Benno Stein is a full professor of Web Technology and Information Systems at the Bauhaus-Universität Weimar, leading the Intelligent Information Systems Group. He chairs the Digital Bauhaus Lab , an interdisciplinary research center bridging Computer Science, Arts, and Engineering. His research focuses on symbolic AI principles applied to data/knowledge-intensive tasks, with contributions to information retrieval, data mining, computational linguistics, and engineering simulation. Education: Studied at the University of Karlsruhe (1984-1989), earned his PhD (1995) and habilitation (2002) in Computer Science at the University of Paderborn. Professional roles include appointments at IBM Germany and the International Computer Science Institute (Berkeley). Research leadership includes founding the Art Systems Software Ltd (1996) and serving as scientific director. He co-chairs PAN and Touché conferences on digital text forensics and argument retrieval. Active in academic governance as spokesperson of the Digital Bauhaus Lab and on multiple scientific boards. Recognized through scientific and commercial prizes for his innovations in simulation technology and AI-driven information systems.
Dr. Sarah Eggleston is a researcher at the Institute of Mathematics, University of Osnabrück, affiliated with the Applied Algebra and Data Analysis Group within the Department of Mathematics/Computer Science/Physics. She is actively involved in teaching and research, offering courses such as Numerical Mathematics, Mathematics for Users I, and a PhD Seminar in Mathematics. Her research interests lie primarily in applied algebra and data analysis, with additional focus on numerical methods and mathematical modeling. These areas are strongly aligned with the thematic orientation of her research group, which bridges algebraic structures and modern data science applications. The trends in her academic work suggest a strong emphasis on the intersection of algebraic theory and computational data analysis, although no specific publications are listed on the current webpage. This indicates foundational or methodological research with potential applications in scientific computing and data-intensive domains. No scientific awards are currently listed. Dr. Eggleston advises PhD students through her participation in the PhD Seminar in Mathematics, indicating her role in graduate supervision and academic mentorship. There is no mention of external grants or funding in the provided information. She is a member of the Applied Algebra and Data Analysis Group, a research team focused on advancing algebraic methods in data science and related computational fields. This group is part of the broader Data Science Research Center and the Joint Lab KI&DS at the university, suggesting collaborative and interdisciplinary engagement.
Nikolas Herbst is a Professor and Chair of Software Engineering at the Department of Computer Science, University of Würzburg. He leads research in Software Performance Engineering, High-Performance Data Processing, and Autonomic Computing. His work focuses on Cloud and Serverless Computing, Elasticity, and Time Series Analysis. He currently serves as JMU Chief Information Security Officer (CISO) and holds leadership roles in SPEC Research Groups and ICPE Steering Committees. Education: PhD in Computer Science (Karlsruhe Institute of Technology, 2018) Master of Computer Science (Karlsruhe Institute of Technology, 2012) Research Interests: His lab develops tools like CHAMELEON, TELESCOPE, and BUNGEE for cloud elasticity and performance analysis. He emphasizes benchmarking, resource demand estimation, and self-aware systems. Recent projects include real-time forest monitoring (ROOT) and serverless scientific computing (SOS). Teaching: Teaches Operating Systems, Performance Engineering & Benchmarking, and Self-Aware Computing at both undergraduate and graduate levels since 2012. Awards: 10 Year Most Impact Paper Award (ACM/SPEC ICPE 2023) SPEC Kaivalya Dixit Distinguished Dissertation Award (2019) IBM PhD Fellowship (2014) Grants & Projects: Coordinates DFG-funded projects like bidt-ROOT (2023–2026) and SOS (2025–2029). Leads development of open-source tools for cloud performance analysis, including WCF (Workload Classification & Forecasting).
David Geerts is a prominent researcher in human-computer interaction, with a strong focus on interactive and social television, user experience design, and algorithmic transparency. He is affiliated with Katholieke Universiteit Leuven (KU Leuven) in Belgium, where he completed his PhD and has continued to contribute to research in media systems and digital interaction. His work spans over 15 years and includes extensive collaborations with leading researchers in Europe. His research interests include: Human-Computer Interaction (HCI) Interactive and Social Television Media Synchronization and Second Screens Mid-Air Haptics and Multimodal Feedback Algorithmic Transparency and Recommender Systems Inclusive and Provocative Design David Geerts' recent publications explore the role of algorithms in scholarly communication, the design of civil discourse tools for news platforms, and the user experience of novel haptic and tangible interfaces. His work often combines empirical user studies with design innovation, particularly in the context of digital media and social technologies. His publications appear consistently in top venues such as CHI, INTERACT, and TVX, reflecting sustained scholarly impact. Notable trends in his recent work include a shift toward critical examination of algorithmic systems in academia and society, as well as continued innovation in haptic and immersive interaction techniques. David Geerts has collaborated with numerous researchers across institutions, including Pablo César, Bieke Zaman, and Jan Derboven. While no formal awards are listed in the provided text, his editorial contributions and book chapters indicate recognition within the academic community. He has advised or collaborated on projects involving PhD students and early-career researchers, though specific advisees are not named. His research has been supported by academic grants and collaborative projects in digital media and human-computer interaction, though specific funding sources are not detailed in the text. David Geerts is associated with research groups focused on meaningful interactions and user experience, such as the Meaningful Interactions Lab (Mintlab), which explores sociotechnical aspects of digital media and interaction design.
Gabriel Kerekes serves as a Postdoctoral Researcher and Group Leader of 3D Data Acquisition and Monitoring at the Institute of Engineering Geodesy Stuttgart (IIGS), part of the Faculty of Aerospace Engineering and Geodesy at the University of Stuttgart. He is actively affiliated with the Cluster of Excellence IntCDC (Integrative Computational Design and Construction for Architecture), contributing to cutting-edge research in computational construction methodologies. Dr. Kerekes specializes in terrestrial laser scanning (TLS), engineering surveying, and 3D data acquisition systems. His research addresses critical challenges in point cloud processing, stochastic modeling of geodetic measurements, and robotic total station networks for real-time construction monitoring. He develops innovative solutions for deformation analysis, geometric quality control of bio-based building elements, and integration of multi-sensor systems in architectural applications, with significant contributions to biomimetic shell construction and infrastructure monitoring projects. No scientific awards or fellowships were documented in the provided materials. Dr. Kerekes has supervised ten Master's and Bachelor's students since 2018, with research spanning TLS intensity analysis, atmospheric error modeling, and robotic positioning systems. His grant-funded projects include RP 16-2 (Spider Crane Robotic Platform) and AP 7 (Integrated Space-Time Point Cloud Modeling) under the IntCDC cluster. As leader of the 3D Data Acquisition and Monitoring team, he drives advancements in geodetic measurement technologies for next-generation construction processes.
Guillermo Cabrera-Vives serves as a Klaus Tschira Guest Professor specializing in Astroinformatics, focusing on interdisciplinary research at the intersection of astronomy and data-intensive computational methods. His work leverages advanced data science techniques to address complex challenges in astronomical data analysis. Research interests prominently feature Astroinformatics , encompassing large-scale data processing, algorithm development for astronomical datasets, and machine learning applications in observational astronomy. This field bridges theoretical astrophysics with modern computational infrastructure. Contact is facilitated via telephone (+49 (0)6221 – 533 – 225) and fax (+49 (0)6221 – 533 – 298), indicating operational presence in the Heidelberg region of Germany.
Dr. Marleen Goumans is a professor of Integrated Care for Older People and programme director at the Research Centre Innovations in Care at Rotterdam University of Applied Sciences. She also serves as an innovation advisor at healthcare organisation Laurens. Key Affiliations: Rotterdam University of Applied Sciences, Laurens, Vilans, Erasmus MC-Geriatrics, Erasmus School of Health Policy & Management Education Leadership: Involved in European Intensive Programs (Healthy and Active Ageing, Gerontechnology), minor programs (Science and Leadership, Healthcare: Smarter and Better), and serves on the Speech Therapy curriculum board Her research focuses on person-centered elderly care , addressing societal challenges like loneliness, aging in place, and fragmented healthcare systems. Notable projects include: Hanging Out: Community-driven care models for elderly in Rotterdam neighborhoods RUAS Datalab Healthcare: AI and data-driven solutions for healthcare education and research In Touch: Meaningful activities for elderly clients Marleen collaborates with over 20 institutions across Europe, including universities, healthcare providers, and policy bodies. Her work emphasizes organizational innovation, capacity-building for elderly individuals, and cross-sector partnerships to improve care cohesion.
Amin Totounferoush serves as a Researcher within the Analytic Computing group at the University of Stuttgart, Germany. His institutional affiliation places him at Universitätsstraße 32, room 2.201, 70569 Stuttgart, with office hours available by appointment. Contact is facilitated through direct phone lines +49 711 685 88409 and +49 711 685 78409. His research portfolio centers on advanced computational methodologies, with primary expertise in data-intensive systems and scalable computing architectures. Key focus areas include: Algorithm optimization for distributed environments Parallel processing frameworks Large-scale data analytics pipelines High-performance scientific simulations As a core member of the Analytic Computing research unit, Dr. Totounferoush contributes to developing next-generation computational tools for complex scientific problems. His work integrates theoretical computer science with practical engineering solutions for data-intensive challenges across academic and industrial applications.
Prof. Dr.-Ing. Florian Marquardt serves as a Professor in the Department of Computer Science and Media at Brandenburg University of Technology, Brandenburg an der Havel, Germany. His office is located in Building C, Room C.0.15 at Magdeburger Straße 50. His primary research focus centers on Cloud Computing within the broader discipline of Computer Science. His expertise spans infrastructure design, distributed systems, and scalable computing solutions critical to modern data-intensive applications. Contact information includes telephone +49 3381 355-463 and professional email florian.marquardt@th-brandenburg.de.
Professor Michael Zaiser is a distinguished academic at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), where he holds the Chair of Materials Simulation within the Department of Materials Science. Since 2012, he has led research in computational materials science, with prior appointments at the University of Edinburgh where he served as Professor of Mechanics of Materials (2008-2012), Reader (2005-2007), and Lecturer (2001-2005). He maintains significant international collaborations as a Visiting Professor at Imperial College London since 2014 and previously served as Adjunct Professor of Physics at Michigan Technological University (2006-2012). Professor Zaiser's research spans computational materials science with particular expertise in dislocation dynamics, plasticity, fracture mechanics, and hierarchical materials. His work bridges theoretical physics and practical materials engineering, developing innovative computational approaches to understand material behavior at multiple scales. His research group employs advanced simulation techniques including continuum dislocation dynamics, peridynamics, and phase field modeling to investigate fundamental mechanisms of material deformation and failure. Recent work has focused on disordered mechanical metamaterials, hierarchical structures, and the relationship between microstructure and mechanical properties. Analysis of Professor Zaiser's recent publications reveals a strong focus on multiscale modeling approaches that connect atomic-level phenomena with macroscopic material behavior. His work demonstrates increasing integration of machine learning techniques with traditional computational methods, particularly in predicting material failure. The research spans diverse material systems including metals, ceramics, foams, and composites, with consistent emphasis on understanding how microstructural features govern mechanical properties. A notable trend is the investigation of hierarchical and disordered structures to achieve superior mechanical performance. Professor Zaiser leads an active research group at FAU's Department of Materials Science, supervising numerous doctoral students and postdoctoral researchers. His work has been supported by various research grants enabling extensive computational resources and collaborative opportunities with international institutions. His research group maintains strong connections with the Max Planck Society, Fraunhofer Institutes, and Helmholtz Association, reflecting FAU's position as one of Germany's most research-intensive universities. The research laboratory under Professor Zaiser's leadership focuses on computational materials science, with particular emphasis on developing and applying advanced simulation methodologies. The group maintains close collaborations with experimental researchers to validate computational predictions and guide new experimental investigations. Recent work has increasingly incorporated machine learning approaches alongside traditional physics-based modeling to address complex materials challenges.
Johannes Schlüter, M.Sc., is affiliated with Bielefeld University's Faculty of Engineering and the Center for Biotechnology (CeBiTec) , where he serves in the Genome Data Science Group. His primary role involves IT support specifically tailored to the research group's computational needs. His work focuses on the intersection of biology and data-intensive computing, supporting research in genome sequence analysis biological data infrastructure computational methods for genomics Based in office UHG U10-118, he can be reached at +49 521 106-86685 with secretariat support available at +49 521 106-3793.
Prof. Achim Streit is a Professor for distributed and parallel high-performance systems at the Karlsruhe Institute of Technology (KIT) and has served as one of the directors of the Steinbuch Centre for Computing (SCC) since 2010. He actively leads national and international initiatives including the Helmholtz program "Engineering Digital Futures", the National Research Data Infrastructure (NFDI), and the European Open Science Cloud (EOSC), with SCC operating GridKa—the German data hub for particle physics and a Tier 1 center of the Worldwide LHC Computing Grid. His research centers on secure, distributed management of large-scale scientific data, emphasizing metadata standards, AI-driven knowledge extraction, and quantum machine learning. He develops scalable solutions for data-intensive fields like climate research, materials science, and particle physics while prioritizing energy efficiency on heterogeneous computing systems. Streit champions open science, ensuring freely accessible software and datasets through rigorous research software engineering practices. The SCC under his direction implements federated IT services across Helmholtz platforms (HMC, Helmholtz.AI, HIFIS) and NFDI consortia (NFDI4Ing, NFDI-MatWerk, PUNCH4NFDI). His team collaborates extensively with disciplines ranging from energy research to humanities, focusing on distributed authentication infrastructures, data archiving, and resource optimization for global scientific communities.
Klaus Stein is a part-time lecturer at the Chair of Heritage Conservation , Otto-Friedrich University of Bamberg. His work bridges digital technologies , spatial modeling , and cultural heritage through interdisciplinary research projects. Co-leader of the UrbanMetaMapping project (BMBF-funded) analyzing WWII war damage maps Developed KTF (Wiki-based terminology framework) for SMEs Contributed to COM (Communication-Oriented Modeling) DFG research network Active in EMN-MOVES project for age-friendly mobility solutions His research focuses on digital heritage , social network analysis , and collaborative GIS , with over 20 years of publications in spatial cognition and information systems . While his primary role involves teaching in the Master's program in Digital Heritage Technologies , he also contributes to open-source GIS and web mining methodologies. Key projects include: Find Diversity (BioDiv2Go): Promoting biodiversity awareness via location-based games Virtual Spaces : Digital reconstruction of historical church color schemes
Prof. Dr. Andreas Harth holds the Chair of Business Information Systems, especially Technical Information Systems, at Friedrich-Alexander University Erlangen-Nuremberg (FAU), where he has been a faculty member since 2018. He also serves as a department head at the Fraunhofer IIS-SCS in Nuremberg. His academic work spans both theoretical research and practical applications in decentralized information systems, with strong connections to industry through numerous collaborative projects. Harth completed an apprenticeship as a banker before studying computer science. He earned his doctorate from the Digital Enterprise Research Institute at the National University of Ireland, Galway, and completed his habilitation at the Karlsruhe Institute of Technology. His academic journey included teaching and research stays at the universities of Heidelberg, Innsbruck, Stanford, and Southern California, providing him with a global perspective on information systems research. His research focuses on developing methods and technologies for decentralized information systems found in the World Wide Web and blockchain environments, with applications in companies. He investigates data integration using Semantic Web and Linked Data technologies, process modeling languages, and their applications in the Internet of Things, Web of Things, and Industry 4.0 contexts. His work bridges theoretical computer science with practical business applications, particularly in data sovereignty and decentralized architectures. Analysis of his recent publications reveals a strong trend toward Solid protocol applications, knowledge graph technologies, and the integration of large language models with semantic web technologies. His research increasingly focuses on practical implementations in enterprise settings, healthcare data management, and manufacturing systems, demonstrating the real-world applicability of his theoretical work. As a member of FAU's research focus on Digitalization and Innovation, Harth collaborates with strategic partners including the Fraunhofer Institute for Information Systems (IIS) and major German industrial companies. His work contributes significantly to FAU's position as one of Germany's most research-intensive universities, particularly in the fields of business informatics and decentralized systems.
Harrie-Jan Hendricks-Franssen is a Professor at the Jülich Research Centre , affiliated with the Institute of Bio- and Geosciences (Agrosphere, IBG-3). He serves as a Principal Investigator in the Cosmic Sense team, focusing on advanced hydrological modeling and data assimilation techniques. Research Expertise : Development of inverse modeling methods for subsurface and land surface hydrological systems, integration of terrestrial system modeling, high-performance computing, and statistical analysis of hydrological data (e.g., neutron intensity measurements via cosmic ray probes). Technical Contributions : Implementation of measurement operators linking neutron intensity to soil moisture distribution, enabling precise environmental monitoring. Contact details: Tel. +49 2461 61 4462, Fax +49 2461 61 2518, Address: Wilhelm-Johnen-Straße, 52428 Jülich, Germany.
