Find Academic Supervisors

Crina DamsaView profile

Professor

• Higher Education
• Collaborative Learning
• Interdisciplinary Learning
• +4 more

Crina Damsa is a Professor at the Department of Education, University of Oslo. Her research focuses on collaborative learning, interdisciplinary learning, and the role of digital technologies (including AI) in knowledge work and education. She leads projects like Unpacking collaboration: Multimodal analysis and combined method designs and Learning Ecologies in Higher Education , and is involved in research groups such as HEDWORK and LIDA. PhD in Educational Research, University of Oslo (2013) MSc in Learning Design and Technology, Utrecht University (Netherlands) BA in Language and Literature, Babes-Bolyai University (Romania) Her work examines sociocultural and sociomaterial aspects of learning, with a focus on student-centered environments, design-based research, and multimodal learning analysis. She supervises PhD students and contributes to methodological advancements in learning sciences. Editorial roles: Area Editor for Learning in Context , member of editorial boards for journals like Journal of the Learning Sciences and Frontline Learning Research Projects: Academic Hospitality in Interdisciplinary Education (AHIE) , Digital Integration of Video Assessment (DIVA) , Digital Tracing of Collaborative Learning (DigiT) , Global Teacher Education (GatherED)

• Large-scale Agile Software Development
• Software Process Improvement
• Empirical Software Engineering
• +2 more

Torgeir Dingsøyr is an Adjunct Chief Research Scientist and Research Professor in the Department of IT Management at Simula Metropolitan, a leading Norwegian research institute specializing in software engineering and digital technologies. His role encompasses both strategic research leadership and active empirical investigation into large-scale agile software development and software process improvement. Research Interests Large-scale agile software development methods and governance. Coordination and communication challenges in very large development programmes. Software process improvement (SPI) with emphasis on practical, evidence-based approaches. Teamwork effectiveness and autonomous teams in continuous deployment environments. Digital transformation project organization, particularly within Scandinavian contexts. Across more than two decades, Dingsøyr has produced influential handbooks and empirical studies that bridge the gap between SPI theory and industrial practice. His work increasingly addresses second-generation agile methods, emphasizing safety nets for high-risk development and autonomy at scale. Scientific Awards No specific awards listed in the provided text. Advising & Grants Dingsøyr collaborates extensively with industry and academic partners to secure funding for longitudinal case studies and improvement initiatives. While individual student names are not provided, his publications demonstrate active supervision and mentoring within multi-partner projects. Laboratory & Teams He operates within Simula Metropolitan’s research environment, contributing to interdisciplinary teams that unite software engineering researchers, data scientists, and industrial practitioners to advance empirical software engineering and agile transformation.

Kristin BraaView profile

Professor

• Mobile Health (mHealth)
• Health Information Systems
• Action Research Methods
• +3 more

Kristin Braa is a Professor at the Department of Informatics, University of Oslo, and serves as Director of the HISP Center. Her career includes an 8-year tenure as Research Director at Telenor, where she established a Research and Innovation Center in Malaysia. Academic Roles: Vice Head of Department of Informatics, head of Information Systems (IS) research group Research Focus: Mobile extensions of open-source DHIS2 software for low-resource settings, action research methods, sustainable health information systems Research Themes: She investigates innovative approaches to support rural healthcare workers and underserved populations, emphasizing long-term engagement in national health systems. Her projects include MobiHealth (2010–2014) and NORAD-funded initiatives (2010–2014) for health information systems in developing countries. Scientific Awards: 2023 AIS Impact Award (with Jørn Braa) 2020 Roux Prize (with Jørn Braa) 2013 University of Oslo Innovation Prize 2013 Researcher of the Year (Faculty of Mathematics and Natural Sciences, UiO) 2011 ICT and Energy Researcher of the Year 2011 Rosing Prize Finalist for rural Bangladesh health initiative Collaborations: Active in the IS research group and Climate Health Network. She advocates for sustainable, community-empowering information systems through participatory design and sociotechnical approaches.

Viktoria StrayView profile

Professor

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

Yngve LindsjørnView profile

Senior Lecturer

• Software Engineering
• Agile Software Development
• Teamwork in Software Development
• +3 more

Yngve Lindsjørn serves as a Senior Lecturer in the Department of Informatics at the University of Oslo, where he contributes to the Software Engineering research group. His academic profile centers on empirical investigations of teamwork dynamics within agile software development frameworks, with particular emphasis on educational applications and gender diversity factors. His research spans core areas of Software Engineering, Agile Software Development, and Empirical Software Engineering, with specialized focus on Teamwork in Software Development, Gender Diversity in Software Engineering, and Software Engineering Education. Current investigations examine how team composition, collaboration patterns, and agile practices influence project outcomes in both industrial and capstone course settings. Analysis of his publication trajectory (2013-2025) reveals evolving research priorities: early work concentrated on agile team performance metrics, while recent studies increasingly integrate gender diversity considerations through mixed-methods approaches. His empirical work consistently employs large-scale student cohorts (e.g., 790 participants in 2025) and industrial case studies to validate teamwork effectiveness models. Lindsjørn operates within the Software Engineering research group at the Department of Informatics, University of Oslo, which conducts foundational research to advance evidence-based practices in software development methodologies and team dynamics.

James Charles WenView profile

Professor

• Human Computer Interaction
• Augmented Reality
• Virtual Reality
• +5 more

James Charles Wen serves as Professor of Human Computer Interaction at Molde University College's Faculty of Logistics, where he leads the Organic Digital Domain (ODD) Research Group and directs the Future Educational Technologies Project, including the ELF (Enhanced Lecture Flow) initiative for improving teacher-student classroom dynamics. His academic journey spans Cornell University (Physics and Computer Science undergraduate), Brown University (Computer Science graduate studies), and a PhD from the University of Canterbury under AR pioneer Mark Billinghurst. Cornell University: B.S. Physics and Computer Science Brown University: Graduate Studies Computer Science University of Canterbury: PhD Computer Science Wen's research explores the fundamental cognitive and social impacts of emerging technologies at the human-computer intersection. His work establishes quantitative relationships between technology design and human behavior - such as how AR navigation tools affect spatial cognition, how digital interfaces distort social comfort zones, and how humans form attachments to robot teammates. Current projects investigate human-AI collaboration dynamics and educational technology interventions, emphasizing conscientious design that preserves innate human capacities while leveraging technological benefits. Analysis of Wen's publication history reveals consistent focus on cognitive load management in human-technology interaction, evolving from spatial navigation studies (2013-2014) to social robotics (2018) and now educational/AI integration (2022-2025). His work bridges HCI, cognitive psychology, and social computing with strong methodological diversity - employing empirical quantitative studies, gamified simulations (e.g., Unity-based space mining missions), and real-world deployments like cooperative photography apps. No scientific awards are documented in the provided materials. Wen mentors graduate students in XR and IoT domains while leading the ODD Research Group's investigations into technology's cognitive impacts. His service extends to academic leadership as former president of the New York Association of Phi Beta Kappa (managing 3,000+ members and scholarship programs) and conference organization for NordiCHI and CHINZ. Though specific grants aren't detailed, his research appears supported through university affiliations and project-based funding evidenced by sustained publication output. The ODD Research Group and ABC-AI (Applied, Basic, and Conscientious Artificial Intelligence) form Wen's primary research ecosystems, developing tools like ELF for educational enhancement and conducting experiments on human-machine teaming using Unity simulations. These teams maintain active collaboration across HCI, cognitive science, and educational technology domains with practical applications in classroom dynamics, navigation systems, and social robotics.

• Software Engineering
• Agile Methodologies
• Teamwork in Software Development
• +3 more

Yngve Lindsjørn is an Associate Professor in the Department of Computer Science at Oslo Metropolitan University's Faculty of Technology, Art and Design. His research focuses on agile software development, teamwork quality, project success factors, and educational technology. Research Interests: Software Engineering, Agile Methodologies, Teamwork Dynamics, Technical Debt, and Educational Technology. Key Contributions: Co-authored studies on gender composition in agile teams, teamwork effectiveness models, and capstone course design. Recent publications analyze team composition in agile education, large-scale project challenges, and gender dynamics in software teams. His work appears in journals like Empirical Software Engineering and conference proceedings for XP and CHASE . Notable collaborations include researchers from the University of Oslo, Norwegian Computing Center, and IT didactic initiatives. He contributes to disseminating agile principles in software education and has co-authored reports on teamwork assessment frameworks.

• Software Engineering
• Agile Software Development
• Software Engineering Education
• +3 more

Steffen Almås is a Lecturer in Software Engineering at the Department of Informatics, University of Oslo, Faculty of Mathematics and Natural Sciences. He is actively engaged in research and teaching within software engineering, with a focus on agile methods and educational practices. Research Interests: His work centers on agile software development education, teamwork dynamics in student projects, and the role of team composition, including gender diversity, in learning outcomes. He investigates how collaborative structures influence project success in capstone courses. Publication Trends: His recent publications (2021, 2024) reflect a strong emphasis on empirical studies in software engineering education, particularly in agile and team-based learning environments. The research bridges pedagogical theory and software engineering practice. No scientific awards listed. Advising and Grants: There is no public information available regarding students supervised or research grants obtained. Labs and Teams: He is affiliated with the Software Engineering (SE) research group at the University of Oslo, contributing to research in software development methodologies and education.

• E-learning
• Instructional Design
• Computer-Supported Cooperative Work
• +3 more

Knut Arne Strand is an Associate Professor at the Department of Computer Science, Norwegian University of Science and Technology. He focuses on e-learning design, instructional methodologies, and collaborative educational systems, with a career spanning two decades of research and teaching in digital learning environments. MS in Informatics (1994), University of Trondheim PhD in Information Technology (2012), Norwegian University of Science and Technology His research explores concurrent design in educational contexts, distributed collaboration frameworks, and problem-based learning innovations. Recent work examines refugee education through NGO-led entrepreneurship programs and automated coding style feedback for programming courses. Publications reveal consistent focus on instructional design and educational technology across 15 years, with recurring themes in collaborative learning , curriculum development , and digital learning infrastructure . Strand frequently collaborates with Norwegian educational institutions and international partners.

• Human-Computer Interaction
• Artificial Intelligence
• Applied Machine Learning
• +12 more

Kshitij Kshitij is an Associate Professor in the Department of Computer Science at the Norwegian University of Science and Technology (NTNU), with additional affiliation to the Department of Language and Literature. His research bridges Human-Computer Interaction, Artificial Intelligence, and Educational Technology, focusing on multimodal data to understand learning and collaboration. His research interests include Applied Machine Learning, Multimodal Learning Analytics, Human-Computer Interaction, and Educational Technology. He investigates how physiological and behavioral data—such as eye-tracking, EEG, facial expressions, and system logs—can reveal insights into user expertise, motivation, and performance. His work applies empirical and mixed-methods approaches to contexts like MOOCs, children’s coding activities, e-commerce, and business process modeling. He has pioneered the use of Extreme Value Theory for analyzing collaborative behavior in time-series data. His recent publications demonstrate a strong trend toward integrating AI and multimodal sensing in educational settings, particularly in understanding children’s collaborative and cognitive states, designing intelligent feedback systems, and enhancing teacher dashboards. His work increasingly explores generative AI, embodied learning, and neuro-adaptive environments. Eye-tracking and AI for motivation and learning (Smart Learning Environments, 2020) Wearable sensing for learning experience (IJHCS, 2020) Extreme Value Theory for collaboration prediction (Journal of Learning Analytics, 2017) Multimodal effort profiling in children (JCAL, 2025) Neuro-adaptive business process modeling (CEUR, 2024) Kshitij actively mentors students and early-career researchers, including Serena Lee-Cultura, Sofia Papavlasopoulou, and Jennifer Olsen. His collaborative work often involves interdisciplinary grants related to learning analytics, educational technology, and human-centered AI. He contributes to major initiatives such as the Multimodal Learning Analytics Handbook (Springer, 2022). He is a core member of research teams focused on multimodal data in education, working closely with the MULTIS group at NTNU and international collaborators. His lab integrates wearable sensors, interactive surfaces, and AI to build intelligent, adaptive learning environments.

Sune Dueholm MüllerView profile

Professor

• Digital Transformation
• Health Information Systems
• Process Innovation
• +3 more

Sune Dueholm Müller is a Professor in Information Systems at the University of Oslo. Previously held roles include Head of the Information Systems Research Group at Aarhus University (2017-2022) and leadership positions in academic programs such as the Master of IT and Master of Science in Information Technology. His research focuses on digital transformation in healthcare, process innovation, and education systems. He has supervised 5 PhD students, 25 research apprentices, and over 50 master's theses. Notable awards include the 2020 Best Practices in Education Award. He has developed a digital teaching platform and contributed to aligning educational curricula with labor market needs through job ad analytics. Research interests span healthcare technology integration, organizational change, and socio-technical systems. Recent work addresses challenges in cardiac arrest team coordination, digital divide in healthcare, and AI-driven learning. Active in editorial roles and conferences, he bridges academic research with practical applications through student-involved projects. His work emphasizes closing theory-practice gaps in education through student research initiatives. Publications: Over 50 peer-reviewed articles in journals like International Journal of Information Management, Journal of Biomedical Informatics, and Scandinavian Journal of Information Systems. Grants: Involved in projects addressing healthcare IT, digital innovation, and educational reform. Labs/Teams: Member of the Information Systems research group at UiO and previously at Aarhus University.

• Computer Science Education
• Didactics
• Group Work in Education
• +3 more

Henrik Hillestad Løvold is a Lecturer at the Department of Informatics , UiT The Arctic University of Norway. His work focuses on computer science didactics , innovative teaching methods, and digital education for students and teachers. Key Roles: Lecturer in Introduction to Computational Programming (INF-1049) and Object-Oriented Programming (INF-1400), developer of continuing education programs for science teachers. Education: Bachelor’s and Master’s degrees from the University of Oslo in Computer Science and Informatics, respectively. Research Interests center on group work in computer science education , modular-based backward teaching , and digital pedagogical tools . He has published extensively on team formation and assessment in software engineering courses and co-authored textbooks like Objektorientert programmering med Python (2024). Recent Publications include studies on collaborative learning strategies, programming education in secondary schools, and workshops on teamwork in software engineering. His work integrates pedagogy , curriculum design , and technology-driven teaching . Contact: henrik.h.lovold@uit.no , Tromso, UiT.

• Higher Education Pedagogy
• Collaborative Learning
• Interdisciplinary Teamwork
• +3 more

Ela Sjølie is a Professor of Education at the Department of Industrial Economics and Technology Management, NTNU. She leads the Experts in Teamwork (EiT) research group, focusing on teaching and learning in higher education, particularly collaborative learning, interdisciplinary teamwork, and practice theory. Her career includes roles as Associate Professor at NTNU (2017–2023), PhD research on teacher learning (2009–2014), and prior experience in software development and surgical tool research at Sintef and GE Vingmed. Education: PhD in Education, NTNU (2014) MSc in Electrical Engineering, Universität Karlsruhe (1997) Research Interests: Her work centers on active learning strategies, collaborative pedagogies, and the application of practice theory to academic practices. She explores how interdisciplinary teamwork can enhance professional learning and has led international projects on virtual team dynamics and educational praxis during crises like the pandemic. Outreach & Engagement: Ela has presented at global conferences (e.g., ECER, AERA) and contributed to policy discussions on digital learning environments. She co-authored books on practice architecture frameworks and advises on educational reforms, including the role of communication in teacher training. Labs/Teams: Head of the Experts in Teamwork (EiT) group, which develops interventions for collaborative skill training and virtual team facilitation in higher education.

Rune Werner FensliView profile

Researcher

• Health Informatics
• eHealth
• Health Care Technology
• +9 more

Rune Werner Fensli is a Researcher at the Centre for eHealth , affiliated with the University of Agder in the Department of Information and Communication Technology . With a Ph.D. in Wireless ECG Sensors (2008) , his work focuses on health informatics, eHealth, and healthcare technology. He has extensively studied telecare, telehealth, collaborative teamwork across organizational borders, data security in cloud-based medical services, usability evaluation of medical devices, and innovation in future healthcare services. Research Areas: Health Informatics, eHealth, Wireless Sensors, Body Area Networks, Chronic Disease Management His publications from 2015–2023 demonstrate expertise in remote monitoring systems (e.g., ECG247 Smart Heart Sensor), patient-centered care models, collaborative health information systems, and telemedicine service design. He emphasizes user-centered design, organizational integration, and technical infrastructure for sustainable healthcare solutions.

• Internet of Things (IoT)
• Smart City Learning
• Game-Based Learning
• +4 more

Monica Divitini is a Professor in Cooperation Technologies at the Department of Computer Science, Norwegian University of Science and Technology (NTNU), since 2002. She holds a PhD in Computer Science from Aalborg University, Denmark. Her research bridges technology-enhanced learning, Internet of Things (IoT), and collaborative systems. Education: PhD in Computer Science, Aalborg University Her work focuses on smart city learning , game-based education , and collaborative technologies . She explores how IoT can transform educational practices and urban planning. Key projects include MIRROR , NORDIC-LEAF , and FABULA , which emphasize social and mobile learning frameworks. Divitini has participated in multiple EU-funded initiatives such as CO-CREAT and ASTRA , and national projects like MOTUS . Her publications span topics like privacy-aware games , urban sensing pedagogy , and digital competences for teachers . She contributes to ACM and IEEE conferences, focusing on crisis management systems and reflective learning tools .