Find Academic Supervisors

Pernille Bjørn is a Professor in Computer Supported Cooperative Work (CSCW) at the Department of Computer Science , University of Copenhagen (DIKU), where she has been since May 2015. Her research investigates collaborative work practices to design cooperative technologies, focusing on domains like healthcare, global software development, startup companies, and digital fabrication. Faculty of Science, University of Copenhagen Human-Centred Computing Section Research Interests : Bjørn’s work spans CSCW , Human-Computer Interaction , and Digital Fabrication , with applications in healthcare systems, cross-cultural software development, and inclusive technology design. She explores collaborative virtual reality training, FemTech, and crisis computing. ACM Distinguished Member (2024) Publications : Published in top venues like ACM Transactions on Computer-Human Interaction , CSCW , and CHI , her recent work examines hybrid work asymmetry, neurodiverse accessibility, and art-driven collaborative research.

• Computer Supported Cooperative Work (CSCW)
• Human-Centered Computing
• Human-Computer Interaction
• +7 more

Peter Danholt is an Associate Professor at the School of Communication and Culture, Aarhus University, affiliated with the Department of Digital Design and Information Studies, the Centre for Science-Technology-Society Studies, and the SHAPE – Shaping Digital Citizenship research initiative. His work spans multiple interdisciplinary domains, focusing on the sociotechnical dimensions of digital systems in healthcare, welfare, and organizational contexts. His research interests include IT in healthcare , pervasive computing , gender and technology , organizational change , and qualitative research methods . He employs ethnographic and fieldwork-based approaches to study how digital technologies reshape work practices, citizenship, and care relations. His work often draws on Science and Technology Studies (STS), Actor-Network Theory, and relational ontologies. The recent publications highlight a consistent focus on digital healthcare systems (e.g., Teledialogue), data-driven governance , and the ethical implications of surveillance in welfare . Themes such as vulnerability, privacy, and citizen agency recur across his research, particularly in projects involving digital interventions in social work and patient care. Principal Investigator : Shaping Digital Citizenship – SHAPE (Independent Research Fund Denmark, 2022–2023) Collaborative Projects : CDC: Cultures of Data Collaboration , Teledialog , Håndhygiejne projektet , Sundhedsbarometer projektet He has contributed extensively to academic discourse through journal articles, conference papers, and book chapters, with a strong emphasis on ethnographic depth and theoretical innovation. His public engagement includes media contributions on AI, digital ethics, and urban technology. He has participated in organizing workshops and conferences, including EASST2010 and SHAPE Workshop (2024), and has delivered lectures on technoscience, surveillance, and welfare technology. His collaborations extend across Denmark and internationally, reflecting a robust network in STS and digital society research.

• Sociotechnical perspectives on work, management and technology
• IT in the health service
• Working practice and the use of IT
• +13 more

Chenjuan Guo is an Associate Professor at the Department of Computer Science, Aalborg University, within The Technical Faculty of IT and Design. She is affiliated with the Data Engineering, Science and Systems group and the AI for the People initiative, and is part of the Daisy - Center for Data-intensive Systems. Her research focuses on machine learning, data engineering, spatio-temporal data analysis, and time series forecasting. Key projects include the Villum Foundation-funded 'Explainable AI for Complex Microbial Community Interactions and Predictions' (2021-2024) and the Astra project on time series analytics in spatial networks (2018-2021). Her research interests span representation learning, autoencoders, path representation, outlier detection, trajectory data analysis, and time series modeling. She has supervised 3 PhD students and contributed to over 60 publications, with a recent emphasis on transformer-based forecasting, neural architecture search, and continuous learning frameworks for spatio-temporal data. Her work bridges theoretical advancements with practical applications in environmental science, cloud computing, and urban mobility systems. Key achievements include developing frameworks like AutoCTS++ for automated time series forecasting and LightGTS for lightweight models. She actively collaborates internationally, contributing to conferences like ECML PKDD and CVPR. Her research is supported by grants from the Villum Foundation and other institutions.

• Machine Learning
• Data Engineering
• Spatio-temporal Data Analysis
• +4 more

Katja Hose is a Professor in the Department of Computer Science at Aalborg University's Technical Faculty of IT and Design. Her research focuses on Data, Knowledge and Web Engineering with specializations in AI for the People and Artificial Intelligence and Machine Learning. She maintains an active research profile with numerous publications and projects. Department of Computer Science Technical Faculty of IT and Design Aalborg University Research areas: Query Processing, Semantic Web, Linked Data, Knowledge Graphs Professor Hose's research interests center on knowledge representation, semantic web technologies, and AI applications. Her work spans from theoretical database systems to practical applications in healthcare, environmental assessment, and microbial data analysis. She has made significant contributions to knowledge graphs, large language models, and semantic search technologies, with particular emphasis on addressing hallucinations in AI systems and improving table search in semantic data lakes. Her recent publications demonstrate a strong trend toward integrating knowledge graphs with large language models, developing evaluation frameworks for AI hallucinations, and applying data science to diverse domains including healthcare and environmental sustainability. Her research bridges theoretical computer science with practical applications that address real-world challenges. NLP4KGC Best Paper Award (2023) ESWC 2023 Best Demo Award (2023) 2020 AMiner AI 2000 Most Influential Scholars AIME 2020 Best Paper Nomination (2020) ESWC 2019 Best Demo Award Nomination (2019) Professor Hose leads multiple significant research projects including ARISTOTLE (AI for clinical risk assessment), DarkScience (microbial data analysis), and the Poul Due Jensen Professorate in Big Data and AI. She has supervised numerous PhD students and collaborates extensively across disciplines, particularly in healthcare applications of AI and environmental assessment technologies. Her research has attracted substantial funding from sources like Villum Fonden and Danish E-infrastructure Cooperation. She is actively involved in several interdisciplinary research teams, including collaborations with microbiologists on microbial dark matter projects and with environmental scientists on digital environmental assessment systems. Her work on the ARISTOTLE project demonstrates strong connections between AI research and clinical applications, while her DarkScience project bridges computer science with microbiology.

• Query Processing
• Semantic Web
• Linked Data
• +7 more

Steven Sawyer is a Professor at Syracuse University and Core Faculty of the Renée Crown Honors Program. His work bridges Information Systems and Social Informatics , focusing on digital labor platforms, gig economy dynamics, and the sociotechnical impacts of information technologies. He has held editorial leadership roles at the Journal of the Association of Information Science and Technology and contributed to major research initiatives funded by the National Science Foundation . DBA in Management Information Systems, Boston University MS in Management Information Systems, Boston University MS in Ocean Engineering, University of Rhode Island BS in Marine Transportation, United States Merchant Marine Academy Research Interests center on digital infrastructures , platform economies , and workplace transformation , with particular attention to: Human-AI collaboration in gig work Gender and racial inequality in digital labor Flexible work models and their societal impacts Ethical design of digital platforms Evolution of professional careers in platform economies Interdisciplinary approaches to information systems Scientific Contributions : Lead editor of the Handbook of Information Technology in Organizations and Electronic Markets Pioneering studies on online freelance worker autonomy and digital platform governance NSF-funded research on infrastructural competence and decentralized collaboration Honors & Service : 2024 Best Paper Award, Academy of Management Chair of Honors Program Planning since 2020 Editor-in-Chief of JASIST since 2021 Member of Syracuse University's Academic Freedom, Tenure, and Professional Ethics Investigative Team Extensive service on editorial boards of Journal of Information Technology , The Information Society , and New Technology, Work, and Employment Teaching includes graduate seminars on Digital Technologies Theories , Information Systems Management , and honors courses on Working in the Digital Economy .

• Social Informatics
• Digital Labor Platforms
• Gig Economy
• +3 more

Sune Darkner is a Professor at the Department of Computer Science (DIKU) at the University of Copenhagen, specializing in the Image Analysis, Computational Modelling, and Geometry research section. His work focuses on medical image processing with particular emphasis on neuro-imaging data including MRI and PET scans. His primary research interests include Image Registration, Segmentation and Classification of Medical Image Data , with a specific focus on estimation of image similarity as his main research interest. Darkner strongly believes that the implementation of image processing algorithms should be thoroughly tested and reflect the theoretical properties as accurately as possible. His work primarily centers on neuro-imaging data such as MRI and PET. His recent publications (2024-2025) reveal a strong focus on medical image analysis, with particular emphasis on tumor volume delineation, deformable image registration with physics constraints, and applications of deep learning in medical imaging. His work spans both theoretical foundations of image processing and practical clinical applications. Darkner previously held a Post Doc position at the Technical University of Denmark from February 2009 to January 2010, demonstrating his longstanding engagement with image analysis research in the Danish academic community.

• Image Registration
• Image Segmentation
• Image Classification
• +6 more

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.

• Computer-Supported Cooperative Work (CSCW)
• Critical Data Studies
• Asylum Decision-Making Systems
• +3 more

Henrik Palmer Olsen is a Professor of Jurisprudence at the Faculty of Law, University of Copenhagen (UCPH), where he has been a central figure since earning his Cand.jur. in 1993. He is a co-founder and member of the Centre of Excellence for International Courts and Governance (iCourts), a leading research center in global legal studies. His academic leadership includes serving as Associate Dean for Research and Head of the PhD School at UCPH. Education: Dr.jur. (2005), Faculty of Law, University of Copenhagen PhD (1997), Faculty of Law, University of Copenhagen MA in Socio-Legal Studies (1994), University of Sheffield Cand.jur. (1993), Faculty of Law, University of Copenhagen Henrik Palmer Olsen's research lies at the intersection of legal philosophy, human rights, and international courts, with a growing emphasis on data science applied to legal analysis. His work explores the theoretical foundations of law, judicial legitimacy, and the methodological evolution of legal scholarship. He has pioneered the integration of quantitative methods—such as citation network analysis and corpus linguistics—into doctrinal legal studies, bridging traditional and computational approaches. His recent publications reflect a consistent trajectory in analyzing international courts, legal diplomacy, and legal methodology. Works like 'Can quantitative methods complement doctrinal legal studies?' and 'Providing Legal Pincite Recommendations using Language Representations' illustrate his innovative approach, combining jurisprudence with AI and data-driven legal research. This positions him at the forefront of the digital transformation in legal science. Scientific Engagement: Speaker, Regulating “AI” in the EU: The “Artificial Intelligence Act” (2021) Speaker, EURECO Distinguished Lecture Series (2010) Lecturer, Bristol Law School Annual Jurisprudence Lecture (2010) Olsen has held major research management roles, including co-founding the Center for Studies in Legal Culture and leading the PhD school at UCPH. He has secured recognition through extensive research output and collaborations across Europe. His work is referenced in academic databases, Mendeley, and multiple Wikipedia pages, indicating broad scholarly impact. He is actively involved in shaping legal education, particularly through his textbook on legal methodology. He is associated with research environments such as the Nordic Asylum Law & Data Lab and maintains strong international networks, especially in EU legal studies and global mobility law. His multilingual abilities (Danish, English, French) support his transnational academic engagement.

• Jurisprudence
• Legal Philosophy
• Human Rights
• +6 more

John Paulin Hansen is a Professor at the Technical University of Denmark (DTU), affiliated with the Department of Technology, Management and Economics under the Technology and Business Studies school. His research focuses on human factors, human-computer interaction, and assistive technologies, particularly in gaze interaction and rehabilitation robotics. He holds a Ph.D. from Aarhus University (1992) and has led research groups at institutions like Risø National Laboratory and the IT University of Copenhagen. His work emphasizes improving quality of life for individuals with motor disabilities through innovations like The Eye Tribe and GazeIT lab initiatives. Research Interests include: Eye-tracking technology and gaze interaction systems Exoskeletons and AR interfaces for stroke rehabilitation Human digital twins in healthcare Telepresence robotics accessibility Brain-computer interfaces (BCI) Key Achievements: Founded EU’s COGAIN network, co-created The Eye Tribe startup (acquired by Facebook/Oculus), and leads the GazeIT lab supported by the Bevica Foundation. His projects address sustainable development goals through inclusive technology solutions. Awards: Vanførefondens Forskerpris 2018 Multiple Best Paper Awards (2019–2022) Reviewers' Favourite Best Paper Award at DESIGN2022 Advising & Grants: Mentor to startups like The Eye Tribe and Orbital (acquired by GN Audio). Current projects include EU Horizon 2020 Rehyb initiative for AR exoskeleton interfaces and Human Digital Twin applications in rehabilitation. Labs/Teams: GazeIT lab pioneers assistive tech innovations, collaborating with LEGO and Serious Games Interactive. Active in developing inclusive design pedagogy and digital twin methodologies for healthcare.

• Human Factors
• Human-Computer Interaction
• E-Health
• +6 more

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.

• Explainable Artificial Intelligence
• Biometrics
• Machine Learning
• +4 more

David Jakobsen is an Associate Professor in the Department of Communication and Psychology at Aalborg University, Faculty of Social Sciences and Humanities. His work bridges logic, philosophy, and digital technology, with a focus on tense logic and its applications in artificial intelligence and critical thinking. He is affiliated with several research groups, including the Purposeful Technology Lab, The Logic of Time and Modality, Tid, Eksistens og Naturforbundethed, and InDiMedia (Centre for Interactive Digital Media & Experience Design). His research interests include tense logic, the philosophy of time, Arthur Norman Prior’s legacy, metaphysics, philosophical theology, and the use of generative AI in education and reasoning. Jakobsen co-leads the Arthur Norman Prior Archive, preserving and analyzing the work of the foundational figure in tense logic. Recent publications show a strong trend toward integrating AI with human reasoning, particularly in educational contexts, examining how systems can support critical thinking. His work spans formal logic, philosophy, theology, and digital learning environments, reflecting a deeply interdisciplinary approach. Scientific Awards: Best Paper Award (25 Nov 2020) – shared with Peter Øhrstrøm, Thomas Ploug, Stine Thorvaldsen, and Ulrik Sandborg-Petersen He has been involved in research projects such as 'Educational and Entrepreneurial co-operation in Future City' (2021–2023) and 'Building Educational Co-operation in Smart City' (2018–2019), focusing on innovation in education and smart urban development. Jakobsen has advised and collaborated on educational initiatives, though no formal students are listed. He has organized and presented at academic conferences and contributed to public discourse through media engagement on topics including technology, religion, and societal development. He is active in multiple labs and research centers, particularly those exploring digital media, time logic, and human-centered technology.

• Logic
• Tense Logic
• Philosophy of Time
• +9 more

Irina Shklovski is a Professor in the Department of Computer Science at the University of Copenhagen, specializing in Human-Centred Computing. Her research focuses on ethics in technology, data privacy, and the societal implications of digital systems. She coordinates projects like VIRT-EU, investigating ethical practices in IoT development and promoting responsible technology design. Her work addresses challenges such as data governance, normalization of privacy intrusions, and the moral stress faced by technical professionals. Research interests span ethical AI, algorithmic accountability, and the human impact of emerging technologies. She advocates for educational reforms to instill ethical considerations in tech development. Collaborations include international studies on data ethics and hybrid work dynamics. Notable contributions include critiques of LLM-generated data in social sciences and explorations of artistic methods to envision future work environments.

• Ethics in Technology
• Data Privacy
• Social Network Analysis
• +3 more

Sisse Finken serves as a Lecturer in the Digitalisation, Democracy, and Governance unit at IT University of Copenhagen , specializing in the intersection of technology, society, and governance. Her work bridges theoretical frameworks from Science and Technology Studies (STS) with practical applications in public-sector digitalization, particularly through participatory design and action research methodologies. Her research interests span Workplace studies, Healthcare/Digital Health, Welfare technology, Displacements, Qualitative approaches, Ethnography, Design methods, Computer supported cooperative work (CSCW), Science and technology studies (STS), Feminist technology studies, and Digitalization processes . Finken approaches digital governance through critical lenses, examining power dynamics, representation, and inclusion in welfare technology implementations. Recent publications (2024) demonstrate her focus on action research in participatory design, gender and diversity in technology, and the philosophical dimensions of human-technology relations . Her work consistently emphasizes the importance of paying attention to context, stakeholders, and ethical implications in digital transformation processes. Finken has contributed to significant research projects including WaD: Welfare after Digitalization (2020-2023), examining video consultation systems and digital public services, and Bæredygtige innovationer gennem samskabelse (2016-2017) on sustainable innovation through co-creation. Her media contributions address critical issues like representation in inclusive digital welfare societies and principles for citizen-friendly digitalization . She maintains active scholarly engagement through publications, conference contributions, and collaborative research networks focused on ensuring democratic values in digital governance processes.

• Workplace studies
• Healthcare/Digital Health
• Welfare technology
• +11 more

Huanren Zhang is an Associate Professor in the Department of Economics at the University of Southern Denmark, Faculty of Social Sciences. His research lies at the intersection of behavioral economics, game theory, and organizational behavior, with a focus on strategic and risky decision-making, social norms, coordination, and learning. He employs experimental methods, computational modeling, and theoretical analysis to investigate human and organizational behaviors. His research interests include: Strategic decision-making and coordination under uncertainty Social preferences and cooperation in social dilemmas Human and organizational learning processes Emotion and economic decisions Innovation ecosystems and technological interdependencies Gender identity and information salience in coordination The most recent articles reflect a strong trend in experimental and behavioral economics, particularly in understanding how individuals and groups coordinate under uncertainty, respond to inequality, and navigate emotional influences in economic contexts. His work increasingly integrates interdisciplinary perspectives from psychology and management, especially in studying innovation ecosystems and gender dynamics. Scientific contributions and recognition: Active peer reviewer for journals such as Journal of Economic Behavior & Organization and Frontiers in Behavioral Economics Guest lecturer at external institutions on topics like innovation management and repeated game behavior Contributor to public discourse through media appearances on decision-making tools Huanren Zhang is actively involved in research supervision and teaching, offering courses such as Advanced Economic Evaluation and Decision, Persuasion, and Negotiation . He participates in major research projects including Decision under Uncertainty and Exploration, Exploitation, and Coopetition in Strategic Alliances . His work is supported by ongoing institutional and collaborative research funding, though specific grant names are not listed. He is affiliated with a dynamic research network focused on behavioral and experimental economics, collaborating with scholars internationally. His personal website and ORCID profile provide further access to his publications and research activities.

• Behavioral Economics
• Strategic Decision-Making
• Risky Decision-Making
• +12 more

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 .

• Human-Computer Interaction
• Computer-Supported Cooperative Work
• Participatory Design
• +12 more