical University of Karlsruhe, 1997) PhD in Hydrology (Vienna University of Technology, 2002) Habilitation in Hydrology (Vienna University of Technology, 2009) Research Interests span comparative hydrology, flood generation mechanisms, climate change impacts on water resources, and nitrate dynamics in river systems. His work emphasizes process-based understanding of runoff events and regional flood modeling through innovative approaches like the PHEV distribution framework. Scientific Contributions include over 100 publications (2003-2025) on: Flood frequency analysis in changing climates Groundwater recharge in arid regions Hydrochemical response to droughts Remote sensing applications for groundwater studies Multi-response calibration of hydrological models Key projects involve MOSES observatory development, TRACER research school, and Pamir Mountains glaciological studies. Recognitions : APART research grant (Austrian Academy of Sciences, 2006) Leadership extends to directing the Catchment Hydrology department and participating in European hydrological networks like the Bode Hydrological Observatory and TERENO infrastructure. His methodological advancements include flood time-scale analysis and event runoff coefficient regionalization.
Professor Joaquim Pinto is a leading climate scientist at the Karlsruhe Institute of Technology (KIT), where he serves as Head of the Working Group "Regional Climate and Weather Hazards" and as Spokesperson of the collegial institute management team. He holds the prestigious AXA Research Fund Chair position at the Institute of Meteorology and Climate Research - Troposphere Research (IMK-TRO). His academic background includes a Licenciate in Geophysical Sciences - Meteorology from the University of Lisbon (1990-1996), PhD studies at the University of Cologne (1998-2002), and academic positions at the University of Cologne (2002-2016) and University of Reading (2013-2016) before joining KIT in 2016. He became a Privatdozent (lecturer) at the University of Cologne in 2011 and earned his habilitation with research on extreme European wind storms. Professor Pinto's research focuses on mid-latitude meteorology and climatology, with special emphasis on extreme weather events , climate variability in Europe across multiple time scales, regional climate modeling and downscaling methods , and the diagnostic modeling and quantification of risks associated with extreme events affecting Europe. His work bridges fundamental climate science with practical applications for risk assessment and management. His extensive publication record demonstrates expertise in analyzing European windstorms, heatwaves, and compound extreme events. Recent work examines the impacts of climate change on wind energy potential, extreme precipitation events, and the complex interactions between atmospheric circulation patterns and regional climate extremes. His research often employs high-resolution climate modeling, statistical-dynamical downscaling approaches, and interdisciplinary collaborations to address pressing climate challenges. AXA Research Fund Chair in Regional Climate and Weather Hazards Professor Pinto teaches graduate and undergraduate courses including "Climate Modelling and Dynamics with ICON," "IPCC Assessment Report," "Climatology," "Energy Meteorology," "Methods of Data Analysis," and "Regional Climate and Weather Hazards." His teaching reflects his research expertise in climate modeling, extreme events, and regional climate change impacts.
Dr. Matthias Cuntz is a Senior Researcher at the Department of Computational Hydrosystems within the Helmholtz Centre for Environmental Research (UFZ) in Leipzig, Germany. He leads the Regional Ecophysiology group and focuses on integrating stable isotopes, remote sensing, and computational modeling to study terrestrial ecosystems. Research Interests: Energy, water, and trace gas exchange in ecosystems; stable isotope applications; global water-carbon cycle modeling; eddy-covariance flux analysis; sap flow dynamics. Key Projects: Involved in TERENO (Terrestrial Environmental Observatories) and ICOS (Integrated Carbon Observation System) for long-term ecological monitoring. Recent Publications address soil freeze-thaw processes, Amazon forest carbon dynamics, hydrological model calibration, and isotopic partitioning of evapotranspiration. His work spans computational hydrology, remote sensing validation, and uncertainty quantification in environmental models. Contact: Email: matthias.cuntz@ufz.de Personal Webpage: www.macu.de
Dr. Benedikt Aumeier is a Research Fellow and head of the working group "Advanced Water Treatment" at the Chair of Urban Water Management, Department of Civil, Geo and Environmental Engineering, TUM School of Engineering and Design at the Technical University of Munich since 2023. Previously, he served as a Post-Doc and Working Group Leader at the Institute of Urban Water Management, RWTH Aachen University from 2020-2023. Dr. Aumeier holds a Dr.-Ing. from the Chair of Chemical Process Engineering at RWTH Aachen University (2020), an M.Sc. in Management and Technology of Water and Wastewater from the University of Duisburg-Essen (2011-2013), and a B.Sc. in Chemical Engineering from the Technical University of Munich (2007-2011). His research focuses on advanced water treatment processes for direct and indirect water reuse, drinking water treatment, and wastewater treatment. Key areas include adsorption/sorption, membrane filtration, advanced oxidation processes, and disinfection. He investigates competitive adsorption in aqueous media, novel sorbent regeneration methods, membrane fouling countermeasures, and process modeling. His work addresses removal of persistent and mobile organic contaminants including PFAS, as well as microorganism elimination. Dr. Aumeier's publications demonstrate a strong trend toward addressing emerging water quality challenges, particularly concerning persistent organic pollutants and advanced treatment technologies. His research spans fundamental studies on adsorption mechanisms to practical applications for water reuse and decentralized treatment systems, with increasing focus on PFAS removal and compliance with regulatory frameworks. Mitglied im Fachausschuss "Persistente-Mobile-Toxische (PMT) Stoffe" der Wasserchemischen Gesellschaft, Gesellschaft Deutscher Chemiker (GDCh) Mitarbeit an DWA M1200 Teil 2 "Wasserwiederverwendung für landwirtschaftliche und urbane Zwecke in Deutschland" At TUM, Dr. Aumeier teaches courses including "Natural processing methods," "Advanced Water Treatment Engineering and Reuse," and "Industrial wastewater treatment and reuse," demonstrating his commitment to educating the next generation of water professionals. He leads the "Advanced Water Treatment" working group, which focuses on developing and applying innovative water treatment technologies to address contemporary water quality challenges under changing climate conditions.
