Philipp Mayr-Schlegel is a Professor at the University of Göttingen’s Institute of Computer Science, leading the team 'Information & Data Retrieval' at GESIS - Leibniz-Institute for the Social Sciences. His research focuses on interactive information retrieval systems, scholarly recommendation mechanisms, and the integration of bibliometric methods with digital library technologies. University of Göttingen - Institute of Computer Science GESIS - Leibniz-Institute for the Social Sciences His work spans information retrieval , digital libraries , and applied informetrics , with particular emphasis on: Interactive search systems Non-textual ranking algorithms Scholarly document processing Knowledge representation Semantic search technologies User behavior analysis Recent research outputs (2025) include studies on LLMs for scholarly search, bibliometric reproducibility tools, scientific uncertainty annotation, and preprint adoption disparities. He has published extensively in Scientometrics , International Journal on Digital Libraries , and top conference proceedings like ACL and ECIR . As organizer of the International Workshop on Bibliometric-enhanced Information Retrieval (BIR) and Scholarly Document Processing (SDP) series, he has shaped academic discourse through editorial roles at ISSI , JCDL , and SocInfo conferences. His projects have attracted significant national and European funding.
Dr. Yana Boeva is a Junior Research Group Leader at the University of Stuttgart , affiliated with both the Institute for Social Sciences and the Cluster of Excellence IntCDC . Her work bridges Science and Technology Studies (STS) with Computational Design , focusing on critical examinations of digital infrastructure, human-computer interaction, and sustainability in architectural contexts. Research Interests: Algorithmic entanglements in design and construction Participatory technology production Digital fabrication and material practice Epistemic cultures of computational design Socio-political implications of Building Information Modeling (BIM) Her recent publications analyze timber construction innovation trajectories , platformization in urban environments , and ghost labor in automation . She co-edited the volume Algorithmic Regimes (2024), which investigates algorithmic knowledge production across societal domains. Scientific Awards: Recipient of the DigitalFUTURES Young Award for critical computational design research Dr. Boeva teaches courses on Algorithmic Sociology and Digital Sustainability at the MA and BA levels. Her work has been supported by projects under the Excellence Cluster IntCDC and BBSR Innovationsprogramm Zukunft Bau .
Charles L. A. Clarke is a Professor at the University of Waterloo, Canada, with a focus on Information Retrieval and Large Language Model evaluation . He actively contributes to research in search algorithms, human-computer interaction, and computational linguistics. Recent Research Trends : His work examines LLM limitations in relevance assessment, adversarial robustness in legal domains, and hybrid human-AI evaluation frameworks. Workshop Leadership : Co-organizer of the Search Futures Workshop (ECIR 2024/2025) and LLM4Eval@SIGIR. Collaborations : Works with researchers from NII, Microsoft, and ACM SIGIR on testbed development and evaluation methodologies. Key Article Trends : His 2024-2025 publications analyze LLM vulnerabilities, develop evidence retrieval systems, and create metrics for human-AI alignment in generative applications. Subfields include adversarial attacks, prompt sensitivity, and semantic graph frameworks. Scientific Contributions : Focuses on bridging algorithmic performance with human judgment validity, emphasizing ethical AI deployment and robust information access systems.
Dr. C. Maria Keet is a Professor in the Department of Computer Science at the University of Cape Town, South Africa. With a PhD from the Free University of Bozen-Bolzano (2008), she has established herself as a leading researcher in ontology engineering and multilingual natural language processing, particularly for African languages. Her research interests span Ontology Engineering , Knowledge Representation , Natural Language Processing for African languages (especially isiZulu), Conceptual Data Modeling , and Temporal Data Modeling . She has developed significant frameworks for ontology modularization, competency questions, and multilingual knowledge representation. Her work bridges theoretical computer science with practical applications for linguistic diversity in Africa, addressing the critical need for technology that serves low-resourced languages. Her recent publications (2023-2025) reveal a strong focus on advancing ontology engineering methodologies, improving multilingual language processing capabilities, and developing tools for temporal data modeling. She has pioneered approaches for representing African languages in computational systems, with particular attention to noun classification, verb conjugation, and part-whole relations in Bantu languages. Dr. Keet has made substantial contributions to educational resources in her field, including her 2023 book The What and How of Modelling Information and Knowledge - From Mind Maps to Ontologies , which serves as a comprehensive guide to knowledge representation techniques. She actively supervises graduate students and has developed in-house tools specifically for ontology engineering education, demonstrating her commitment to advancing both research and teaching in her field.
Yubao Liu is a Professor at Sun Yat-sen University's School of Data and Computer Science, Department of Computer Science, with a prolific research career spanning over two decades in computer science. His work demonstrates significant contributions to database systems, data mining, and spatio-temporal analysis. Professor Liu's research interests focus on Data Mining , Database Systems , Traffic Flow Prediction , and Graph Neural Networks . His recent work has concentrated on developing advanced techniques for large-scale traffic flow prediction, crowd flow analysis, and spatio-temporal modeling using deep learning approaches. His research bridges theoretical computer science with practical applications in transportation systems and urban computing. Liu's publication record shows consistent high-impact contributions, with recent work emphasizing graph-based neural network architectures for traffic forecasting problems. His research demonstrates a clear evolution from foundational database work to cutting-edge applications of deep learning in transportation and social network analysis. Professor Liu has collaborated extensively with researchers including Weiyang Kong, Kaiqi Wu, Sen Zhang, Genan Dai, and Youming Ge, indicating a strong research group focused on spatio-temporal data analysis and deep learning applications. His academic advising is evident through publications where his students appear as first authors, suggesting an active mentorship role in training the next generation of computer scientists specializing in data-intensive applications.
Demetrio Arturo Ovalle Carranza is a Professor in the Department of Computer Science at the National University of Colombia's School of Engineering. With an academic career spanning over three decades since earning his PhD from Joseph Fourier University in Grenoble, France in 1991, he has established himself as a prominent researcher in multi-agent systems and educational technology. His research focuses on developing intelligent systems for education, particularly in the areas of multi-agent architectures, adaptive learning environments, context-aware educational applications, and learning object recommendation systems. His work bridges artificial intelligence with practical educational applications, creating systems that adapt to individual learner needs and contexts. Analysis of his recent publications (2015-2020) reveals a strong trend toward developing sophisticated multi-agent systems for educational applications, with increasing emphasis on context-awareness, personalization, and adaptive learning techniques. His research demonstrates consistent evolution from foundational multi-agent work to sophisticated educational applications integrating fuzzy logic, ontologies, and collaborative filtering. Ovalle Carranza has mentored numerous researchers who have become active contributors in the field, including Oscar M. Salazar, Néstor D. Duque, Valentina Tabares Morales, and others who frequently appear as co-authors on his publications. His collaborative network extends across Colombian institutions and international research groups. His laboratory work centers around developing and testing multi-agent educational systems, with particular emphasis on creating adaptive learning environments that can respond to individual student needs and group dynamics. Current projects appear to focus on serious games, health-care applications of intelligent agents, and advanced recommendation systems for educational resources.
Petter Falkman is a researcher at Chalmers University of Technology, specializing in robotics, industrial automation, and control systems. His work bridges theoretical advancements with practical applications in manufacturing, leveraging technologies like digital twins, eye tracking, and virtual reality. Key Research Areas: Robotics, Industrial Automation, Control Systems, Digital Twins, Human-Computer Interaction, Machine Learning. Collaborations: Frequently works with Bengt Lennartson, Kristofer Bengtsson, Martin Dahl, and colleagues across institutions. Publication Trends: Recent articles focus on gaze-based human intention prediction, ROS2 control architectures, and compositional automated planning. His work integrates machine learning with industrial control systems, emphasizing event-driven design and virtual commissioning. Methodologies: Develops frameworks like EPypes for data pipelines, contributes to STEP AP214 model generation, and explores energy optimization in multi-robot systems.
Jacob A. Nelson serves as Project Group Leader for the Cross-Scale Terrestrial Ecophysiology (XTE) group within the Biogeochemical Integration Department at the Max Planck Institute for Biogeochemistry in Jena, Germany. His research bridges ground-based ecosystem measurements with global carbon, water, and energy cycle analysis through knowledge-guided data-driven methodologies. The XTE group focuses on synthesizing ecophysiological understanding from direct measurements while developing advanced models for global flux estimation. Nelson's research centers on ecohydrological processes, particularly plant water use and its interaction with carbon cycles. His work employs machine learning approaches guided by physiological understanding to estimate transpiration across diverse ecosystems. Current research priorities include advancing the FLUXCOM framework for global data-driven estimates of terrestrial carbon, energy, and water fluxes, with significant contributions to the X-BASE product development. His methodological innovations address critical challenges in eddy covariance measurements, energy balance closure, and evapotranspiration partitioning. Analysis of Nelson's 15 most recent publications reveals strong emphasis on resolving measurement limitations in ecosystem flux quantification while developing next-generation scaling frameworks. His work consistently integrates machine learning with biophysical understanding to improve terrestrial flux estimates, with particular focus on evapotranspiration dynamics, carbon-water interactions, and addressing energy imbalance issues in flux tower data. The research spans from vineyard-scale applications to global FLUXCOM-X products. Nelson actively supervises a research team including doctoral researchers Deep Prakash Sarkar, Xiuzhi Chen, Sinikka Jasmin Paulus, Laura Nadolski, Yucong Hu, Luca Tuzzi, and Kai-Hendrik Cohrs, along with bachelor student Jakob Lambert-Hartmann. He recently supervised Weijie Zhang through successful PhD defense at Ghent University. Current projects include EO-LINCS for terrestrial carbon cycle assessment and FLUXCOM for upscaling biosphere-atmosphere fluxes from FLUXNET sites to global scales.
Ricarda Winkelmann is Professor of Climate System Analysis at the Potsdam Institute for Climate Impact Research (PIK) and University of Potsdam, where she leads the FutureLab on Earth Resilience in the Anthropocene and the Working Group on Ice Dynamics. She serves as a member of the Earth Commission and holds leadership roles in major international projects including EU-H2020's TiPACCs and PROTECT, Leibniz Project DominoES, and multiple DFG-funded initiatives. Her research focuses on ice sheet dynamics in Antarctica and Greenland, investigating tipping points in the climate system through advanced numerical modeling. She specializes in sea-level rise projections, ice-ocean interactions, and the stability thresholds of polar ice sheets using the Parallel Ice Sheet Model (PISM) and Ice Shelf Cavity Model (PICO). Her work integrates glaciology, climate modeling, and Earth system science to assess planetary boundaries and potential domino effects in the Earth system, with emphasis on anthropogenic climate impacts. Professor Winkelmann's scientific recognition includes: Young Scientist of the Year (2018) EGU Outstanding Early Career Scientists Award (2017) Karl-Scheel-Prize (2017) Teaching award 'E-Learning UP' from University of Potsdam (2017) Young Elite Award 'Top 40 under 40 in Science' (2016, 2017) Publication Award by Leibniz-Kolleg Potsdam (2013) She has secured substantial research funding as Principal Investigator for EU-H2020 projects TiPACCs and PROTECT, DFG projects VAST, GEOLQUEA, XMELT, GIS-TIP, HASH, and PISM-FESOM, and Leibniz Project DominoES. Her grant portfolio examines ice sheet vulnerability, glacial isostatic adjustment, and climate policy implications of Antarctic tipping points. While student advisees aren't listed in source materials, she mentors through leadership of interdisciplinary teams and scientific expeditions. Professor Winkelmann directs the Ice Dynamics Working Group within PIK's Department Earth System Analysis and leads the FutureLab on Earth Resilience. Her research team develops open-source ice sheet models and conducts fieldwork through Antarctic expeditions (ANT-XXVII/2 and ANT-XXXIII/2 on Polarstern) and the interdisciplinary Expedition Anthropocene in the Andes with the German Young Academy.
Professor Roderich Groß is a faculty member at Technical University of Darmstadt, where he serves as Head of the RCPS Lab (Robotics, Control, and Physical Systems Laboratory). His extensive research career spans over two decades with publications dating back to 2006, establishing him as a leading figure in swarm robotics. His work appears in top-tier robotics journals including IEEE Transactions on Robotics, Nature Communications, and The International Journal of Robotics Research. Professor Groß's research focuses on swarm robotics, multi-robot systems, modular and reconfigurable robotics, and human-robot interaction. His work explores how groups of relatively simple robots can collectively perform complex tasks through decentralized control mechanisms. He investigates modular systems that can adapt their physical structure to different tasks and develops human-robot interaction paradigms that enable effective collaboration between humans and robot swarms. His research has practical applications in search and rescue, environmental monitoring, construction, and industrial automation. Analysis of Professor Groß's recent publications reveals a clear evolution from foundational swarm behaviors toward increasingly sophisticated applications. His work addresses critical challenges including energy management in robot swarms (CapBot), multi-operator control interfaces, heterogeneous systems for industrial applications, and bio-inspired collective behaviors. His research bridges theoretical swarm intelligence principles with practical implementation on physical robot platforms like Kilobots, with recent work integrating artificial intelligence techniques such as language models for swarm control. As Head of the RCPS Lab, Professor Groß leads a productive research group with extensive international collaborations. The lab works with various robot platforms focusing on both theoretical modeling and practical implementation of swarm behaviors, contributing significantly to advancing the field of swarm robotics from theoretical foundations to real-world applications.
Johannes Langer is a Researcher affiliated with the Cognitive Systems Group at Faculty of Information Systems and Applied Computer Sciences , Otto-Friedrich-Universität Bamberg, Germany. His academic journey includes a B.Sc. in Psychology (Faculty of Human Sciences and Education) and subsequent roles in Computing in the Humanities. Research and Teaching Assistant (since 2024) Former Teaching Assistant (2022-2024) His research focuses on Machine Teaching , exploring how humans teach machines through sequential interactions. Additional interests include Abstract Reasoning , Neuro-Symbolic/Hybrid AI , and Representation Learning . Recent publications and workshop activities highlight his work in explanatory machine learning, inductive programming, and AI education. Article trends show interdisciplinary work bridging Cognitive Science and Computer Science , particularly in Human-Centered AI and Educational Technology . He participates in academic seminars like the Dagstuhl Seminar on Approaches and Applications of Inductive Programming.
Dr. Bettina-Johanna Krings is a Scientific Associate at the Institute for Technology Assessment and Systems Analysis (ITAS) at the Karlsruhe Institute of Technology (KIT), where she has been working continuously since 1995. She currently serves as Deputy spokesperson for the topic "Work and Technology" within the focus area "Humans and Technology" at KIT and is a Member of the Ethics Advisory Board of the research network "Village Community 2.0 – Aging in Rural Areas." Her role includes being the Responsible Coordinator for Technology Assessment in Teaching at KIT, demonstrating her commitment to integrating research and education. Dr. Krings completed her dissertation in 2015 on "Strategien der Individualisierung" (Strategies of Individualization) at Goethe-Universität Frankfurt am Main, supervised by Prof. Dr. Birgit Blättel-Mink and Prof. Dr. Tilla Siegel. Her academic journey began with work as a scientific associate in educational management programs and gender equality initiatives in Argentina during the early 1990s before joining ITAS. Her research focuses on the critical intersection of technology, work, and society. Main content areas include technical innovations and their impacts on work structures, concepts of human-machine relations, theory and methods of technology assessment, and sociological theories of modernity. She examines how digitalization transforms work environments, particularly in care settings, and investigates ethical dimensions of emerging technologies like artificial intelligence. Her work consistently addresses questions of human-centered technology design, the future of work in rapidly changing technological landscapes, and the societal implications of technological change from multiple disciplinary perspectives. Her extensive publication record (2015-2025) reveals a clear evolution toward increasingly applied research on ethical technology implementation, with particular emphasis on AI applications in workplace contexts, participatory technology development in healthcare, and the transformation of work through digitalization. The interdisciplinary nature of her work is evident in collaborations across sociology, engineering, healthcare, and ethics disciplines. Dr. Krings leads and participates in multiple significant research initiatives including the investigation of 4-day week models and digitalization in geriatric care, international Graduate Summer Schools on "Knowledge Production in Modern Societies," and the Artificial Intelligence for Work and Learning in the Karlsruhe Region (KARL) project. She also contributes to KIT's Umbrella Strategy 2025 on Human Resources (Subproject 7: Visions of Future Work), Kopernikus: SynErgie Cluster VI on organizational development with fluctuating energy supply, and the "NoWa – Norms in demographic change" project, demonstrating her engagement with both theoretical and practical aspects of technology assessment.
Prof. Dr. Katharina Frosch holds the professorship for General Business Administration with a focus on Human Resource Management at the Brandenburg University of Technology since March 2015. She also serves as the overall project leader for the SCALE-C initiative and has held a research professorship in the field of "Digital- and AI-supported learning at the workplace" since September 2024. Additionally, she has been a member of the Senate of the Brandenburg University of Technology since October 2023. Her research focuses on digitally supported human resource management tools for small and medium-sized enterprises (SMEs), human resource economic analyses in knowledge-intensive sectors, and AI-supported workplace learning. Key research areas include testing digitally supported onboarding processes in SMEs, hybrid approaches to work-integrated learning, and developing low-threshold digital HR tools for the Brandenburg-Berlin metropolitan region. Her work emphasizes professionalizing interactions between HR managers and employees at critical points to improve recruitment, motivation, and retention of skilled workers. Prof. Frosch's recent publications demonstrate a strong trend toward AI-enhanced learning solutions, particularly in microlearning, conversation training, and cybersecurity education. Her research increasingly examines how AI technologies can transform workplace learning while maintaining human elements of communication and trust. The SCALE-C project represents a significant interdisciplinary effort combining cybersecurity, artificial intelligence, and learning design to create semi-automated microlearning content. Best Paper Award at eLmL 2023 for 'Scan to Learn: A Lightweight Approach for Informal Mobile Micro-Learning at the Workplace' Best Paper Award at ICDS 2023 for 'Taking the Matter in Their Own Hands – Can Business Unit Developers Fullfill their Digital Demands with Low-Code Development Platforms?' Prof. Frosch actively collaborates with SMEs and public institutions in the Brandenburg-Berlin metropolitan region, leading a community of researchers, students, and HR practitioners developing Open HRM tools. She offers numerous opportunities for students to participate in research through project work, theses, and the SCALE-C initiative. Her teaching portfolio includes courses on Human Resources and Organization, Strategic Personnel Management, and Applied Research in Personnel Psychology, with a special focus on the Open HRM Hackathon. She leads the Open HRM Community, which conducts regular hackathons to develop functional HR app prototypes. Current projects include scientific support for the Federal Office for Foreign Affairs in implementing psychologically supported digital onboarding approaches, developing digital learning laboratories for workplace competence acquisition in SMEs, and implementing digital HR processes for companies like Autohaus Mothor GmbH.
Prof. Dr. Hartmut Heinrich is a Professor of Business Informatics at Brandenburg University of Technology's Department of Economics, where he has served since 1995 and as Dean of the Faculty of Business and Economics from 2002-2013. His career bridges academic research and industrial application in enterprise systems. His educational background includes: Diplom-Informatiker (Computer Science) from Technische Universität Berlin Dr.-Ing. (Doctor of Engineering) from Technische Universität Berlin Heinrich's research centers on ERP systems implementation , particularly SAP solutions , with significant contributions to mobile business processes , security management , and ICT adoption in SMEs . His work uniquely connects vocational education transitions with corporate workforce development, emphasizing practical applicability through industry partnerships. Current projects focus on real-time in-memory computing and cloud-based enterprise architectures. Analysis of his 15 most recent publications reveals evolving research trajectories from foundational ERP system comparisons (2000) toward cutting-edge in-memory computing (2012), consistently addressing industry pain points in system integration, mobile accessibility, and security. His editorial work on SAP ecosystems demonstrates sustained leadership in enterprise software evolution. His scientific recognition includes: Technologie-Transfer-Preis des Landes Brandenburg (2nd Prize, 2004) for mobile SAP R/3 integration with ZF Brandenburg Heinrich has supervised 62+ Master's theses (1998-2013) through partnerships with SAP, Volkswagen, and ZF Getriebe, focusing on practical ERP implementations. His grant portfolio includes BMBF-funded ANKOM (2012-2015) on vocational-to-academic transitions and Land Brandenburg's Innopunkt project (2009-2012). Industry collaborations span commsult AG (co-founded 2000), webXells GmbH, and the Berlin-Brandenburg SAP Forum (active since 2001). His innovation ecosystem includes the KomSiB Security Research Center (2008-2011) and leadership in the IHK Potsdam Innovation Expert Team since 2008, driving technology transfer between academia and regional industry.
David Walter is a researcher at the Department of Information Systems and Business Modeling , University of Hildesheim, focusing on digital health, design science research, and socio-technical systems. He holds a Master's degree in Business Information Systems from the University of Hildesheim (2021) and a Bachelor's in the same field (2019). Education : Master's (2021): Business Information Systems, University of Hildesheim Bachelor's (2019): Business Information Systems, University of Hildesheim His research revolves around informal caregiving support applications , technostress management , and unlearning support systems , with notable contributions to AI readiness assessments and anthropomorphic conversational agents. Recent work includes systematic analysis of informal care apps' real-world features and frameworks for unlearning ineffective knowledge structures. Key scientific awards include the 2023 Best Research-in-Progress Paper at WI23, 2022 Best Prototype at DESRIST, and the 2022 Sebastian Thrun Prize for computer science excellence. His publications span conferences like ECIS, WI, and HCI International, addressing digital health, agile unlearning, and technostress in education.
