جستجوی استاد راهنمای دانشگاهی

Bianca Herlo is a Senior Researcher at Berlin University of the Arts (UdK Berlin), leading the 'Inequality and Digital Sovereignty' research group at the Weizenbaum Institute for the Networked Society. She serves as deputy head of the Design Research Lab and held an interim professorship in design sciences at Braunschweig University of Art (HBK Braunschweig) since October 2022. Her work focuses on designing socially and ecologically sustainable tools to empower marginalized groups through participatory processes. She has extensive experience in civic design, digital democracy, and transdisciplinary research collaboration across institutions like DFKI and ECDF. Education: PhD on memory representation in documentaries, studies in communication and experimental media design at UdK Berlin. Previously managed cultural programs in Eastern Europe, co-founded *.artlabs for arts and tech, and serves on scientific committees including the Social Design Network and COST Association. Research interests include digital sovereignty frameworks, participatory design methodologies, and equitable tech integration in public spaces. Key projects include Citizens Connect Neighborhoods, the Hybrid Meeting Point infrastructure, and the INNOVADE initiative for inclusive civic tech. Publications span digital justice, participatory innovation, and transdisciplinary design practices. She co-hosts the podcast PURPLE CODE exploring intersectional feminist perspectives in digital societies.

• Digital Sovereignty
• Social Justice
• Design for Social Impact
• +۳ مورد دیگر

Herold Leibniz is an Adjunct Lecturer at Karlsruhe Institute of Technology (KIT) and a Senior Researcher in the land-use monitoring group at Leibniz Institute of Ecological Urban and Regional Development (IOER) since 2015. Previously, he served as Project Manager and Doctoral Researcher at IOER/Dresden University of Technology (2009-2014) and Research Assistant at IOER (2005-2008). Education includes: Doctoral degree (magna cum laude) from IOER/Dresden University of Technology (2009-2015) Common study program: TU Dresden/Ohio State University, USA (2002-2003) Student Employee Program: German Canadian Society, Toronto (2000-2001) M.Sc. in Geography/Geology/Meteorology, TU Dresden (1997-2005) University entrance diploma: Geography & Physics (1996) Research focuses on spatial data analysis with emphasis on urban sustainability, environmental monitoring, and AI-driven geospatial solutions. Primary interests include Geoinformatics, remote sensing, uncertainty quantification, and land-use dynamics. He has secured significant competitive funding, including: KLIPS (AI heat-island simulation, BMDV: 2020-2024) SAUBER (satellite air-pollution monitoring, BMVI: 2018-2021) ScaDS.AI (AI data analytics, BMBF: 2014-2021) OpenGeoEdu (geodata education, BMVI: 2017-2020) ESS-Indicators (ecosystem services, BMU: 2014-2016) 13 additional projects on urban development, energy policy, and remote sensing Awards include doctoral honors (magna cum laude).

• Geoinformatics
• Image Analysis
• Uncertainty Modelling
• +۱ مورد دیگر

Jan Kinne is an Advanced Researcher at the ZEW Research Unit 'Economics of Innovation and Industrial Dynamics,' where he has been a member since 2016. He holds a Dr. rer. nat. in Geoinformatics from the University of Salzburg (2020), following studies at Heidelberg University and Loughborough University, UK. Education: University of Salzburg (Dr. rer. nat. – Web-based Innovation Indicators for Microgeographic Economic Analysis, 2020) Heidelberg University (Geoinformatics) Loughborough University, UK (Geoinformatics) His research focuses on leveraging web-based and text-mined data for innovation analysis, particularly in microgeographic economic contexts. He pioneered web mining frameworks to assess firm innovation activity using semantic topic modeling and artificial neural networks, addressing limitations in traditional patent and survey-based indicators. Notable awards include the Best Paper Spatial Economic Analysis (2024), R&D Management Conference Best Paper Award (2022), and the TUM Science Prize 'Future of the World of Work' (2021). His work integrates spatial economics, data science, and innovation ecosystems, with applications in pandemic crisis analysis and firm network studies. Scientific Awards: Best Paper Spatial Economic Analysis 2024 Best Paper Award, R&D Management Conference 2022 Young Talent Award, University of Trento 2021 Science Prize 'Future of the World of Work,' TUM 2021 Volksbank Weinheim Stiftung Master Thesis Award 2017 Jan Kinne actively contributes to projects involving real-time economic policy guidance during crises (e.g., Corona pandemic), emphasizing real-time data integration and spatial analytics. His methodological innovations bridge economics, geoinformatics, and machine learning.

• Economics of Innovation
• Industrial Dynamics
• Web-based Innovation Indicators
• +۷ مورد دیگر

Gerald Schernewski is a Full Professor at Klaipėda University in Lithuania and serves as the Head of the Research Unit 'Coastal Sea and Society' at the Leibniz-Institute for Baltic Sea Research in Rostock, Germany. He also holds the position of Lead Scientist at the Marine Research Institute in Lithuania. His expertise spans applied coastal and marine research, with a focus on interdisciplinary approaches to environmental management. His research interests include Integrated Coastal Zone Management (ICZM), where he develops frameworks like the Systems Approach Framework (SAF) to enhance stakeholder participation and measure management success through indicators. He investigates Ecosystem Services to assess changes in coastal systems, Eco-technologies for improving water quality (e.g., mussel cultivation), Marine Litter monitoring strategies, and Bathing Water Quality analysis targeting pollutants and pathogens. Schernewski's recent publications (2024-2025) emphasize marine litter dynamics, ecosystem service valuations, and climate change impacts in Baltic and Mediterranean coastal systems. His work employs advanced methodologies such as remote sensing, 3D ecosystem modeling, and spatial pollution assessments. Key trends include the integration of ecological data with policy frameworks like the Marine Strategy Framework Directive (MSFD) and Water Framework Directive (WFD). He leads the Research Unit 'Coastal Sea and Society,' which drives projects on marine spatial planning, pollution mitigation, and socio-ecological assessments. The unit collaborates internationally to support evidence-based coastal governance and climate adaptation strategies.

• Integrated Coastal Zone Management
• Ecosystem Services
• Eco-technologies
• +۴ مورد دیگر

Miriam von Thenen ( Researcher at Leibniz Institute for Baltic Sea Research Warnemünde , Research Focus 4: Coastal Sea Geography & Shallow Water Processes) specializes in Marine Spatial Planning and Ecosystem Services using GIS tools like SPACEA. Her work bridges coastal science and policy development across the Baltic and Mediterranean Seas . PhD in Coastal Management (Aalborg University, 2020) MSc in Marine Biology (University of Southern Denmark, 2016) BASc in Coastal and Marine Management (van Hall Larenstein UAS, 2014) Her research focuses on: Marine Litter Monitoring in North Africa (TouMaLi project) Climate Change Adaptation through Blue-Grey Infrastructure (TRANSEATION) AI-Driven Eelgrass Modeling (SEAGUARD) Digital Twins for Ocean Management (SEADITO) Socio-Ecological Modeling of maritime conflicts Recent publications emphasize cross-regional marine pollution assessments , 3D ecosystem modeling for navigation projects, and mussel farming as nutrient compensation . She contributes to Horizon Europe and BMUV-funded projects , with expertise in stakeholder engagement and policy-relevant GIS tool development .

• Marine Spatial Planning
• Ecosystem Services
• GIS Analysis
• +۴ مورد دیگر

Frauke Wiese is an Assistant Professor leading the interdisciplinary junior research group "Energy Sufficiency" at the Europa-Universität Flensburg. She holds a PhD in Energy and Environmental Management from the same institution and conducted postdoctoral research at the Technical University of Denmark (DTU). Her work focuses on energy transition modeling, open-source frameworks, and sufficiency policies. She co-founded the Open Energy Modelling Initiative and developed the renpass energy system model. Education: Master’s in Energy and Environmental Management (University of Flensburg), PhD in Energy Systems (Europa-Universität Flensburg). Postdoc at DTU’s Energy System Analysis Group. Research Interests: Sustainable energy systems, sufficiency strategies, open-source modeling, climate policy design, and interdisciplinary energy transition pathways. Publications highlight her contributions to energy system modeling efficiency, sufficiency in transport and heating sectors, and policy analysis comparing citizen assemblies with national climate plans. Awards: Reiner Lemoine Foundation PhD scholarship. Advising: Supervised over 15 master’s and bachelor’s theses on topics like energy sufficiency indicators, decarbonization pathways, and marine fuel alternatives. Collaborates with the Wuppertal Institute through her research group. Labs/Teams: Leads the Energy Sufficiency group, co-developed the Balmorel open-source model, and contributed to the renpass framework. Active in the Open Energy Modelling community.

• Energy Systems
• Renewable Energy
• Climate Policy
• +۳ مورد دیگر

David Schlipf is a Research Professor at the Wind Energy Technology Institute (WETI) within the Department of Energy and Biotechnology at Flensburg University of Applied Sciences, a position held since 2018. He also teaches wind energy fundamentals, control engineering, aerodynamics, and advanced mathematics at both Flensburg University of Applied Sciences and the University of Stuttgart. He founded sowento , a renewable energy startup, and holds leadership roles including Operating Agent of IEA Wind Task 32 (since 2016), Treasurer of the European Academy of Wind Energy (since 2017), and Editor at Wind Energy Journal (since 2020). His doctoral research at the University of Stuttgart focused on 'Lidar-Assisted Control Concepts for Wind Turbines'. Subsequent research at the University of Colorado Boulder and NREL specialized in floating wind turbine control. Research Focus: Schlipf's work spans wind turbine/wind farm control, lidar system optimization, and measurement data processing. Key areas include: Advanced control strategies (feedforward, model predictive) Lidar-assisted turbulence measurement and load mitigation Floating offshore wind dynamics International standardization (IEA Wind Task 32) Publications: His 15 most recent articles emphasize lidar integration for turbine/farm optimization. Predominant themes include feedforward control architectures, model predictive strategies for load reduction, floating turbine stabilization, and lidar data processing techniques. Field validations (e.g., CART3 platform, INNWIND.EU 10MW turbine) and international collaboration frameworks are recurrent elements. Leadership & Entrepreneurship: As Operating Agent of IEA Wind Task 32, he coordinates global R&D in lidar-assisted control. He co-founded sowento to translate academic research into renewable energy solutions.

• Wind Turbine Control
• Wind Farm Control
• Lidar Systems Optimization
• +۳ مورد دیگر

Dr. Ulf Philipp Müller is a researcher at the Department of Energy and Biotechnology at Flensburg University of Applied Sciences, Germany. He focuses on sustainable energy systems, renewable energy integration, and techno-economic power grid planning. Müller has led key projects including open_eGo (2015-2018) and its successor eGo^n (since 2019), aiming to integrate sector coupling effects into grid planning tools. PhD in Energy Systems (2021), Flensburg University of Applied Sciences Research areas: power grid modeling, storage optimization, voltage conversion, and renewable integration Developed modeling tools for cross-grid planning and open-source energy platforms His recent publications analyze voltage stability, grid transparency, and storage optimization across multi-voltage levels. Müller’s work combines computational modeling with policy support for Germany's energy transition, particularly in decentralized smart grids and renewable system integration.

• Renewable Energy Integration
• Power Grid Modeling
• Sustainable Energy Systems
• +۴ مورد دیگر

Anne Hennke is a geoscientist at GEOMAR - Helmholtz Centre for Ocean Research Kiel, working within the Ocean Research Technology Centre. As a member of the GEOMAR Data Science Unit, she specializes in bathymetric and hydroacoustic data analysis, with a focus on making complex marine science accessible through interactive storymaps and data visualization tools. Her work bridges technical data analysis with marine research questions, contributing to GEOMAR's research program 'Changing Earth - Sustaining our Future.' Her research expertise includes: Automated morphological analysis of MBES (Multibeam Echo Sounder) data Spatial data interpretation and marine habitat mapping Application of GIS software and machine learning methods to marine datasets Development of interactive science communication tools like storymaps Analysis of deep-sea environments and anthropogenic impacts Hennke's publication record demonstrates her commitment to both technical marine science and science communication. Her recent work spans from practical tools like the QGIS Guide for Marine Scientists (2024) to interactive storymaps exploring diverse marine environments including seagrass ecosystems in the Baltic Sea, submarine volcanism at Kolumbo Volcano, and the long-term biogeochemical monitoring at Boknis Eck Time-Series Station. She has made significant contributions to deep-sea research, particularly through her work analyzing the long-term impacts of seabed disturbance in the DISCOL experiment. As part of her ongoing research, Hennke is collaborating on the development of "Validity" software for automatic feature recognition in hydrographic datasets, demonstrating her commitment to advancing analytical methods in marine science. This project, currently in development with a 2025 release version, aims to improve the processing and interpretation of complex marine data.

• Marine Geosciences
• Bathymetric Data Analysis
• Hydroacoustic Data Processing
• +۵ مورد دیگر

Ling Cai is an Assistant Professor in the Geography Department at the University of California Santa Barbara, specializing in Geographic Information Science with a focus on knowledge graphs and spatial reasoning. Their research spans multiple domains including GIScience, medical informatics, computer vision, and transportation systems, demonstrating strong interdisciplinary capabilities. Ling Cai's research interests center around Geospatial Artificial Intelligence , with particular expertise in knowledge graph construction , spatial reasoning , and geospatial representation learning . Their work bridges theoretical advances in machine learning with practical applications in geographic information systems. Recent research has focused on the KnowWhereGraph initiative, developing ontologies and knowledge graphs that enable interdisciplinary knowledge discovery through geospatial enrichment. The publication record shows significant contributions to spatial knowledge representation , including hyperbolic embedding models for qualitative spatial and temporal reasoning, general-purpose representation learning of polygonal geometries, and advancements in geographic question answering. Their work demonstrates how machine learning can enhance spatial reasoning capabilities in knowledge graphs. Developed the HyperQuaternionE model for qualitative spatial and temporal reasoning Contributed to the KnowWhereGraph ontology for interdisciplinary knowledge discovery Advanced techniques for geographic question answering systems Explored applications of knowledge graphs in emergency management Ling Cai's collaborative work extends across multiple domains, with recent publications in medical informatics examining electronic health record accuracy and in transportation systems researching EV charging scheduling. This breadth demonstrates the versatility of geospatial AI approaches across diverse application areas.

• Geographic Information Science
• Knowledge Graphs
• Spatial Reasoning
• +۵ مورد دیگر

Mohamed F. Mokbel is a Professor at the University of Minnesota with a distinguished career in spatial databases and big spatial data management. His research spans over two decades with more than 260 publications in top-tier venues including ICDE, SIGMOD, VLDB, and GIS conferences. He has established himself as a leading researcher in trajectory data management, mobility data science, and scalable spatial processing systems. Dr. Mokbel's research interests focus on the intersection of spatial databases, big data, and machine learning. He has pioneered work in trajectory data management systems, developing frameworks like ST-Hadoop for processing spatio-temporal data at scale. His recent research explores the application of large language models to trajectory analysis, spatial data cleaning systems with spatial awareness, and innovative approaches to mobility data science. His work addresses fundamental challenges in handling massive spatial datasets while maintaining efficiency and accuracy. His publication record reveals significant trends toward integrating machine learning with spatial data management, particularly in trajectory imputation using BERT models (KAMEL system) and applying NLP techniques to trajectory analysis. Recent work shows increasing focus on urban mobility applications, privacy considerations in location data, and the development of specialized frameworks for processing different types of spatial data at scale. Dr. Mokbel has mentored numerous students who have become productive researchers in their own right, with many publications featuring students as first authors. His collaborative network is extensive, with frequent co-authorship with researchers like Walid G. Aref, Ahmed Eldawy, and Amr Magdy, indicating strong research group leadership. He has contributed significantly to the spatial database community through systems like RASED for monitoring OpenStreetMap updates, KAMEL for trajectory imputation, and Sparcle for spatial data cleaning. His work bridges theoretical database concepts with practical applications in transportation, urban planning, and location-based services.

• Spatial Databases
• Big Spatial Data
• Location-Based Services
• +۶ مورد دیگر

Sven Kunze is a postdoctoral researcher specializing in the economic impacts of climatic disasters, with affiliations to Heidelberg University where he completed his PhD. His research integrates climate, development, and environmental economics with political economy, using geospatial, climatic, and socio-economic data. Research Interests: Climate and Environmental Economics Development Economics and Disaster Response Political Economy of Relief Allocation Geospatial and Input-Output Analysis of Natural Disasters Long-term Socioeconomic Impacts of Tropical Cyclones and Storm Surges His recent publications analyze political bias in disaster relief, global sectoral impacts of tropical cyclones, and distortions in UN aid allocation after the Nepal earthquake. His work combines empirical rigor with policy relevance, focusing on how disasters affect economic growth, aid distribution, and human settlement patterns. Scientific Contributions: Developed a novel sector-specific damage measure for tropical cyclones based on meteorological data. Generated a global hydrodynamic dataset on storm surge flooding (1851–2020). Created and shared a wind speed intensity dataset at country-year level (1950–2015). Advising and Teaching: Sven has taught Macroeconomics, Development Economics, and Empirical Research Methods at the bachelor’s and master’s levels. While no formal students are listed, his academic mentorship is evident through collaborative research and seminar instruction. Labs and Research Teams: He is currently involved in an ERA-NET project on climate change impacts on agricultural land use in Eurasia. His past collaborations include researchers from institutions such as ETH Zurich and KOF Swiss Economic Institute, indicating active participation in interdisciplinary research networks.

• Climate Economics
• Environmental Economics
• Development Economics
• +۱۰ مورد دیگر

José Pérez Agúndez is a Researcher at Ifremer (French Research Institute for Exploitation of the Sea) since 2001, currently serving as Head of the Maritime Economics Unit and Deputy Director of the AMURE Joint Research Unit (UMR 6308). His work focuses on sustainable aquaculture economics and socio-economic impacts of harmful algal blooms using bio-economic and macro-economic modeling approaches. Education: DEA in Maritime Economy and Policy, ENSAR (Rennes), 1995-1996 PhD in Agricultural and Resource Economics, ENSAR (Rennes), 1997-2000 His research spans environmental economics with specialization in maritime resource management. Key methodologies include techno-economic modeling of aquaculture systems, institutional dynamics analysis, and social dimension integration in marine governance. Current projects address EU legislative frameworks for socially acceptable aquaculture and adaptation strategies for shellfish farming sectors facing ecological crises. Publication trends (2011-2021) emphasize socio-economic vulnerability modeling, particularly regarding toxic algal blooms and oyster mortality events. His work consistently bridges economic theory with practical marine policy challenges across European coastal regions, with strong focus on France, Spain, and Italy. Research Projects: EOLENMER: Preserving ORMER populations in western France fisheries MedAID: Mediterranean Aquaculture Integrated Development MSP GREEN: Marine Spatial Planning for Green Growth S-3: Supporting Sustainable Shellfish initiatives EUROHAB: European network on harmful algal blooms As unit head, he leads interdisciplinary teams developing economic vulnerability frameworks and policy recommendations for sustainable marine resource management, with emphasis on stakeholder engagement and cross-border collaboration in Atlantic and Mediterranean regions.

• Environmental Economics
• Natural Resource Economics
• Maritime Economics
• +۷ مورد دیگر

Dr. Imke Rhoden serves as a Habilitantin at Ruhr-Universität Bochum's Faculty of Economics and Business within the Department of Environmental and Resource Economics. Her research focuses on spatial economics, energy transition dynamics, and empirical environmental analysis, with significant contributions to Germany's net-zero policy framework through interdisciplinary collaborations. Her research portfolio demonstrates deep engagement with climate policy implementation , particularly through the NETTO-NULL-2050 initiative analyzing practical pathways to German carbon neutrality. Her work integrates spatiotemporal economic modeling with stakeholder preference analysis , revealing regional disparities in transition capacity and developing context-sensitive policy recommendations. Recent publications explore carbon dioxide removal options, tourism sector environmental externalities during the pandemic, and automotive industry sustainability narratives. Dr. Rhoden's publication trend shows increasing interdisciplinary collaboration across German research institutions, with 2023-2025 works featuring co-authors from multiple Helmholtz Association centers and policy institutes. Her methodological approach combines multivariate functional data cluster analysis for innovation patterns multi-criteria decision frameworks for stakeholder assessment narrative integration techniques for complex climate research Scientific contributions include: Comprehensive assessment of German carbon dioxide removal options Analysis of coal phase-out impacts on Sustainable Development Goals Resource-use intensity studies linking environmental and labor markets Spatiotemporal innovation dynamics mapping across Europe Her advising and grant activities focus on major German climate initiatives including the Helmholtz Climate Initiative, with research addressing critical gaps between theoretical climate targets and practical implementation frameworks. Current work examines stranded asset risks in energy transition and spatial heterogeneity challenges in achieving net-zero targets.

• Environmental Economics
• Resource Economics
• Energy Transition Policy
• +۴ مورد دیگر

Daniela Koller is a public health researcher affiliated with the Institute for Medical Information Processing, Biometry and Epidemiology (IBE) at Ludwig-Maximilians-Universität München (LMU Munich) . She previously held positions at LMU's Department of Health Services Management and the ZeS at the University of Bremen, and completed a Harkness Fellowship at the Dartmouth Institute for Health Policy and Clinical Practice. Habilitation in Public Health and Health Services Research (2021, LMU Munich) Doctor of Public Health (2012, University of Bremen) Diploma in Geography (2007, LMU Munich) Her research focuses on health services research , regional healthcare disparities , geriatric care , and spatial analysis of health determinants . She has extensively studied utilization patterns of healthcare services in dementia patients, heat stress effects on healthcare workers, and environmental factors influencing health outcomes. Recent work includes frameworks for measuring neighborhood walkability for older adults, analyses of palliative care accessibility, and studies on vitamin D level changes during the pandemic. Her publications span journals like BMJ Open , Frontiers in Pharmacology , and BMC Health Services Research . Scientific Awards : Harkness Fellowship for Health Care Policy and Practice (Commonwealth Fund/Robert Bosch Foundation) She contributes to health policy through data-driven approaches to resource allocation and equity assessments, with a strong emphasis on secondary data analysis and geographic health determinants.

• Health Services Research
• Health Geography
• Public Health
• +۳ مورد دیگر