Roger Skjetne is a Professor in Marine Control Engineering at the Norwegian University of Science and Technology (NTNU), affiliated with the Department of Marine Technology under the Faculty of Engineering. His research focuses on autonomous ships, dynamic positioning systems, energy and power management for hybrid-electric vessels, Arctic stationkeeping, and ice management systems. He leads the SFI Autoship research center, which aims to advance autonomous ship technology for safe and sustainable operations in Arctic and maritime environments. Key projects include DigitalSeaIce (multiscale sea ice observation), ENDURE (safety solutions for autonomous ships), and ZEVS (zero-emission passenger vessel systems). His work integrates control systems, robotics, and environmental monitoring to address challenges in marine autonomy and energy efficiency. Skjetne’s research has produced over 150 publications since 2020, with a focus on hybrid control barrier functions, energy optimization, and autonomous navigation. He collaborates with industry partners to translate academic findings into practical maritime solutions.
David Palma is an Associate Professor at the Department of Information Security and Communication Technology , Faculty of Information Technology and Electrical Engineering , Norwegian University of Science and Technology (NTNU). His research focuses on next-generation networking paradigms, including intent-based networking , knowledge-driven management , and IoT device automation . Key research interests include: Human-centric Internet of Things (IoT) Ontology-based network management Cloud/Edge/Fog computing for IoT Arctic and satellite communication 5G integration in smart grids His recent publications (2024-2019) highlight trends in knowledge graphs for network compliance, XR applications in critical sectors, UAV-based emergency networks , and 5G-enabled smart grid protection . Articles also explore Arctic connectivity via satellite swarms and energy-efficient IoT management.
Jørn Vatn is a Professor in reliability, availability, maintainability, and safety at the Norwegian University of Science and Technology (NTNU) , specifically within the Faculty of Engineering and the Department of Mechanical and Industrial Engineering . His work focuses on integrating risk assessment and maintenance strategies for critical infrastructure. MSc courses: TPK4120 Safety and Reliability Analysis , RAMS optimization PhD course: PK8200 Risk Influence Modelling and Risk Indicators Continuing Education: Maintenance Optimization , Safety and Reliability in Railway Applications , Project Risk Management , Risk Reducing Measures Research Interests span maintenance management, reliability modeling, condition-based maintenance, risk influence analysis, and digital twin applications in infrastructure. His methods emphasize statistical analysis and Markov processes to model degradation and optimize maintenance scheduling. The 15 most recent articles (2025-2022) demonstrate trends in applying Markov models , digital twins , and data-driven optimization to offshore wind turbines, railways, hydrogen pipelines, and cyber-physical systems. Subfields include predictive maintenance, stochastic degradation modeling, and infrastructure resilience. He leads the ROSS Gemini Centre and the RAMS group , advising on risk modeling and maintenance strategies. Collaborations involve SINTEF, industry partners, and international researchers.
Magne Haveraaen is a Professor in the Department of Informatics at the University of Bergen, where he leads the Bergen Language Design Laboratory (BLDL). He is actively engaged in research on programming theory, formal methods, language design, and high-integrity systems. His work centers on algebraic specifications, generic programming, domain engineering, and the design of the Magnolia programming language. He has been a long-standing instructor of key courses such as INF220 (Program Specification) and INF222 (Programming Languages), and contributes to national and international academic forums. University: University of Bergen School: Faculty of Mathematics and Natural Sciences Department: Department of Informatics Academic Rank: Professor Email: magne.haveraaen@uib.no His research interests include programming language design, formal specifications, generic and mouldable programming, multicore and GPU computing, and algebraic methods in software development. He emphasizes correctness, reuse, and high-integrity software through theoretical and practical innovations. He has contributed extensively to the literature on algebraic reasoning, array programming, and domain-specific abstractions. The recent publications highlight a consistent focus on algebraic semantics, language design (especially Magnolia), array programming, and formal verification. Themes across these works include correctness by design, specification-driven development, and adapting programming models for modern architectures. His involvement in workshops like ARRAY, WGP, and CALCO underscores his leadership in programming language theory. No scientific awards are listed in the provided texts. He advises students and welcomes collaboration in programming theory, language design, and formal methods. He has led funded projects such as MoSIS and SHIP and is involved in the High Integrity Systems Forum. He organizes and participates in key conferences including NWPT, GPCE, and SCAM. He leads the Bergen Language Design Laboratory (BLDL), which focuses on experimental language design, and contributes to the SAGA initiative on scientific computing with algebraic abstractions. His work integrates theory with practical tooling and language implementation.
Frank Eirik Abrahamsen is an Associate Professor in the Department of Sport and Social Sciences at the Norwegian School of Sport Sciences. He earned his PhD in 2007 with research focused on performance anxiety in elite sports. With extensive practical experience, Abrahamsen has worked with international-level athletes across more than 40 sports, participated in four Olympic Games and four Paralympic Games, and consulted with the Norwegian national male soccer team. His research interests center around creating optimal environments for development, wellbeing, and peak performance across all athletic levels. Abrahamsen's scholarly work primarily explores motivation, stress, anxiety, focus and concentration within applied sport psychology contexts. His recent publications demonstrate a broadening scope that now includes rehabilitation science, particularly examining how sports-based interventions benefit individuals with acquired brain injuries. Abrahamsen's teaching portfolio spans bachelor's degrees in training, coaching and sports psychology, master's degrees in coaching and sports psychology, and PhD-level instruction on practical research ethics and privacy. His work on projects like Mind in Motion (MiM) and research into health-compromising behaviors among Norwegian youth athletes reflects his commitment to translating theoretical knowledge into practical applications that benefit athletes at all levels.
Niels Frederik Garmann-Johnsen serves as an Associate Professor in the Department of Information Systems at the University of Agder, Norway. His academic profile combines extensive management experience from commerce, industry, and consulting with strong theoretical foundations from his PhD in Social Science and Information Systems and M.Sc. from Norway's School of Commerce. Dr. Garmann-Johnsen's research centers on Business Process Management , Service Design Thinking , and eHealth innovation . His work explores how organizations can leverage digital technologies to improve service delivery, particularly in healthcare contexts. He investigates the intersection of web 2.0 technologies , mobility , and collaborative innovation to create more effective business models and service architectures. His research often employs co-creation methodologies to develop solutions that address real-world challenges in both public and private sectors. His recent publications demonstrate a clear trajectory toward integrating design thinking with digital transformation initiatives, particularly in healthcare contexts. The research shows increasing focus on nudge theory in eHealth applications, co-creation frameworks for sustainable business models, and process innovation in small and medium enterprises. His work bridges technical information systems with human-centered design approaches. Dr. Garmann-Johnsen has been actively involved in several research initiatives including the Agder Living Lab project and the SAMBA project addressing child poverty consequences. His collaborative approach is evident in his numerous co-authored publications across international conferences and journals. He is affiliated with research groups including CEDIT and the Information and Communication Technologies for Development (ICT4D) group at the University of Agder, where he contributes to advancing knowledge in digital innovation and service design.
Astrid Dalhaug serves as a University Lecturer at the Department of Clinical Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway. Her academic work focuses on clinical oncology with particular emphasis on cancer treatment outcomes in rural healthcare settings across Northern Norway. Dr. Dalhaug's research interests center on oncology, specifically radiotherapy, palliative care, and survival prediction models for cancer patients. Her work frequently addresses the challenges of delivering quality cancer care in remote regions with scattered populations. She investigates prognostic factors in various cancer types including prostate cancer, lung cancer, and brain metastases, with special attention to biomarkers, treatment fractionation, and demographic variables that influence patient outcomes. Analysis of her publication record reveals a consistent focus on developing and validating practical prognostic tools for clinical use, particularly the LabPS and LabBM scores. Her research demonstrates how serum biomarkers can enhance survival prediction accuracy across different cancer types and metastatic presentations. A distinctive feature of her work is the examination of rural healthcare delivery challenges and their impact on cancer treatment outcomes in Northern Norway's unique geographical context. Dr. Dalhaug maintains a highly productive research collaboration, most notably with Carsten Nieder, with whom she has co-authored numerous studies across multiple cancer types and treatment modalities. Her work spans clinical trials, retrospective analyses, and validation studies that contribute significantly to evidence-based oncology practice, particularly in resource-limited or geographically isolated settings.
Hanne Solveig Dagfinrud is a Senior Researcher affiliated with the Department of Public Health Sciences and Interdisciplinary Health Sciences at the University of Oslo and the Department of Rheumatology at Diakonhjemmet Hospital. She holds a Dr. philos (PhD equivalent) awarded by the University of Oslo in 2005. Her academic background includes extensive clinical experience as a physiotherapist specializing in manual therapy and sports physiotherapy, alongside expertise in rehabilitation and musculoskeletal health. Her research focuses on rheumatology, particularly the interplay between physical activity, cardiovascular health, and inflammatory joint diseases. She investigates physiotherapy interventions in primary care settings, emphasizing exercise-based therapies for conditions like axial spondyloarthritis and osteoarthritis. Notable projects include the ExeHeart trial evaluating high-intensity exercise for inflammatory arthritis patients and studies on patient-reported outcomes in rehabilitation. Dr. Dagfinrud teaches courses such as FysioPrim HELSEF4302 (Analysis Course, quantitative part) and HELSEF4402 (Function and Functional Assessment). Her work integrates clinical practice with research, addressing gaps in healthcare delivery through quality improvement initiatives and patient engagement strategies. She contributes to interdisciplinary teams like the BODYFUNC research group, exploring body function and disability in chronic diseases.
Tone Merete Muthanna is a Professor in the Department of Civil and Environmental Engineering , Faculty of Engineering at NTNU . Her research focuses on stormwater management, urban hydrology, green infrastructure, and sustainable urban development. She leads projects on green roof performance, climate-resilient drainage systems, and pollutant dynamics in urban environments. Education details are not explicitly mentioned, but her affiliation with NTNU and extensive academic output indicate advanced qualifications in civil/environmental engineering. She has supervised numerous PhD and MSc students, including notable advisees like Elhadi Mohsen Hassan Abdalla and Noëlie Maurin. Research Interests : - Hydrological modeling of green/grey infrastructure in cold climates. - Climate adaptation strategies for urban water systems. - Sustainable drainage solutions integrating green and gray technologies. - Water quality management in urban runoff and gully systems. Recent Article Trends : Her 2025 work highlights green infrastructure's winter performance, while 2024 studies focus on grass swale infiltration, sediment contamination, and guideline comparisons. The 2023 papers emphasize model development, pollutant analysis, and climate adaptation frameworks. Awards & Grants : No explicit awards listed, but active in EU-funded projects like Klima 2050 and leads interdisciplinary research teams. Supervised over 20+ student theses since 2018, many funded by SINTEF and NTNU grants. Labs & Teams : Affiliated with ZEB-laboratoriet (Zero Emission Building Lab) at NTNU, focusing on sustainable urban systems. Collaborates internationally with groups like IWA Publishing and Sintef Research.
Per Lauvås is an Associate Professor at the Department of Computer Science, Faculty of Technology, Art and Design, Oslo Metropolitan University. His research and teaching focus on IT education, software engineering, and e-learning technologies. Key research areas include Software testing pedagogy Gamification in data modeling education Interactive web development tools Cloud computing and cybersecurity Assessment innovations in database courses Work-integrated learning for IT students Recent publications explore AI chatbots in education, employer prioritization of IT graduates, and gamified learning tools. His work emphasizes student-centered approaches and practical skill development. Contact: pelau8806@oslomet.no
Kine Pedersen is an Associate Professor at the Department of Health Management and Health Economics within the Faculty of Medicine at the University of Oslo. Her academic career focuses on health economic analysis, disease simulation modeling, and evaluation of healthcare interventions with particular expertise in cervical cancer prevention, HPV-related disease control, and primary care services. She has established herself as a leading researcher in cost-effectiveness analysis of preventive healthcare strategies within the Norwegian healthcare system. Education: PhD in Health Economics and Health Policy, University of Oslo (2018) M.Phil. in Health Economics, Policy and Management, University of Oslo (2014) BA in Economics, University of Oslo (2012) BA in Health Management and Health Economics, University of Oslo (2011) Dr. Pedersen's research program centers on developing and applying sophisticated mathematical models to evaluate preventive healthcare interventions, with a strong emphasis on cervical cancer screening programs and HPV vaccination strategies. Her work bridges health economics, epidemiology, and clinical practice to inform evidence-based healthcare policy. She has made significant contributions to understanding how to optimize screening protocols for vaccinated versus unvaccinated populations and has extensively studied the cost-effectiveness of various approaches to accelerate cervical cancer elimination in Norway. Her recent publications (2022-2024) reveal an expanding research portfolio that now includes telemedicine applications for chronic disease management and team-based primary care models, while maintaining her core focus on cancer prevention. The consistent thread through her work is the application of rigorous health economic methodologies to evaluate preventive interventions, with particular attention to structural uncertainty in modeling and real-world implementation challenges. Scientific Awards: The Society for Medical Decision Making's Lee B. Lusted Student Prize in Health Services and Policy Research Dr. Pedersen teaches HEVAL5120: Modelling in Economic Evaluation I and HMET4210: Research Design. Her research is supported through collaborations with the Cancer Registry of Norway, Center for Health Decision Science at Harvard T.H. Chan School of Public Health, Norwegian Institute of Public Health, and Department of Biostatistics at Aarhus University. She leads or participates in several significant research projects including ASCERTAIN, Optimal Cervical Cancer Prevention Policies (CC-PREVENT), and EXCEED – Network for economic evaluation in Norway. Her work directly informs Norwegian healthcare policy and contributes to international efforts to eliminate cervical cancer through evidence-based preventive strategies.
Ragnhild Kobro Runde is an Associate Professor in Computing Education at the Department of Informatics, University of Oslo. Her work focuses on software engineering methodologies, formal methods in system design, and computing education at both secondary and undergraduate levels. She is affiliated with the Computing Education research group. Her research explores topics such as UML sequence diagram semantics, formal specification techniques (Event-B/STAIRS), and the transition from block-based programming (Scratch) to text-based languages (Python) in schools. She also investigates how ICT exposure impacts mathematics self-belief and academic performance in PISA assessments. Runde has contributed to over 30 peer-reviewed publications since 2005, appearing in journals like Formal Aspects of Computing and Software and Systems Modeling. Her work frequently addresses challenges in software design, security risk analysis, and service-oriented architecture modeling using UML extensions. Key contributions include developing pattern languages for web application security risk analysis, analyzing nondeterminism in sequence diagrams, and creating methodologies for dynamic service composition using UML 2.x. She has collaborated with international researchers on computing education initiatives and formal methods applications.
Laszlo Tibor Erdodi is an Associate Professor at the Norwegian University of Science and Technology (NTNU), affiliated with the Department of Information Security and Communication Technology within the Faculty of Information Technology and Electrical Engineering . His research focuses on cybersecurity in critical infrastructure, reinforcement learning for penetration testing, and vulnerability exploitation in power grid systems. Erdodi collaborates with institutions like CIGRE and IEEE on projects evaluating security of wide-area monitoring systems and industrial control systems. Key research areas include advanced persistent threats (APT) targeting power grid substations, stealthy data integrity attacks on critical infrastructure, and the application of reinforcement learning to simulate cyber-attacks (e.g., SQL injection and CTF challenges). His work often involves hardware-in-the-loop testbeds to assess vulnerability mitigation strategies in real-world scenarios. Publications emphasize cybersecurity for industrial control systems, penetration testing methodologies, and ethical hacking frameworks. Notable contributions include studies on IEC 61850/60870-5-104 protocol vulnerabilities, PTP timing attacks in substations, and lightweight IoT security solutions (e.g., LIST framework). Erdodi’s work bridges theoretical cybersecurity models with practical implementation, addressing challenges in both academic and industrial sectors. He contributes to conferences like IEEE PES ISGT Europe and CIGRE symposiums, focusing on resilient critical infrastructure design and automated threat detection systems.
Mary Ann Lundteigen is a Professor in instrumentation systems and safety at NTNU’s Department of Engineering Cybernetics, part of the Faculty of Information Technology and Electrical Engineering. She holds an MSc (1993) and PhD (2009) in Engineering Cybernetics from NTNU, with 15+ years of industry experience across Phillips Petroleum, Nidar AS, DNV, and SINTEF. She has led major research initiatives including SFI SUBPRO (2014–2023) and SFI Autoship (2019–2022), focusing on subsea production, autonomous ships, and cybersecurity for safety-critical systems. Her research emphasizes functional safety of industrial control systems, cybersecurity compliance with standards like IEC 62443, and the integration of AI in safety-critical environments. She leads projects such as APOS 2.0 (digital lifecycle management) and CyberBarrier Management, while supervising multiple PhD students and postdocs. Lundteigen co-authored over 100 publications and received the ExxonMobil Doctoral Prize (2009) for her thesis on SIS reliability. Professional roles include: Co-director of SFI SUBPRO Director of SFI Autoship’s initial phase Adjunct Professor at NTNU (2013) Member of IEC 61511 maintenance team and PDS forum organizing committee Current research focuses on: Cybersecurity threats to SIS AI applications in safety systems Digital twins for safety demonstration Industry 4.0 frameworks like OPC UA Her work bridges academia and industry, with active projects funded by the Norwegian Research Council and industrial partners like Equinor and DNV.
Esther Ulitzsch is an Associate Professor at the University of Oslo 's Centre for Educational Measurement (CEMO) . Her research focuses on advancing psychometric models, particularly Bayesian latent variable techniques for small-sample conditions, and analyzing digital interaction data from simulated learning environments. She holds a PhD from Freie Universität Berlin and previously worked as a Research Associate at the IPN – Leibniz Institute for Science and Mathematics Education in Kiel, Germany. Education: PhD in Educational Measurement (Freie Universität Berlin) Research Associate at IPN Kiel Research Interests: IRT model development for aberrant response detection Efficient estimation in small samples Clickstream analysis for student behavior Test-taking engagement dynamics Publications: Over 20 peer-reviewed articles since 2017, including work on mixture models for careless responding, neural networks for IRT estimation, and Bayesian factor modeling. Recent contributions address response time analysis, cross-country measurement invariance, and sequential process mining in interactive tasks. Affiliations: Active in the CREATE (Research on Equality in Education) and FREMO (Frontier Research in Educational Measurement) groups at CEMO.
