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Oscar Westlund serves as Professor at the Department of Journalism and Media Studies within the Faculty of Social Sciences at Oslo Metropolitan University (OsloMet), where he co-leads the OsloMet Digital Journalism Research Group. He maintains a secondary appointment at the University of Gothenburg and acts as Editor-in-Chief of Digital Journalism . His research spans digital journalism, fact-checking, platform dynamics, media management, news consumption, and mobile media. Westlund's scholarly focus centers on journalism safety in digital environments, sociotechnical dimensions of misinformation combat, and platform-induced challenges for news organizations. His work examines professional fragilities of journalists, epistemological foundations of data journalism, and legitimacy paradoxes in public service media-platform relationships. Current projects address disinformation countermeasures through the SCAM initiative (Source Criticism And Mediated Disinformation). Analysis of his 2022-2024 publications reveals dominant themes: journalism safety frameworks (33%), platform-journalism tensions (27%), and fact-checking as sociotechnical practice (23%). Key methodological approaches include cross-national comparative studies, epistemological analysis, and practice theory applied to digital news production. Westlund actively contributes to academic discourse through editorial leadership at Digital Journalism and special issue guest editing. His research group coordinates interdisciplinary collaboration on digital journalism studies, while the SCAM project develops practical methodologies for disinformation detection in democratic contexts. Recent work demonstrates increasing emphasis on mobile news ecosystems and journalist safety cultures. He co-leads the OsloMet Digital Journalism Research Group, which investigates platform impacts on news production, mobile journalism evolution, and epistemological shifts in data-driven reporting. The group maintains strong international partnerships, particularly with Swedish institutions through his University of Gothenburg affiliation.

• Digital Journalism
• Fact-checking
• Media Platforms
• +7 more

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

Børge Rokseth is an Associate Professor at the Department of Engineering Cybernetics, Norwegian University of Science and Technology (NTNU). His work focuses on maritime systems, autonomous vessel control, and safety verification. He actively supervises Master's students and contributes to research on risk-informed control systems, hybrid power systems, and systems-theoretic process analysis (STPA). Research Interests: Rokseth's research spans autonomous ship systems, dynamic risk assessment, and safety verification. He explores risk-based decision-making for maritime autonomy, hazard identification in hybrid propulsion systems, and control function allocation in dynamic positioning. His work integrates systems theory, machine learning, and regulatory compliance (e.g., COLREGS) to enhance safety and environmental performance in marine operations. Publications: His recent work includes probabilistic trajectory prediction frameworks for autonomous ships, STPA-based safety analyses, and studies on decarbonization barriers in the maritime industry. These publications emphasize risk modeling, systems-theoretic approaches, and simulation-based verification. Teaching: Rokseth teaches courses such as TTK4130 - Modelling and Simulation, contributing to the education of future engineers and researchers in cybernetics and maritime systems.

• Maritime Risk Analysis
• Autonomous Ship Systems
• Safety Verification
• +3 more

Shaukat Ali serves as Research Professor and Head of the Department of Engineering Complex Software Systems at Simula Research Laboratory, concurrently holding the title of Chief Research Scientist. His academic leadership drives innovation at the critical nexus of quantum computing, artificial intelligence, and software engineering, with concentrated expertise in verification, validation, and testing methodologies for complex systems including cyber-physical infrastructures and autonomous robotics. His primary research domains encompass: Verification and Validation Search-Based Software Engineering Autonomous Driving Systems Cyber-Physical Systems Engineering Digital Twin Technologies Quantum Software Engineering Analysis of recent publications (2024-2025) reveals a decisive trend toward quantum-AI convergence in software engineering, particularly through quantum software testing frameworks and AI foundation models applied to cyber-physical systems. His work systematically addresses noise mitigation in quantum hardware, uncertainty quantification in adaptive robotics, and novel testing paradigms using vision-language models for industrial robotics—demonstrating both theoretical rigor and industrial applicability. As department head, Ali spearheads strategic research directions in complex software systems, fostering cross-disciplinary collaboration while actively shaping quantum software engineering through workshops like QAI2024 and Q-SANER 2024. His invited presentations at venues including JYU Quantum Electronics and EU-Korea Quantum Forums underscore his influence in defining emerging research landscapes.

• Verification and Validation
• Search-Based Software Engineering
• Autonomous Driving
• +3 more

Børge Rokseth is an Associate Professor at the Department of Engineering Cybernetics , Norwegian University of Science and Technology (NTNU). His work focuses on integrating advanced methodologies for safety and risk control in autonomous maritime systems. He has held academic positions since at least 2014, with a consistent record of research collaboration and publication. Research Areas: Maritime risk analysis, autonomous ship systems, safety engineering, dynamic positioning systems, systems-theoretic process analysis (STPA) Key Publications: 15 most recent articles cover topics like trajectory prediction for autonomous vessels, hybrid power systems safety, machine learning in risk assessment, and dynamic positioning system reliability His publications (2014-2025) emphasize safety-critical systems in marine environments. Common themes include: Application of STPA for hazard analysis in autonomous shipping Development of risk-informed control systems Integration of machine learning with engineering risk assessment Comparative studies of different ship autonomy levels As a supervisor, Rokseth has guided master's students including Ane Joramo Stokke and Ludvig Vik Løite. His work has been presented at international conferences such as the European STAMP Workshop, International Conference on Conceptual Modeling, and the International Seminar on Safety and Security of Autonomous Vessels.

• Maritime Risk Analysis
• Autonomous Ship Systems
• Safety Engineering
• +3 more

Professor Ole-Christoffer Granmo is a distinguished academic at the University of Agder, Norway, where he serves as Professor in the Department of Information and Communication Technology. He is the Founding Director of the Centre for Artificial Intelligence Research (CAIR) at the University of Agder, leading cutting-edge research in artificial intelligence and machine learning. Dr. Granmo obtained his master's degree in 1999 and his PhD in 2004, both from the University of Oslo. His academic journey has been marked by significant contributions to the field of AI, most notably the creation of the Tsetlin machine in 2018, for which he received the AI research paper of the decade award from the Norwegian Artificial Intelligence Consortium (NORA) in 2022. Professor Granmo's research primarily focuses on logical and causal world modeling across multiple modalities including images, sound, and natural language. His work spans logical auto-encoding, convolution, regression, transformer architectures, and reinforcement learning, all with the overarching goal of creating ultra-low-power artificial general intelligence through transparent logical learning and reasoning. His publications reveal a strong emphasis on interpretable AI systems, hardware implementations, and applications across diverse domains including cybersecurity, healthcare, social media analysis, and bioinformatics. AI Research Paper of the Decade (2022) - Norwegian Artificial Intelligence Consortium (NORA) Eight paper awards in machine learning Professor Granmo has coordinated over seven research projects and mentored 55+ master's students and nine PhD students. His leadership extends to co-founding the Norwegian Artificial Intelligence Consortium (NORA) and establishing two companies: Anzyz Technologies AS and Tsense Intelligent Healthcare AS. As an advisor at Literal Labs, he actively bridges academic research with practical industry applications, demonstrating his commitment to translating theoretical innovations into real-world solutions that address complex challenges across multiple sectors.

• Machine Learning
• Artificial Intelligence
• Tsetlin Machines
• +7 more

Ole Arve Misund serves as a Professor at the Norwegian Fisheries College within UiT The Arctic University of Norway, Tromsø. His research spans polar science, Arctic marine ecology, fisheries management, and international relations in polar regions, with particular focus on Norway-Russia scientific cooperation dynamics following geopolitical shifts in 2022. His research interests center on climate change impacts on Arctic marine ecosystems, acoustic monitoring of marine organisms, and the geopolitical dimensions of polar research. Recent work examines boreal species migration into the Central Arctic Ocean, machine learning applications for backscatter analysis, and management frameworks for the Central Arctic Ocean. Analysis of his recent publications reveals strong interdisciplinary trends, integrating marine ecology with political science through studies of Russian-Norwegian scientific collaboration under sanctions, illegal fishing enforcement, and policy-relevant polar research. His work consistently bridges academic research with practical fisheries management and geopolitical considerations. Misund actively engages in science communication through Norwegian media outlets like Nordlys and Fiskeribladet, addressing topics from climate policy contradictions to Antarctic hydrological changes. His expeditionary work includes North Pole 2022 aboard the "Kronprins Haakon" research vessel. Professional activities demonstrate significant leadership in polar research infrastructure development and international scientific collaboration, particularly through the Norwegian Polar Institute where he contributes to strategic planning and policy advice. His work emphasizes evidence-based approaches to Arctic governance amid evolving geopolitical landscapes.

• Polar Science
• Arctic Marine Ecology
• Fisheries Management
• +3 more

Frank Asche is Professor II in Resource Economics at the University of Stavanger, affiliated with the Faculty of Science and Technology and the Department of Security, Economics and Planning. His research focuses on the economic dimensions of aquatic food systems, with emphasis on sustainability, trade dynamics, and policy effectiveness in global fisheries and aquaculture sectors. His primary research interests include: Resource Economics Aquaculture Economics Fisheries Economics Seafood Trade Policy Environmental Economics Sustainability Assessment Asche's recent publications reveal a strong focus on quantifying sustainability through tools like the Aquaculture Performance Indicators (API), analyzing food loss in aquatic systems, and investigating market structures in global seafood trade. His work consistently bridges economic theory with practical industry challenges, particularly in Norwegian and European contexts. He maintains extensive international collaborations with researchers including Taryn Garlock, James Anderson, and Ragnar Tveterås, contributing to major projects on blue food systems and aquaculture sustainability. His work appears in leading journals across ecological economics, fisheries science, and environmental policy domains.

• Resource Economics
• Aquaculture Economics
• Fisheries Economics
• +3 more

Astrid Gynnild is a Professor at the Department of Information and Media Studies, Faculty of Social Sciences, University of Bergen, Norway. She is also the Principal Investigator of the ViSmedia project and Head of the Journalism Program. Her work bridges journalism innovation, pedagogy, and ethical technology use in media. Education & Background: PhD in Journalism and Media Studies (2006), University of Bergen, with a grounded theory on creative exchange in journalism. Extensive professional experience at Adresseavisen, including news work, editorial management, and organizational development. Visiting researcher at the University of California, Berkeley. Research Interests: Gynnild’s research is organized into three core tracks: (1) AI and technological innovation in journalism, especially drone and mobile journalism; (2) student-active learning and workshop-based pedagogy in higher education; and (3) surveillance, privacy, and responsible innovation in visual media. She emphasizes ethical frameworks like Responsible Research and Innovation (RRI) and grounded theory methodology. Publication Trends: Her recent work reflects a strong focus on emerging technologies in journalism, particularly drones and immersive storytelling. Articles consistently explore ethical implications, professional adaptation, and pedagogical integration. There is a clear trajectory toward interdisciplinary, socially responsible research with real-world impact in media practice and policy. Scientific Awards: Fellow of the Grounded Theory Institute Meritorious Lecturer, Faculty of Social Sciences, University of Bergen (2019) Advising and Grants: Gynnild has supervised students at bachelor's, master's, and PhD levels. She led the ViSmedia project (2015–2021), funded by the Research Council of Norway (NFR), and contributed to multiple collaborative initiatives such as INJECT, Visual Journalism in the Newsroom, and Communicative Effects of Climate Messaging. She has developed curricula including the master’s program in investigative journalism and promotes open-access, co-creative dissemination. Labs and Research Groups: She leads the Journalism Research Group at UiB and was central to the ViSmedia project, which created a digital archive of conferences, student experiments, and publications on visual surveillance in media. The project website ( https://www.uib.no/en/vismedia ) serves as a hub for interdisciplinary dialogue and innovation.

• Journalism Innovation
• AI in Journalism
• Visual Journalism
• +13 more

Ingrid Bouwer Utne is a Professor in the Department of Marine Technology at the Norwegian University of Science and Technology (NTNU). Her research focuses on risk assessment, autonomy, safety, and maintenance management of marine and maritime systems. She leads the Risk Group at NTNU and has been a main supervisor for numerous PhD students in areas like autonomous systems safety and risk modeling. She is actively involved in research projects such as the ERC AdG BREACH (Risk-Based Rationality in Autonomous Systems), SFI Autoship (Center for Autonomous Ships), and SAFEGUARD (Intelligent autonomous systems for safeguarding ocean infrastructure). Her work emphasizes risk-based control systems, online risk monitoring, and human-autonomy collaboration in maritime operations. Key publications include 'Risk and Interdependencies in Critical Infrastructures' (Springer) and 'Online Probabilistic Risk Assessment of Complex Marine Systems' (Springer). She has advised over 20 PhD students and contributed to industry-funded projects like UNLOCK and ORCAS, focusing on safer autonomous systems design and verification.

• Maritime Safety
• Operational Risk Management
• Autonomous Systems
• +3 more

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.

• Functional Safety
• Safety Instrumented Systems (SIS)
• Cybersecurity in Industrial Systems
• +5 more

Edmund Førland Brekke is a Professor at the Department of Technical Cybernetics, Norwegian University of Science and Technology (NTNU). He leads the Autosit and Autosight projects, and serves as a work package leader in the SFI Autoship center. His research focuses on target tracking, navigation, and SLAM, with applications in collision avoidance for unmanned vessels. He co-founded the company Zeabuz for marine surface autonomy solutions. PhD in Technical Cybernetics (NTNU, 2010) MSc in Industrial Mathematics (NTNU, 2005) Research Interests: Edmund specializes in theoretical foundations of multitarget tracking, integrating target tracking with navigation/SLAM, and applying these to autonomous maritime collision avoidance. His work addresses challenges in heavy-tailed clutter, sensor fusion, and situational awareness for autonomous ferries and river barges. Publications Trends: His recent work (2018–2022) emphasizes collision avoidance algorithms, sensor fusion, and SLAM for autonomous vessels. Key areas include maritime radar tracking, trajectory prediction using AIS data, and integration of visual/Lidar sensors for navigation. Guidance: He has supervised numerous PhD candidates on topics like digital twins, multi-sensor tracking, and risk assessment for autonomous ships, including graduates from 2014–2024. Projects: Active in Autoferry (autonomous ferries), Autobarge (river barges), and the ORCAS initiative. Collaborates with the SFI Autoship center.

• Target Tracking
• Navigation
• SLAM
• +4 more

Arne Roar Nygård is a Researcher at the Department of Information Security and Communication Technology at the Norwegian University of Science and Technology (NTNU) . His work focuses on cybersecurity in critical infrastructure , particularly through hardware reverse engineering and digital supply chain security . He actively contributes to smart grid security , IT/OT convergence , and third-party risk management . Research interests include: Digital Supply Chain Security Hardware Reverse Engineering for Vulnerability Detection Smart Grid Cybersecurity IT/OT Integration in Critical Systems EU NIS2 Regulation Compliance Ethical Considerations in Cybersecurity Recent publications and presentations highlight trends in hardware security verification , threat modeling for critical infrastructure , and regulatory frameworks for cybersecurity. No scientific awards or student advising details were explicitly mentioned in the scraped data.

• Cybersecurity
• Hardware Reverse Engineering
• Digital Supply Chain Security
• +3 more

Christian Johansen is a Professor at the Department of Information Security and Communication Technology, NTNU, leading the Systems Security Group (S2G). He specializes in Security and Theoretical Computer Science, focusing on formal methods for complex systems' reliability, including security, safety, and concurrency. His work involves models like the Timed Distributed pi-calculus and tools such as LightSC for IoT security. Education: Completed doctoral studies at the University of Oslo in 2010. Research interests span formal verification, cyber-physical systems, and human behavior modeling. Over 60 publications in top venues like CONCUR, ATVA, and journals such as JLAMP. Advising and Grants: Supervised numerous PhD/MSc students and led projects funded by EU-FP7, Horizon-2020, NFR-FRINATEK, and others. Involved in organizing conferences and workshops in formal methods and security. Labs/Teams: Heads S2G and contributes to CCIS, Norwegian Cyber Range, and S2G Playground. Develops tools like SAT modulo Discrete Event Simulation for railway systems and models for human behavior in security.

• Security
• Theoretical Computer Science
• Formal Methods
• +7 more

Bjørnar Tessem is a Professor at the Department of Information and Media Studies, University of Bergen. His research focuses on artificial intelligence (AI) and machine learning applications in journalism and sustainable resource management, particularly fisheries. He leads projects like MediaFutures and collaborates with researchers on anomaly detection in fisheries data and ethical AI in automated journalism systems. His work bridges computational methods with societal challenges, emphasizing fairness, transparency, and sustainability. Research interests include AI-driven journalism frameworks, knowledge graphs for news angles, sustainable fisheries monitoring via machine learning, and ethical implications of AI in media. Key projects involve developing tools for detecting violations in fishing activities and enhancing news production through automated systems. He also contributes to public understanding through popular science articles on technology and AI. Recent articles highlight advancements in collective anomaly detection for fisheries surveillance, future technologies in journalism, and fairness in automated data journalism systems. Tessem’s research is supported by grants from the Research Council of Norway and has implications for both academic and industry applications in media and environmental sectors.

• Artificial Intelligence
• Machine Learning
• Data Journalism
• +3 more