جستجوی استاد راهنمای دانشگاهی

Marco Lübbeckeمشاهده پروفایل

استاد

• Operations Research
• Mixed Integer Programming
• Branch-and-Price Algorithms
• +۳ مورد دیگر

Marco Lübbecke is a Professor at the Faculty of Business and Economics of RWTH Aachen University , Germany. He serves as the chairholder of the Lehrstuhl für Operations Research and holds the position of Studiendekan (Dean of Studies) for his faculty. His professional contact is marco.luebbecke@rwth-aachen.de, with additional administrative contact at luebbecke@or.rwth-aachen.de. Current academic rank: Professor Faculty: Business and Economics Department: Operations Research Marco Lübbecke's research focuses on Operations Research and Mixed Integer Programming . He develops and analyzes algorithms like Branch-and-Price , Dantzig-Wolfe Reformulation , and Decomposition Methods to solve complex optimization problems in industrial, transportation, and political science applications. Core research areas: Combinatorial Optimization, Mathematical Programming Application domains: Logistics, Rail Transport, Redistricting, Manufacturing Systems Methodological interests: Column Generation, Cutting Planes, Algorithm Engineering His recent publications highlight advancements in optimization software frameworks like the SCIP Optimization Suite and algorithmic techniques for solving large-scale linear and integer programs. Key research trends include automated decomposition methods, structural analysis of MIPs, and hybrid approaches combining classical optimization techniques with machine learning insights. Marco Lübbecke actively participates in academic conferences and serves as a co-author in numerous technical reports and journal publications, contributing to the development of efficient optimization algorithms and their practical implementation.

Dirk Balfanzمشاهده پروفایل

پژوهشگر

• Human-Robot Interaction
• Explainable AI
• Cognitive Science
• +۳ مورد دیگر

Dr. Dirk Balfanz serves as Scientific Managing Director at the Centre for Cognitive Science, Technical University of Darmstadt since 2016. With a background in computer science and electrical engineering, he bridges cognitive science with interactive AI systems , focusing on human-robot interaction , explainable AI , and geospatial metadata . His leadership spans strategic development of cognitive science programs and third-party funding acquisition across multiple projects. Doctorate in Computer Science (2002), TU Darmstadt Diplom in Electrical Engineering (1992), University of Dortmund His research explores the intersection of cognitive science and AI , particularly in situational autonomy , multimodal interaction , and human uncertainty detection . Current projects like WhiteBox and IKIDA investigate how probabilistic models and cognitive explanations can enhance AI transparency. Earlier work on geospatial metadata laid foundations for ISO standardization. His recent publications in human-AI collaboration (15 articles) demonstrate expertise in interactive reinforcement learning , probabilistic movement primitives , and explanation generation for complex systems. Notable contributions include Bayesian fusion of human feedback and explainable linear programming in energy systems.

• Media Studies
• Communication Science
• Geomedia Studies
• +۱۰ مورد دیگر

Helena Atteneder is a Lecturer at the Institute of Media Studies within the Faculty of Philosophy at the University of Tübingen, where she serves at the Chair of Digitalization and Social Responsibility. Her academic work bridges media studies, communication science, and critical geography with a specific focus on geomedia studies. She maintains an active research profile with numerous publications in leading journals and serves in significant academic leadership roles. Dr. Atteneder's research centers on theories of space/place, media, and power, with particular emphasis on critical-dialectical perspectives on geomedia and media technologies. Her work examines algorithmization and datafication phenomena, especially regarding ubiquitous geodata collection, exploring both autonomy-promoting and surveillance-enhancing tendencies. She also investigates data protection, privacy (particularly 'geoprivacy'), inequality, and stereotype research from media and communication science perspectives. Her research demonstrates a consistent critical approach to understanding the power dynamics embedded in digital spatial technologies. Her recent publications reveal a strong focus on geomediatisation, spatial power relations, and critical approaches to geospatial technologies. The articles demonstrate interdisciplinary connections between media studies, geography, philosophy, and critical theory, with particular attention to how digital mapping technologies shape our understanding and appropriation of space. Her work consistently addresses issues of power asymmetry, surveillance capitalism, and spatial citizenship within increasingly datafied environments. GAM-Nachwuchspreis for Master's thesis Dr. Atteneder leads the research project 'News Deserts and Beyond' (2025-2027) examining local news landscapes in Baden-Württemberg, and co-leads a teaching-research project on cartographic representations (2025-2026). She also leads a third-party funded project on media and mobility practices funded by the Baden-Württemberg Stiftung. She supervises final theses across multiple domains including communication theories, media culture, media politics, and research methods. She serves as founding member and spokesperson of the GfM Media Geographies Working Group and spokesperson of the DGPuK working group 'Media, Public Sphere, and Gender.' Additionally, she is co-editor of the GI_Forum Journal and serves on the editorial board of the Media Journal.

Philipp Blumمشاهده پروفایل

استاد

• Geothermal Energy
• Aquifer Thermal Storage
• Urban Groundwater
• +۳ مورد دیگر

Philipp Blum is a Professor and Deputy Spokesperson for Georesources at Karlsruhe Institute of Technology's Institute of Applied Geosciences. His research advances sustainable subsurface energy solutions, focusing on aquifer thermal energy storage (ATES), urban geothermal systems, and climate impacts on groundwater. Work integrates experimental and modeling approaches to optimize geothermal installations, analyze thermal properties of grouting materials, and manage urban aquifers. Recent studies examine grain-scale heat transport, global well integrity standards, and ecological impacts of groundwater temperature changes. Projects span Berlin's urban aquifers, Lower Saxony's hospital energy systems, and global groundwater warming projections. Research addresses technical and regulatory dimensions of renewable energy transition through subsurface storage solutions.

Frank Schultmannمشاهده پروفایل

استاد

• Circular Economy
• Supply Chain Optimization
• Environmental Engineering
• +۴ مورد دیگر

Prof. Frank Schultmann is a Professor at the Karlsruhe Institute of Technology (KIT), holding a position at the Institute for Industrial Production - Chair of Business Administration, Production and Operations Management. He serves as Deputy Spokesperson for the KIT Climate and Environment Center, focusing on Circular Economy and Environmental Technologies. His research integrates operations research, environmental engineering, and AI-driven solutions to address challenges in sustainable supply chains, disaster logistics, and resource management. Key research areas include: circular economy strategies, stochastic network optimization, AI applications in production systems, and life cycle assessment of industrial processes. He has extensively published on topics such as battery recycling economics, federated learning for urban thermal analysis, and crisis collaboration frameworks for essential goods. Educational background: While specific degree details are not explicitly provided, his academic role implies a doctoral qualification in industrial engineering or related field. Professional affiliations include the KIT Climate and Environment Center and the Institute for Industrial Production. Grant and advisory activities are not explicitly listed in the provided text, though his publications suggest ongoing projects in EU-funded initiatives related to circular economy and disaster resilience. His work often collaborates with industry partners to bridge academic research with practical industrial applications.

Christian Albrechtمشاهده پروفایل

دانشیار

• Invertebrate diversification
• Species invasions in freshwater ecosystems
• Freshwater mollusk biogeography
• +۳ مورد دیگر

Christian Albrecht is an Associate Professor at Justus Liebig University Giessen, leading the Aquatic Biodiversity & Biogeography Group within the Systematics & Biodiversity Lab. His academic journey includes a Diploma in Biology from Friedrich Schiller University Jena (2001), a PhD from Goethe University Frankfurt (2005), and postdoctoral research at Giessen. He has held positions including Senior Research Scientist (2010), Assistant Professor (2012), and Associate Professor (2021). His research focuses on invertebrate diversification patterns, freshwater mollusk biogeography, and neglected tropical diseases. He has conducted fieldwork in Africa, Europe, and Asia, with particular emphasis on ancient lakes and tropical ecosystems. Albrecht is also a Visiting Professor at Mbarara University of Science and Technology (Uganda), contributing to capacity-building in freshwater research. Publications span invasion biology, schistosomiasis modeling, and mollusk systematics. He has received awards such as the Young Scientists Award (2007) and held leadership roles in organizations like SIAL (Speciation in Ancient Lakes). His teaching includes global change biology and African field schools, emphasizing practical fieldwork and biodiversity informatics. Albrecht collaborates internationally, leading projects like the DAAD-funded CEMarin initiative and EU’s PRIDE program. He advises six PhD students and mentors researchers across African institutions, contributing to freshwater conservation and disease control efforts globally.

Yanina V. Sicaمشاهده پروفایل

پژوهشگر ارشد

• Biodiversity conservation
• Landscape ecology
• Species distributions
• +۳ مورد دیگر

Yanina V. Sica is a Research Fellow at the Department of Animal Ecology & Systematics, Justus Liebig University Giessen, Germany, affiliated with the Systematics & Biodiversity Lab. Her research focuses on biodiversity conservation, landscape ecology, and science-policy interfaces. She coordinates the B-cubed project under Dr. Hanno Seebens and serves as Scientific Coordinator for the IPBES Data and Knowledge Unit at Senckenberg Institute. Education: PhD (2011-2016): Universidad de Buenos Aires/INTA, Argentina (Thesis: Land Cover Change & Wetland Birds) PostDoc (2016-2018): Universidad Nacional de San Martín, Argentina (Land Use Change in Wetlands) Research Associate (2019-2022): Yale University, USA (Map of Life Project) Her work integrates ecological modeling, open science practices, and FAIR data standards to address global biodiversity challenges. Key themes include species distribution modeling, land-use change impacts, and translating scientific insights into policy tools via biodiversity indicators. Publications emphasize innovative data frameworks (e.g., ecoregional range maps, taxonomic integration) and applied conservation solutions in wetlands, forests, and marine ecosystems. She contributes to international initiatives like the Global Register of Introduced Species and develops tools for biodiversity monitoring (e.g., the Humboldt Extension). Collaborations span institutions including Senckenberg, Yale's Map of Life, and the EU's SCOPSCO deep-drilling project. Current efforts focus on ecological informatics, trait-based biodiversity analysis, and leveraging camera trap data for global biodiversity assessment.

• Computer Vision
• Pattern Recognition
• Remote Sensing
• +۳ مورد دیگر

Qingshan Liu is a faculty member at the Nanjing University of Information Science & Technology, School of Information and Control. His research focuses on computer vision, pattern recognition, remote sensing, and artificial intelligence, with specialized applications in satellite imagery analysis, LiDAR processing, and spatiotemporal modeling. Dr. Liu has contributed significantly to neural network architectures for video analysis, 3D segmentation, and domain adaptation techniques. His recent work demonstrates strong engagement with deep learning approaches for environmental monitoring and geospatial analysis, including precipitation nowcasting systems, change detection in remote sensing data, and crowd counting methodologies. Publications show consistent innovation in transformer networks, generative adversarial models, and multimodal learning frameworks applied to real-world problems in urban computing and autonomous systems.

• Spatial Statistics
• Spatiotemporal Statistics
• Environmetrics
• +۴ مورد دیگر

Philipp Otto is a Professor of Statistics and Data Science at the University of Glasgow. Previously, he served as an Assistant Professor at Leibniz University Hannover (2018-2023) and held a visiting professorship at the University of Göttingen (2020-2021). He earned his PhD in Statistics (summa cum laude) from the European University Viadrina in 2016. His research focuses on spatial/spatiotemporal statistics, environmetrics, machine learning, and big geospatial data. He is affiliated with research groups in Statistics & Data Analytics, Modelling in Space & Time, and Environmental Sciences. Education: B.Sc. in International Economics (with study visits to Saint Petersburg State University) Direct PhD in Statistics (fast-track program without M.Sc., European University Viadrina) Research Interests: Develops statistical models for geo-referenced/network data, spatiotemporal volatility models (ARCH/GARCH), and AI-driven tools for data quality. Recent work includes hurricane forecasting, air quality impact assessments, and mesoplastic distribution analysis. Key Contributions: Developed the R package 'spGARCH' for spatial/spatiotemporal volatility modelling Edited a Springer volume on advanced statistical methods (2024) Recipient of Lindau Nobel Laureate Fellowship (2017) Grants & Collaboration: Over €1M in grants, including projects on historical map time series, agricultural air quality impact, and BIM survival analysis. Industry partnerships include projects with financial institutions. Labs & Teams: Coordinates spatiotemporal modelling research group at Glasgow, collaborates with environmental agencies and statistical societies.

• Artificial Intelligence
• Explainable AI
• Human-Computer Interaction
• +۵ مورد دیگر

Yunfeng Zhang is a Professor at Shandong University of Finance and Economics specializing in Artificial Intelligence with significant contributions to Explainable AI, Human-Computer Interaction, and Machine Learning. His research spans computer vision, fairness in AI, and robotics applications across diverse domains including transportation, agriculture, and cybersecurity. Zhang has established strong international collaborations with IBM Research (notably with Kush Varshney and Q. Vera Liao) and publishes extensively in top venues like CHI, KDD, and IEEE Transactions. His research interests focus on making AI systems transparent and trustworthy through the AI Explainability 360 toolkit development since 2020, human-AI collaboration frameworks, and fairness optimization in machine learning. Recent work shows a strategic pivot toward applied AI problems including urban rail transit optimization, agricultural robotics for citrus detection, and VR-enhanced education systems in China. Zhang's publications demonstrate exceptional breadth across both theoretical foundations and real-world implementations of AI technologies. Zhang's recent publications (2023-2025) reveal strong trends in multimodal AI applications, with significant work in computer vision for remote sensing and industrial automation, reinforcement learning for transportation systems, and educational technology innovations. His work consistently bridges technical AI development with human-centered design principles, particularly evident in his CHI publications on human-AI collaboration interfaces. Co-developer of the influential AI Explainability 360 open-source toolkit (JMLR 2020) Key contributor to Uncertainty Quantification 360 framework Active participant in ACM FAccT conferences on AI fairness Principal investigator on multiple Chinese national research grants for AI applications Zhang leads research teams developing practical AI solutions for Chinese industry challenges, particularly in transportation optimization and agricultural technology. His lab maintains strong industry partnerships with Chinese railway authorities and agricultural technology firms, focusing on implementing AI systems that address specific local infrastructure and productivity challenges while maintaining rigorous academic standards.

Michael Sommerمشاهده پروفایل

استاد

• Soil Science
• Environmental Science
• Agricultural Science
• +۶ مورد دیگر

Univ.-Prof. Dr. Michael Sommer is a Professor of Pedology at the Leibniz Centre for Agricultural Landscape Research (ZALF), leading the 'Landscape Pedology' working group within Research Area 1 'Landscape Functioning'. His research focuses on soil landscape dynamics, biogeochemical cycling (particularly silicon and carbon), and the impacts of agricultural practices on soil health. Key interests include tillage erosion, soil organic carbon sequestration, and the interplay between soil microbiology and crop productivity. He has spearheaded projects on robotic sensor systems for precise environmental monitoring (e.g., AGROFLUX) and pioneered studies on silica fertilization's role in crop resilience. His work integrates proximal sensing, remote sensing, and long-term field experiments to address sustainability challenges in agricultural systems. Collaborations span soil-plant interactions, climate change mitigation, and precision agriculture technologies. Publications highlight advancements in soil organic carbon dynamics, nitrogen cycle guilds in rhizosphere microbiomes, and methodological innovations for radiosonde data accuracy. His research bridges fundamental soil science with applied solutions for sustainable land management, emphasizing the ecological and climatic significance of soil processes. Laboratory and field experiments conducted under Sommer's leadership investigate soil erosion recovery, subsoil carbon storage, and the legacy effects of historical agricultural practices. He actively contributes to global networks like GRUAN for climate observation standards and advocates for interdisciplinary approaches to environmental science.

Mirco Haselerمشاهده پروفایل

پژوهشگر

• Marine Litter Monitoring
• Environmental Policy Implementation
• Coastal Zone Management
• +۳ مورد دیگر

Mirco Haseler is a researcher at the Leibniz Institute for Baltic Sea Research (IOW) in Rostock, Germany, specializing in marine litter monitoring and coastal management. His work focuses on developing and implementing standardized methods for assessing marine debris pollution, particularly in the context of the EU Marine Strategy Framework Directive (MSFD). He leads and collaborates on international projects such as Circular Ocean-bound Plastic (COP) and BalticLitter, addressing litter management in coastal regions across Europe, North Africa, and the Mediterranean. Education: PhD in Ecology and Environmental Sciences (Klaipeda University, 2021), M.Sc. in Water Management (Ostfalia University of Applied Sciences, 2015), B.Eng. in Landscape Development (University of Applied Sciences, 2011). Research Interests: Marine litter distribution patterns, policy implementation for coastal sustainability, and innovative monitoring techniques using drones and advanced sampling methods. His expertise includes collaboration with NGOs, governmental agencies, and international bodies like the EU Technical Group on Marine Litter. Projects: Active in over 10 countries, including Germany, Sweden, Morocco, and Egypt. Key initiatives include TouMaLi (North African waste management), BONUS MICROPOLL (microplastics in the Baltic), and OPTIMUS (eutrophication prevention via mussel farming). Publications: Over 20 peer-reviewed articles since 2016, focusing on beach litter assessment, microplastic contamination, and policy guidance. His 2025 work on Mediterranean beach pollution and 2023 EU monitoring guidelines highlight his impact in shaping global environmental practices. Scientific Engagement: Member of the German National Working Group on Marine Litter and the EU MSFD Technical Group. His research bridges scientific rigor with practical solutions for coastal communities and policymakers.

Ralph Ewerthمشاهده پروفایل

استاد

• Multimedia Retrieval
• Machine Learning
• Visual Analytics
• +۵ مورد دیگر

Prof. Ralph Ewerth is a Professor leading the Visual Analytics research group at the Technische Informationsbibliothek (TIB) since 2015. His work bridges computer science, information science, and education, focusing on multimedia retrieval, machine learning, and visual analytics. He has pioneered research in areas like content-based video retrieval, image-text relation analysis, and educational technology platforms. Key research interests include: Development of AI-driven tools for educational analytics (e.g., learning platforms for chemistry education) Advancements in multimedia retrieval systems (e.g., TIB AV-Analytics platform) Analysis of sports data through spatiotemporal event detection Design of open research knowledge graphs and journal recommendation systems (B!SON project) Recent publications (2022-2024) emphasize multimodal misinformation detection, search behavior analysis, and fusion of vision-language models. He has edited conference proceedings and contributed to over 150 peer-reviewed works across domains like digital libraries, computer vision, and educational technology. His research infrastructure includes the TIB AV-Analytics platform for scholarly video analysis and the B!SON open access journal recommendation tool. Collaborative projects focus on integrating semantic web technologies with educational and sports data analysis.

Juliana Socrateمشاهده پروفایل

پژوهشگر

• Coastal Geography
• Marine Spatial Planning
• Ecosystem Services Analysis
• +۳ مورد دیگر

Juliana Socrate is a Scientist at the Leibniz Institute for Baltic Sea Research Warnemünde (IOW) and a Research Consultant at the Observatorio en Gestión Costera y Planificación Espacial Marina (GEPEM) of the National University of Mar del Plata (UNMDP), Argentina. She holds a Master in Geography of Coastal Spaces (2023), a Licentiate Degree in Geography (2021), and a Degree in Geography Education (2020) from UNMDP. Education Master in Geography of Coastal Spaces (2023), UNMDP Licentiate Degree in Geography (2021), UNMDP Degree in Geography Education (2020), UNMDP Her research focuses on Marine Spatial Planning , Ecosystem Services Analysis , and GIS Applications in coastal and marine environments. She has contributed to projects comparing socio-environmental interactions in Argentina and Uruguay, with a focus on land-sea dynamics and integrated management strategies. Her peer-reviewed publications address topics like flood risk mapping in Mar del Plata, public perception of hydrocarbon activities, and socioecological systems in Argentina. She emphasizes participatory governance and sustainable resource management in coastal zones. Juliana collaborates with institutions such as IOW (Germany) and UNMDP (Argentina), utilizing ArcGIS and QGIS for spatial analysis. Her work intersects environmental science and policy development for coastal regions.

Martin Kittelمشاهده پروفایل

پژوهشگر

• Energy Economics
• Climate Policy
• Renewable Energy Integration
• +۴ مورد دیگر

Martin Kittel is a Researcher and postdoctoral fellow at DIW Berlin’s Energy, Transportation, and Environment Department. His research focuses on energy system decarbonization, emphasizing flexibility in electricity systems, sector coupling, hydrogen applications, and addressing challenges of integrating variable renewable energy (e.g., Dunkelflauten phenomena). He is nearing completion of his PhD at Technical University Berlin and holds degrees from Dresden and Teesside University (UK). Prior to DIW, he worked on energy transition policy at Germanwatch and TU Berlin’s economic infrastructure group. His research interests include energy economics, climate policy design, and high-resolution power system modeling. Key areas of exploration involve extreme renewable energy deficit events, storage solutions, and policy frameworks to enhance grid resilience. Kittel has contributed to projects like the DIW Bridge Project ‘SichER’, analyzing capacity mechanisms and demand-side flexibility. His recent work highlights the need for robust methods to quantify renewable energy droughts and evaluates policy measures to ensure energy security during such events. Findings emphasize cross-sector hydrogen integration and adaptive market designs as critical strategies.