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Tim PosseltView profile

Research Fellow

• Value Co-creation
• Service Ecosystems
• Servitization
• +4 more

Dr. Tim Posselt serves as a Postdoctoral Researcher at the School of Business, Economics and Society, Friedrich-Alexander University Erlangen-Nuremberg (FAU), affiliated with the Chair of Information Systems I under Prof. Dr. Möslein. His work focuses on organizational transformation through value co-creation in complex service systems, with emphasis on distributive and regenerative value creation across global enterprises. Posselt earned his doctorate in 2017 on 'Organizational Competence for Servitization' from FAU's WI1 Innovation and Value Creation group. Prior to this, he spent seven years (2011-2018) as research assistant and group manager at Nuremberg's Fraunhofer Center for Applied Research on Supply Chain Services, building foundational expertise in industrial service systems. His research interrogates critical questions in service ecosystems: How do stakeholders define value? What system boundaries enable equitable value distribution? How can collaboration facilitate regenerative outcomes? This work bridges service science, digital innovation, and sustainable value creation, with particular focus on municipal innovation platforms and industrial servitization. Recent publications (2022-2024) reveal evolving trends toward urban applications of service ecosystems theory, especially in digital platforms for municipal climate action and power dynamics analysis. His industrial research continues exploring smart product-service systems and AI-driven innovation, demonstrating consistent integration of microfoundations with ecosystem-level analysis. As an independent researcher and consultant, Posselt facilitates organizational change across multinational enterprises. His Fraunhofer experience informs practical applications of service ecosystem theory in supply chain contexts, while current FAU affiliation supports theoretical advancement through rigorous publication in top-tier venues like the Journal of City Climate Policy and Economy.

• Sensor Systems
• Embedded Systems
• Ultrasound Imaging
• +7 more

Stefan Johann Rupitsch is a Professor at the University of Freiburg, leading the Professorship for Electrical Measurement Technology and Embedded Systems since December 2020. He holds a prominent role in academic and industrial research collaborations, focusing on interdisciplinary fields such as sensor systems, biomedical engineering, and embedded technologies. His work bridges theoretical research with practical applications, including drug delivery systems, environmental monitoring, and disaster response technologies. **Education**: Information not explicitly provided in the text. **Research Interests**: His primary research areas include wireless sensor networks, ultrasound imaging for biomedical applications, magnetic nanoparticle localization, and energy-efficient embedded systems. He has pioneered advancements in magnetomotive ultrasound for drug targeting and developed innovative sensor platforms for industrial and environmental monitoring. His projects often integrate machine learning and robotics to enhance system precision and autonomy. **Projects**: As a project manager or coordinator, he oversees initiatives such as wireless microsensor probes for tree canopy monitoring (B1), cochlear implant sensing (CIAS), and disaster-site radar systems (avaRES). Recent efforts focus on sustainable sensor technologies for wear part optimization (Smart Belt) and gas infrastructure resilience (LEAKALERT). **Grants & Advising**: Rupitsch has supervised numerous theses in fields like sensor design, AI for building acoustics, and earthquake monitoring. He actively participates in reviewing academic works and industry projects, reflecting his leadership in technical communities. **Labs & Teams**: His research is conducted through collaborations with the Microsystems for Biomedical Imaging Laboratory and the Sustainability Performance Center, emphasizing interdisciplinary teamwork and real-world impact.

Ann-Kristin CordesView profile

Professor

• Digital Transformation
• Business Process Management
• Information Systems
• +7 more

Prof. Dr. Ann-Kristin Cordes is a Full Professor of Information Systems and Digital Innovation at Kiel University (since June 2024). She previously held roles including Endowed Professor for Digital Business Transformation at FHV Vorarlberg University (2023–2024) and Assistant Professor at the European Research Center for Information Systems (ERCIS) at the University of Münster (2017–2023). Her research focuses on digital transformation in retail, business processes, and supply chain management, with a particular emphasis on SME digitalization and data-driven business models. She has supervised over 20 theses on topics ranging from smart retail technologies to machine learning applications in brick-and-mortar stores. Education: PhD in Business Informatics, University of Münster (2010–2017) Diplom-Kffr (Master’s equivalent), Business Administration, University of Bielefeld (2003–2010) Research Interests: Digital innovation ecosystems, omni-channel retailing, supply chain integration, and smart service systems. Her work bridges theory and practice, addressing challenges like data-driven decision-making and digital upskilling in organizations. Awards: Outstanding Reviewer Award, International Conference on Information Systems (2019) Projects & Grants: CoDeAI: Collaborative Development of AI Capabilities in SMEs (EU-funded, 2022–2024) Mittelstand 4.0 Competence Center Lingen (BMBF-funded, 2017–2022) EXIST Startup Grant for 'Zeropath' (BMBF, 2023–2024) Key Contributions: Pioneered frameworks for digital transformation tools (e.g., PlanDigital), conceptualized reference models for spare parts logistics, and developed design principles for idea management systems in SMEs. Active in interdisciplinary collaborations, including ERCIS and industry partnerships.

• Educational Technology
• Digital Education
• Teacher Training
• +2 more

Dr. Gabriele Irle is a Researcher at the Leibniz Institute for Knowledge Media (IWM) in Tübingen, Germany, affiliated with the institute since 2017. She works in the e-teaching Transfer lab and serves as deputy Postdoc speaker since 2025. Her editorial role in the Future Space initiative advances science communication for digital education within the Kompetenzverbund lernen:digital network. Education: PhD in Information Science (University of Hildesheim, 2012-2017) Magister Artium in International Information Management (University of Hildesheim/Université de Montréal, 2006-2012) Research Focus: Dr. Irle investigates digital learning ecosystems, specializing in educational technology integration, teacher competency development, VR/AR applications in classrooms, and information-seeking behaviors. Her work bridges theoretical frameworks with practical implementations in higher education and K-12 settings. Publication Analysis: Her 15 most recent works (2017-2025) demonstrate strong thematic coherence in educational technology. Dominant trends include: 1) Virtual/Augmented Reality in pedagogical contexts, 2) Digital competency frameworks for educators, 3) Infrastructure development for knowledge sharing (e.g., Digital Learning Map database), and 4) Psychological dimensions of information processing in digital environments. Projects & Grants: Future Space – Kompetenzverbund lernen:digital (2023-2026): Developing visions for digitally-enhanced teaching BMBF-Meta project "Digitalisation in Education" (Digi-EBF) – Teacher Education (2018-2023): Funded by German Federal Ministry of Education Digital Learning Map 2020 (2017-2018): Cataloging success factors in digital higher education Collaborations: As deputy Postdoc speaker, she coordinates early-career researcher initiatives. Her lab (e-teaching Transfer) focuses on translating research into practical educational solutions through workshops, online resources, and community engagement.

• Robotics
• Automation Technology
• Mechatronic System Design
• +3 more

Prof. Dr.-Ing. Tobias Bruckmann holds the Chair of Mechatronics at the University of Duisburg-Essen . His research focuses on robotics , particularly cable-driven parallel robots with applications in logistics , construction , and space systems . He is also involved in automation technology and human-machine interfaces . Key Scientific Activities : Organized multiple international conferences (e.g., CableCon 2019, IFToMM DA-CH 2020) and served as Associate Editor for IEEE robotics conferences. Research Projects : Led EU-funded CableBOT (logistics), DFG projects SEGESTA and ARTIST , and contributed to FAROMIR (home robotics). Recent Publications (2025-2023): Explored cable force calculations, automation in construction, human-robot collaboration, and space robot suspension systems. Collaborations : Worked with institutions in Germany (Fraunhofer IPA, TU Delft), France (INRIA), China (The Chinese University of Hong Kong), and Poland. Email: tobias.bruckmann@uni-due.de

Thomas FröchView profile

Researcher

• Geoinformatics
• Urban Digital Twins
• 3D Geospatial Modeling
• +5 more

Thomas Fröch is a researcher at the Chair of Geoinformatics (Technische Universität München) focusing on AI-based urban digital twin technologies . His work centers on 3D geospatial modeling, semantic transformation, and deep learning applications for urban planning scenarios. Key projects: Connected Urban Twins (CUT) , AI4TWINNING , 3DCityDB Research areas: Urban digital twins , Semantic modeling , Deep learning for facade reconstruction Publications: 15 recent works emphasize 3D city models, diffusion models, and geospatial AI Contact: thomas.froech@tum.de | Office: Arcisstraße 21, Room 0126 | Phone: +49.89.289.22973

• Medical Natural Language Processing
• Clinical Text Analysis
• Radiology Informatics
• +5 more

Chaitanya Shivade is a prominent researcher specializing in medical natural language processing with significant contributions to clinical text analysis, radiology informatics, and behavioral health documentation. His work bridges computational linguistics and healthcare applications, focusing on practical solutions for clinical documentation challenges. Shivade's research spans multiple critical areas: developing evaluation frameworks for behavioral therapy notes (TN-Eval), creating shared tasks for medical summarization (MEDIQA), advancing visual dialog systems for radiology, and pioneering synthetic clinical note generation. He has made substantial contributions to textual inference in clinical domains through the MedNLI dataset and has explored fundamental linguistic challenges like negation detection and gradable term analysis in medical text. As a workshop organizer for the NLP for Medical Conversations series, he has helped shape community standards and foster collaboration. His publication record demonstrates consistent leadership in applying NLP to real-world healthcare problems, with particular emphasis on evaluation methodologies, dataset creation, and practical clinical applications. Shivade has collaborated extensively with medical professionals and researchers across institutions to ensure clinical relevance of his technical work. Organized MEDIQA shared tasks (2019, 2021) Co-organized NLP for Medical Conversations workshops (2019, 2020) Developed TN-Eval framework for therapy note quality assessment Created MedNLI dataset for clinical textual inference Pioneered synthetic clinical note generation approaches His work consistently addresses the tension between clinical utility and technical innovation, with growing emphasis on evaluating LLM performance in healthcare contexts. The progression from foundational clinical NLP techniques to complex evaluation frameworks demonstrates his evolving research trajectory toward ensuring reliable AI deployment in medical settings.

Rezaul KarimView profile

Researcher

• Machine Learning
• Explainable AI
• Natural Language Processing
• +6 more

Rezaul Karim is a Sr. Data Scientist at ALDI SÜD - International Data & Analytics and Guest Researcher at RWTH Aachen University's Faculty of Computer Science, Department of Computer Science 5. He completed his PhD in Explainable AI at RWTH Aachen University with distinction (Summa Cum Laude) under the supervision of Prof. Dr. Stefan Decker. His research focuses on machine learning, explainable AI, and their applications in healthcare and bioinformatics. Karim has developed methods for cancer susceptibility prediction from multiomics data, explainable knee osteoarthritis diagnosis, and privacy-preserving analytics for sensitive medical data. His work bridges the gap between theoretical machine learning and practical applications in medical diagnostics and biological data analysis. Karim's publication record shows consistent output in top venues, with recent work emphasizing interpretable models for complex biomedical problems. His research integrates machine learning with semantic web technologies to create data and knowledge-driven analytical solutions that maintain model transparency. Best paper (NLP) award at a top data science conference ICT Young Researcher Award 2020 for significant contributions to ICT-related research As an educator, Karim teaches Data Science in Medicine Seminar (WS 2025) and has previously taught courses on building Large Language Model Applications and Semantic Web technologies. His industry experience at Fraunhofer FIT and ALDI SÜD provides practical context to his academic work, ensuring his research addresses real-world challenges in data science and machine learning deployment.

• Geospatial Digital Twins
• Virtual Geographic Environments
• Remote Sensing
• +7 more

Jun Zhu is a professor at the Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, China. His research is centered on geospatial digital twins, virtual geographic environments, and intelligent visualization for disaster risk management, with strong interdisciplinary work in AI, remote sensing, and VR-based simulation. His research interests include: Geospatial Digital Twins Virtual Geographic Environments AI for Remote Sensing 3D and VR-based Disaster Visualization Knowledge Graphs in GIS Public Risk Communication The recent articles (2023–2025) demonstrate a strong trend in integrating large language models, knowledge graphs, and deep learning with geospatial data to build intelligent, interactive, and immersive systems for infrastructure monitoring, disaster simulation, and public engagement. His work emphasizes data-knowledge fusion, human-centered visualization, and real-world applicability in urban and environmental contexts. Scientific Awards: No awards listed in the provided text. Advising and Grants: While Jun Zhu has extensive collaboration with researchers such as Weilian Li, Qing Zhu, Yakun Xie, and Jianbo Lai, and appears to lead research projects, there is no explicit mention of student advising, grant funding, or project titles in the provided data. Labs and Teams: Jun Zhu is likely part of a research group focused on digital twins and geospatial AI at Southwest Jiaotong University, collaborating closely with colleagues in geoinformatics and remote sensing, though specific lab names are not mentioned.

Thomas NeiferView profile

Researcher

• Data Analytics
• Machine Learning
• Shared Mobility Systems
• +4 more

Thomas Neifer is a Research Associate and PhD student at the Department of Management Sciences at Hochschule Bonn-Rhein-Sieg (H-BRS). He teaches courses including "Data Analytics and Development using Python" (Business Informatics), "Case Studies Data Analytics" (Master's program), and contributes to certificate programs like "Data Strategist" and practical projects such as "Cloud Lab." Location: Sankt Augustin, Room G 123 Email: thomas.neifer@h-brs.de Phone: +49 2241 / 865-9886 His research focuses on data science applications for mobility systems, human-computer interaction, and algorithmic trust-building. He actively contributes to open-source platforms like MIAAS for mobility data analysis and has published on topics ranging from machine learning techniques to digital sovereignty and sustainable consumer technologies. Recent publications reveal a strong emphasis on shared mobility solutions (peer-to-peer carsharing, electric micromobility), data-driven decision-making (regression analysis, Markov chain methods), and user-centered digital systems (recommender systems, voice interfaces). His work often bridges computational methods with real-world business and sustainability challenges. Best Paper Award at ICE-B 2021 Member of People for the Ethical Treatment of Animals (PeTA) since 2023 Thomas collaborates with researchers across Europe on projects like MIAAS, which develops open-source mobility dashboards. His teaching and research integrate practical project work with theoretical advancements in data science and intelligent automation.

Anton WorobeiView profile

Professor

• Construction Management
• Project Management
• Lean Construction
• +3 more

Anton Worobei is a Professor of Construction Management at Hochschule Bremen, affiliated with Faculty 2 (Department of Building and Environment). His work focuses on optimizing construction project execution across organizational, economic, ecological, legal, and technological dimensions. Specializes in Lean Construction, BIM, and sustainable construction economics Teaches courses on construction process planning, cost management, and project leadership Recent research examines intercultural campus infrastructure and urban-university space integration

Holger BaumannView profile

Professor

• Geoinformation Systems
• Web Mapping
• Geospatial Data Processing
• +2 more

Holger Baumann is a Professor in the field of Geoinformation at Anhalt University of Applied Sciences, Department 3 - Architecture, Facility Management and Geoinformation. He has served as the Director of the Institute for Geoinformation and Surveying (IGV) since 2023 and previously led the Institute for Applied Geoinformatics and Spatial Analyses (AGIRA) from 2009 to 2024. Education: Diplom-Ingenieur in Technical Cybernetics and Automation Technology from the University of Magdeburg (1987), Dr.-Ing. (1991). Research Interests focus on geospatial data systems, including databases and geodatabases, web mapping technologies, programming for GIS applications, and software development. His work bridges theoretical geoinformatics with practical implementation in spatial analysis. Recent Publications include contributions to dual-degree program design in geoinformatics, reflecting his commitment to applied education models. His 2024 article on the dual Master's program at Anhalt University highlights interdisciplinary collaboration and digital education frameworks. Leadership Roles: He has held administrative positions such as Vice Dean (2018-2022), Senate member since 2021, and commissions for Information Technology and Digitalization since 2022. He serves as Degree Program Advisor for the part-time online Master's in Geoinformation Systems (beMasterGIS) until 2024. Contact: Based at Bauhausstraße 8, Dessau (Building 7, Room 310), he can be reached at Holger.Baumann@hs-anhalt.de or via the IGV director email.

Gullal Singh CheemaView profile

Researcher

• Multimodal Learning
• Natural Language Processing
• Computer Vision
• +3 more

Gullal Singh Cheema is a Researcher at the Leibniz Information Centre for Science and Technology (TIB) within the Visual Analytics research group (Program Area C - Research and Development). His work bridges computer vision and natural language processing to advance multimodal analysis in digital media contexts. His research spans multimodal learning, natural language processing, and computer vision with emphasis on fact-checking systems, claim detection, and social media analytics. Key contributions include the MM-Claims dataset for multimodal verification and leadership in the CLEF CheckThat! lab series addressing political bias and news source authority. His work integrates visual and textual evidence for applications in news analysis, event-centric knowledge graphs, and wildlife conservation. Recent publications (2021-2023) reveal a concentrated focus on multimodal news verification, with significant output in CLEF and SemEval evaluation campaigns. His research demonstrates consistent innovation in fusing transformer architectures with syntactic features while expanding into multilingual sentiment analysis and misogynistic meme detection. Cheema actively shapes the research community through workshop organization (MUWS'22) and dataset development. His Visual Analytics group at TIB drives methodological advances in multimodal understanding with direct applications for social media monitoring and digital humanities.

• Geospatial Analysis
• Urban Development
• Cartography
• +3 more

M. Schorcht is a Researcher at the Leibniz Institute of Ecological Urban and Regional Development (IOER) since 2015, working in the research group for Spatial Information and Modelling. His expertise includes programming website applications and databases, automated geodata processing, and method development for settlement development analysis such as new land use, building change detection, and densification indicators. His educational background includes: Doctoral thesis (2016-2023) at the Faculty of Forestry, Geosciences and Hydrosciences, TU Dresden, on "Spatial analysis, quantification and evaluation of developments in settlement structure based on topographic geodata". Diploma in Cartography (2007-2015) at TU Dresden. Internship (2011) at the Leibniz Institute for Regional Geography in Leipzig. Internship (2010) at ETH Zurich, Institute for Geodesy and Photogrammetry. His research focuses on geospatial methodologies for urban monitoring, combining cartographic principles with computational analysis of settlement patterns. He develops technical frameworks for processing topographic geodata to quantify urban densification and land-use transitions, contributing to ecological urban planning through empirical spatial modeling. Key projects he contributes to include: IÖR-Monitor: Foundational system for tracking settlement and open space development. ENOB DataNWG: National data collection on non-residential building stock structure and energy quality. meinGrün: Interactive application for urban green space navigation and information access. Deutsche Gesellschaft für Kartographie (DGfK): Professional society for cartography and geomatics. His work operates within IOER's Spatial Information and Modelling group, funded jointly by German federal and state governments with specific projects co-financed by Saxon State Parliament tax allocations.

Sujit Kumar SikderView profile

Researcher

• Urban Science
• Spatial Transformation
• Spatial Analysis
• +7 more

Sujit Kumar Sikder is a Senior Scientist at the Leibniz Institute of Ecological Urban and Regional Development (IOER) in Dresden, Germany, where he works in the Research Area - Spatial Information and Modeling (FBM) and Research Data Centre (IOER-RDC). He has held research positions at the University of Bonn, Germany, and the United Nations University, Bonn, Germany. His academic background includes a PhD in Engineering from the University of Bonn and a Master of Science from the Technical University of Munich. Dr. Sikder's educational background includes a PhD in Engineering from the University of Bonn (2012-2017), a Master of Science in Land Management and Geospatial Science from the Technical University of Munich (2009-2011), and a Bachelor of Urban and Rural Planning from Khulna University, Bangladesh (2001-2005). His research focuses on exploring actionable insights to advance pathways toward a net-zero future through an integrated perspective on land use, energy, and mobility systems. His work spans Urban Science, Spatial Transformation, Spatial Analysis, Hybrid Modelling, Geocomputation, Open Data, and Data Management. Dr. Sikder employs interdisciplinary approaches to understand urban systems, with particular attention to both the Global North and Global South contexts. He has developed frameworks for adopting global open data in local urban development and has conducted extensive research on urban spatial transformation during the pandemic era. Dr. Sikder serves as Area Co-Editor for the Journal of Data & Policy and as Guest Associate Editor for Frontiers in Sustainable Cities. He is also a reviewer for numerous international journals including Nature, PLOS ONE, and Frontiers in Sustainable Cities, and reviews research grant proposals for the Economic and Social Research Council and UK Research and Innovation. His scientific achievements include a Doctoral Fellowship from KAAD, a Post-graduate Fellowship from DAAD, a Jury Award for Innovative Ideas on retrofitting privately owned buildings in Frankfurt, and an International Conference Travel Grant. He is a member of several professional organizations including the German Association for Geodesy, Geoinformation and Land Management (DVW), the German Research Data Alliance (RDA), and the Bangladesh Association of Planners (BIP). Dr. Sikder coordinates multiple research projects including SoRa (DFG-funded) and OpenGeoEdu (BMVI funded). His work bridges academic research with practical urban planning applications, emphasizing data-driven decision making for sustainable urban development. He has developed methodologies for linking survey and spatial data to enable interdisciplinary research and has contributed to understanding urban spatial transformation dynamics in both pandemic and post-pandemic contexts.