Teresa Hirzle is a Tenure Track Assistant Professor at the Department of Computer Science , University of Copenhagen , specializing in Human-Centred Computing . Her research focuses on Human-Computer Interaction (HCI) , Virtual Reality (VR) , Extended Reality (XR) , and Gaze-Based Interaction . Research Interests: Designing interaction techniques for immersive environments Eye movement analysis for educational applications Addressing digital eye strain in interactive systems Evaluating user experience in VR/AR Recent Research Trends: Her recent publications examine AI representation in VR co-creation, VR sickness in locomotion, eye strain in gaze-driven systems, and hybrid applications of comics/AR. She also explores pedagogical implications of eye tracking in remote learning. Contact: Email: tehi@di.ku.dk Office: Sigurdsgade 41, 2200 København N.
Tuukka Ruotsalo serves as Associate Professor in the Machine Learning Section at the Department of Computer Science, University of Copenhagen. His research bridges human cognition with computational systems through brain-computer interfaces and physiological computing. As Academy Research Fellow at University of Helsinki (2019-2024), he maintained dual institutional affiliations while leading cutting-edge work in neuro-linguistic modeling and affective relevance. His research focuses on brain-computer interfaces for information retrieval , where he pioneers methods to decode cognitive states from neural signals to improve search systems. Key areas include affective relevance modeling that integrates emotional states into search algorithms, and neuro-linguistic reconstruction that translates brain activity into language. His work on fairness-relevance tradeoffs in recommender systems established Pareto frontier evaluation frameworks now widely adopted in ethical AI research. Recent publications demonstrate how physiological signals like EEG and galvanic skin response can create more adaptive human-information interaction systems. Ruotsalo's scientific recognition includes the prestigious Academy Research Fellow position. His publications in IEEE Transactions on Human-Machine Systems , Journal of the Association for Information Science and Technology , and Communications Biology reveal growing interdisciplinary impact. His advising spans cognitive neuroscience and machine learning students, with notable collaborations across the SCIENCE AI Centre. Current projects include the TreeSense initiative for remote sensing of global tree resources and development of quantum-inspired neural architectures. His lab leverages the department's powerful compute cluster for large-scale physiological data analysis.
Per Lynggaard is a Professor of Electronics at the Technical University of Denmark (DTU) , leading the B.Eng. program in Electronics. Previously, he held an Associate Professor role at Aalborg University, combining academic excellence with a robust industrial career in technical-scientific research and development. Education: M.Sc. in Electrical Engineering and Information Technology (EE and IT) Ph.D. in Electronics from Aalborg University Research Interests: Focus on Integrated Circuit Design, Wireless Sensor Networks (WSN), Machine Learning, IoT, and Smart City Technologies . His work emphasizes energy-efficient systems, cybersecurity in IoT, AI-driven interference mitigation, and sustainable energy harvesting solutions. He has contributed to UN Sustainable Development Goals through projects addressing smart infrastructure and environmental monitoring. Projects & Collaborations: Leads and participates in EU-funded initiatives such as InnoTech (2023–2025) for green transition solutions and TransportTech (2023–2026) for Industry 4.0 logistics. Active in cybersecurity research via projects like Jamming Against Critical Wireless Communication , aiming to protect critical infrastructure. Awards: Recognized with multiple honors and rewards during his industrial career, though specific names are not listed. His work has been cited widely, with notable impact in IoT security and energy-efficient systems. Advising & Grants: Supervises Turnip T.N. in a PhD project on 6G security protocols. Engaged in securing funding for projects like F2D2: The Community for Dynamic Data (2021–2030), focusing on dynamic data systems and cybersecurity. Labs & Teams: Collaborates in interdisciplinary teams such as the InnoTech TaskForce and F2D2 Community , advancing IoT and AI integration. His research bridges academia and industry, with outputs spanning smart cities, healthcare IoT, and sustainable energy systems.
Filipe Rodrigues is an Associate Professor in the Department of Technology, Management and Economics at the Technical University of Denmark (DTU), where he conducts research in intelligent transportation systems and transportation science. His work integrates machine learning, artificial intelligence, and behavioral modeling to improve urban mobility and public transport systems. His research interests lie at the intersection of machine learning , transportation science , and behavioral modeling . He specializes in discrete choice modeling , reinforcement learning , graph neural networks , and smart card data analytics . His work contributes to sustainable urban mobility, leveraging big data and AI for proactive traffic control and public transport optimization. The recent publications highlight a strong trend toward integrating AI and behavioral science in transportation. Key themes include ride-sourcing driver behavior , public transport trip validation , autonomous fleet control , and causal machine learning . These works predominantly employ deep learning , Bayesian modeling , and offline reinforcement learning techniques, often applied to real-world datasets from Denmark and beyond. Scientific Contributions: Active contributor to journals like Transportation Research Part C and Journal of Choice Modelling . Supervises multiple PhD projects on AI in transportation and causal modeling. Regular presenter at major transportation and AI conferences. Advising and Grants: Filipe Rodrigues is the main or co-supervisor of several PhD students including O. B. Lassen, F. M. F. Santos, A. Nguyen, and X. Wu. He leads and participates in funded research projects such as 'Proactive traffic control through AI and Big Data' and 'Causal Graph Neural Networks for machine learning meta-modelling', indicating sustained grant support. His collaborative network spans institutions in Europe and beyond. Labs and Teams: He is part of the Intelligent Transportation Systems research group at DTU, collaborating closely with researchers like F. C. Pereira and C. M. L. Azevedo. The team focuses on data-driven mobility solutions, combining simulation, machine learning, and behavioral insights.
Marianne Graves Petersen is a Professor in the Department of Computer Science at Aarhus University . Her work bridges Artificial Intelligence , Human-Computer Interaction , and K-12 Education , with a focus on computational thinking and sustainable interaction design. She leads projects such as the Center for Computational Thinking & Design (CCTD) and contributes to participatory design methodologies. Research Interests : Computational Thinking, AI Literacy, Participatory Design, Sustainable Interaction Design, Interactive Technology for Education, Human-Computer Interaction. Scientific Awards : Nominated for the Pasteur Prize (2008) for project leadership. Her research trends emphasize AI in education , design frameworks , and equitable technology access . She has been actively involved in media discussions about the future of technology and gender representation. Grants & Projects : Leads CCTD, CEED, and Co-Tinker initiatives, focusing on computational empowerment and educational tool development. Media Contributions : Advocates for playful AI learning (2019), digital equity (2023), and ethical technology design.
Niels van Berkel is a Professor in the Department of Computer Science at Aalborg University, affiliated with The Technical Faculty of IT and Design. His research focuses on Human-Centered Computing and AI for societal benefit, with key projects including the HERD initiative on human-robot collaboration and initiatives to enhance mental health through digital tools. He leads multiple research projects involving AI ethics, healthcare applications, and swarm robotics. His educational background includes a Ph.D. in Computer Science. Research interests span AI explainability, human-AI interaction design, and the ethical implications of AI systems in healthcare and daily life. He has supervised 1 doctoral student and contributed to over 169 research outputs across journals, conferences, and datasets. Notable contributions include work on chatbot-driven data collection, coordination in AI development teams, and swarm robotics for search & rescue. His project 'AI for the People' emphasizes technology's role in improving societal wellbeing, while collaborations with medical professionals address chronic pain management and telehealth innovations. He received the DIS 2024 Honourable Mention and has actively engaged with media to communicate research impacts, including discussions on AI ethics and robot swarms. His work bridges technical innovation with human-centric design principles, addressing challenges in explainable AI, moral agency perceptions, and sustainable urban mobility solutions.
Bhaskar Dutt is a PhD student at the Department of Computer Science (University of Copenhagen), specializing in Human-Centred Computing . His research focuses on Human-Computer Interaction , Ubiquitous Computing , and Wearable Sensors , with an emphasis on tangible interfaces and user experience. Recent publications include: Impedius: A Signal-Space Multiplexing Technique Using Individual Elements of Impedance for Chained Passive Sensors (2025) Kawach: Reducing Smartphone Distractions by Leveraging Tangible Skins to Disguise Smartphones as Everyday Objects (2024) His work explores embedded interaction, digital well-being, and context-aware computing. He collaborates with researchers like Y. Chen, D. Ashbrook, and A. Parnami.
Robb Mitchell is an Associate Professor at the University of Southern Denmark, affiliated with the Centre for Learning Computational Thinking and the Department of Design and Communication . His research focuses on the intersection of technology, design, and social interaction, emphasizing embodied learning, collaborative interfaces, and the ethical implications of digital tools. Mitchell explores how tangible and digital systems can enhance education, social connectivity, and creative expression through experimental designs. His work spans areas such as Human-Computer Interaction , Embodied Learning , and Collaborative Technologies , with a particular interest in fostering convivial interactions and addressing interpersonal gaps through design. Mitchell’s publications reflect a commitment to innovative methodologies, including participatory design, prototyping, and empirical studies of user behavior. Key themes in his research include: Designing tools for educational and social contexts Exploring the role of technology in everyday interactions Developing frameworks for sustainable and ethical technology integration While no explicit awards or grants are listed, Mitchell’s extensive publication record and involvement in interdisciplinary research initiatives highlight his contributions to the field. His work often bridges academic research and practical applications, aiming to create meaningful technological interventions in real-world settings.
Søren Knudsen is an Assistant Professor at the Digital Design Department, IT University of Copenhagen and holds a Marie Curie Fellowship for postdoctoral work at the University of Copenhagen. He serves as Academic Director of the Human Data Interaction Lab. Positions: Assistant Professor, Marie Curie Postdoctoral Scholar Affiliations: IT University of Copenhagen, University of Copenhagen Key Roles: Academic Director, Human Data Interaction Lab His research centers on information visualization and human-computer interaction , particularly in face-to-face and online contexts. He explores how large-area displays and social media can enhance data comprehension and collaborative discussion. Notable work includes surveys on interactive visualization techniques for large displays, frameworks for data visualization education , and EMR-based algorithms for healthcare performance evaluation. His publications span journals like IEEE Transactions on Visualization and Computer Graphics and PLOS ONE . Awards and honors: Marie Curie Fellowship He collaborates across disciplines, with ties to healthcare analytics, educational technology, and computer science departments. His recent studies address challenges in visualization design handoff , proxemics , and ubiquitous data interaction .
Erik Grönvall is an Associate Professor at the Digital Design department, IT University of Copenhagen , and has led the Co-Design Research Group since 2021. His work bridges Human-Computer Interaction (HCI) and Computer-Supported Cooperative Work (CSCW) , focusing on Participatory Design and Service Design for healthcare and public sectors. Research Interests : Technology integration in everyday life Participatory Design for organizational change Co-design with vulnerable populations Digital public services and municipal innovation Shape-changing interfaces and tangible interaction Self-care technologies and telehealth Recent Projects include LinLabs (2022–2026) for Swedish municipal innovation and CoCare (2017–2020) in social care. He has secured funding from Innovation Fund Denmark and Danish Agency for Institutions and Educational Grants . Scientific Awards : European Social Services Awards 2023 for contributions to social care innovation Teaching includes Co-Design and Physical Computing at ITU, with prior courses in Service Design and Python Programming . He served on hiring committees for Creative Computing (2024) and edited journals like Interaction Design and Architecture(s) and Personal and Ubiquitous Computing .
Barry Alan Brown is a Professor at the Department of Computer Science, Faculty of Science, University of Copenhagen. He previously served as Research Director at Mobile Life (2011–2017) and Associate Professor at UCSD’s Department of Communication (2007–2011). PhD in Sociology, University of Surrey (1997) His research focuses on Human-Centered Computing , examining digital technology use in everyday contexts, including leisure technologies , autonomous vehicles, and gig economy platforms. Recent work analyzes food delivery labor in India and self-driving car interactions. His 15 most recent articles span 2023–2025, exploring themes like collaborative piecework, robotic interactions, and autonomous vehicle ethics. Key journals include CHI , CSCW , and Ubicomp . Scientific Awards ACM Best Paper Award (CHI) 10-Year Impact Award (Ubicomp) Five ACM Best Paper Nominations He has secured over $8 million (75 million SEK) in grants from Vinnova, NSF, EU, and Wallenberg. His research is widely covered in international press (The Guardian, New York Times, Fortune Magazine) and involves collaborations across Sweden, India, and the U.S.
Susanne Bødker is a Professor at the Department of Computer Science, Aarhus University. Her work focuses on Human-Computer Interaction (HCI), participatory design, and artifact ecologies. She leads projects like CIO (Common Interactive Objects) and CIBIS (Creativity In Blended Interaction Spaces), exploring how technologies mediate collaborative practices. Bødker has contributed to foundational theories in HCI, including the Human-Artifact Model and activity theory applications. Her research bridges technical design with socio-technical systems, emphasizing community engagement and ethical technology development. Key research areas include participatory design methodologies, hybrid work environments, and the role of artifacts in collaborative activities. Recent work addresses the future of work, digital labor dynamics, and inclusive communication in hybrid meetings. She has advised numerous projects funded by initiatives like Participator Information Technology (2012-2021). Notable contributions include theories on artifact ecologies and critiques of scaling HCI research to societal challenges. Bødker's career spans academic leadership roles, including organizing major conferences like ECSCW and CHI. Her publications span over three decades, reflecting deep engagement with both theoretical frameworks and applied design challenges. Current research trends emphasize tracing workplace transformations and reimagining participatory design for emerging societal issues.
Nicolai Brodersen Hansen is a Tenure Track Assistant Professor in the Department of Computer Science at Aalborg University, part of The Technical Faculty of IT and Design. His research focuses on human-centered computing with a mission to improve wellbeing among children and youth in Denmark. He holds an ORCID identifier (0000-0003-2187-0104) and is based in Aalborg Øst, Denmark. His research interests span Human-Computer Interaction , Participatory Design , and Civic Technology , with emphasis on inclusive design for marginalized groups (e.g., autistic adults), sustainable energy systems, and community-driven initiatives. He has led/co-investigated projects like Enhancing Social, Mental, and Physical Well-Being in a Digital Age (2024–present) and Behavioural Change Support Systems (2021–2023). Publications highlight themes such as digital mediation of energy pricing, participatory design with neurodiverse populations, and understanding 'failure' in civic tech. His work bridges theoretical insights with practical tools, like the SurfaceCast cross-device sharing system and TARGET-tool for physical education teachers. Awards: Best Paper Award (2021) Grants: Two major research projects funded since 2021 Labs/Teams: Involved in interdisciplinary teams addressing digital civics and sustainability
Daniel Lee Ashbrook is an Associate Professor in the Department of Computer Science at the University of Copenhagen (DIKU). He specializes in Human-Centred Computing, focusing on tangible user interfaces, wearable technology, and computational fabrication. His work bridges hardware innovation with practical applications in interactive design. Research Themes : Embedded sensors, 3D-printed interactive systems, pneumatic computing, and accessible fabrication tools. Collaborations : Regularly works with researchers like Victor Savage and Hyeon-Jeong Kim on novel interface technologies. Recent publications highlight advancements in tactile feedback systems, multi-material fabrication, and sensor integration in everyday objects. His projects often combine physical and digital elements for intuitive user experiences. Key trends include democratizing hardware prototyping and enabling electronics-free interactivity. Awards : ISWC 2012 Best Papers Award. Contact : Email dan@di.ku.dk or call +45 53638312.
Arpit Bhatia is a Research Fellow at the Department of Computer Science , University of Copenhagen , working in the Human-Centred Computing section. His research bridges human perception and technology through haptics, augmented reality, and wearable interfaces. Research interests include Haptic feedback in augmented reality Ultrasound-based sensory stimulation Text input methods for XR environments Physical human-robot interaction Wearable technology for discreet notifications Visual storytelling in immersive systems His recent publications explore multimodal interaction techniques, with a focus on enhancing user experiences through physiological and contextual feedback. Collaborations include researchers from Denmark, Japan, and the United States.
