Elena Simperl is a Professor at King's College London, UK, with former affiliations at the University of Southampton and Karlsruhe Institute of Technology. Her work focuses on knowledge graphs, semantic web technologies, and AI-driven data management. She leads research in collaborative knowledge engineering, dataset search, and AI ethics, contributing to projects like the TheyBuyForYou platform for public procurement transparency. Her research interests span knowledge representation, crowdsourcing, and human-AI collaboration. Notable contributions include advancing methods for knowledge graph construction, improving data quality via crowdsourced and automated approaches, and exploring the societal impact of AI systems. She has co-edited major conferences such as ISWC and ESWC, and her work bridges technical innovation with practical applications in public policy and information systems. Key projects include developing frameworks for dataset usability, AI-ready data infrastructure, and systems for fact-checking visual content. Her collaborations span academia and industry, addressing challenges in data governance, misinformation detection, and ethical AI deployment.
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.
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.
Thomas Kudraß serves as Professor for Database Systems at the Faculty of Computer Science, Mathematics and Natural Sciences (IMN) at Leipzig University of Applied Sciences (HTWK Leipzig). With over 25 years of academic and industry experience, he teaches courses including Database Basics, Database Application Programming, Data Warehousing, and Big Data Technologies. His leadership roles include Internship Coordinator for Computer Science since 2001, Member of the Academic Senate since 2011, and Contact person for the IMN faculty alumni association since 2005. Dr. Kudraß earned his Dipl.-Ing. in Computer Science from Technical University of Dresden (1985-1990) and completed his doctorate at Darmstadt University of Technology (1992-1997), where his dissertation received the prestigious Jos Schepens Memorial Award. Prior to academia, he worked as an Information Systems Architect at UBS AG Zurich and Database Specialist at Swiss Bank Corporation Basel. His research spans database technologies with focus on heterogeneous database integration, data quality, data privacy, and modern database concepts. Recent work explores cloud-native billing applications for 5G, NoSQL databases, and privacy-preserving record linkage techniques. His publication record shows continuous evolution from traditional database systems to contemporary challenges in big data and distributed systems. Jos Schepens Memorial Award for doctoral dissertation (1997) Active participation in German Informatics Society (GI) specialist groups Organizer of multiple database-related workshops and conferences Professor Kudraß has significantly contributed to academic governance as E-Learning Officer (2000-02), Faculty Council member (2009-12), and liaison lecturer for the German Society for Computer Science (2001-14). He has coordinated numerous student projects and served on program committees for major conferences including INFORMATIK 2017 and BTW series.
Jan Becker is a Professor of Marketing and Service Management at Kühne Logistics University (KLU) in Hamburg, Germany. He holds a Dr. habil. and Dr. sc. pol. in Marketing from Christian-Albrechts-University at Kiel. With over 15 years of industry and consulting experience in digital transformation, his work bridges academic research and practical applications in customer management. Academic Affiliation: Kühne Logistics University (2011–present) Research Focus: Customer Relationship Management, Strategic Marketing, Service Management, Electronic Commerce Teaching: Offers courses in Consumer Behavior, Marketing, Marketing Analytics, and Nonprofit Management across bachelor, master, and doctoral programs His research explores critical areas such as: Geographic proximity effects on social influence Proactive postsales service efficiency Reward-scrounging in referral programs Outcome heterogeneity in entertainment marketing CRM implementation challenges in corporate settings Network effects in peer-to-peer systems Notable scientific awards include the 2018 Sheth/Journal of Marketing Award and the 2015 IJRM Best Paper Award. He is a regular visiting scholar at UCLA’s Anderson Graduate School of Management. Jan Becker’s industry collaborations focus on advanced analytical methods for decision-making in customer management, including churn prevention, referral program optimization, and targeting strategies. His empirical studies span telecommunications, online communities, and digital media sectors, emphasizing both theoretical rigor and practical relevance.
John Domingue is a prominent researcher at The Open University, UK , specializing in Semantic Web technologies, Blockchain applications, and Educational Technology. He has co-authored over 211 publications since 1987, with recent work focusing on decentralization, data privacy, and AI integration. Current research themes include: Decentralized learning analytics Blockchain-based micro-accreditation Semantic knowledge graphs AI for education Trusted decentralized systems His recent publications (2023-2025) demonstrate ongoing leadership in Semantic Web and Blockchain research applied to education and data governance. Key collaborations include Alexander Mikroyannidis, Aisling Third, and Carlos Pedrinaci. Notable projects: FORGE Toolkit for remote experimentation ScienceMiles digital currency for researchers ADA system for automated learning analytics Decentralized trust frameworks Semantic PETs (Privacy Enhancing Technologies) While formal awards aren't listed, his extensive publication record in top venues (WWW, ISWC, ESWC) and editorial contributions establish him as a key figure in Semantic Web research. His work bridges technical innovation with practical educational applications, particularly in decentralized architectures.
Prof. Dr. Sandra Tänzer is a full professor at the Faculty of Education , University of Erfurt, holding the Professorship for Pedagogy and Didactics of General Education since 2011. She leads multiple subprojects within university learning workshops, including QUALITEACH , the eduroom - Workshop for Media Education , and local history initiatives in the DuT project. Research Interests: Teacher training, university learning workshops, historical developments in GDR education, and curriculum planning. Affiliations: Faculty of Education (University of Erfurt), Erfurt School of Education, Goethe University Frankfurt. Publications focus on university learning workshops, GDR-era educational materials, and interdisciplinary teacher training. She co-edits the Primary School Science Instruction magazine and contributes to educational reform dialogues. Projects include longitudinal studies on teacher professionalization, GDR historical education analysis, and sustainable learning cultures in teacher education. She emphasizes materiality, aesthetics, and reflective practice in educational settings.
Dennis McLeod is a Professor at the University of Southern California , specializing in Database Systems , Ontology Engineering , and Semantic Heterogeneity resolution. His work bridges Federated Database Systems and Web Engineering , focusing on component-based architectures, adaptive ontologies, and geospatial data processing. Key Research Areas : Semantic heterogeneity, ontology-driven data mining, mobile web information management, and distributed systems. Collaborations : Extensive partnerships with researchers like Qing Li , Cyrus Shahabi , and Stefania Leone across institutions. Publications (2014-1995) span topics from component-based web engineering to distributed earthquake science , with recent work on geostreaming, social network tag-geotag analysis, and spam filtering using ontologies. His contributions include frameworks for multi-resolution document transmission , object-oriented database sharing , and adaptive query optimization in federated systems. Scientific Impact : Co-chairs and tutorials at major conferences (VLDB, CoopIS, ICDE). Co-edited proceedings for ICWL 2008 and contributed to Expert Database Systems (1989-1991). Pioneered INTERBASE for controlled sharing in federated databases (1990).
Linda Schlegel is a Research Fellow at the Peace Research Institute Frankfurt (PRIF) in the Research Department Transnational Politics and at modus Centre for Applied Research on Deradicalization. She serves as co-project leader of the RadiGaMe project since 2023 and is a founding member of the Extremism and Gaming Research Network (EGRN). Schlegel also holds membership in the Expert Pool of the Radicalisation Awareness Networks (RAN) since 2022 and is part of the European Expert Network on Terrorism Issues (EENeT) since 2025. Her educational background includes a PhD from Goethe University Frankfurt/M. (completed 2020-2023), an M.A. in Extremism Studies from King's College London (2016-2017), and a B.A. in Liberal Arts from University College Maastricht (2012-2015). Schlegel's research centers on the intersection of gaming and extremism, with particular focus on how digital gaming platforms facilitate radicalization processes and how narrative campaigns can counter extremist messaging. Her work explores the gamification of extremist content, user behavior in gaming environments, and the development of positive interventions within gaming communities. She has pioneered research on how fictional storytelling can enhance the effectiveness of counter-extremism narrative campaigns, arguing that fantasy elements increase persuasive impact in digital P/CVE efforts. Analyzing her publication trajectory reveals a clear evolution from theoretical explorations of online radicalization processes toward practical interventions in gaming spaces. Her early work examined foundational concepts like 'user types' in digital radicalization processes and the role of perceived self-efficacy in radicalization. More recently, her research has shifted toward actionable strategies, including toolkits for practitioners, positive gaming interventions, and policy recommendations for gaming platforms. A consistent thread throughout her work is the emphasis on narrative approaches to counter extremist messaging in digital spaces. Schlegel leads significant research initiatives including the RadiGaMe project on radicalization processes on gaming platforms and messenger services. She has provided policy advice to the United Nations Office of Counter-Terrorism, the European Commission's Knowledge Hub on Prevention of Radicalization, and the Radicalisation Awareness Network. Her work bridges academic research with practical counter-extremism efforts, particularly through her involvement with GIFCT working groups focused on gaming communities. She is actively engaged with multiple research networks including ACONA, ANCIP, CBWNet, and the Leibniz Cooperations. Schlegel co-founded the Extremism and Gaming Research Network to specifically address the nexus between gaming culture and extremist activities, recognizing gaming platforms as emerging spaces for both radicalization and prevention efforts.
David Broneske is a Researcher at the Otto von Guericke University of Magdeburg , Germany. His work spans Database Systems , Heterogeneous Computing , and Machine Learning Applications , with a focus on GPU/FPGA Acceleration and Non-volatile Memory (NVM) Optimization . He has contributed to projects like ADAMANT (co-processor integration) and GridTables (H2TAP data stores). Key Research Areas : Database acceleration via specialized hardware, Graph database applications in clinical/biological domains, and AutoML for domain-aware model selection. Collaborations : Frequent co-author with Gunter Saake, Bala Gurumurthy, and Sajad Karim on topics like NVM Storage and GPU-based Query Execution . Publications : Over 105 papers (2012–2025) covering Protein Identification Systems , Entity Resolution , and Software Evolution Datasets . Workshops : Co-organized the Workshop on Novel Data Management Ideas on Heterogeneous (Co-)Processors (NoDMC) and contributed to standards like Backlogs/Interval Timestamps for temporal graph queries.
Dr. Sven Strobel is a researcher at the German National Library of Science and Technology (TIB), affiliated with Leibniz Universität Hannover. Since 2013, he has served as Product Owner for the TIB AV-Portal, a scientific video platform, and founded the "Agility in Libraries" Community of Practice to promote agile methodologies within library environments. His work bridges library science and digital technology development. His educational background includes: Linguistics and History studies at the University of Stuttgart Doctorate in Linguistics through an international graduate program Dr. Strobel's research focuses on digital video platform development for academic content, with specialization in agile project management methodologies adapted for library settings. His technical expertise spans software engineering for library applications, AI integration (particularly speech recognition), and knowledge management systems . He investigates process optimization within information institutions and the adaptation of Scrum frameworks to academic library contexts, emphasizing user-centered design and iterative development approaches. His publication history reveals an evolutionary trajectory of the TIB AV-Portal from basic video repository to sophisticated platform incorporating mobile access, data sovereignty features, AI-powered enhancements, and multilingual support. The publications demonstrate consistent focus on technical reliability, user experience optimization, and the practical application of agile development principles to meet researchers' evolving needs across disciplines. Dr. Strobel has established significant collaborative networks: Founder of the "Agility in Libraries" Community of Practice Regular contributor to international workshops on scientific video platforms Active participant in the TPDL (Time-Based Media and Persistent Digital Objects) community Key developer in TIB's Non-Textual Materials research group His laboratory work centers on advancing the technical capabilities of video-based scholarly communication infrastructure while ensuring alignment with academic workflows. This includes developing features for diverse research communities who utilize video for knowledge dissemination, from lectures and presentations to research data visualizations and experimental documentation, with particular attention to accessibility and long-term preservation.
Professor Alexander Wormit is a faculty member at SRH Hochschule Heidelberg, leading the Music Therapy B.A. program and serving as Chair of the Examination Committee in the School of Health, Education and Social Sciences. He holds a Dr. sc.hum from Ruprecht-Karls-Universität Heidelberg and has extensive experience in clinical music therapy research, particularly in geriatric care, chronic pain management, and palliative care. His research focuses on music-based interventions for dementia patients, displaced youth, and elderly populations. He has led multiple projects, including the 'Bridges' initiative for refugees and studies on music therapy efficacy in geriatric settings. Wormit has authored numerous books and peer-reviewed articles, emphasizing evidence-based practice and interdisciplinary collaboration. Education: Dr. sc.hum in Music Therapy from Heidelberg University (2008) Leadership Roles: Head of Music Therapy Program, Project Lead for 'Bridges', and Chair of the Examination Committee Research Interests: Geriatric care through music therapy, chronic pain interventions, palliative care, and music therapy's role in improving quality of life for marginalized populations. His work integrates qualitative and quantitative methods to evaluate therapeutic outcomes and inform clinical guidelines. Articles highlight his contributions to understanding music therapy acceptance in care facilities, chronic pain management, and palliative care innovations. Media contributions include podcasts and interviews on dementia care and music therapy's sociocultural impact. Grants and advising involve curriculum development and collaborative projects across Europe. He is affiliated with the Department of Therapeutic Sciences and the Viktor Dulger Institut, fostering research and education in applied music therapy.
Stephen B. Wicker is a Professor at Cornell University's College of Engineering with a distinguished research career spanning over three decades. His work has significantly impacted the fields of wireless communications, information theory, privacy, and security. Wicker has published extensively in top-tier journals and conferences, demonstrating consistent scholarly productivity from the early 1990s through 2021. His research interests include: Wireless network security and privacy Information theory and error control coding Location-based services and privacy implications Digital rights management and consumer protection Blockchain applications for IoT environments Ethical considerations in technology development Legal implications of digital technologies Wicker's recent publications reveal a strategic evolution in his research focus, increasingly addressing the intersection of technical systems with legal and ethical considerations. His work on smartphone privacy and the Fifth Amendment, eBook surveillance, and zero-day exploits demonstrates his unique ability to bridge technical expertise with societal implications. This interdisciplinary approach has positioned him as a thought leader in understanding how technological capabilities intersect with constitutional rights and civil liberties. His scholarly impact is evident through his extensive collaboration network, with significant work alongside researchers like Kolbeinn Karlsson on blockchain for IoT applications, Dipayan P. Ghosh on eBook privacy issues, and Shion Guha on social surveillance in location-based networks. His research has appeared in prestigious venues including Communications of the ACM, IEEE Proceedings, and IEEE Transactions on Information Theory. Wicker has mentored numerous students who have become productive researchers in their own right, including Xiao-an Wang, Hazer Inaltekin, and Kolbeinn Karlsson, who frequently appear as co-authors on his publications. His work continues to address emerging challenges at the intersection of technology, law, and society, making significant contributions to both academic discourse and public policy discussions.
John F. Roddick is a Professor affiliated with Flinders University in South Australia. His research focuses on data mining, database systems, and temporal databases, with significant contributions to association rule mining, schema evolution, and privacy-preserving techniques. He has collaborated extensively with researchers like Shu-Chuan Chu and Jeng-Shyang Pan, producing over 138 publications across journals and conferences. Key contributions include work on schema versioning, temporal vacuuming in databases, and algorithms for wireless sensor networks. His research extends to image processing, biometrics, and swarm intelligence, with notable applications in traffic prediction and secure communication systems. He has edited conference proceedings and contributed to encyclopedic entries on database systems and data warehousing. Roddick's work often bridges theoretical foundations with practical applications, emphasizing interdisciplinary approaches to data management challenges. His publications span venues such as IEEE Transactions on Knowledge and Data Engineering, Data & Knowledge Engineering, and the Journal of Network and Intelligence.
William J. Giraldo is a researcher in the fields of human-computer interaction, model-driven engineering, and interactive systems design. He has published extensively from 2007 to 2019, collaborating with prominent researchers such as Manuel Ortega, César A. Collazos, Ana I. Molina, and Oscar Pastor. His work appears in journals like Software Quality Journal , Information Systems , and Journal of Systems and Software , as well as conferences including Interacción, CAiSE, and CRIWG. His research interests include: Human-Computer Interaction (HCI) Model-Driven Engineering (MDE) Usability and quality in software modeling Interactive and groupware system design Educational technology and e-learning interfaces User interface development frameworks His recent publications focus on evaluating modeling language quality, integrating technical debt into MDE, participatory design for educational systems, and creating frameworks for UI development—especially for older adults and video-based systems. The articles show a consistent trend toward improving software quality, usability, and accessibility through model-based approaches. While no scientific awards are listed in the provided text, his collaborative work indicates strong integration within academic research networks in software engineering and HCI. He has contributed to advising and research teams, particularly in projects involving model-driven development of groupware and educational systems. His work often involves empirical studies and tool development, suggesting active engagement in both theoretical and applied research. William J. Giraldo has been involved in the development of frameworks such as the Activity Taxonomy (ATx) and tools for Android code generation from conceptual models, indicating a focus on practical, implementable solutions in software engineering and HCI.
