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Claudia Diehl is a Professor of Microsociology at the University of Konstanz, Germany, and co-speaker of the Cluster of Excellence The Politics of Inequality . She is actively involved in research on migration, integration, ethnic discrimination, and educational inequality. Her recent work includes leading the PerFair project on students' perceptions of fairness in schools. She has held visiting positions at the Graduate Center of the City University of New York and the Munk School in Toronto. PhD in Sociology, University of Mannheim (2001) Former Professor, University of Göttingen Former Researcher, Federal Institute for Population Research Her research focuses on social and ethnic inequalities , particularly in education and labor markets. She investigates how immigrants and ethnic minorities experience discrimination, integration, and social mobility in Germany and Europe. Her interdisciplinary work combines sociological theory with empirical data from large-scale surveys and policy-relevant studies. The analysis of her recent publications reveals a consistent research trajectory centered on migration, integration, and inequality . Her work spans topics such as wage fairness, educational tracking, labor market participation, and perceived discrimination. There is a strong emphasis on comparative and longitudinal analysis , often using German and European datasets. Her publications appear in high-impact journals in sociology, migration studies, and social policy. Member, Advisory Board for Family Affairs Appointed to The Standing Conference of the Ministers of Education and Cultural Affairs of the Länder in Germany Claudia Diehl leads major research initiatives and collaborates with national and international scholars. She has contributed to policy discussions on integration, family, and education. While no direct mention of grants or advising is made, her leadership in large projects suggests active grant management and mentorship roles. She has published extensively, including special issues, edited volumes, and numerous journal articles.

• Microsociology
• Migration
• Integration
• +7 more

Dr. Moritz Ziegler is a geomechanics researcher affiliated with the Technical University of Munich (TUM) and the Assistant Professorship of Geothermal Technologies . He previously worked at GFZ Potsdam (2017–2023) and earned his PhD in Geophysics from the University of Potsdam (2014–2017). His research focuses on geomechanical numerical modeling , uncertainty quantification , and 3D stress field analysis , with applications to geothermal energy, seismic hazard, and rock mechanics. Education: Bachelor of Science in Geosciences (2008–2011), Freie Universität Berlin Master of Science in Geophysics (2011–2014), University of Potsdam PhD in Geophysics (2014–2017), University of Potsdam & GFZ Potsdam His work integrates advanced computational methods ( Altair Hypermesh , Dassault Systèmes Abaqus , Python , Matlab ) to address complex geomechanical problems. Recent publications analyze stress gradients in the North Alpine Foreland Basin, fault-stress interactions, and physics-based machine learning in geomechanics. He has contributed to software development (DOuGLAS v1.0) and calibration tools (FAST Calibration v2.4). Scientific awards or honors are not explicitly mentioned in the provided text. However, his research has been published in leading journals such as Geophysical Journal International , Solid Earth , and Pure and Applied Geophysics .

• Geomechanics
• Geophysics
• Numerical Modeling
• +5 more

Prof. Dr. Frederik Tilmann is a leading seismologist at the GFZ German Research Centre for Geosciences (Section 2.4 Seismology) and a professor at the Freie Universität Berlin . His work focuses on seismic waveform analysis to understand geodynamic processes in subduction zones and continental collisions. Current affiliations: Head of Seismology Section, GFZ Potsdam University Professor, Freie Universität Berlin Research interests include: Earthquake source characterization Seismic tomography methods Mantle dynamics and lithospheric deformation Machine learning applications in seismic data analysis Volcano-seismic monitoring Ocean bottom seismology techniques Recent publications highlight advancements in: Full waveform inversion for mantle dynamics Machine learning for seismic phase picking Anisotropy studies in Alpine and Himalayan regions Subduction zone microseismicity analysis Volcano-induced landslide detection Scientific awards include: Feodor-Lynen Fellowship (Humboldt Foundation) Trinity Hall College Staff Fellowship Multiple citations in high-impact journals Collaborative work spans global seismic infrastructure projects like SMART cables, the Collaborative Seismic Earth Model, and the AlpArray network. His methodology innovations in shear wave splitting and depth phase picking have become standards in computational seismology.

• Seismology
• Geophysics
• Earthquake Analysis
• +3 more

Mikko Myrskylä is Director at the Max Planck Institute for Demographic Research (MPIDR) and Professor of Social Data Science at the University of Helsinki. Previously, he served as Professor of Demography at the London School of Economics. His academic training includes a PhD in Demography from the University of Pennsylvania and a PhD in Statistics from the University of Helsinki. His research focuses on population health, fertility dynamics, and demographic forecasting. Key areas include: Low fertility determinants through the ERC Synergy project BIOSFER Social inequalities in health via the Max Planck-University of Helsinki Center Labor demography and population aging He leads MPIDR's Laboratory of Population Health, Laboratory of Fertility and Well-Being, and Research Group Labor Demography. Myrskylä's recent publications show strong emphasis on: Fertility trends under economic uncertainty Health disparities across migration/life course stages Family dynamics and aging societies Methodological innovations in demographic analysis Work frequently employs large-scale register data and cross-national comparisons, particularly in Nordic contexts. He leads major collaborative initiatives including: ERC Synergy project BIOSFER (low fertility causes) MaxHel Center (social inequalities in health) with extensive interdisciplinary teams across Europe.

• Demography
• Population Health
• Fertility Dynamics
• +3 more

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.

• Ecohydrology
• Hydrology
• Landscape Ecology
• +6 more

Albert Esteve is a research professor in the Department of Sociology at the Autonomous University of Barcelona and serves as the director of the Center for Demographic Studies (Centre d'Estudis Demogràfics or CED). He also holds the position of Rector at the European Doctoral School of Demography. His research specializes in demography with particular focus on family structures, households, and macro-level demographic patterns through international comparisons. Esteve frequently utilizes survey and population census data in his work and has made significant contributions to the Integrated Public Use of Microdata Series (IPUMS) project's international version. Esteve's scholarly output demonstrates consistent productivity with publications spanning from 2006 to 2025, including multiple articles in 2024 and forthcoming publications in 2025. His research portfolio reveals several key thematic areas including fertility patterns (particularly in Spain and Latin America), household composition across different cultural contexts, marriage and cohabitation patterns, and the relationship between education and demographic behavior. He has conducted extensive comparative work across Europe, Latin America, East Asia, and Africa. Esteve has secured significant research funding from prestigious organizations including the European Research Council and the Government of Spain. His leadership roles at the Center for Demographic Studies and the European Doctoral School of Demography position him at the forefront of demographic research and education in Europe.

• Demography
• Family Studies
• Household Studies
• +3 more

Prof. Roland Pail is a full Professor of Astronomical and Physical Geodesy at the Technical University of Munich (TUM). He leads the Chair of Astronomical and Physical Geodesy, part of the TUM School of Engineering and Design. His research focuses on physical and numerical geodesy, global/regional gravity field modeling, and satellite gravity missions like GOCE, GRACE, and future initiatives like MAGIC. He has held leadership roles, including President of IAG Commission 2 (2015–2019) and Vice Dean of TUM's Department of Aerospace and Geodesy. Pail earned his doctorate (sub auspiciis praesidentis) from TU Graz (1999) and habilitation in 2002. He is a Fellow of the International Association of Geodesy and has received numerous awards for his contributions to geodesy. His work integrates satellite data with geophysical modeling to monitor mass transport processes (e.g., ocean circulation, ice melt) and Earth's interior dynamics. He collaborates internationally on missions such as the DFG Research Training Group UPLIFT and the MAGIC constellation. Key publications include gravity field models (e.g., XGM2016, GOCO06s) and studies on future mission design, stochastic modeling, and climate monitoring. Pail’s scientific awards include the IAG Fellowship (2011), Young Authors Award (2006), and the Allmer-Löschner Prize (2000). His research also addresses quantum sensor applications in satellite gravimetry and the development of next-generation gravity field retrieval techniques.

• Physical Geodesy
• Satellite Geodesy
• Global and Regional Gravity Field Modeling
• +4 more

Patrick Henkel is a Professor at the Technical University of Munich (TUM) affiliated with the TUM School of Engineering and Design and the Chair of Communication and Navigation. He holds a professorship in Satellite Geodesy under Prof. Hugentobler. His research focuses on advanced positioning technologies, including Global Navigation Satellite Systems (GNSS), autonomous systems, and sensor fusion. He develops algorithms for precise positioning in challenging environments such as urban areas, alpine regions, and indoor spaces. His work also extends to environmental applications, such as snow hydrology and climate monitoring using GNSS signals. Henkel’s contributions include innovations in real-time kinematic (RTK) positioning, UAV navigation, and multi-sensor integration for robotics and autonomous vehicles. His research is supported by collaborations with industry and academic partners, addressing both theoretical and applied challenges in geodesy and navigation. Henkel leads projects on GNSS signal processing, satellite-based environmental monitoring, and autonomous driving technologies. He has contributed to the Galileo HAS service and developed methodologies for snow water equivalent estimation using multi-frequency GNSS signals. His expertise spans hardware-software co-design for navigation systems and algorithm optimization for high-precision positioning in dynamic environments. He actively publishes in top-tier journals and conferences, with a focus on advancing the reliability and accuracy of navigation systems across various domains. His advising and grants include funding for projects on sensor fusion, UAV-based measurements, and satellite receiver development. He collaborates with teams at TUM’s Navigation Lab and the Professur für Satellitengeodäsie, contributing to both academic and industrial applications. His work on low-bandwidth RTK dissemination and laser-tracker verified UAV positioning highlights his commitment to bridging theoretical advancements with real-world implementation.

• Global Navigation Satellite Systems (GNSS)
• Autonomous Systems
• Sensor Fusion
• +4 more

Pekka Martikainen is a leading researcher in population health and demography, affiliated with the Population Research Unit at the Faculty of Social Sciences, University of Helsinki . He is also actively involved with the MaxHel Center and the Laboratory of Population Health , contributing to major research initiatives such as the Monitoring Mortality Inequalities Consortium and studies on immigrant-native health disparities. His research focuses on social and economic determinants of health and mortality over the life course, using extensive Finnish register data. Key interests include fertility and family dynamics , health inequalities , migration and health , early-life determinants of health, and behavioral factors influencing mortality. His work often explores intergenerational linkages and the role of socioeconomic status in shaping health outcomes. The most recent publications reflect a strong emphasis on mental health , genetic and social interactions , educational and occupational influences on health , and disparities in cancer and reproductive health . Studies frequently employ longitudinal, register-based designs across Nordic and European populations, highlighting cross-national comparative insights. Behavioral Determinants of Health and Mortality Costs and Gains of Postponing Parenthood Immigrant-Native Health Disparities Over the Life Course Linked Lives: Family and Socioeconomic Attainment Medically Assisted Reproduction Mortality Disparities at Subnational Level His research has been published in top journals including The Lancet , Demography , Social Science and Medicine , and European Journal of Epidemiology . He collaborates extensively with researchers at the Max Planck Institute for Demographic Research and leads or contributes to multiple large-scale projects analyzing health and demographic trends in Finland and beyond. Martikainen’s work informs public health policy and contributes to understanding how social structures and individual behaviors interact to shape population health and longevity. He plays a central role in advancing register-based demographic research in Europe.

• Population Health
• Social Epidemiology
• Demography
• +7 more

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

• Boundary Layer Meteorology
• Atmospheric Turbulence
• GNSS Applications
• +3 more

Professor Dr. Martin Grepl is a faculty member at RWTH Aachen University, where he holds the Lehr- und Forschungsgebiet Optimierung mit partiellen Differentialgleichungen (Teaching and Research Area in Optimization with Partial Differential Equations). He has been affiliated with RWTH Aachen since 2009, first as a Professor (W1) and since 2014 as a Professor (W2). Education: Diplom-Ingenieur (Aerospace Engineering), University of Stuttgart (2000) Master of Science (Mechanical Engineering), MIT (2001) Doctor of Philosophy (Mechanical Engineering), MIT (2005) His research focuses on numerical methods for partial differential equations (PDEs) , particularly model order reduction , reduced basis methods , finite element methods , and optimal control for parametrized PDEs. He also investigates parameter estimation , inverse problems , and control constraints in elliptic and parabolic PDE systems. The scientific awards he has received include the Studienstiftung des deutschen Volkes (1997-2000), a Fellowship from the Dr. Jürgen Ulderup-Stiftung (1998-1999), and the Lehrpreis der Fachschaft Mathematik/Physik/Informatik (2011). His work spans applications in manufacturing , medical physics , and fluid dynamics , as evidenced by his patents and collaborative research. His publications demonstrate expertise in reduced basis methods for nonaffine/nonlinear PDEs , trust region optimization , and error bounds for real-time and many-query scenarios. His collaborations often involve interdisciplinary applications, including thermal conduction , welding processes , and glomerular filtration modeling .

• Numerical Methods for Partial Differential Equations (PDEs)
• Model Order Reduction
• Reduced Basis Methods
• +4 more

Rupert Klein is a Professor at Freie Universität Berlin in the Department of Mathematics and Computer Science , specializing in Geophysical Fluid Dynamics . His research spans atmospheric dynamics, numerical methods, and gas dynamics of combustion. Research Interests : Geophysical Fluid Dynamics and Atmospheric Modeling Multiscale Asymptotic Analysis Wave Propagation and Turbulence Combustion and Pressure Gain Combustion Climate Dynamics and Data Assimilation Scientific Awards : DRS Award for Excellent Supervision (2014) ECMWF Fellowship (renewed 2017) His recent work includes multiscale models for atmospheric flows, vortex dynamics, and combustion processes. Key collaborations involve DFG SPP 1276, CRC 1029 (TurbIn), and CRC 1114 (SCCS) projects. He contributes to numerical methods for low-Mach-number flows and geophysical simulations.

• Geophysical Fluid Dynamics
• Atmospheric Dynamics
• Numerical Methods
• +3 more

Dr. Florian Börgel is a Senior Research Scientist and leader of the Junior Research Group Large-Scale Circulation and North European Climate Variability at the Leibniz Institute for Baltic Sea Research (IOW) in Warnemünde. He holds a Dr. rer. nat. in Physical Oceanography (2020) from IOW, an M.Sc. in Engineering Physics from the University of Oldenburg (2017), and a B.Eng. from the University of Applied Sciences Münster (2014). His research focuses on large-scale ocean-atmosphere interactions, regional climate dynamics in Northern Europe and the Baltic Sea, and the application of machine learning to improve climate models and river runoff forecasting. Key areas include Atlantic Multidecadal Variability (AMV), teleconnections between the North Atlantic and regional climates, and the impacts of climate drivers on marine environments. Notable achievements include the Outstanding Early Career Scientist Award (EGU 2023) and membership in expert groups such as the UN’s World Ocean Assessment III and the CMIP7 Data Analysis Working Group. He co-leads the Baltic Earth Teleconnections Working Group, focusing on North Atlantic-Baltic Sea linkages. Awards: EGU Early Career Award (2023), Fulbright Scholarship (2015-16) Grants/Positions: IOW appointee to Deutsches Klima-Konsortium (DKK), Parental Leave (2019-2020) Labs/Teams: Leads the Large-Scale Circulation group; contributes to the Baltic Sea Model Intercomparison Project (BMIP) and Validator tool development

• Climate Science
• Oceanography
• Computational Modeling
• +3 more

Dr. Bronwyn Cahill is a Senior Scientist and Research Group Leader leading the Integrated Optical Remote Sensing Research Group at the Leibniz Institute for Baltic Sea Research Warnemünde (IOW), Germany. Her interdisciplinary research integrates optical remote sensing, in situ data, data science, and bio-optical process modeling to address challenges in coastal and marine ecosystems, with a focus on land-ocean connectivity, underwater lightscapes, and biogeochemical cycles. Education: Ph.D. in Oceanography (2006) – University of Rhode Island, USA BSc (Honours) in Ocean Science (1993) – University of Plymouth, UK BA (Honours) in French and Philosophy (1989) – Trinity College Dublin, Ireland Research Interests: Her work centers on understanding how changing light climates impact marine ecosystems and carbon cycles. Key themes include optical remote sensing applications, climate change effects on coastal seas, marine heatwaves, phytoplankton dynamics, and the development of advanced biogeochemical models for marginal seas like the Baltic. Publication Trends: Her 15 most recent articles (2011-2025) predominantly explore marine biogeochemistry, climate impacts on coastal systems, and ocean-atmosphere interactions. Over 60% focus on Baltic Sea dynamics, employing modeling, remote sensing, and field data to analyze carbon fluxes, algal blooms, and ecosystem responses to environmental stressors. Projects & Grants: She leads several major initiatives: SEAGUARD (2025-2027): AI-driven seagrass adaptation research (BMUKN-funded) ISOLUME (2025-2028): Lightscape indicators in marine ecosystems (BMFTR-funded) KIVib Küste (2025-2026): AI-based Vibrio risk assessment (EFRE-funded) SkaMix-WMT (2025-2028): Water mass transformation in Skagerrak (DFG-funded) Leadership: Heads the Integrated Optical Remote Sensing Research Group at IOW, fostering collaborations across physical, biological, and chemical oceanography to advance predictive capabilities for marine environmental change.

• Oceanography
• Remote Sensing
• Marine Biogeochemistry
• +3 more

Ulisse Gomarasca is a doctoral researcher at the Max Planck Institute for Biogeochemistry's Department Biogeochemical Integration, affiliated with the International Max Planck Research School for Global Biogeochemical Cycles (IMPRS-gBGC). He works within the Global Diagnostic Modelling group and Ecosystem Function from Earth Observation project team, focusing on understanding ecosystem functioning through eddy covariance fluxes and biodiversity links. Education: Master's in Ecology and Biodiversity from University of Innsbruck Research: Spatiotemporal dynamics of ecosystem functioning, Sun-Induced Chlorophyll Fluorescence, drought legacy effects on productivity Methodologies: Remote sensing integration with eddy covariance networks, biodiversity-ecosystem function analysis His publications address terrestrial ecosystem responses to climate extremes, scaling of plant traits to ecosystem level, and development of remote sensing tools like the Biodiversity Observing System Simulation Experiment (BOSSE). This work combines satellite observations with ground-based flux measurements to understand global biogeochemical patterns. Contact: ugomar@bgc-jena.mpg.de

• Biogeochemistry
• Ecosystem Ecology
• Remote Sensing
• +3 more