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Michael Riegler is a Researcher at the AI Department, Simula Research Laboratory , focusing on interdisciplinary applications of Artificial Intelligence in healthcare, sports analytics, and multimedia systems. His work bridges Machine Learning , AI Alignment , and Applied AI across clinical and real-world domains. Key Affiliations: Simula Research Laboratory (AI Department Head) Research Themes: Explainable AI in medicine, multimodal data analysis, and AI-driven health monitoring Research Interests include: Developing AI/ML algorithms for medical imaging (e.g., polyp detection, embryo analysis) Addressing missing data challenges in healthcare through novel imputation techniques Creating multimodal virtual avatars for investigative interview training Designing edge AI systems for sports analytics and sustainable fishing Recent Publications highlight collaborations with institutions in Norway and globally, with a focus on: Medical Applications: Polyp segmentation, ECG analysis, and explainable models for disease detection Sports Analytics: Athlete performance prediction and soccer video processing Data Infrastructure: Lifelogging datasets (ScopeSense), semantic representation frameworks Labs & Teams include leadership in Simula’s AI Department and participation in projects like Medico Multimedia Task , ImageCLEF , and MediaEval workshops. His work emphasizes responsible AI innovation in public sectors and privacy-preserving systems for edge environments.

• Artificial Intelligence
• Machine Learning
• AI Alignment
• +2 more

Erik Velldal is a Professor in the Language Technology Group (LTG) at the Section for Machine Learning , Department of Informatics, University of Oslo . With over 25 years of experience in machine learning and natural language processing (NLP), he leads the SANT project focused on sentiment analysis and contributes to major research initiatives including MediaFutures , NorwAI , and Integreat (Norwegian Center for AI Research). His work bridges linguistic theory and computational methods, emphasizing semantic modeling and uncertainty detection. Research interests include sentiment analysis , language modeling , event extraction , and machine learning applications to NLP. Recent publications address cross-domain sentiment classification , generative event analysis , and multilingual model adaptation . He co-developed the Norwegian Review Corpus (NoReC) and Norwegian Anaphora Resolution Corpus (NARC) , foundational resources for Norwegian NLP. His projects often involve collaboration with international institutions, reflected in publications at venues like ACL, COLING, and EMNLP. Current efforts focus on entity-level sentiment analysis , diagnostic datasets for Norwegian , and evaluating compositional generalization in language models. No public record of scientific awards or part-time appointments exists.

• Natural Language Processing
• Machine Learning
• Sentiment Analysis
• +5 more

Elisabeth Wetzer is an Associate Professor in Machine Learning at the Department of Physics and Technology, UiT The Arctic University of Norway. Her research bridges artificial intelligence with healthcare applications, focusing on multimodal image registration, bias mitigation in AI, and physics-informed learning models. Current Role: Associate Professor, Machine Learning Group Research Themes: AI ethics, medical imaging, cross-modal representations, algorithmic fairness Her recent work explores technical challenges in PET imaging analysis and societal implications of AI bias. Collaborative projects span medicine, mathematics, and computer science disciplines. Key scientific contributions include: Physics-informed deep learning for PET image data Studies on multi-task learning efficacy in medical classification Research on gender bias in algorithmic systems She actively participates in diversity initiatives and public outreach, including presentations at Nobel laureate conferences and media engagements on AI ethics.

• Machine Learning
• Artificial Intelligence
• Medical Imaging
• +4 more

Egor Kostylev serves as an Associate Professor in the Department of Informatics within the Faculty of Mathematics and Natural Sciences at the University of Oslo. His research focuses on the theoretical foundations connecting symbolic and sub-symbolic artificial intelligence, particularly examining relationships between formal logic systems and machine learning approaches. His educational background includes an MSc (Specialist, 2005) and PhD (Candidate, 2009) from Lomonosov Moscow State University under Prof. Vladimir A. Zakharov. He subsequently held research positions at the University of Edinburgh (2010-2013) and the University of Oxford (2013-2020) before joining the University of Oslo in 2020. Kostylev's research interests center on bridging symbolic AI formalisms with sub-symbolic approaches. He investigates connections between various logics (Description Logics, Temporal Logics, Datalog), query languages (SPARQL, Regular Path Queries, OTTR), and machine learning formalisms (Graph Neural Networks, Markov Logic Networks). His work addresses critical challenges in Explainable, Trustworthy, and Green AI through theoretical foundations that connect different AI paradigms. His publication record demonstrates consistent high-impact contributions in theoretical computer science and AI, with numerous publications in top venues including AAAI, LICS, Journal of the ACM, and ICLR. His recent work shows a clear trajectory toward unifying logical reasoning with neural network approaches, particularly through graph neural networks and their connections to logical formalisms. The research spans theoretical foundations of knowledge representation, temporal reasoning in knowledge bases, and the logical expressiveness of modern neural architectures. As a research leader, Kostylev supervises multiple PhD students including Shuwen (Aurora) Liu, Maximilian Pflüger, Roxana Pop, Dongzhuoran Zhou, and Erik Snilsberg. He serves as a Research Theme Leader for the Integreat SFF: Norwegian Centre for Knowledge-driven Machine Learning. His teaching responsibilities include IN3020/4020 Database Systems courses. He leads the Data and Knowledge Management (DKM) research group at the University of Oslo, which focuses on foundational aspects of knowledge representation, database theory, and the intersection with modern machine learning techniques. The group actively collaborates with international researchers and contributes to advancing theoretical understanding of how symbolic and neural approaches to AI can complement each other.

• Foundations of AI
• Symbolic AI
• Description Logics
• +9 more

Tom Roar Eikebrokk is a Professor at the Department of Information Systems , University of Agder , Norway. He contributes to the Center for Digital Transformation (CeDiT) research group and has over two decades of academic and practical experience in digitalization, business process management, and collaborative innovation. Research Focus : Digital transformation, co-creation frameworks, e-health innovation, IT service management (ITIL), and remote work dynamics. Methodologies : Empirical studies, mixed-method research, case analysis, and Delphi studies. Recent Publications (2024–2025) explore reciprocal relationships between BPM and digitalization, generative AI for sustainable co-creation, and open innovation workspaces in specialized industries. His 2018–2021 work on co-creation in SME networks, worklife ergonomics in digital environments, and robotic process automation impacts remains influential. Collaborative Networks : Frequently co-authors with Dag Håkon Olsen , Niels Frederik Garmann-Johnsen , and Jon Iden , focusing on cross-municipal healthcare systems, digital governance, and IT competence frameworks.

• Digital Transformation
• Business Process Management
• Co-creation
• +5 more

Laura E. Mercer Traavik serves as Associate Professor in the Department of Leadership and Organization at Kristiania University College's School of Communication, Leadership and Marketing. Her expertise spans negotiation strategies, diversity management, and inclusive leadership frameworks within Norwegian organizational contexts, with particular focus on workplace inclusion for caregivers and seniors. Her research examines intersectional dynamics of diversity through lenses of cross-cultural management, economic psychology, and negotiation theory. Current investigations address AI ethics implications for inclusive workplaces, individual motivations for inclusive behavior, and structural barriers faced by women in leadership. She analyzes how fixed mindsets about technology impact virtual team performance and explores employer branding strategies that authentically integrate diversity values. Analysis of her recent publications reveals intensifying focus on practical applications of inclusion science in Scandinavian workplaces. Key trends include caregiver employee integration, senior workforce retention strategies, and the ripple effects of egalitarian team structures. Her work increasingly bridges digital transformation challenges with human-centered inclusion practices, emphasizing contextual Norwegian workplace dynamics while contributing to global diversity discourse through empirical studies on mindset interventions and policy rationales. Traavik actively disseminates findings through NEON Days and EDI conferences, presenting on topics including caregiver inclusion frameworks, senior career development pathways, and cross-cultural negotiation patterns. Her research methodology combines organizational case studies with large-scale policy analysis, notably through MIPEX database applications in Scandinavian contexts.

• Negotiation
• Diversity Management
• Inclusive Leadership
• +4 more

Thomas Laudal is an Associate Professor at the University of Stavanger, affiliated with the UiS School of Business and Law, Department of Innovation, Management and Marketing. His academic work bridges business strategy, sustainability, and innovation, with a strong focus on institutional and societal implications of emerging technologies and business models. His research interests center on sustainable business strategies, corporate social responsibility (CSR), institutional perspectives on innovation, public goods economics, circular economy, and digital transformation in healthcare. He explores how organizations can align profitability with social and environmental responsibility, particularly in regulated sectors such as healthcare and public procurement. Laudal's recent publications reflect a consistent interdisciplinary focus on sustainability, innovation, and responsible business practices. His work spans circular value chains, responsible innovation in healthcare, economies of scale in digital service models (XaaS), and stakeholder dynamics in sustainable construction. These contributions highlight a trajectory toward integrating technological change with ethical and systemic considerations. No scientific awards are listed in the provided text. Laudal has supervised or collaborated with numerous researchers and has contributed to major research projects on digital health, circular economy, and CSR. He teaches courses in organizational theory and sustainable business practices at both undergraduate and graduate levels. His work includes formative contributions to understanding patient-initiated innovation, hairy goals in change management, and the role of public goods in economic systems. He has also been active in public engagement, presenting on AI in healthcare and future care models such as 'Carebnb' platforms. He is associated with research initiatives including the 'Releasing the power of the user' project and has contributed to workshops and seminars on digital health, circular economy, and responsible innovation. His collaborations span multiple institutions and disciplines, particularly in sustainability and healthcare innovation.

• Sustainable Business Strategies
• Corporate Social Responsibility (CSR)
• Institutional Theory
• +12 more

Liliia Oprysk is a Professor at the Faculty of Law, University of Bergen. She specializes in EU Intellectual Property law, digital content regulation, data protection, and IT law. Her research also explores Ukrainian legal harmonization with EU acquis and war-related legal challenges. Affiliation: Faculty of Law, University of Bergen Research Interests: EU Copyright Law, Digital Economy Regulation, EU-Ukraine Legal Integration Her research focuses on: EU copyright harmonization Digital content distribution and consumer rights Data protection in digital markets Ukraine's legal alignment with EU standards Impact of war on legal systems AI and emerging technology regulation Publications highlight her work on: Copyright exhaustion in digital markets Legal implications of streaming services War crimes accountability Ukrainian children deportation analysis EU acquis harmonization Digital consumer contract law She teaches EU Copyright Law (JUS2314/JUS3514) and GDPR & Privacy (DIGI113/DIGI613), serving as course coordinator for JUS2314 since 2025. Her practical experience includes IT operations, digital compliance, and technology contract negotiations.

• EU Intellectual Property Law
• Digital Content Distribution
• Data Protection Law
• +6 more

John Krogstie is a Professor of Information Systems at NTNU’s Department of Computer Science and Informatics (IDI). He has held leadership roles including Head of IDI (2017–2021), Director of NTNU Digital (2022–2023), and Head of the Center for Sustainable ICT (CESICT). He co-founded goforIT (2020) and established the NOKIOS conference in 2007. Krogstie holds a PhD (1995) and master’s (1991) from NTNU, with research spanning information systems development, sustainable digitalization, and neuro-conceptualization. His work emphasizes sustainable smart cities, eGovernment, and AI applications. He has authored over 380 publications, achieving an H-index of 68 (Google Scholar, 2024). Education: PhD in Information Systems, NTNU, 1995 Master’s in Information Systems, NTNU, 1991 Research Interests: Krogstie focuses on sustainable ICT integration, AI-driven urban solutions, and modeling methodologies. He explores neuro-conceptualization techniques using biometric data to enhance model comprehension. His work bridges academia and industry, addressing challenges in digital transformation and environmental sustainability. Publications Trends: Recent articles emphasize AI in smart cities, sustainable design frameworks, and neuro-cognitive modeling. Key themes include energy systems digitalization, ethical AI governance, and interdisciplinary sustainability collaboration. Awards & Recognition: H-index 68 (Google Scholar) reflects his impactful contributions. He has led IFIP committees (e.g., IFIP TC8 Vice-Chair) and chairs international conferences like NOKIOS. Grants & Advising: Open research assistant positions (2025) focus on biometrics in neuro-conceptualization and Active Knowledge Models (AKM). He has supervised numerous initiatives, including the goforIT project and the CESICT sustainability framework. Labs & Teams: Leads the CESICT and collaborates with SINTEF on smart city projects. Engages in international networks like IFIP WG 8.1 and the EU’s Smart Cities initiatives.

• Information Systems Development
• Sustainable Digitalization
• eGovernment
• +5 more

Professor Viktoria Stray is a leading figure in agile software development at the University of Oslo 's Department of Informatics and serves as a senior researcher at SINTEF Digital . With over 15 years at UiO and 8 years at SINTEF, she combines academic rigor with industry expertise in large-scale agile transformations. Her work bridges empirical software engineering, generative AI integration, and coordination mechanisms in distributed teams. PhD in Informatics (2014), MSc in Computer Engineering (2007) Executive Guest Editor for Information and Software Technology special issue on Generative AI Her research focuses on: Generative AI in developer workflows Large-Scale Agile coordination Autonomous Teams dynamics Human Factors in software testing Digital Transformation in public sector Recent publications analyze trends in agile coaching, hybrid team communication, and empirical studies on coordination mechanisms. She supervises numerous PhD and master's students while teaching large cohorts in courses like IN2000 (680+ students). As Deputy Head of Department and leader of the Gemini Center for Software Engineering, she shapes both institutional and industry-wide practices.

• Agile Software Development
• Generative AI
• Coordination in Distributed Teams
• +7 more

Kyriaki Papageorgiou is a Senior Researcher and Marie Skłodowska-Curie Fellow at the Department of Interdisciplinary Studies of Culture, Faculty of Humanities, Norwegian University of Science and Technology (NTNU). She holds a PhD in Cultural Anthropology and investigates the intersection of education, innovation, and technological transformation, with a focus on robotics, AI, and systemic societal challenges. Her work employs ethnographic methods and anthropological theory to analyze innovation ecosystems and pedagogical futures. Research Interests include: AI and Robotics in Societal Contexts Future of Learning and Academic Work Social Innovation and Ecosystems Ethics of Co-Creation and Scaling Digital Transformation in Education Recent Publications (2020–2025) span AI ethics, educational reform, and social innovation, often bridging cultural anthropology with technology studies. Key trends include: Critical analysis of human-AI collaboration and trust Design of challenge-based and co-creative learning models Role of technology in pandemic response and daily life Evaluation of social innovation labs and ecosystems Scientific Awards include: Marie Skłodowska-Curie Fellowship Fulbright Scholarship She has secured grants from the US National Science Foundation (NSF), EU Framework Program (FP7, H2020), Wenner-Gren Foundation, and UNESCO, and has served as an independent expert for the European Commission and other governmental agencies. Kyriaki leads the Fusion Point collaborative research program in Barcelona.

• Cultural Anthropology
• Social Innovation
• Artificial Intelligence in Society
• +3 more

Arild Skarsfjord Berg is a Professor at OsloMet's Faculty of Technology, Art and Design, Department of Product Design, with a Doctor of Art in Artistic Research in Public Space and a MA in Ceramic Art. He leads the Product Design and Cultural Sustainability research group, focusing on cross-disciplinary innovation between design, health technology, and material-based artistic practices. Research Interests: Product design with emphasis on material aesthetics Collaborative methods across design, healthcare, and technology Sustainability in professional education Neurotechnology and ethical design scenarios Ceramic art interventions in public spaces Academic pedagogy and teaching excellence Publication Trends: His work demonstrates a unique synthesis between design research and healthcare innovation, with increasing focus on neurotechnology ethics and salutogenic approaches. Materiality remains a consistent thread across both artistic practice and technical applications. Scientific Awards: Fellow of Merited Teachers at OsloMet

• Product Design
• Artistic Research
• User Participation
• +12 more

Attila Bekkvik Szentirmai is an Assistant Professor and Ph.D. research fellow at the Department of Design, Norwegian University of Science and Technology (NTNU), focusing on Universal Design of ICT, Human-Computer Interaction, and Augmented Reality (AR) development. With prior academic roles at the University of Agder and Oslo Metropolitan University, his interdisciplinary background bridges Social Science, Art, Software Engineering, and Digital Health. He teaches Web of Things (IDG3006) and leads innovative AR projects like AReader (AR screen reader), ARachnoAID (phobia treatment), and guARdian (daily decision support). Current role: Assistant Professor at NTNU Research focus: Universal Design, AR/VR accessibility, e-Learning/e-Health Teaching: Web of Things (IDG3006) course coordinator Previous roles: Assistant Professor at University of Agder and OsloMet His recent publications emphasize accessible AR/VR design, including humor/ethics in technology, sustainable AR solutions, and critical analysis of accessibility paradoxes. Projects span education (SlidAR classroom presentations), health (CybAR sickness, ARachnoAID), and sustainability (HoloWatch, E-Waste gaming). All work aligns with universal design principles to ensure inclusivity across diverse user needs. Scientific contributions include developing new accessibility heuristics for AR, analyzing AI-AR integration for decision-making, and creating prototypes for banknote recognition and indoor navigation. His publications bridge theoretical research with practical implementations, often using Unity/Vuforia for development and cross-disciplinary collaboration. His XR Research & Development timeline highlights innovations such as Deadliest Animals (2017, first universally designed WebVR), UndARtheSkull (2019, brain anatomy education), and 2023 projects like Jedi fARt Pro (humorous AR), Meta IntARaction (Quest3 AR), and XR Portal (AR-VR integration). Current Ph.D. work focuses on evidence-based accessibility guidelines for AR, aiming to impact social inclusion, academic research, and industry UX practices.

• Universal Design of ICT
• Human-Computer Interaction
• Augmented Reality
• +5 more

Aurora Hoel is a Professor of Media Studies and Visual Culture at the Department of Art and Media Studies at the Norwegian University of Science and Technology (NTNU), where she also serves as Deputy Head of the strategic focus area "Ocean and Coast." She leads the NFR project "Visualizing the Deep Sea in the Age of Climate Change" (2023-2027) and the research group "AI Media." Previously, she served as Vice-Dean for Art and Innovation at the Faculty of Humanities at NTNU (2021-2024). Hoel has held various prestigious academic positions, including Novo Nordisk Foundation Visiting Professor in Art & Art History at Aarhus University, Professor of Media Aesthetics at the University of Oslo (2019-2020), and Marie Skłodowska-Curie Actions (MSCA) Fellow at Humboldt University in Berlin (2015-2017). She has also been a visiting professor at Harvard University, UC Berkeley, Stony Brook University, the University of Copenhagen, École des hautes études en sciences sociales, and École polytechnique. Her research focuses on images and imaging technologies, including photography, scientific instruments, medical visualization, and underwater robots and sensors, with particular attention to their epistemological implications. Hoel's work explores the active dimension of images and image technologies (their "agency") and aims to develop operational aesthetics and theories of knowledge. Her research spans disciplines such as image theory, visual culture, media philosophy, and science and technology studies. Hoel's recent publications reveal a strong focus on operative images, technological mediation, and the philosophical dimensions of visualization. Her work increasingly examines how AI-generated imagery and deep learning systems transform our understanding of visual representation and knowledge production. She has developed frameworks for analyzing the "operational" status of images that go beyond traditional representational models. She has led several major research projects, including the MSCA project "Styles of Objectivity: Agency, Alignment and Automation in Image-Guided Surgery" (2015-2017), "Face of Terror: Understanding Terrorism from the Perspective of Critical Media Aesthetics" (2016-2021), and "Picturing the Brain: Perspectives on Neuroimaging" (2010-2014). She has also participated in projects like "Digitization and Diversity" and "Photography in Culture." Her artistic collaborations include exhibitions such as "Operating Fields: Medical Imaging Across Art and Science" (2014), "A-me: Augmented Memories" (2013), and her 2007 exhibition "Maktens bilder" at the Norwegian Museum of Justice, demonstrating the interdisciplinary nature of her scholarly practice.

• Media Studies
• Visual Culture
• Image Theory
• +7 more

Gunnar Ellingsen is a Professor at the Department of Health and Care Sciences , UiT The Arctic University of Norway, and holds a Professor II position at the National Center for e-Health Research . His work focuses on the implementation and use of digital systems in healthcare. Key research areas: Electronic Health Records (EHRs) , Artificial Intelligence (AI) in Radiology , Medication Management , and Technology-Supported Work Practices . He explores the interplay between national integration components and local healthcare practices , including challenges in Municipal Health Services and Specialist Care . His recent publications address AI deployment , EHR configuration , and covert recording implications in clinical settings. Ellingsen is an associate editor for the Journal of Computer Supported Cooperative Work (CSCW) and contributes to educational programs in Digitalization and Research Ethics . He collaborates with cross-disciplinary teams and participates in projects like RehabLos and MH Vest U.11.338 .

• Health Informatics
• Electronic Health Records (EHR)
• Artificial Intelligence in Healthcare
• +4 more