David G. Kay is an Adjunct Professor in computer science education, collaborating with researchers like André van der Hoek and Debra J. Richardson. His work spans software engineering education , informatics , and intellectual property law for CS instructors. His research interests focus on contextualizing computer science within legal and ethical frameworks, curriculum innovation, and effective course management for large introductory classes. He has contributed to curriculum development and pedagogical strategies in programming courses. His publications, primarily in SIGCSE, ICSE, and IEEE Software, address software patents , collaboration vs. plagiarism , and teaching assistants' training . While his articles emphasize legal aspects of technology , educational design , and curriculum policy , no scientific awards are explicitly mentioned in the provided data.
Bob M. Oscar is a Professor affiliated with the VIVO Demo Instance. His academic work spans multiple disciplines including Ecology, Biochemistry, Mathematics, Medical Sciences, Library Science, Materials Science, and Statistics. Dr. Oscar's research interests focus on ecological systems, mathematical modeling, medical sciences, and information systems. His work demonstrates interdisciplinary approaches that bridge traditional academic boundaries, with particular emphasis on marine ecology, cellular biology, and data science applications across multiple domains. Analysis of his publication record shows consistent research output from 1979 through 2016 across prestigious journals including Science, Nature, Cell, Journal of Ecology, New England Journal of Medicine, and Acta Mathematica. His work demonstrates a pattern of interdisciplinary research with connections between biological systems, mathematical modeling, and information science. Dr. Oscar has collaborated with researchers across multiple institutions, with co-authors including Lauren K. Hermann, Izzy F. Laon, Xerxes Yiola, Sara R. Nunes, Kristi V. Ithimore, and Pedro N. Oscar. His 1996 publication in the Journal of Biochemistry covered diverse subject areas including Baseball, British Royal Navy, Cubism, and Obstetrics, highlighting his interdisciplinary approach.
Shaun K. Kane is a researcher specializing in accessibility , human-computer interaction , and assistive technology . His work focuses on creating inclusive interfaces for people with disabilities, particularly through tactile systems , wearable devices , and AI tools . Kane collaborates with institutions like the University of Washington and organizations such as ACM SIGACCESS. Primary research areas: Accessibility, Human-Computer Interaction, Tactile Interfaces Key collaborations: Amy Hurst, Meredith Ringel Morris, Jacob O. Wobbrock His recent articles explore AI ethics and non-visual accessibility , including projects like RoboGraphics (tactile graphics for education) and Accessible Text-to-Image Interfaces . Kane's work bridges disability-centered design with emerging technologies , emphasizing participatory methods and universal access.
Amy J. Ko is a Professor in the Information School at the University of Washington. Her work focuses on computing education, human-computer interaction (HCI), and accessibility. She has contributed significantly to critical pedagogy in CS education, inclusive design, and LGBTQ+ inclusion in STEM. Her research emphasizes equity, ethics, and the social impact of technology. Affiliations: University of Washington, Information School. Awards: John Henry Award (2019). Her research interests include programming education, HCI for marginalized communities, and the intersection of technology and social justice. She has led projects on inclusive design techniques, queer community-building in computing, and AI tools for youth education. Articles focus on equity in CS education, disability accommodations, and innovative teaching methods. Her work bridges theory and practice, advocating for systemic changes in computing curriculum and policy.
Prof. Heribert Nacken is a Universitätsprofessor at RWTH Aachen University, holding roles in the Exploratory Teaching Space, Rektoratsbeauftragten (Executive Board Delegations), Center für Lehr- und Lernservices (CLS), and the Department of Engineering Hydrology. His research focuses on integrating innovative technologies like virtual reality (VR), serious games, and open-source software into education and flood risk management. He actively contributes to hydrological studies, climate change impact analysis, and curriculum development in engineering and environmental fields. Research interests include leveraging VR and gamification for skill development in disaster management, e-learning strategies, and sustainable water resources planning. He has pioneered projects such as the UNESCO Chair HydroChange, emphasizing capacity building through blended learning approaches in water management education. Recent publications highlight advancements in virtual training for flood protection, open-source networking libraries for educational tools, and the integration of serious games into environmental risk communication. His work bridges technical innovation with pedagogical practices, aiming to enhance both academic and practical outcomes in hydrology and education technology.
Kai Jakobs is a Professor at RWTH Aachen University's Chair of Informatik 4, where he has been a member of the technical staff since 1985. He holds two PhDs: one in Computer Science from the University of Edinburgh (1998) and another in Management Studies from Erasmus University Rotterdam (2023). As a Certified Standards Professional, he brings extensive expertise to the field of ICT standards and standardization processes. Dr. Jakobs' educational background reflects his interdisciplinary approach, combining technical computer science knowledge with management perspectives. His dual doctoral qualifications position him uniquely at the intersection of technology and organizational strategy in standardization. He has established himself as a leading scholar through his extensive publication record and editorial leadership. His research focuses on various aspects of ICT standards and the standardization process. Over his career, he has (co)-authored/edited more than thirty books on standards and standardization processes, with particular emphasis on the ICT sector, and published over 250 papers in academic venues. His scholarly contributions span foundational networking protocols to contemporary smart systems standardization. Dr. Jakobs has served on program committees and editorial boards of numerous international conferences and journals, and has contributed as an external expert on European R&D program evaluation panels. Recent publications reveal a strong emphasis on responsible standardization for smart systems, stakeholder engagement in standards development, and the evolving relationship between standardization and innovation. His work increasingly addresses societal implications of standardization, examining how standards development can be made more inclusive and responsive to diverse needs in rapidly evolving technological domains. Board member of the European Academy for Standardisation (EURAS) Founder of the 'International Journal on Standardization Research' Founder of 'Advances in Standardization Research' Founder of 'EURAS Contributions to Standardisation Research' book series Certified Standards Professional Dr. Jakobs maintains strong connections between academic research and practical standardization activities. His work with European organizations and participation in numerous standardization conferences demonstrates his commitment to bridging theoretical understanding with practical implementation. His recent focus on smart systems standardization reflects his ability to identify and address emerging challenges in the field.
Felix Bönisch is a PhD Candidate at the Berlin School of Economics (BSE) and a Research Fellow in the Market Behavior research unit at the WZB Berlin Social Science Center . He works at the intersection of behavioral economics and computational decision-making.
Isabel Nha Minh Le is a Researcher and doctoral candidate in the Quantum Computing Group under Prof. Mendl at the Technische Universität München (TUM). She holds a B.Sc. and M.Sc. in Physics from RWTH Aachen University, specializing in Quantum Technologies. Her research focuses on quantum algorithms for quantum chemistry, tensor network methods, and quantum machine learning. She teaches tutorials and seminars on quantum computing and ethics. Her work includes advancements in Riemannian quantum circuit optimization and symmetry-invariant quantum ML force fields, presented at conferences such as ICFO-IMPRS Joint Workshop and APS Global Summit. She is affiliated with the Department of Computer Science at TUM School of CIT, with an office at SAP Labs Munich. Education: B.Sc. in Physics, RWTH Aachen University M.Sc. in Physics, RWTH Aachen University Research Interests: Development of quantum algorithms for simulating complex quantum systems Integration of tensor networks and machine learning for quantum simulation Optimization techniques for quantum circuits Teaching Roles: Tutorial Leader: Introduction to Quantum Computing (2023–2025) Seminar Leader: Advanced Topics of Quantum Computing (2023–2025) Seminar Leader: Science & Ethics (2024–2025) Labs/Teams: Member of the Quantum Computing Group at TUM, collaborating with Prof. Mendl's team on quantum algorithms and applications.
Prof. Can Adam Albayrak is a Professor of Business Information Systems at the Department of Automation and Computer Science, Harz University of Applied Sciences. He holds a doctorate in Natural Sciences from RWTH Aachen University and has extensive industry experience, including roles at Deutsche Post and DHL. His research focuses on IT management, IT controlling, strategic IT planning, and organizational design. He is a key contributor to frameworks like StratIT and actively participates in academic committees, including the German Informatics Society’s (GI) executive committee for IT Controlling. He teaches IT management and business informatics, emphasizing practical application through industry collaboration. His work bridges academic research and industry needs, addressing challenges in digital transformation, agile methodologies, and SME IT strategies. Education: Doctorate in Natural Sciences (RWTH Aachen), Computer Science degree Professional Experience: Over 25 years in IT strategy roles, including leadership at Deutsche Post and academic roles since 2006 Committees: Member of GI’s Strategic Information Management and Business Informatics working groups His research spans IT governance, agile practices, ethical digitization, and KMU preparedness. He is the author of numerous publications and a sought-after advisor on IT strategy and digital transformation.
Jonas Rieskamp serves as a Researcher at the Chair of Business Informatics, especially AI Engineering in Business within the Faculty of Business Information Systems and Applied Computer Science at Otto-Friedrich University Bamberg, contributing to research and teaching since March 2022. Education: Bachelor's in Business Informatics, South Westphalia University of Applied Sciences (2018) Master's in Business Informatics, University of Paderborn, specializing in machine learning for computational linguistics His research centers on social media polarization and digital disinformation , employing social media analytics and artificial intelligence to investigate societal phenomena. As a key contributor to the PREVENT project, he develops countermeasures against disinformation campaigns using AI-driven agent-based modeling while exploring generative AI applications in crisis communication and virtual work environments. Publications from 2022-2025 reveal consistent focus on platform-specific disinformation dynamics (Twitter/Telegram), conversational agents in healthcare/open science ecosystems, and ethical AI deployment in hiring processes, with emerging work on social bot interventions during natural disasters. Jonas supervises Bachelor's and Master's theses across AI Engineering and Digital Innovations courses while actively teaching in both programs. He maintains affiliation with Prof. Dr. Milad Mirbabaie's research team at Gutenbergstraße 13, Room GU13/03.04b.
Armin Beverungen is Professor for the Sociology of Organisation and Economy at Leuphana University Lüneburg and an associated member of the Centre for Digital Cultures. His academic work spans sociology, organization studies, media studies, and science and technology studies, with a particular focus on the intersections between digital technologies and organizational forms. Dr. Beverungen received his PhD in critical management studies from the University of Leicester. His academic journey includes research and teaching positions at the University of the West of England, Leuphana University, and the University of Siegen. From September 2022 to August 2023, he was on leave at Leuphana and served as a visiting professor at the Institute for Media Studies at Ruhr-University Bochum. He also regularly teaches in the technologies section of the contextual studies program at the University of St. Gallen. His research interests center on digital (media) technologies and organization; algorithmic management, automation and artificial intelligence; and smart, logistical cities. He has made significant contributions to understanding the financialization of universities, corporate governance, business ethics, and the politics of labor. His work critically examines how digital platforms, particularly Amazon, reshape urban spaces, labor relations, and organizational forms. Beverungen has been instrumental in establishing the Centre for Digital Cultures at Leuphana over the past decade, which has expanded his research to engage more deeply with media studies and science and technology studies. Dr. Beverungen's recent publications reveal a consistent focus on the organizational implications of digital technologies, particularly examining Amazon's logistical operations and urban interventions. His work demonstrates interdisciplinary reach, connecting sociology, media studies, urban studies, and organizational theory. A significant portion of his research analyzes how algorithmic systems reshape labor, urban space, and organizational forms, with particular attention to the political dimensions of these transformations. Member of editorial collective of 'ephemera: theory & politics in organization' (10 years) Founding editor of 'spheres: Journal for Digital Cultures' Founding editor of 'Digital Cultures' book series Associate editor of 'Organization: the critical journal of organization, theory and society' At Leuphana, Dr. Beverungen serves as deputy director of the MA program in Cultural Studies: Culture and Organization, and is a member of the study commission for MA programs in the Faculty of Humanities and Social Sciences. He regularly supervises BA and MA theses and is available for PhD supervision. His current research is supported by two major projects: 'Automating the Logistical City: Space, Algorithms, Speculation' (Volkswagen Foundation) and 'Smartness as Wealth' (Volkswagen Foundation). Dr. Beverungen has been involved with the Digital Cultures Research Lab (2017-2022) and continues to contribute to digital culture studies at Leuphana University. His interdisciplinary approach bridges sociology, media studies, and organization theory, creating innovative frameworks for understanding contemporary digital transformations.
Dr. Jacob Kauffmann is a Postdoctoral Researcher at the Technical University of Berlin, specializing in research areas such as Unsupervised Learning, Explainable AI, and Anomaly Detection. His work focuses on enhancing model interpretability in unsupervised techniques and uncovering biases like the Clever Hans effect in machine learning systems. Education: M.Sc. Computer Science, Technische Universität Berlin (2017) Research Interests: Jacob’s research bridges theoretical foundations and practical applications of explainable AI (XAI) in unsupervised learning. He investigates clustering explanations, anomaly detection mechanisms, and kernel-based methods to improve model transparency. His recent work explores dataset shifts via Wasserstein distances and neural network-driven cluster analysis. Publications: Dr. Kauffmann’s articles emphasize XAI advancements, such as explainable anomaly detection and model bias analysis. Key themes include algorithmic transparency, dataset transport phenomena, and deep learning applications in unsupervised tasks. Advising & Grants: No formal advisees listed. Research supported by grants related to XAI and unsupervised learning methodologies (specific grants not detailed).
Thomas Schnake is a postdoctoral researcher at the Machine Learning Lab of the Technical University of Berlin and the Berlin Institute for the Foundations of Learning and Data (BIFOLD). He holds a Ph.D. in Machine Learning from TU Berlin and prior degrees in Mathematics and Scientific Computing from Humboldt University of Berlin. His research focuses on Explainable AI (XAI), Natural Language Processing, and the mathematical foundations of machine learning. He has also gained industry experience at ebuero AG and GFaI e.V. in Berlin. Education: B.Sc. Mathematics & Philosophy, Humboldt University Berlin (2014) M.Sc. Mathematics, Humboldt University Berlin (2018) M.Sc. Scientific Computing, Technical University Berlin (2018) Ph.D. Machine Learning, Technical University Berlin (2024) Research Interests include: Explainable AI for complex domains like quantum chemistry and histopathology Graph neural network interpretability through walk-based explanations High-resolution data synthesis with minimal input Unsupervised anomaly detection in text and energy systems His recent publications (2021-2025) demonstrate contributions to XAI frameworks, graph neural network explanations, and transformer model interpretability. He is affiliated with two prominent institutions and maintains active research in interdisciplinary areas combining mathematics and machine learning.
Prof. Dr. Gordon Pipa is Chair of Neuroinformatics at the Institute of Cognitive Science , Osnabrück University , Germany. He leads research in computational neuroscience, machine learning, and human-machine interaction. Habilitation (2010, Biology, TU Darmstadt) PhD (2006, Neural Information Processing, TU Berlin) Diploma (2002, Physics, Goethe University Frankfurt) His research spans spiking neural networks , epileptic seizure prediction , and neural synchrony , with recent work on autonomous vehicle ethics and mobile EEG systems. Notable awards include the Best Innovation Award (2015) and recognition at Jugend Forscht (1995-1996). Key publications analyze: 2025: Recurrent networks for familiarity decoding 2024: Spike synchrony in Gestalt perception 2023: Embodied learning in ANNs 2021: REM sleep communication He advises students in neuroinformatics and cognitive science, with lab members listed in the institute directory.
Claudia Dreyer is a Professor at the University of Augsburg, holding the Chair for Human-Centered Artificial Intelligence within the Faculty of Applied Computer Science and the Institute of Computer Science. Her research focuses on integrating human-centered approaches into AI systems, emphasizing ethical considerations, user interaction, and cognitive compatibility. She leads a multidisciplinary team including researchers such as Dr. Georgiana Cristina Dobre, Dr. Carlos Gonzalez Diaz, and others. Her contact details include: Phone +49 821 598 - 2341, Fax +49 821 598 - 2349, and office hours Monday-Thursday 9am-2pm in room 2036 (N) at Universitätsstraße 6a, 86159 Augsburg. Her team includes current members like Dr. Michael Dietz, Dr. Matthias Kraus, and PhD candidates such as Marius Funk and Shuyuan Shen, reflecting a dynamic research environment. Former staff and guest researchers further highlight collaborative efforts in advancing human-centered AI technologies.
