Find Academic Supervisors

• Maritime Risk Analysis
• Autonomous Ship Systems
• Safety Engineering
• +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 Engineering
• Digital Twin Technology
• Marine Robotics
• +3 more

Hans Petter Hildre is Head of Department at the Department of Ocean Operations and Civil Engineering , part of the Faculty of Engineering at the Norwegian University of Science and Technology (NTNU). His work focuses on maritime engineering, digital twin technology, and marine operations. Research interests include: Digital Twin Applications in Maritime Industry Offshore Operations and Wind Turbine Installation Marine Robotics and Autonomous Systems Wave Field Estimation and Environmental Load Analysis Human-Machine Interaction in Maritime Contexts Co-simulation and Real-time Monitoring Recent publications highlight trends in: Wave shielding effects for offshore vessels Knowledge transfer from automotive/aviation to maritime Crane path planning using digital twins Visual attention zone recognition systems Hydrodynamic modeling and sensitivity analysis Smart city-maritime integration Scientific collaborations span institutions including: European Commission (Future Skills Reports) Royal Institution of Naval Architects The American Society of Mechanical Engineers (ASME) IEEE Transactions on multiple domains Springer Publishing

• Artificial Intelligence
• Machine Learning
• Recommender Systems
• +4 more

Özlem Özgöbek is an Associate Professor at the Department of Computer Technology and Informatics, Norwegian University of Science and Technology (NTNU). Her research spans artificial intelligence, machine learning, and recommender systems with a focus on privacy, fake news detection, and educational technology. NTNU - Department of Computer Technology and Informatics Her work explores multimodal fake news detection, privacy implications in recommender systems, and technology-enhanced classroom interaction. Recent publications analyze digital education trends and classroom tools. Özgöbek collaborates with international researchers and contributes to news recommendation workshops. Her projects address ethical AI, environmental sustainability, and real-time information processing.

• Control Systems
• Robotics
• Marine Robotics
• +3 more

Kristin Y. Pettersen is a Professor at the Department of Technical Cybernetics, Norwegian University of Science and Technology (NTNU), and a Professor II at the Norwegian Defence Research Institute (FFI). She is a co-founder of Eelume AS, a company specializing in underwater robotics solutions. Education: Civil Engineering and PhD in Technical Cybernetics from NTNU Her research focuses on advanced control systems for marine and underwater vehicles, particularly snake robots and autonomous underwater vehicles (AUVs). Key areas include formation control, path following, adaptive guidance algorithms, and safety-critical control in dynamic environments. Recent work explores machine learning integration and energy-shaping techniques for robust locomotion. Publications highlight trends in Model Predictive Control (MPC) , Collision Avoidance , and Task-Priority Operational Space Control for redundant and underactuated systems. Her work bridges theoretical control theory with practical applications in marine robotics, including autonomous inspections and cooperative transport. Labs/Teams: Collaborates with NTNU's Faculty of Information Technology and Electrical Engineering and co-founded Eelume AS, advancing subsea robotic manipulation technologies.

• Cognitive Science
• Psycholinguistics
• Multilingualism
• +4 more

Jon Andoni Duñabeitia is a Full Professor at the School of Languages and Education of Universidad Nebrija in Madrid. He serves as Director of the Centro de Investigación Nebrija en Cognición (CINC) and the International Chair in Cognitive Health . With an h-index of 43 (Scopus), he has published 170+ articles across psycholinguistics, multilingualism, cognitive training, and virtual reality applications in education. His research examines how language processing interacts with cognitive load, emotional modulation, and technological innovation. Principal Investigator for 8+ projects funded by Spanish Government, Basque Government, BBVA Foundation Associate Editor and Editorial Board Member of high-impact journals Recognized among Spain's top 3% scientists across all disciplines Recent publications span topics including: Second-language reading dynamics in VR environments Multilingual cognitive interactions in neurological conditions Emoji/typographic effects on word processing Computerized cognitive assessment and training systems He actively contributes to scientific meetings as invited speaker across Europe, Asia, and Americas. His work bridges basic research in psycholinguistics with applied technologies for cognitive health.

Ole Petter OttersenView profile

Professor

• Molecular Neuroscience
• Global Health Governance
• Aquaporin Channels
• +5 more

Ole Petter Ottersen is a Professor at the University of Oslo’s Faculty of Medicine, affiliated with the Institute of Basic Medical Sciences. He previously served as Rector of the University of Oslo (2009–2017) and President of Karolinska Institutet (2017–2023). Ottersen holds dual roles as a Visiting Professor at Charité – Universitätsmedizin Berlin’s Global Health Institute and an affiliated member of Karolinska’s Department of Neuroscience and Department of Global Public Health. He is also Vice President of the Virchow Foundation and chairs the Lancet Commission on Global Governance for Health 2.0. His career spans academic leadership, research coordination, and international health policy advocacy. Education: He earned an M.D. (1980) and Ph.D. in Neuroscience (1982) from the University of Oslo. Ottersen has held academic positions including Research Fellow (1978–1983), Associate Professor (1983–1992), and has coordinated prestigious EU and Nordic grants. His research priorities include academic quality, internationalization, innovation, and dissemination. Research interests focus on molecular neuroscience (e.g., aquaporin-4 channels in brain water dynamics) and global health governance. His work bridges basic science and policy, addressing health inequity, pandemic preparedness, and sustainable healthcare. Recent publications emphasize systemic approaches to global crises, vaccine equity, and interdisciplinary solutions for health challenges. Ottersen has received the Anders Jahre Medical Prize (twice), the Lundbeck Nordic Research Prize, and honorary doctorates from multiple institutions. His awards include France’s Ordre national du Mérite (2019) and Japan’s Order of the Rising Sun (2023). He has led prize committees, including the Kavli Prize in Neuroscience. He has coordinated major national and international grants, such as Norway’s Functional Genomics Program (FUGE) and the EU’s Biomed and NeuroImage projects. His advisory roles include the European Research Council (ERC), WHO-related initiatives, and boards like Oslo University Hospital and NordForsk. Ottersen’s teaching spans medical students since 1976, covering neurobiology, histology, and anatomy. Key initiatives include founding the Guild of European Research-Intensive Universities and leading the Lancet Commission on Global Governance for Health. He collaborates with institutions like EMBL-Norway, Africa CDC, and the Global Virus Network, emphasizing intersectoral action and equitable global health systems.

• Control Systems
• Model Predictive Control
• Power Systems Engineering
• +3 more

Morten Hovd is a Professor in the Department of Engineering Cybernetics at the Norwegian University of Science and Technology (NTNU). His research focuses on advanced control systems, model predictive control (MPC), power electronics, and optimization algorithms. He has contributed significantly to the development of robust control strategies for uncertain systems and has published extensively in leading journals and conferences in the field of control engineering. His research interests span several key areas in control systems engineering, including model predictive control, nonlinear control systems, optimization under uncertainty, and applications in power systems and energy efficiency. He is particularly known for his work on discrete-time bilinear systems, modular multilevel converters (MMCs), and the integration of machine learning techniques with control theory. His contributions address both theoretical advancements and practical implementations in industries such as energy and petroleum engineering. Hovd's recent publications highlight advancements in energy-efficient control systems, stochastic surrogate modeling for subsurface flows, and optimization algorithms tailored for complex engineering problems. His work often combines rigorous mathematical frameworks with real-world applications, such as improving the reliability of power systems and enhancing reservoir management through data-driven methods. He is actively involved in teaching courses such as TTK4210 (Advanced Control of Industrial Processes) and TK8118 (Mini-seminar in Cybernetics). His research has led to innovations in fault detection for power systems, energy-efficient building climate control, and robust MPC strategies for uncertain systems.

• Housing Market
• Real Estate Economics
• Tax Policy
• +5 more

Are Oust is a Professor of Financial Economics at the Norwegian University of Science and Technology (NTNU School of Economics) and a Professor II at the Norwegian School of Economics. He specializes in housing market dynamics, real estate economics, and tax policy. His research focuses on housing bubbles, property valuation, and the impact of regulation on real estate markets. Affiliations: NTNU School of Economics (Professor) Norwegian School of Economics (Professor II) Deputy Head of Research at NTNU School of Economics (2021–present) Deputy Director of NTNU Center for Housing and Environmental Economics (2016–present) Education: PhD in Economics, NTNU (2013) Master’s in Accounting and Auditing, Economics, and Business Administration from NHH (Norwegian School of Economics) Bachelor of Science in Economics, NTNU Research Interests: Dr. Oust’s work emphasizes automated valuation models, housing market regulation, energy labeling in real estate, and the interplay between taxation and home ownership. His research has been published in journals such as Quantitative Finance , Journal of Real Estate Research , and Energy Policy . Key Contributions: His studies on housing bubbles, rental market dynamics, and the application of AI in real estate valuation have shaped policy debates. Recent work explores the role of adverse selection in iBuyer models and the predictive power of dwelling conditions in automated valuations. Grants & Leadership: He advises on real estate policy and serves on multiple boards, including the NTNU Center for Housing and Environmental Economics, and private real estate firms like Strinda Eiendom AS. His teaching focuses on personal finance, investment strategies, and tax planning.

• Reservoir Engineering
• CO2 Enhanced Oil Recovery & Storage
• Data-Driven Reservoir Modeling
• +5 more

Ashkan Jahanbani Ghahfarokhi is an Associate Professor in Reservoir Engineering at NTNU’s Department of Geosciences since 2019. He leads the CEORS Gemini Centre (CO2 Enhanced Oil Recovery & Storage) and is a core member of the BRU21 Reservoir Management group. His research focuses on data-driven subsurface modeling, CO2 storage, and optimization of oil recovery processes. Education: PhD, NTNU (2015); MEng, University of Calgary (2009); MSc/BSc, Petroleum University of Technology, Iran (2006–2009). Roles: Head of Reservoir Engineering Group (2021–2022), Project Manager for NORHED II (2022), and NTNU’s Outstanding Academic Fellow (2022–2026). Research interests include CO2-EOR/Storage, machine learning applications, proxy modeling, and reservoir simulation. He has supervised 20+ students and published over 40 journal/conference papers. Awards include DNVA postdoc scholarship (2015–2017) and PoreLab postdoc (wettability studies). Teaching: Masters/PhD courses in reservoir fluids, simulation, and geomechanics. Guest editor for Energies (AI in Oil & Gas).

• Control Systems
• Petroleum Engineering
• Machine Learning
• +3 more

Alexey Pavlov is a Professor of Petroleum Cybernetics at the Department of Geosciences and Petroleum, Norwegian University of Science and Technology (NTNU). He holds an MSc in Applied Mathematics from St. Petersburg State University, a PhD in Mechanical Engineering from Eindhoven University of Technology, and has industrial R&D experience from Statoil and Ford Motor Co. Education: MSc (Applied Mathematics, St. Petersburg State University), PhD (Mechanical Engineering, Eindhoven University) His research focuses on control systems for petroleum engineering applications, including nonlinear control theory, iterative learning control, and data-driven optimization methods. Publications reveal a strong emphasis on real-time drilling optimization, well integrity monitoring, and synchronization in networked systems. Recent work trends include machine learning integration for oil well monitoring, moment matching in model reduction, and extremum seeking control for multi-agent systems. Collaborations span institutions like Ford Motor Co., Statoil, and Eindhoven University of Technology. Current affiliations include the Department of Geosciences and Petroleum at NTNU. No scientific awards or advisee information is explicitly mentioned in the provided texts.

• Scanning Transmission Electron Microscopy (4D-STEM)
• Open Source Scientific Software Development
• Big Data Processing in Electron Microscopy
• +4 more

Magnus Nord is an Associate Professor in the Department of Physics, Faculty of Natural Sciences at Norwegian University of Science and Technology (NTNU). His research focuses on advanced electron microscopy techniques and computational tools for materials characterization. Research Interests : Scanning Transmission Electron Microscopy (4D-STEM), Open Source Scientific Software Development (Python), Big Data Processing, Magnetic/Electric Field Imaging, Structural Characterization using Higher Order Laue Zones. Publications span cutting-edge applications in functional materials, nanomagnets, and perovskite thin films, with emphasis on machine learning and precession-enhanced imaging. Key keywords include Materials Science , Electron Microscopy , and Computational Imaging . Software Development : Lead developer of Atomap and pyxem , contributing to HyperSpy and merlin_interface for electron microscopy data analysis. Current Research Funding : InCoMa (Research Council of Norway) IMPRESS (Horizon EU Program)

• Lean Construction
• Project Management
• Construction Waste Reduction
• +4 more

Trond Bølviken is a Professor at the Department of Engineering Sciences, University of Agder. His research focuses on Lean Construction methodologies, project management, and construction waste reduction. He has contributed to advancing understanding of collaborative project teams, waste economics, and production planning. His work emphasizes practical applications of theoretical principles in construction, aiming to bridge gaps between academic research and industry practices. Key areas include uncertainty management, production control systems, and the integration of Lean principles with traditional construction workflows. Bølviken has published extensively in peer-reviewed journals and conference proceedings, particularly within the International Group for Lean Construction (IGLC). He collaborates with international researchers and industry practitioners to address challenges in project delivery and workflow optimization.

• Anesthesiology
• Emergency Medicine
• Cardiopulmonary Resuscitation (CPR)
• +3 more

Eirik Skogvoll is a Professor at NTNU (Norwegian University of Science and Technology) and a pediatric anesthesiologist at St. Olav's University Hospital. He holds a leadership role as Vice Head for Research in the ISB Research group within the Faculty of Medicine and Health Sciences. His primary affiliation is with the Department of Circulation and Medical Imaging. Skogvoll's academic background includes an MD (1985), PhD (2000), and certifications in anesthesiology (1993) and pediatrics (2005). He has been actively involved in clinical work, teaching, and research at NTNU since 1994. Notably, he served as Head of the Resuscitation Committee at St. Olav's Hospital from 2008 to 2019 and was a visiting professor at the University of Pennsylvania in 2017. His research focuses on anesthesiology, emergency medicine, and cardiopulmonary resuscitation (CPR), with a particular emphasis on clinical circulatory physiology and medical statistics. He leads the Norwegian Cardiac Arrest Registry and has contributed to courses like Pediatric Emergencies and Medical Statistics in Clinical Analysis. Recent articles highlight advancements in AI-driven diagnostics (e.g., deep learning for ECG analysis), optimization of CPR techniques, and pediatric cardiac arrest epidemiology. His work bridges clinical practice and technological innovation, aiming to improve patient outcomes in critical care scenarios.

Pasi VäliahoView profile

Professor

• Art History
• Visual Studies
• Media Archaeology
• +12 more

Pasi Väliaho is a Professor in the Department of Philosophy, Classics, History of Art and Ideas at the University of Oslo, Faculty of Humanities. His research sits at the intersection of art history, media theory, and epistemology, exploring how visual media shape knowledge, power, and economic systems across historical periods. He is a key member of the Visual Studies research group and the Screen Cultures research initiative at UiO. His academic background includes a doctorate from the University of Turku, Finland, where he also holds the title of Docent in Media History and Theory. Prior to joining the University of Oslo, he served as Reader in Film and Screen Studies at Goldsmiths, University of London. His educational path reflects a strong foundation in European media and art history. Väliaho’s research focuses on the historical and political dimensions of visual culture, particularly how optical media, cinema, and digital technologies intersect with epistemic shifts, colonialism, and neoliberal capitalism. He examines topics such as camera obscuras, magic lanterns, military drones, video games, and deep-sea visualization, analyzing how images function as instruments of knowledge, governance, and capital. His work is deeply interdisciplinary, drawing from philosophy, science studies, and critical theory. The trends in his recent publications reveal a sustained engagement with the materiality and politics of images—from early modern optical devices to contemporary data-driven visualizations. His scholarship consistently links historical media forms with current digital and neuroscientific developments, emphasizing continuity in how vision is instrumentalized for power and control. Themes of embodiment, affect, biopolitics, and speculative economies recur across his work. 2023 Limina Award for the Best International Book in Film Studies (for Projecting Spirits ) Choice Outstanding Academic Title for 2015 (for Biopolitical Screens ) Väliaho actively supervises doctoral and postdoctoral researchers, including Rasmus Rodineliussen, William Wessel Nore, and Nanna Lenander. He is currently co-leading the Research Council of Norway-funded project 'Visualizing the Deep Sea in the Age of Climate Change' (2023–2027), which explores the political ecology of oceanic imaging. His teaching includes courses such as 'Archaeology of the Moving Image' and 'Philosophies of the Image,' reflecting his broad theoretical and historical expertise. He is embedded in collaborative research environments, notably the Visual Studies group at IFIKK and the international Screen Cultures initiative, fostering interdisciplinary dialogue on media, aesthetics, and epistemology.

Anne Kjersti C. BefringView profile

Professor

• Health Law
• Administrative Law
• Constitutional Law
• +12 more

Anne Kjersti C. Befring is a Professor at the University of Oslo 's Department of Public Law. She is one of the Nordic countries' leading experts in health law and life sciences , with a focus on genetic mapping , AI in healthcare , and data privacy regulations . Doctorate in Law (2019) on Legal Perspectives on Personalized Medicine Co-founder of the Nordic PerMed Law network (2019-2021) Current legal researcher in the Morgi life science project (2022-present) Her research spans health law , administrative law , and constitutional law , particularly examining how GDPR intersects with national healthcare regulations, patient rights in data sharing, and ethical issues in gene therapy. Recent publications focus on: AI's impact on medical decision-making Legal frameworks for biobanks Personalized medicine governance Pandemic emergency legal measures Laboratory data privacy protocols She supervises PhD candidates Vibeke Binz Vallevik (synthetic data for AI) and Ole Boye (gene therapy). Befring served as Deputy Chair of Norway's National Research Ethics Committee for Medicine and Health Sciences (NEM) from 2022-2025 and has contributed to critical policy discussions around data ethics and public health governance .