Find Academic Supervisors

• Autonomous Systems
• Marine and Maritime Risk Analysis
• Operational Risk Management
• +4 more

Professor Ingrid Bouwer Utne is a faculty member at the Department of Marine Engineering, Norwegian University of Science and Technology (NTNU). Her primary research focuses on risk analyses of ships, marine systems, and autonomy, with emphasis on operational safety, maintenance management, and risk control in autonomous maritime technologies. Key Projects: Leader of the Risk Group at NTNU, involved in the SFI Autoship initiative and ERC AdG BREACH project addressing risk-based rationality in autonomous systems. Research Interests: Autonomous systems design, probabilistic risk assessment, safety engineering, and risk-informed decision-making for marine operations. Grants & Funding: Secured funding from the Research Council of Norway, MAROFF, and industry partners for projects like ORCAS (Online Risk Management for Autonomous Ships) and UNLOCK (Supervisory Risk Control). She supervises numerous PhD students and postdocs, focusing on topics such as autonomous vessel navigation, risk modeling for underwater robotics, and decarbonization of maritime systems. Her work bridges theoretical risk analysis with practical applications in marine autonomy and safety systems.

• Power cycles and turbomachinery
• CO2 capture
• Process modeling and simulation
• +3 more

Lars O. Nord is a Professor in the Department of Energy and Process Engineering at NTNU, specializing in thermal energy systems, CO2 capture technologies, and dynamic process modeling. He holds a PhD from NTNU (2010) and a Master's from Virginia Tech (2001). His research focuses on power cycles, turbomachinery optimization, and decarbonization strategies for energy systems. Nord has led projects such as DEXPAND and InnCapPlant, addressing CO2 capture under variable loads and expander efficiency in renewable systems. Current roles: Head of the Thermal Energy research group and teaches courses like Engineering Thermodynamics. Research highlights include thermal energy storage integration, moving bed adsorption processes, and offshore hybrid energy systems. His work spans over 80 publications, emphasizing CO2 capture dynamics, turbine design, and control strategies for flexible power plants. Notable collaborations include SINTEF and Aker Solutions. Nord advises multiple PhD candidates and has mentored alumni now leading roles in industry and academia.

Trond Vidar HansenView profile

Professor

• Organic Chemistry
• Biochemistry
• Pharmacology
• +3 more

Trond Vidar Hansen is a Professor at the Department of Pharmacy, University of Oslo , and leads the LIPCHEM research group . He collaborates with institutions including the University of Bergen and Vestlandets Innovasjonsselskap through the VITADEL project, which recently received NOK 5,000,000 in verification support from the Research Council of Norway. His research focuses on the synthesis and biological evaluation of specialized pro-resolving lipid mediators derived from omega-3 fatty acids, with applications in inflammation resolution, neuroinflammation, and drug development. University : University of Oslo Department : Department of Pharmacy Research Group : LIPCHEM Collaborations : University of Bergen, Vestlandets Innovasjonsselskap Research Interests : H Hansen's work centers on the organic synthesis of bioactive lipid derivatives, particularly pro-resolving mediators from omega-3 polyunsaturated fatty acids. His team investigates their roles in inflammatory disease models , neuroinflammation , and PPAR receptor activation , aiming to develop therapeutic agents for conditions like chronic pain, diabetes, and neurodegenerative disorders. The research integrates stereoselective chemistry , biochemical profiling , and pharmacological evaluation to validate these mediators' clinical potential. Recent Awards : 2025: NOK 2,000,000 verification support from Research Council of Norway 2025: Co-leader of NOK 5,000,000 VITADEL project Publications : His articles (2015–2024) reveal a focus on stereoselective synthesis of resolvins, protectins, and maresins, with applications in anti-inflammatory and neuroprotective therapies . Key subfields include omega-3 metabolite profiling , PPAR agonist design , and biosynthetic pathway elucidation , often utilizing human cell models and mouse disease models . Collaborative projects emphasize commercialization of academic research and translational medicine .

• Robotics
• Artificial Intelligence
• Machine Learning
• +3 more

Dr. Danesh Tarapore is an Associate Professor at the University of Southampton specializing in robotics and AI. He focuses on human-robot interaction, swarm intelligence, and autonomous systems. His current research involves developing resilient robotic teams and optimizing learning algorithms for constrained environments. He supervises 6 PhD students in the iPhD MINDS and Computer Science programs. Dr. Tarapore's work bridges theoretical advancements with practical applications in autonomous navigation, multimodal dataset creation, and quality-diversity optimization. His publications span conferences like HRI and journals in robotics and AI. He collaborates with institutions like the University Hospital Southampton and the Boldrewood Innovation Campus. Research Interests: Human-robot collaboration, swarm systems, machine learning, and adaptive control Key Contributions: HRI-SENSE dataset, evolutionary subset selection algorithms, forest navigation frameworks Grants and Funding: Active projects in multi-agent systems and resilient robotics Dr. Tarapore maintains active roles in the robotics community through conference participation and interdisciplinary collaborations.

Per-Arne AndersenView profile

Associate Professor

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

Per-Arne Andersen is an Associate Professor at the Department of Information and Communication Technology within the University of Agder . His research focuses on artificial intelligence , reinforcement learning , Tsetlin machines , and deep learning , with applications in real-time strategy games , industrial environments , and IoT systems . Projects: RESTORE Research Groups: CAIR - Center for Artificial Intelligence Research, CIEM - Center for Integrated Crisis Management, Intelligent Mechatronics (iTron) His work explores safe and sustainable reinforcement learning , interpretable AI , and generative environment modeling . He has developed frameworks like CaiRL and CostNet for high-performance RL environments and goal-directed learning. Recent publications include advancements in Tsetlin automaton analysis , GNSS jamming classification , and road quality detection . Articles from 2025-2016 span machine learning , computer vision , and environmental modeling . He contributes to IEEE , Springer , and LNCS publications, with a focus on interdisciplinary AI applications in crisis management , cybersecurity , and industrial optimization .

Hans Jonas Fossum MoenView profile

Associate Professor

• Autonomous Systems
• Sensor Technologies
• Robotics
• +3 more

Hans Jonas Fossum Moen is an Associate Professor with a 20% appointment at the Department of Technology Systems, University of Oslo (UiO), and holds a 100% position as a researcher at the Norwegian Defence Research Establishment (FFI). His primary affiliation is with the Section for Autonomous Systems and Sensor Technologies. He is based at the Kjeller campus, with a visiting address at Gunnar Randers Road 19 and a postal address at Postboks 70. His research focuses on advancing autonomous systems and sensor technologies, particularly in the domains of swarm robotics, multi-agent coordination, and optimization algorithms. Key areas include UAV navigation, distributed localization in IoT networks, radar detection enhancement, and adaptive control systems for multi-functional swarms. He emphasizes the integration of biological principles into robotic systems, as evidenced by his participation in the ICRA 2018 Workshop on Swarms. His publications consistently highlight contributions to swarm intelligence, with a focus on improving data quality and efficiency in robotics applications. He has collaborated extensively with colleagues such as Kyrre Glette, Oleg Yakimenko, and Jan Dyre Bjerknes, exploring topics ranging from task allocation in multi-agent systems to evolutionary algorithms for filter optimization. His work bridges theoretical computer science with practical engineering challenges in autonomous systems. No scientific awards have been explicitly mentioned in the provided texts. Moen’s advising and grants narrative indicates no listed advisees or active grant projects, though his 20% UiO position suggests potential involvement in academic supervision. His primary research activities are embedded within FFI and the Autonomous Systems section at UiO, contributing to interdisciplinary efforts in sensor technologies and robotic systems.

Bård HarstadView profile

Professor

• Environmental Economics
• Political Economics
• Game Theory
• +4 more

Bård Harstad is the David S. Lobel Professor in Business and Sustainability and Professor of Political Economy at Stanford University's Doerr School of Sustainability. He holds courtesy appointments as Professor of Economics at Stanford's School of Humanities and Sciences. Previously at the University of Oslo and Kellogg School of Management, Harstad's research bridges Environmental Economics , Political Economy , and Game Theory . Key Research Themes: Climate treaty design and international cooperation Supply-side environmental policy Political economy of conservation Dynamic games in environmental economics Recent Work Trends: Focus on self-enforcing agreements and pledge-and-review mechanisms (2023-2025) Analysis of natural gas transition risks (2025) Trade-deforestation linkages and contingent trade agreements (2023-2024) Scientific Recognition: Double Erik Kempe Award (2013, 2019) ERC Advanced Grant (2022), Consolidator (2016-2021), and Starting Grant (2012-2016) Fellow of Econometric Society (2021) and Det Norske Videnskaps-Akademi (2019) Teaching & Leadership: Currently teaching Environmental Economics (PhD) at Stanford, with past appointments at Harvard, MIT, and Toulouse School of Economics. Served as Editor, Review of Economic Studies (2015-2022).

Ole-Christoffer GranmoView profile

Professor

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

Ida ScheelView profile

Associate Professor

• Bayesian Statistics
• Data Science
• Machine Learning
• +7 more

Ida Scheel is an Associate Professor in Statistics and Data Science at the University of Oslo , Department of Mathematics. She specializes in Bayesian hierarchical modeling, recommendation systems, and stochastic processes on networks. Her research interests include: Bayesian statistics and model diagnostics Data science applications in environmental and health domains Network-based machine learning Uncertainty quantification in predictive modeling Recent publication trends show a focus on Bayesian model validation, machine learning for product adoption prediction, and real-estate analytics. She contributes to interdisciplinary projects like BigInsight and CELS . Scientific awards : Sverdrup Prize for Young Researchers (2011) Advising : Supervised 8 PhD students (main/co-supervisor) in areas spanning Bayesian causal effects, neural network survival analysis, and model conflict detection. Key grants include participation in the Data Science@UiO and Integreat projects. Labs/teams : Active member of the Center for Computational Inference in Evolutionary Life Science (CELS) and the BigInsight center.

• Agent-Based Modeling
• Social Simulation
• Urban Systems
• +3 more

Timo Szczepanska is a postdoctoral researcher at UiT The Arctic University of Norway , affiliated with the Norwegian College of Fishery Science . With expertise in computational modeling and social simulation, Szczepanska contributes to interdisciplinary research bridging technology, environmental science, and urban systems. Current member of the CRAFT research group Active participant in the FUTURES4Fish project Published extensively in journals like JASSS and Frontiers in Marine Science Research Focus: Szczepanska's work explores urban complexity through participatory simulations, develops agent-based models for human behavior analysis, and investigates climate change impacts on fisheries. Key methodological contributions include model reimplementations and integrating creative writing with future scenario planning. Recent Article Trends: Recent publications demonstrate a dual focus on decarbonisation strategies for urban mobility and innovative approaches to fisheries governance under climate change. Methodologically, Szczepanska combines agent-based modeling with game design and creative worldbuilding across multiple domains. Collaborative Networks: Collaborates with international researchers across institutions including Radboud University, Potsdam University of Applied Sciences, and various European research groups. Specializes in translating complex systems into interactive pedagogical tools and policy-relevant simulations. Technical Expertise: Proficient in computational platforms like NetLogo and Unity, with particular emphasis on model documentation, validation, and interdisciplinary translation of technological futures.

Hanne Hjorth TønnesenView profile

Professor

• Pharmaceutics
• Galenic Pharmacy
• Photoreactivity of Drugs
• +7 more

Hanne Hjorth Tønnesen is a Professor at the University of Oslo in the Department of Pharmacy , specializing in Pharmaceutics and Galenic Pharmacy . Her work focuses on photoreactivity of drugs, formulation technologies for poorly water-soluble drugs, and applications of natural deep eutectic solvents (NADES) in antimicrobial photodynamic therapy (aPDT). Academic Interests: Photostability, drug formulation, NADES, collagen-based systems, nanovehicles, and photodynamic therapy. Collaborations: Partners with institutions like the Nordic Institute of Dental Materials (Oslo), University of Iceland, University of Insubria (Italy), and Julius-Maximilians University of Würzburg (Germany). Her research explores photoreactivity and stability of pharmaceutical products , emphasizing innovative formulation strategies. Recent studies include NADES as anti-biofilm agents , bacteriocin delivery systems , and collagen hydrogels for targeted therapies. Publications highlight trends in antimicrobial photodynamic therapy , nanovehicle drug delivery , and photostability testing . She contributes to standardizing photostability guidelines for photosensitive drugs. Teaching: Leads courses in Personalized Drug Therapy , Biopharmacy , and New Drug Forms , mentoring future pharmacy professionals.

• 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.

Natasa Skalko-BasnetView profile

Professor

• Advanced drug delivery systems
• Lipid-based delivery systems
• Hydrogels
• +6 more

Natasa Skalko-Basnet is a Professor and Head of the Drug Transport and Delivery Research Group at the Department of Pharmacy, UiT The Arctic University of Norway. She specializes in advanced drug delivery systems, lipid-based formulations, and nanomedicine for localized therapies targeting infections and biofilms. Her work spans vaginal drug delivery, antimicrobial resistance solutions, and controlled release systems. Education: B. Pharm (1986), Faculty of Pharmacy and Biochemistry, University of Zagreb M.Sc. (1990), University of Zagreb PhD (1995), University of London University Habilitation (1999), University of Zagreb Research Interests: Development of liposomal hydrogels and nanocarriers for targeted antimicrobial therapy Biofilm disruption mechanisms and drug delivery strategies Optimization of vaginal and topical formulations for chronic infections Pharmaceutical characterization of nanomedicines using advanced imaging techniques Teaching: FAR 3041 Advanced Pharmaceutics and Biopharmaceutics FAR 3043 Advanced Drug Delivery Systems in Nanomedicine (Master’s) FAR 8043 Nanotechnology and Nanomedicine (PhD) Labs/Groups: Member of the Drug Transport and Delivery (DTD) Research Group and the Cell-Free In Vitro Permeability Models project.

Ragnheidur BragadottirView profile

Professor

• Ophthalmology
• Retinal Diseases
• Vitreoretinal Surgery
• +3 more

Ragnheidur Bragadottir is a Professor in the Department of Ophthalmology at the University of Oslo, affiliated with Oslo University Hospital (OUS Ullevål). Her primary affiliation is within the Faculty of Medicine. She specializes in retinal diseases, vitreoretinal surgery, and inherited retinal disorders, with a focus on clinical electrophysiology and gene therapy applications. Her research addresses genetic syndromes like Bardet-Biedl syndrome, ABCA4-related dystrophies, and Stargardt disease, emphasizing translational medicine and patient-centered care. Her work spans clinical trials evaluating anti-VEGF therapies, surgical innovations (e.g., intraoperative OCT for macular holes), and long-term outcomes of treatments like phacovitrectomy. She collaborates extensively on consensus statements (e.g., MHOST for macular hole management) and investigates the burden of chronic retinal diseases on patients and healthcare systems. Bragadottir’s contributions also include foundational studies on gene therapy in RPE65-deficient models and optical imaging advancements for retinal biomarker analysis. Publications highlight her expertise in retinal degeneration mechanisms, surgical techniques, and drug efficacy comparisons (e.g., aflibercept vs. bevacizumab). She is actively involved in the Clinical Retinal Research group and the Center for Eye Research, driving both basic science and clinical ophthalmology advancements.

Solveig BruvollView profile

Associate Professor

• Autonomous Systems
• Cybersecurity
• Military Technology
• +4 more

Solveig Bruvoll is an Associate Professor at the University of Oslo (15% position) and holds a 100% research position at the Norwegian Defence Research Establishment (FFI). She specializes in Autonomous Systems and Cybersecurity , focusing on security in military operations and software resilience. Her work bridges engineering, mathematics, and defense applications. Research interests include autonomous vehicle security, defense simulation, and mathematical modeling. She teaches the course TEK5510 and has published extensively in conferences like IEEE CNS and journals such as Journal of Defense Modeling and Simulation . Her FFI affiliation emphasizes practical military technology and operational analysis. Publications highlight contributions to path planning algorithms, command agent modeling, and cybersecurity frameworks for autonomous systems. She collaborates on NATO projects, as seen in her work on M&S support for operational tasks. No awards are explicitly listed, but her research impacts critical defense and civilian infrastructure security domains.