Claus Brabrand is a Professor of Software Engineering and Head of the Center for Computing Education Research at the IT University of Copenhagen. His research focuses on computing education, gender diversity in STEM, and software product line analysis. He has led projects like DIREC (Digital Research Centre Denmark) and ATTiKA (Adaptive Tools for Technical Knowledge Acquisition), funded by the Innovation Fund Denmark and Villum Foundation. PhD in Computer Science Over 45 publications in computing education and software engineering Active in curriculum development and educational policy Research interests include improving teaching quality through learning technologies, gender representation in IT materials, and cognitive competencies in programming education. His work bridges software engineering principles with pedagogical innovations, addressing issues like novice programmer performance and curriculum design.
Claus Brøndgaard Madsen is an Associate Professor in the Department of Architecture, Design and Media Technology at Aalborg University, under The Technical Faculty of IT and Design. He is based at Campus Aalborg and is affiliated with the Computer Graphics Group and VR Light research environment. His work bridges computer vision, virtual reality, and architectural design, with a strong focus on real-time visualization and human interaction in digital environments. Research Interests: His primary research areas include Computer Vision , Virtual Reality (VR) , Augmented Reality (AR) , 3D Reconstruction , Structure-from-Motion (SfM) , and Image-Based Lighting . These are applied in industrial VR, urban design evaluation, and sensory augmentation systems. His research fingerprint highlights strong engagement with Virtual Reality (100%), Augmented Reality (71%), Illumination Conditions (41%), and Wind Turbine Engineering (28%). The recent publications (2023–2025) reflect a consistent trend in enhancing user experience in VR/AR environments, with emphasis on spatial cognition, locomotion techniques, exposure control, and machine learning integration for lighting classification and part direction prediction in industrial contexts. These works are published in top-tier conferences such as EG, GRAPP, WACV, and CAADRIA. Scientific Awards: No specific awards or fellowships are mentioned in the provided text. Advising and Grants: Madsen has supervised PhD students and served as a supervisor in research projects like AAIVR. He is Principal Investigator (PI) in multiple funded projects, including BUMUS: Sustainable Expansion of Mussel Production (2024–2027), CityVR: Evaluating Parametric City Designs in VR (2020–2022), and V-BRT: Virtual Bus Rapid Transit (2019). These projects reflect substantial grant acquisition and leadership in applied VR research. Labs and Research Groups: He is a key member of the Computer Graphics Group and VR Light at Aalborg University, which focus on real-time visualization, lighting techniques, and immersive technologies for industrial and architectural applications.
Søren Overgaard is an Associate Professor at the Department of Communication , Faculty of Humanities , University of Copenhagen, and a core member of the Center for Subjectivity Research . His work bridges phenomenology , philosophy of mind , and metaphilosophy , with a focus on perceptual experience, intersubjectivity, and metaphilosophical methodology. Areas of Specialization : Philosophy of Mind (Perception, Social Cognition), Phenomenology, Metaphilosophy, Wittgenstein Studies Education : PhD in Philosophy (2002, University of Aarhus), MA in Philosophy (1998), BA in Philosophy (1996) Research Interests center on perceptual experience , including disjunctivism, naive realism, and the phenomenology of hallucination/illusion. He integrates Husserl’s phenomenology , Merleau-Ponty’s embodiment theories , and Wittgenstein’s ordinary language philosophy to address questions about consciousness, social cognition, and the nature of philosophical methodology. Recent Publications include peer-reviewed articles on perceptual occlusion, backlighting, and the vertical-horizontal illusion in journals like Synthese , Mind , and Erkenntnis , as well as chapters in edited volumes on empathy, enactivism, and phenomenological approaches to psychopathology. His authored books include En verden af indtryk (2023) and An Introduction to Metaphilosophy (2013), translated into Korean and Turkish. Scientific Awards : 2020: Einar Hansen’s Research Foundation Prize for Outstanding Humanistic Research (SEK 150,000) Grants include a 2024-26 6,183,000 DKK grant from the Independent Research Fund Denmark for Mapping Perceptual Presence , and prior grants from the Danish National Research Foundation, Research Councils UK, Carlsberg Foundation, and others. Leadership and Service roles: Deputy Head of Department for Research (2024–), Director of the MA Programme in Cognition and Communication (2020–2022), President of the Nordic Society for Phenomenology (2017–2023), and editorial roles for journals and book series like Routledge Research in Phenomenology .
Tobias Langlotz is a Professor at the Department of Computer Science, Aarhus University. His primary research focuses on Visual Computing, Augmented Reality, Virtual Reality, Human-Computer Interaction, and Augmented Human applications. He explores advanced vision augmentations and wearable technologies to enhance human perception and interaction with digital environments. His recent work emphasizes understanding visual discomfort in augmented reality systems, developing novel display technologies for mixed reality, and refining presence measurement methodologies in virtual environments. Key contributions include studies on presence questionnaires, neural rendering techniques, and hybrid layered displays. No scientific awards are explicitly listed in the provided materials. His research publications primarily address technical challenges in AR/VR systems and human-centric design principles. No advising or grant information is available in the current text. His work contributes to both academic and applied aspects of augmented and virtual reality technologies.
Henriette Steiner serves as Professor and Head of Section in the Section for Landscape Architecture and Planning and Society within the Department of Geosciences and Natural Resource Management at the University of Copenhagen's Faculty of Science. She previously held research positions at ETH Zurich and visiting professorships at MIT, BOKU Vienna, and the University of Geneva, establishing her as a leading international scholar in architectural history and spatial justice. Her educational background includes a PhD in Architecture from the University of Cambridge (2008) following five years as a Research Associate at ETH Zurich. Key appointments demonstrate progressive leadership: co-founder of the Department's Diversity Committee, PhD Coordinator for Landscape Architecture, Head of Studies during the coronavirus pandemic, and current elected member of the Faculty of Science PhD Committee. Steiner's research critically examines how historical structures—morals, ethics, politics, and cultural practices—shape built environments, with urgent focus on climate change, inequality, and pandemic recovery. Her work champions interdisciplinary collaboration and inclusive methodologies , particularly through recovering women's contributions to Danish architecture 1925–1975. Recent trends reveal expanding scope from architectural philosophy ( Tower to Tower , 2020) to pandemic-era spatial analysis ( Touch in the Time of Corona , 2021) and equity-focused urban futures ( Just Cities , 2025). Senior Scholar Fellowship, American Society for Architectural Historians Carlsberg Foundation Monograph Fellowship Faculty of Science Award for Research Communication (2024) Diversity Award nomination, Danish Foundation for Entrepreneurship (2023) As an academic leader, Steiner co-founded the Intersect community fostering arts-humanities-social sciences-design collaboration, and co-leads two major grants: Stories from Sofiegården (Augustinus Foundation) documenting alternative Copenhagen living arrangements as cultural heritage, and Learning from Collaboration (Realdania) building future design practices. Her current Women in Danish Architecture 1925–1975 project (2020–2025) has produced the award-winning Untold Stories monograph and digital exhibitions reclaiming women's architectural legacy. Steiner directs the Section's research ecosystem through inclusive team structures like the Women in Danish Architecture collective—comprising architectural historians, communications specialists, and visual designers—who actively dismantle 'lone genius' narratives through collaborative knowledge production.
Brooks Alexandra Kaiser is a Professor at the University of Southern Denmark, affiliated with the Department of Business and Sustainability at IEB Esbjerg, the European Center for Risk and Resilience Studies, and the SDU Climate Cluster. Her work bridges economics and environmental science, focusing on long-term socio-ecological transformations. PhD in Economics, Northwestern University, 1998 Tenured positions at Gettysburg College (USA) and University of Southern Denmark Visiting positions at University of British Columbia and University of Hawaii Her research centers on environmental and resource economics, particularly marine invasive species, Arctic socio-ecological systems, fisheries management, and climate change impacts. She employs bio-economic modeling to analyze how trade, technology, and policy affect marine resource use and conservation. Her recent work examines the snow crab invasion in the Barents Sea, economic costs of invasive species, and sustainable Arctic tourism. The 15 most recent publications reflect a strong trend in Arctic and marine environmental economics, with a focus on invasive species, fisheries governance, climate adaptation, and nature-based solutions. Her interdisciplinary approach integrates economics, ecology, and policy. Scientific recognitions include: Fellow of the Polar Research and Policy Initiative (UK) SCC Fast Track award (November 2024) She actively supervises PhD students, including M. Kourantidou, and has contributed to major research projects on climate adaptation, risk management, and Arctic sustainability. Her editorial roles include peer reviewer for Ecological Economics and People and Nature . She leads or co-leads several ongoing projects such as ARE BEST NbS and the SCC Elite Centre, demonstrating sustained research leadership and funding success. Kaiser is involved in multiple interdisciplinary research teams, including Landscape Imaginaries and the European Marine Research Network (Euromarine), and contributes to public discourse through media engagements on marine policy and climate change.
Professor Daniel S. Hain is an Associate Professor at Aalborg University Business School, part of Aalborg University's Faculty of Social Sciences and Humanities. He is affiliated with the IKE Research Group (AI for the People) and the MASSHINE Cluster for Research on Innovation and Development. His research focuses on innovation dynamics, artificial intelligence, network analysis, and technology forecasting. Hain has been actively involved in strategic initiatives such as the Danish Industry Foundation's AI Denmark program and the Generative Ethnographic AI (GE-AI) seed project, demonstrating his commitment to advancing AI applications in societal contexts. His work bridges academic research with practical industry challenges, particularly in areas like patent analytics (e.g., Patentsberta model), renewable energy innovation, and global venture capital patterns in developing economies. Hain has received the OECD IPSDM “Big Data Analytics” Challenge award (2018) for collaborative research on inventive activity visualization. He contributes to policy discussions on AI governance, the privatization of research talent, and regional green technology development. Key projects include the Danish Research Unit for Industrial Dynamics (DRUID) since 1995, exploring innovation systems, and the EIS project on energy innovation competitiveness. Hain’s recent focus on generative AI ethics and SME predictive analytics reflects his dual expertise in technical methodologies and socio-economic impacts.
Anna Anikina is a PhD Fellow at the Department of Computer Science (DIKU), University of Copenhagen, affiliated with the Image Analysis, Computational Modelling and Geometry section. Her research focuses on applying artificial intelligence and machine learning to analyze eye-tracking data for predicting radiological diagnostic errors. Current position: PhD Fellow in Image Analysis and Computational Modelling University: University of Copenhagen Department: Image Analysis, Computational Modelling and Geometry Anna’s work spans Medical Imaging , Eye Tracking , and Transformers for diagnostic error prediction, as well as Latent-Space Modelling in reinforcement learning systems. Her recent publications highlight applications of Graph Neural Networks and Multi-Agent Systems to biomedical image analysis and visual data processing. Her research outputs include four peer-reviewed publications (2023–2025) addressing radiological decision errors through gaze analysis and advanced machine learning architectures. Collaborations with researchers like B. Ibragimov, C. Mello-Thoms, and others demonstrate her focus on AI-driven healthcare solutions.
Ivan Adriyanov Nikolov is an Assistant Professor at the Department of Architecture, Design and Media Technology within Aalborg University's Technical Faculty of IT and Design. He specializes in Computer Graphics, Computer Vision, and Augmented Reality, with a focus on 3D reconstruction techniques like Structure-from-Motion (SfM). His work bridges academic research and industrial applications, particularly in wind turbine blade inspection and educational technology. His educational background includes contributions to computer science education through innovative teaching methods. He has led projects like 'Drone Application for Pioneering Reporting in Wind Turbine Blade Inspection' (2017–2019) and 'Leading Edge Roughness - Wind Turbine Blades' (2015–2019), advancing drone-based inspection and 3D modeling for wind energy sectors. Research interests include synthetic data generation, environmental monitoring datasets (e.g., BrackishMOT, DigiWeather), and improving VR/AR user experiences. He has developed tools for dynamic lighting in pixel art games and multimodal guardian systems in VR. His datasets, such as Sewer Defect Point Clouds and Wind Turbine Blade SfM Reconstructions, are publicly available for academic use. He actively contributes to educational innovation, such as flipped classroom strategies to boost programming class engagement. His interdisciplinary approach spans computer graphics, AI-driven NPC interactions, and collaborative mixed-reality games for trust-building. Labs/Teams: Member of the Computer Graphics Group and Visual Analysis and Perception team at Aalborg University. Collaborates with industry partners on drone technology and environmental surveillance systems.
Markus Strohmaier is Professor and Chair of Data Science in the Economic and Social Sciences at the University of Mannheim, with affiliations as Scientific Coordinator at GESIS – Leibniz Institute for the Social Sciences and External Faculty Member at the Complexity Science Hub Vienna. His interdisciplinary work bridges computer science, economics, and the social sciences. University of Mannheim – Chair for Data Science in the Economic and Social Sciences GESIS – Scientific Coordinator for Digital Behavioral Data Complexity Science Hub Vienna – External Faculty Former Professor at RWTH Aachen University and University of Koblenz-Landau Previous Post-Doc and Visiting Roles at Stanford University, Xerox PARC, University of Toronto, and Graz University of Technology His research focuses on computational social science , algorithmic fairness , network science , and the modeling of human behavior using machine learning and large-scale data. He develops methods to analyze textual, relational, and emerging data types to understand socioeconomic systems and digital societies. The recent articles reflect a strong trend in studying inequality in algorithmic systems , governance in decentralized organizations (DAOs) , and psychological profiling of AI . His work spans high-impact journals like Nature and Scientific Reports , emphasizing fairness, transparency, and societal impact of data-driven technologies. Notable scientific contributions include: Editor-in-Chief of EPJ Data Science (2018–2022) Founding co-chair of the Computational Social Science section of the German Informatics Society He advises students and leads research projects on algorithmic fairness, digital governance, and behavioral modeling. His team engages in both fundamental methodological development and applied studies in real-world digital platforms. He has been involved in significant grants and collaborative initiatives around digital behavioral data and computational social science infrastructure. His lab and projects include the Algorithmic Fairness initiative and the interactive visualization tool Planets of Disparity , which explores how algorithms behave on different network structures. These efforts aim to enhance public understanding and technical scrutiny of algorithmic systems.
Anders Kristian Munk is a Professor at DTU Management, Technical University of Denmark, based in the Department of Technology, Management and Economics within the Division for Technology and Business Studies. His research focuses on the critical intersection of technology and society through Science and Technology Studies (STS) and advanced digital methodologies. His primary research domains include: Generative AI integration in social research Digital methods development (notably data sprints) Controversy mapping of sociotechnical issues Computational ethnography and network analysis Critical examination of data imaginaries Urban studies through computational visual methods Recent publications (2023-2025) demonstrate a strategic pivot toward generative AI applications, with significant contributions in developing AI-native research frameworks like synthetic interlocutors and irreductionist mapping. His work uniquely bridges STS theory with practical tool development, exemplified by Gephisto for critical network analysis. Key application areas span public health (e.g., inflammatory bowel disease trend analysis in Africa), cultural industries (film audience analytics), and urban studies (pandemic place attachments). Prof. Munk co-developed the data sprint methodology for collaborative controversy mapping and has contributed to major projects including Climaps and EMAPS. His interdisciplinary approach combines social science rigor with computational innovation through partnerships across computer science, design, and domain-specific fields. Current work emphasizes ethical AI integration and methodological adaptation for complex sociotechnical challenges.
Emanuela Marchetti is an Associate Professor at the Department of Mathematics and Computer Science , University of Southern Denmark. Her work bridges STEAM education, computational thinking, and playful learning methodologies. Key research areas: Data Privacy in Education, Human-Robot Interaction, Transmedia Literacy Projects: Taxonomies (2025), SPADATAS Handbook (2025), LabSTEM (2020-2022) Research Interests focus on integrating creativity into STEM through art-science collaborations, as seen in the Taxonomies project. Her recent work explores GDPR education via game design, AI's role in co-creative learning, and social robotics for welfare contexts. Publication Trends show interdisciplinary exploration of data fragility, digital tools for education, and ethical technology design. Articles span computational thinking through card games, AI emotion-based assessment, and GDPR gamification. Contact: emanuela@sdu.dk | Phone: 65 50 10 36
Patrizia Paggio serves as an Associate Professor and Senior Researcher within the Department of Nordic Studies and Linguistics at the University of Copenhagen's Faculty of Humanities, concurrently holding a full professorship at the University of Malta's Institute of Linguistics and Language Technology since September 2011. Her scholarly work centers on the intricate relationship between verbal and nonverbal communication modalities, with international recognition for advancing methodologies in multimodal analysis. Academic Background: PhD in Computational Linguistics from the University of Copenhagen (1997), dissertation: "The Treatment of Information Structure in Machine Translation" Professor Paggio's research program investigates how gestures, head movements, and other nonverbal cues interact with spoken language to construct meaning in natural communication. She has pioneered methodologies for constructing and analyzing multimodal corpora, while maintaining technical expertise in machine translation systems, grammar engineering, and content-based querying frameworks. Her theoretical work spans formal syntactic structures, discourse phenomena, information packaging, and ontological representations for linguistic data, consistently bridging computational methods with linguistic theory. Analysis of her recent publications (2020-2025) reveals a sustained focus on computational approaches to nonverbal communication, particularly the automatic detection and annotation of head movements and gestures in both physical and digital environments. Key contributions include the GEHM Zoom corpus for online interaction analysis, eye-tracking studies of emoji processing, and diachronic modeling of historical language change. Her work strategically integrates eye-tracking, corpus linguistics, and machine learning techniques, establishing her at the convergence of linguistic theory, cognitive science, and artificial intelligence applications. Professional Leadership: Coordinator of the international GEHM (Gestures and Head Movements in Language) research network Organizer of MULTIMODAL CORPORA 2018, 4th European/Nordic Symposium on Multimodal Communication, and LREC2022 Workshop on People in Vision, Language and the Mind
Jacob Nielsen is an Associate Professor at the SDU Metaverse Lab, affiliated with the Maersk Mc-Kinney Moller Institute at the University of Southern Denmark. His research spans robotics, audiometry, and educational technology, with a focus on user-centered design and accessibility. Current Role: Associate Professor, SDU Metaverse Lab Key Themes: Modular Robotics, Human-Robot Interaction, User-Operated Audiometry His recent work emphasizes democratizing audiometric testing through smartphone applications and self-administered methods, while earlier contributions include educational robotics frameworks for children and rehabilitation systems using industrial robots. Collaborations extend to clinical audiology and STEM engagement projects in Africa. 2024-2025: 5 publications in user-operated audiometry and hearing aid calibration 2017-2020: TEDx talks and youth robotics programs in Denmark Jacob actively contributes to public discourse through 51 media appearances, including discussions on social innovation, robotics in education, and Denmark’s future technologies.
Mohammad Naser Sabet Jahromi is an Assistant Professor at the Department of Architecture, Design and Media Technology, Aalborg University, Denmark. He is affiliated with the Visual Analysis and Perception Centre for AI Ethics, Law and Policy. His research focuses on explainable AI (XAI), biometrics, machine learning, and ethical AI applications in legal and medical domains. He actively participates in interdisciplinary projects like REPAI: Responsible AI for Value Creation (2023-2027), which explores AI ethics, computational discourse analysis, and value-driven AI systems. His educational background is not explicitly detailed in the provided text, but his research trajectory indicates strong expertise in computer science and AI systems. Key research interests include interpretable machine learning models, privacy-preserving biometric systems, and AI applications in asylum adjudication and educational assessment. Recent work emphasizes developing XAI frameworks like SIDU-TXT for NLP, verifying machine unlearning mechanisms, and automating large-classroom assessments. His projects bridge technical AI advancements with societal implications through collaborations with legal and ethical scholars. Notable contributions include datasets evaluating XAI methods in medicine and methodologies for transparent AI decision-making. He has participated in conferences such as ICPR 2024 and JURISIN 2023, showcasing interdisciplinary research impact.
