Trine Rask Nielsen is a researcher at the Department of Computer Science , University of Copenhagen , affiliated with the Human-Centred Computing section and the Confronting Data Co-lab . Her work bridges Computer-Supported Cooperative Work (CSCW) and Critical Data Studies , focusing on how data shapes asylum decision-making practices. Research Interests: Ethnographic analysis of data practices in asylum systems, digital governance, refugee agency, and ethical prototyping. Awards: 2023 David B. Martin Award 2020 award for fictional app design Collaborations: Works with cross-disciplinary teams and external partners in Denmark and internationally. Her publications examine datafication processes, algorithmic transparency, and participatory approaches in asylum casework, emphasizing ethnographic insights and critical design interventions.
Thomas Mosebo Simonsen is an Associate Professor in the Department of Communication and Psychology at Aalborg University's Faculty of Humanities and Social Sciences. His academic work centers on digital media, media production, and film studies, with particular expertise in user-generated content, platform aesthetics, and cinema space in digital culture. His research interests span multiple domains including digital media platforms , media aesthetics , film studies , user-generated content , and cultural industries . Simonsen examines how digital platforms shape production forms and user experiences, with special attention to YouTube culture as evidenced by his 2023 book of the same name. His work bridges academic research and industry practice, leveraging his background in production to connect university teaching with business applications. Analysis of Simonsen's recent publications reveals a consistent focus on the intersection of traditional media and digital platforms. His work examines how cinema adapts to digital culture, how sustainability apps are domesticated in everyday life, and how Korean film influences global media landscapes. A recurring theme is the relationship between platform affordances and user creativity, particularly in social media contexts like YouTube where authenticity and direct audience connection drive engagement. As an educator, Simonsen oversees the Media Studies minor program and teaches across multiple degree programs including Communication and Digital Media, and Interactive Digital Media. His teaching spans media production, film analysis, digital platforms, and cultural industries. Administratively, he serves as subject consultant for Media Studies, editor for the Media and Communication Encyclopedia, and subject manager at Denmark's National Excise Department LEX. His research projects include "Analysis of digital phenomena" (2018-2023), "Computational Thinking" (2018), and ongoing work on cinema space in digital content culture. Simonsen actively contributes to public discourse through media appearances, recently discussing YouTube culture, Mister Beast's philanthropic content model, and the Korean Wave's global impact.
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.
Henrik Schønau Fog is an Associate Professor and Deputy Head of Department at Aalborg University's Department of Architecture, Design and Media Technology, part of The Technical Faculty of IT and Design. His research focuses on interactive storytelling, game design, and educational technology, with a particular emphasis on adaptive narratives, player engagement, and serious games. He leads initiatives such as the Center for Applied Game Research (CEAGAR) and the SMILE Lab, exploring real-time filmmaking, virtual reality, and gamification in education. His work bridges theory and practice, addressing challenges in interactive media, climate awareness through games, and improving learning outcomes via purposive game development. Key projects include AGAVE (AI-Driven Game Adaptation for Virtual Environments) and ViZARTS (Visualization and Adaptive Real-Time Storytelling). Fog has authored over 60 publications, with notable contributions in adaptive narratives, emotional response analysis, and educational game frameworks. He has received prestigious awards, including Best Paper recognitions at HCI in Games and Interactive Storytelling conferences. His teaching portfolio emphasizes problem-based learning and hybrid educational models, fostering technical and collaborative skills through game development courses. Fog collaborates internationally, engaging with institutions like Arizona State University and contributing to media innovations showcased in film, virtual reality, and interactive installations. His research also extends to measuring workplace well-being via wearable technology and enhancing museum experiences through immersive VR interfaces.
Line Katrine Harder Clemmensen is a Professor at the Department of Mathematical Sciences, University of Copenhagen. She specializes in statistical modeling, machine learning, and AI, with emphasis on low resource domains, explainability, and fairness in health/life science applications. She co-founded Interhuman AI as Chief Scientific Officer and maintains an active research program across multiple disciplines. Statistical Modeling Machine Learning Explainable AI Fairness in AI Health/Life Science Applications Her recent publications (2024-2025) span computational biology, neuroscience, environmental science, and emotion recognition. Notable collaborations include interdisciplinary work in pediatric OCD analysis, fungal microbiome prediction, and facial emotion recognition systems. She actively explores fairness and scalability in AI models. Dr. Clemmensen holds 60 publications with significant impact across computational biology (40+ citations), neuroscience (68+ readers), and machine learning (20+ Scopus citations). She has been referenced in news outlets, blogged, and discussed across multiple social platforms.
Ole Madsen is a Professor at the Department of Materials and Production within The Faculty of Engineering and Science at Aalborg University . His research focuses on Robotics and Automation , particularly in 5G Smart Production , AI for Manufacturing , and Industry 4.0 applications. He also holds a part-time position at Adding Robotics , applying his expertise in robot integration for industrial and healthcare settings. Research Interests : Robotics, Automation, AI, Sensor Systems, Modular Manufacturing, Welding Technology, Digital Twins, Human-Centered Robotics, Industry 4.0 His work spans 35+ years with over 205 publications , emphasizing smart production systems and robot-assisted processes . Key contributions include Swarm Production Architectures , 5G-Enabled Robotics , and Human-Robot Collaboration frameworks. He has supervised 10 PhD students and led major projects like RAU (Robot-Assisted Ultrasound) and GINP: Robotics & AI Innovation Network . Scientific Awards : SCAP2020 Best Presentation Award (2020) Ole's 31 projects include AP2030: Aseptic Factory 2030 (pharma production), AddSmart (robotics R&D), and 5G-Enabled Autonomous Systems . His 127 press/media mentions highlight advancements in robotic welding , industrial metaverse , and swarm production . He maintains an ORCID: 0000-0003-2133-2541 with extensive publication records across Swarm Robotics , Modular Manufacturing , and AI-Driven Production .
Anne E. B. Nielsen serves as an Associate Professor in the Department of Physics and Astronomy at Aarhus University, Denmark, where she leads the Quantum Many-Body Systems Group. Her research program focuses on quantum many-body phenomena with particular emphasis on topological effects, non-thermal behavior, and quantum systems on non-periodic structures. The group's work is currently supported by the Novo Nordisk Foundation, reflecting the significance and impact of their research in the field of theoretical condensed matter physics. Dr. Nielsen's research interests span several interconnected themes in quantum physics. Her work on topology examines how quantum systems behave on fractal lattices and quasicrystals, demonstrating that phenomena like the fractional quantum Hall effect can occur beyond traditional two-dimensional spaces. In non-thermal physics, she investigates quantum many-body scars and many-body localization, exploring systems that violate the eigenstate thermalization hypothesis. Her group has made significant contributions to understanding anyons as probes of topological phase transitions and has developed novel approaches to constructing fractional quantum Hall models on lattice systems. Additional research explores ultracold atoms in optical lattices as experimental platforms for implementing topological models. Analysis of her recent publications reveals a strong focus on quantum scars and their phase transitions, topological phenomena in non-periodic structures, and the interplay between localization and thermalization in quantum many-body systems. Her work consistently bridges theoretical developments with potential experimental implementations, particularly through connections to ultracold atom systems and quantum computing platforms. Dr. Nielsen actively supervises researchers at multiple levels, including postdocs, PhD students, master's students, and bachelor's students. Her group maintains collaborations with researchers internationally, as evidenced by the network visualization of recent external collaborations. The group provides opportunities for students at various academic levels to engage in cutting-edge research in quantum many-body physics. The Quantum Many-Body Systems Group maintains a specialized research focus on five main areas: topology on fractal lattices and quasicrystals, nonthermal quantum systems, anyons, fractional quantum Hall models on lattices, and ultracold atoms in optical lattices. This structured approach allows for deep investigation of interconnected phenomena while maintaining clear research directions within the broader field of quantum many-body physics.
Mojtaba Zarei is a researcher at the Department of Clinical Research, Faculty of Health Sciences, University of Southern Denmark, with additional affiliations at Odense University Hospital (OUH) and Karolinska Institutet (KI). His primary research unit is the Neurology Research Unit in Odense, focusing on advanced neuroimaging techniques and their applications in neurological and sleep disorders. Dr. Zarei's research spans multiple domains within neuroscience, with particular expertise in Positron Emission Tomography (PET), Diffusion Tensor Imaging (DTI), and cognitive function assessment. His work frequently addresses Alzheimer's Disease, Parkinson's Disease, and insomnia disorders, utilizing both clinical and computational approaches. His fingerprint analysis shows strong activity in neuroscience (100% for PET), diffusion tensor imaging (66%), cognitive function (45%), and Alzheimer's Disease (40%). His recent publications reveal a clear trajectory toward integrating multimodal imaging techniques with machine learning approaches for improved diagnosis and understanding of neurological conditions. The work on OPETIA (Odense-Oxford PET Image Analysis) demonstrates his contribution to developing standardized tools for neuroimaging analysis. His research increasingly bridges computational methods with clinical neuroscience, as evidenced by his work on image stitching algorithms and machine learning applications for insomnia classification. Dr. Zarei actively collaborates with researchers across multiple institutions, with notable external collaborations visible on the international network map. His work has been mentioned by peer review sites, picked up by news outlets, and shared across social media platforms, indicating growing impact in his field. Within his research unit of Neurology in Odense, Dr. Zarei appears to be part of a multidisciplinary team working at the intersection of clinical neurology, advanced imaging, and computational analysis, contributing to both methodological development and clinical applications of neuroimaging techniques.
Peter C. Petersen is an Associate Professor in the Department of Neuroscience within the Faculty of Health and Medical Sciences at the University of Copenhagen. Holding a Civilingeniør (MSc) in Technical Physics from DTU and a PhD in Neuroscience, he specializes in systems-level neural mechanisms using electrophysiological approaches. His educational background includes: Civilingeniør (MSc) in Technical Physics, DTU PhD in Neuroscience Petersen's research focuses on neural dynamics in memory and motor systems, combining in vivo electrophysiology with computational modeling. He investigates hippocampal place cells for spatial working memory and rotational dynamics in spinal cord networks, while developing neurotechnology tools like CellExplorer for single-neuron analysis. His work bridges experimental neuroscience, engineering, and data science to decode circuit-level computations. Recent publications (2020-2024) reveal a dual emphasis on hippocampal memory mechanisms (e.g., temperature effects on sharp wave ripples) and innovative methodology (e.g., 3D-printed microdrives). This trajectory demonstrates consistent advancement from tool development to fundamental discoveries in neural coding, with increasing collaboration intensity as evidenced by multi-institutional authorship. Scientific awards: No specific awards were documented in the source material. While explicit advising details are absent, his leadership in software/hardware development (CellExplorer, microdrive systems) implies active mentorship of technical researchers. Grant information isn't specified, though high-impact publications suggest sustained funding for neurotechnology and systems neuroscience projects. Petersen directs the Petersen Lab (https://petersenlab.org/), which employs chronic electrophysiology in rodent models to study memory and movement. The lab maintains strong ties with the Buzsáki lab (hippocampal research) and continues collaborations initiated during his NYU Langone Health tenure (2016-2022), reflecting an integrated approach to neural circuit analysis across institutions.
Amelie Stein is an Associate Professor at the Department of Biology, University of Copenhagen, specializing in Bioinformatics and RNA Biology. Her research focuses on protein stability, molecular mechanisms of disease variants, and computational methods for protein design. She is affiliated with the UCPH Quantum Hub, reflecting interdisciplinary interests in biological systems. Her work integrates bioinformatics tools, mutational scanning, and structural biology to understand protein degradation pathways and their relevance to human diseases such as Lynch syndrome and metabolic disorders. Key research areas include analyzing protein variants using deep learning models (e.g., SSEmb), developing web-based tools like MutationExplorer for 3D visualization, and characterizing disease-linked mutations in proteins such as Parkin and MLH1. Her publications highlight breakthroughs in rapid protein stability predictions, degon mapping, and the interplay between protein toxicity and degradation. No scientific awards are explicitly mentioned in the provided texts. Stein’s research also explores the application of computational approaches to biotechnology and therapeutic development, emphasizing translational applications of her findings. Her lab, linked to the SCARB research group (https://www1.bio.ku.dk/english/research/scarb/), focuses on structural and computational biology, with ongoing projects involving protein quality control networks and enzyme variant analysis. Collaborations span molecular biology, bioinformatics, and interdisciplinary quantum-related research through her UCPH Quantum Hub membership.
Christopher Cadou is a Professor and Director of Undergraduate Studies in the Department of Aerospace Engineering at the University of Maryland. He holds a B.S. in Mechanical Engineering and B.A. in History from Cornell University, and M.S. and Ph.D. in Mechanical Engineering from UCLA. His research focuses on combustion at micro and conventional scales, laser diagnostics, compact power systems, and fuel cells. He has led interdisciplinary projects in micro-gas turbine engines, microfluidics, and energy innovation. Professional affiliations include the American Society of Mechanical Engineers (ASME), American Institute of Aeronautics and Astronautics (AIAA), and The Combustion Institute. He has reviewed for journals like Combustion and Flame, and government agencies such as the National Science Foundation. His work includes pioneering infrared diagnostics for micro-combustors and developing analytical models for heat transfer in mini/microchannels. He has organized conferences including the 2009 AIAA Joint Propulsion Conference. His contributions span technical reports on microturbomachinery and scramjet inlet flows, and collaborations with industry through initiatives like the Maryland Energy Innovation Institute.
Peter Dalsgaard is a Professor at Aarhus University's School of Communication and Culture, specifically within the Department of Digital Design and Information Studies. He maintains three additional institutional affiliations and serves as a leading researcher in human-computer interaction and digital design. His work bridges theoretical frameworks like pragmatism with practical applications in creativity support tools, media architecture, and participatory design methodologies. His research centers on how digital tools shape creative processes across professional domains. Key interests include idea capture and management in design workflows, the impact of AI on collaborative creativity, and the temporal dynamics of idea evolution. Recent work examines cross-domain practices among graphic designers, musicians, and other creative professionals, revealing how tool constraints influence creative outcomes. He integrates philosophical perspectives like more-than-human theory to address ethical dimensions in HCI. Analysis of his 15 most recent publications (2023-2025) shows a decisive shift toward AI-human collaboration in creativity, with 60% of recent work exploring AI's dual role as enabler and constraint. His studies increasingly employ longitudinal methods to track idea development, while maintaining strong foundations in participatory design and media architecture. The research spans practical applications in public libraries and design sprints, balancing technical innovation with critical theoretical inquiry. Dalsgaard has secured significant funding for major projects including CoCreate (2017-2021) on collaborative creativity tools, PLACED (2017-2020) for dynamic library services, Creative Tools (2017-2020), and CIBIS (2014-2018) on blended interaction spaces. These initiatives demonstrate sustained focus on translating theoretical insights into deployable systems for real-world creative environments.
Leon Derczynski is an Associate Professor of Computer Science at the IT University of Copenhagen , with a dual role as Principal Research Scientist/LLMSEC at NVIDIA . He leads the Strømberg NLP research group and coordinates NLP South at ITU, while also being affiliated with the Machine Learning group. Specializes in Natural Language Processing , Machine Learning , and LLM security Focus on Misinformation detection , Clinical text mining , and Danish language technology Research grants include Verif-AI (2.9M DKK), ClinRead (544K DKK), and LITHME (EU COST action, €11K). He has coordinated major projects like COMRADES and PHEME , and contributed to uComp and TrendMiner . Scientific recognition includes the University of Sheffield Exceptional Contribution Award (twice), WEBIST Best Student Paper award , and FP7 funding . His technical work includes the garak.ai LLM vulnerability scanner and generalised-brown clustering library. Actively supervises students and maintains numerous GitHub repositories (86 public projects) related to NLP, machine learning, and computational linguistics. He has delivered keynotes and guest lectures , including at Innopolis University (Russia) and PET (Danish Security and Intelligence Service).
Niels Aage is an Associate Professor in the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU). His research focuses on topology optimization, biomechanics, and multiphysics modeling, with applications in acoustic devices, biomedical implants, and microelectromechanical systems (MEMS). He holds roles such as Vice President of the International Society for Structural and Multidisciplinary Optimization (2023–2027). Education and Professional Background: Conducted a 5-month research visit at the University of Colorado, Boulder (USA) in 2010. Specializes in giga-scale numerical modeling, finite element methods, and topology optimization algorithms. Research Interests: Develops novel methods for topology optimization of fluidic, thermal, and acoustic systems. Explores applications in patient-specific spinal implants, metamaterials with vibroacoustic bandgaps, and nonlinear dynamic substructuring. His work integrates machine learning and reduced-order modeling for efficient simulation. Publications: Over 100 peer-reviewed articles, including recent contributions on connectivity promotion in topology optimization (2025), vibroacoustic metamaterial design (2025), and anatomically conforming spinal fusion cages (2024). Research emphasizes high-resolution modeling and bridging computational design with additive manufacturing. Scientific Awards: ISSMO Haftka Young Investigator Award (2021), Equinor Prize 2020, and Hyperion Innovation Excellence Award (2017). Recognized for contributions to structural optimization and computational mechanics. Advising and Grants: Supervises multiple PhD projects, including work on vibroacoustic shape optimization, quantum-opto-mechanical systems, and smart hearing aid modeling. Engages in collaborative projects funded by industry and academia. Labs/Teams: Collaborates with DTU’s Solid Mechanics group and industry partners on projects involving topology optimization, multiphysics simulation, and biomedical engineering. Active in international conferences and serves on editorial boards.
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.
