جست‌وجوی استاد و پژوهشگر

Bernd Klauerمشاهده پروفایل

استاد

• Water resources economics
• Ecological economics
• Environmental and resource economics
• +۷ مورد دیگر

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.

Benjamin de Haasمشاهده پروفایل

پژوهشگر

• Visual Perception
• Face Processing
• Individual Differences
• +۳ مورد دیگر

Dr. Benjamin de Haas is a vision scientist and faculty member at Justus Liebig University Giessen , Germany, within the Department of Psychology and Sports Science . He currently leads the ERC-funded Indivisual project and co-leads project C9 Factors influencing categorical face processing within the Collaborative Research Centre CRC/TRR 135. He is also a principal investigator in the NeurOscientific Workflow Assistance (NOWA) infrastructure project, dedicated to open, reproducible neuroscience. Research Focus Dr. de Haas pursues two intertwined questions: How do early and late stages of visual processing interact—from the initial registration of slanted edges to the recognition of faces? How and why do our perceptions differ from one person to the next? To answer these questions his group combines psychophysics, high-resolution eye-tracking, functional and quantitative MRI, and computational modelling, with a strong emphasis on face perception, individual differences, and naturalistic viewing conditions. Publications Overview Across more than 20 publications since 2016, Dr. de Haas has advanced understanding of individual differences in face processing, gaze control, and visual salience. His work repeatedly appears in Journal of Vision , Nature Communications , PNAS , and NeuroImage , highlighting a sustained focus on eye-movement behaviour, cortical representations of faces and scenes, and methodological best practices in neuroimaging. Current Supervision & Team Dr. de Haas currently supervises two PhD students: Elaheh Akbarifathkouhi Hilal Nizamoglu Together with Dr. Katharina Dobs (co-project leader) and affiliated post-docs and research technicians, the group forms the Indivisual laboratory at Giessen. Contact & Resources Email: Benjamin.de-Haas@psychol.uni-giessen.de Department of Psychology and Sports Science Otto-Behaghel-Str. 10F, 35394 Gießen, Germany

Catherine Crockfordمشاهده پروفایل

استاد پژوهشی

• Primate Behavior
• Social Cognition
• Vocal Communication
• +۴ مورد دیگر

Dr. Catherine Crockford is Research Professor and Director of the Ape Social Mind Lab at the Max Planck Institute for Evolutionary Anthropology, affiliated with the Department of Human Behavior, Ecology and Culture. She co-directs the Tai Chimpanzee Project in Ivory Coast, studying habituated chimpanzee groups and sooty mangabeys. Her research examines primate social cognition, communication evolution, and neuroethology through behavioral observations, hormone sampling, and neuroimaging. Key interests include: Evolution of social bonding and cooperation mechanisms Maternal effects on offspring development Vocal communication and combinatorial signaling Neurobiological bases of social behavior Her publications demonstrate consistent focus on chimpanzee vocal combinatorics, stress physiology, social learning, and comparative neuroanatomy, often integrating field data with endocrine and imaging methodologies. She leads an ERC project investigating early-life influences on social skills and supervises 8 PhD students researching primate communication, social dynamics, and energetics. Laboratory infrastructure supports field endocrinology and collaborative neuroimaging studies.

Juliane Hausمشاهده پروفایل

پژوهشگر ارشد

• Mobility
• Traffic
• Social Science Research Methods
• +۴ مورد دیگر

Dr. Juliane Haus is a Research Fellow at WZB Berlin Social Science Center, affiliated with the Research Group Digital Mobility and Social Differentiation. Her work focuses on mobility transitions, social science research methods, ethnomethodology, and video analysis. She holds a PhD in Sociology from TU Berlin (2019). Her research integrates transdisciplinary approaches, emphasizing experimental design, policy evaluation, and visualization in urban mobility contexts. Key projects include BeNaMo (synthesizing sustainable urban mobility research), WiSEV (enhancing municipal traffic transition projects), and 'Verkehrswende erleben' (visualizing car-free urban spaces). Publications span edited handbooks, peer-reviewed articles on mobility policy nexus, and ethnographic studies of economic laboratories. Her work bridges theory and practice, addressing interdisciplinary collaboration between academia, policy, and industry. Awards: None explicitly listed. Advising: No students listed. Grants: Multiple BMBF-funded projects. Labs/Teams: Active in WZB research groups and external collaborations.

Jörg Hackermüllerمشاهده پروفایل

استاد

• Bioinformatics
• Omics Data Analysis
• Toxicology
• +۳ مورد دیگر

Prof. Dr. Jörg Hackermüller is a computational biologist with expertise in Omics data integration Toxicology Environmental risk assessment Non-coding RNA biology . He serves as Head of the Department of Computational Biology and Chemistry at the Helmholtz Centre for Environmental Research (UFZ) since 2024 and holds a Professorship at the Faculty of Mathematics and Computer Science at Leipzig University since 2021. His research focuses on Developing AI methods for chemical toxicity prediction Multi-omics integration for mechanistic toxicology Data standardization in environmental monitoring Non-coding RNAs as biomarkers in disease and toxicity and has produced 15+ recent publications spanning tools like multiGSEA and deepFPlearn+ . He collaborates with teams across UFZ Leipzig University Novartis Fraunhofer Institute and leads projects like InCeTo and SafePol , integrating exposome research with systems biology.

Andreas Heppمشاهده پروفایل

استاد

• Mediatization
• Datafication
• Automation of Communication
• +۴ مورد دیگر

Andreas Hepp is a Professor of Media and Communications and Head of ZeMKI at the University of Bremen , Germany. His work focuses on mediatization, datafication, and communicative AI, with affiliations to the ComAI Research Unit and Commfigurations. Previously held positions include roles at the University of Trier, Karlsruhe Institute of Technology (KIT), and others. He has been a Visiting Researcher at institutions like LSE, Stanford, and Goldsmiths. Research interests span media sociology, automation of communication, and digital futures. Current projects include the ComAI coordination project funded by DFG, exploring societal implications of AI in communication. He leads the Datafication and Mediatization Lab and co-develops the molo.news platform for local journalism. Notable publications include The Mediated Construction of Reality (2017) and Deep Mediatization (2020). Active in academic networks like DFG-funded ComAI, German Communication Association (DGPuK), and European Communication Research and Education Association (ECREA). Upcoming engagements include keynote speeches at AI meets HSS (Vienna) and ZeMKI's 20th-anniversary conference. Grants include DFG funding for ComAI research. Teaching and advising focus on media-society relationships and digital transformations. Collaborates on OpenQDA software for qualitative data analysis and advocates for alternative social media platforms.

Hannes Taubenböckمشاهده پروفایل

استاد

• Remote Sensing
• Global Urbanization
• Urban Structure Analysis
• +۶ مورد دیگر

Prof. Dr. Hannes Taubenböck holds the Chair of Global Urbanization and Remote Sensing at the Julius-Maximilians University of Würzburg (Faculty of Philosophy, Institute of Geography and Geology) since 2022 and collaborates with the German Aerospace Center (DLR). His research bridges remote sensing with urban geography, focusing on: Global urbanization patterns and structural analysis Informal settlements (slums/refugee camps) Climate change and natural hazard vulnerability Migration dynamics via remote sensing and social media He obtained his PhD (2008) and habilitation (2019) at JMU Würzburg, preceded by geography studies at LMU Munich (1999-2004). His recent publications analyze: Climate impacts on African agriculture Urban permeability and walkability Border region disparities Heat exposure modeling Methodologically, he specializes in: Deep learning for earth observation Multi-modal data fusion Urban pattern classification Building stock analysis His work informs policy applications in: EU cohesion programs Disaster risk reduction Environmental justice Urban sustainability

Chi Jinمشاهده پروفایل

پژوهشگر

• Urban sociology
• Urban geography
• Housing Studies
• +۶ مورد دیگر

Chi Jin is a Researcher in Sociology at the John F. Kennedy Institute, Department of Sociology, Freie Universität Berlin since March 2024, supervised by Prof. Sebastian Kohl. Concurrently, Jin is completing a PhD in Housing Systems at Delft University of Technology (expected April 2025) under Prof. Peter Boelhouwer, with prior industry experience at Shimao Real Estate in Shenzhen. Education: PhD in Housing Systems, Delft University of Technology, Netherlands (2020-2025) MS in Architecture and Civil Engineering, Chongqing University, China (2015-2018) BS in Engineering Management, Yangtze University, China (2011-2015) Research spans urban sociology, housing studies, migration, behavioral economics, and sustainable development, with focus on young talents' housing and migration decisions in Chinese metropolises. Jin integrates sociological, geographical, and economic perspectives to analyze residential mobility, satisfaction, and urban policy impacts, particularly in Shenzhen. Publications reveal consistent interdisciplinary focus on Chinese urban dynamics, housing systems, and talent migration. Recent work extends to sustainable small-town development using big data and city attribute effects on student retention, demonstrating methodological evolution from behavioral economics to spatial analytics while maintaining China-specific urbanization themes. Academic service includes coordinating the ENHR Conference 2024 and Sustainable Housing Summer School 2023, plus reviewing for Cities, Journal of Housing and the Built Environment, and International Journal of Housing Policy.

Maxim Romanovمشاهده پروفایل

پژوهشگر ارشد

• Social history of premodern Islamic world
• Arabic written tradition
• Computational methods
• +۳ مورد دیگر

Maxim Romanov heads 'The Evolution of Islamic Societies' project at University of Hamburg's Asia-Africa-Institut, funded by DFG's Emmy Noether Program. Former positions include senior research fellow at KITAB Project and University of Vienna. Research reconstructs social history of Islamic world (c.600-1600 CE) through computational analysis of Arabic chronicles and biographical collections. Research Focus: Digital humanities approaches to premodern Islamic history including OCR development for Arabic manuscripts, corpus linguistics, and geospatial modeling of historical data. Technical Contributions: Developed OpenITI corpus infrastructure, al-Ṯurayyā gazetteer system, and computational methods for large-scale historical text analysis. Recent work enhances NLP for classical Arabic with OCR accuracy exceeding 90%.

Sarah Ruth Sippelمشاهده پروفایل

استاد

• Critical Agrarian Studies
• Agri-Food Studies
• Financialization of Nature
• +۱۳ مورد دیگر

Sarah Ruth Sippel is a Professor in Human Geography at the Institute of Geography, University of Münster. Her research spans critical agrarian and agri-food studies, financialization of nature, digital farming technologies, and sustainable livelihoods, with regional focus on the Mediterranean, Australia, and the US. She leads major research projects funded by the German Research Foundation and has received the prestigious Marie Skłodowska-Curie Global Fellowship. PhD in Geography, Leipzig University (2012) Habilitation in Geography, Leipzig University (2020) Magister Artium, Middle Eastern Studies and Philosophy, Leipzig University (2007) Her research explores the financialization of farmland, digital agriculture, and alternative economic futures, with a strong emphasis on political and social geography. She investigates how digital technologies, financial actors, and global capital reshape land use, labor, and food systems, particularly in Australia and Morocco. Recent publications highlight trends in digital farming, land assetization, and food sovereignty. Her work critically engages with the role of venture capital, startups, and data in transforming agriculture, while also exploring grassroots resistance and alternative economic models. Marie Skłodowska-Curie Global Fellowship Sippel has supervised and collaborated with numerous researchers across institutions including the University of Queensland, University of Graz, and the International Institute of Social Studies. She is actively involved in teaching courses on economic geography, globalization, and critical debates in human geography, and leads field schools in Italy. She is currently on parental leave until summer 2025. She is a principal investigator in the Collaborative Research Centre SFB 1199 ‘Processes of Spatialization Under the Global Condition’ and has led multiple interdisciplinary projects on land, finance, and sustainability.

Jakob Beetzمشاهده پروفایل

استاد

• Building Information Modeling (BIM)
• Digital Twins
• Artificial Intelligence in Construction
• +۳ مورد دیگر

Prof. Dr. Jakob Beetz serves as a University Professor at RWTH Aachen University's Faculty of Architecture, leading the Design Computation (DC) research group. His work addresses critical challenges in sustainable built environments through digital innovation, focusing on integrating knowledge, information, and data across disciplines to reduce the sector's energy and material consumption—which accounts for over one-third of global totals—while advancing climate goals under the European Green Deal. His research spans Building Information Modeling (BIM), digital twins, and artificial intelligence, with emphasis on graph-based data federation, semantic web technologies, and large language models in construction. Key interests include evidence-based planning, parametric design optimization, building physics simulation, and networked knowledge modeling. Recent projects explore federated digital twin ecosystems for infrastructure management, intelligent damage assessment systems, and AI-driven solutions for wood structure preservation, directly contributing to sustainable development targets. Analysis of his 2024-2025 publications reveals a cohesive trajectory toward decentralized data environments and AI integration in Architecture, Engineering, and Construction (AEC). His work bridges theoretical foundations in knowledge representation with practical applications in bridge maintenance, road infrastructure, and timber construction, demonstrating consistent innovation in spatial data querying, federated issue management, and ontology-based process modeling. Prof. Beetz actively supervises PhD candidates, as evidenced by DC.Promotions 2024, and drives international collaboration through events like the Forum Construction Informatics 2025 and CIB W78 conferences. His research group engages with industry standards including Industry Foundation Classes (IFC) and Common Data Environments (CDEs), emphasizing open data principles and interoperability to transform construction workflows.

Miguel Mahechaمشاهده پروفایل

استاد

• Ecosystem Responses to Climate Extremes
• Biogeography and Ecosystem Functioning
• Earth System Data Science
• +۴ مورد دیگر

Miguel Mahecha is Professor of Environmental Data Science and Remote Sensing at the University of Leipzig, where he serves as Institute Head of the Institute for Earth System Science and Remote Sensing. He is also affiliated with the Remote Sensing Centre for Earth System Research, a collaboration between Leipzig University and the Helmholtz Centre for Environmental Research (UFZ). Mahecha is a member of the German Centre for Integrative Biodiversity Research (iDiv) and serves as Principal Investigator in the Centre for Scalable Data Analytics and Artificial Intelligence. Additionally, he is a Fellow of the European Laboratory for Learning and Intelligent Systems and co-spokesperson for the National Research Data Infrastructure for Earth System Sciences (NFDI4Earth). Full Professor for Modelling Approaches in Remote Sensing, University of Leipzig (since 03/2020) Research Group Leader: Empirical Inference in the Earth System, Max Planck Institute for Biogeochemistry, Jena (12/2012 - 03/2020) PostDoc, Max Planck Institute for Biogeochemistry, Jena (10/2009 - 11/2012) PhD in Environmental Sciences, ETH Zürich (06/2006 - 09/2009) Diploma in Geoecology, Bayreuth University (10/2000 - 04/2006) Mahecha's research focuses on understanding ecosystem responses to climate extremes and human-environment relationships during these events. He investigates macro-ecological dynamics and ecosystem functioning using data-driven methods and high-dimensional Earth observations. A key contribution is his co-development of the Earth System Data Cube concept, which integrates empirical methods with theoretical understanding to analyze complex Earth system interactions. His work spans biogeography, ecosystem functioning, and advanced data science methodologies for environmental monitoring. His recent publications demonstrate a strong emphasis on analyzing compound climate extremes, particularly heatwaves and droughts, and their impacts on ecosystems. Mahecha has pioneered methods using Earth System Data Cubes to integrate diverse environmental datasets, enabling novel insights into biosphere-atmosphere interactions. His research increasingly incorporates artificial intelligence and machine learning approaches to understand spatiotemporal patterns in ecological systems, with applications in real-time forest monitoring and biodiversity assessment. Fellow of the European Laboratory for Learning and Intelligent Systems Co-spokesperson for NFDI4Earth (National Research Data Infrastructure for Earth System Sciences) Mahecha leads multiple significant research projects including Digital Forest (real-time forest monitoring), NFDI4BioDiversity, and XAIDA (extreme events: AI for Detection and Attribution). His work receives funding from diverse sources including EU, DFG, and Stiftungen Inland. He collaborates extensively with the German Centre for Integrative Biodiversity Research (iDiv) and the Centre for Scalable Data Analytics and Artificial Intelligence. His research group, Earth System Data Science (ESDS), focuses on developing methods to extract valuable information from long-term environmental observations to understand coupled Earth system dynamics. At the Remote Sensing Centre for Earth System Research, Mahecha's ESDS group investigates how ecosystem functions respond to climate extremes, societal vulnerability to environmental hazards, and nonlinear interactions in coupled Earth systems. The group leverages citizen science data, remote sensing observations, and advanced computational methods to address pressing environmental questions.

Craig Knoblockمشاهده پروفایل

استاد پژوهشی

• Knowledge Graphs
• Data Semantics
• Schema Alignment
• +۵ مورد دیگر

Craig Knoblock serves as Keston Executive Director of the Information Sciences Institute (ISI) at the University of Southern California (USC), Vice Dean of the USC Viterbi School of Engineering, and Research Professor of Computer Science and Spatial Sciences. He also directs the Data Science Program and the Center on Knowledge Graphs at USC. His educational background includes a Ph.D. and M.S. in Computer Science from Carnegie Mellon University (1991, 1988) and a B.S. with honors in Computer Science from Syracuse University (1984). Knoblock's research focuses on data semantics , specializing in source modeling, schema and ontology alignment, entity and record linkage, data cleaning, Web data extraction, and knowledge graph construction. His work bridges computer science, geospatial analysis, and artificial intelligence to solve complex data integration challenges. Recent projects emphasize historical map digitization, geospatial knowledge graphs, and smart city applications. His 300+ publications demonstrate consistent contributions to knowledge graphs and geospatial data integration, with a growing emphasis on historical map analysis and urban applications. The research trajectory shows increasing interdisciplinary collaboration across computer vision, geoinformatics, and domain-specific applications. IEEE Fellow (2020) ACM Fellow (2017) AAAI Fellow (2004) Robert S. Engelmore Memorial Lecture Award (2014) Donald E. Walker Distinguished Service Award (IJCAI, 2018) Use-Inspired Research Award (USC Viterbi, 2018) As Executive Director of ISI, Knoblock oversees one of USC's premier research centers with significant federal funding. His leadership extends to directing the Center on Knowledge Graphs and the Data Science Program. While specific grant details aren't provided, his extensive publication record and leadership roles indicate substantial research funding across data integration, knowledge representation, and geospatial applications. His work bridges theoretical computer science with practical applications in historical preservation, urban planning, and resource management through collaborative projects with government agencies and industry partners. Knoblock leads the Center on Knowledge Graphs at USC, focusing on developing techniques for building and utilizing knowledge graphs across diverse domains. His team combines expertise in artificial intelligence, geospatial analysis, and data integration to tackle challenges in historical map digitization, urban applications, and resource discovery. The research group maintains strong connections with both academic and government partners through the Information Sciences Institute's extensive network.

• Civil Engineering
• Geomatics
• Construction Informatics
• +۳ مورد دیگر

Prof. Dr.-Ing. Jörg Blankenbach holds the Chair of Construction Informatics and Geoinformation Systems at RWTH Aachen University's Geodetic Institute. His research focuses on the integration of digital technologies in civil engineering and geospatial systems. Current affiliations include: Chair of Construction Informatics and Geoinformation Systems, RWTH Aachen University Geodetic Institute, RWTH Aachen University Research interests span digital construction management, geospatial data modeling, BIM-GIS integration, and smart infrastructure systems.

Hansjörg Kuttererمشاهده پروفایل

استاد

• Geodesy
• Geophysics
• Environmental Science
• +۳ مورد دیگر

Prof. Hansjörg Kutterer is a Professor and Dean at the KIT-Department of Civil Engineering, Geo and Environmental Sciences at Karlsruhe Institute of Technology (KIT). His primary affiliation is with KIT's Department of Civil Engineering, Geo and Environmental Sciences. He leads geodetic research initiatives focusing on Earth observation systems, atmospheric modeling, and geophysical data analysis. His research emphasizes advanced applications of GNSS, InSAR, and satellite gravimetry for monitoring climate-related phenomena such as water vapor dynamics, terrestrial water storage changes, and ground motion patterns. Key projects include developing machine learning-enhanced models for tropospheric delay corrections and integrated water vapor estimation in the Upper Rhine Graben region. Prof. Kutterer actively contributes to international geodetic frameworks like the Global Geodetic Observing System (GGOS), particularly through DA-CH regional collaborations. His work bridges geodetic methodologies with interdisciplinary challenges in climate science and environmental engineering. He oversees departmental operations as Dean, fostering innovation in geospatial education and infrastructure. His technical expertise spans geodetic deformation analysis, statistical robust estimation, and the integration of geophysical models with observational data.