Trond Are Øritsland is an Associate Professor at the Department of Design, Norwegian University of Science and Technology (NTNU), within the Faculty of Architecture and Design. His work bridges design theory, interaction design, and game design, emphasizing user experience through embodied mind principles and ecological psychology. Education & Professional Experience: PhD candidate advisor in product design and interaction design since 2004 Experience in designing medical technology, aerospace systems, and maritime equipment Collaborations with industries including petroleum, seafood, and postal services Research Interests: Design methodologies for inclusive products Hybrid product-service systems User interface design for complex industrial processes Game design principles applied to product engagement PhD Supervision: Current: Sensory Nourishment in Clothing (Maureen Laverty) Past: Projects on dementia-friendly technology, visual simplicity analysis, and petroleum industry interfaces Teaching: Master's level courses in interaction design, user interface design, and game design PhD-level interaction design instruction Key Contributions: Co-developed the Information Rich Design framework for large-screen industrial displays Published on hybrid product physicality and inclusive design principles
Hajnalka Vaagen is an Associate Professor at the Norwegian University of Science and Technology (NTNU), affiliated with the Department of Ocean Space Operations and Civil Engineering within the Faculty of Engineering. Her research focuses on decision theory, sustainable design, lean construction methodologies, and complex project management in engineering contexts. Her work emphasizes operational resilience in engineer-to-order projects, particularly in shipbuilding and construction industries. Key themes include supply chain management, circular economy principles, and managing uncertainty through stochastic modeling and adaptive frameworks. Vaagen has extensively published on topics like project flexibility, collective intelligence in teams, and socio-behavioral factors influencing project outcomes. Recent publications highlight innovative approaches to microplastic pollution mitigation in shipbuilding supply chains, quadruple helix collaboration for recycling initiatives, and robust planning methodologies. She has contributed to influential reports like the NextShip robustness summary and the SOPJI railroad infrastructure pricing model. Her research often bridges theoretical models with practical industry applications, leveraging tools like Monte Carlo simulation, stochastic programming, and lean construction principles. Collaborations span academia-industry partnerships in Norway and internationally.
Tore Gulden is an affiliated researcher at Oslo Metropolitan University, associated with the School of Architecture and Design's Department of Industrial Design. His work spans sustainable design, game theory, and systems thinking, with a focus on transmedia storytelling, consumer behavior, and institutional complexity. Key research themes include plastic consumption patterns, paradox management in public services, and the intersection of design with healthcare and technology. Gulden frequently collaborates with scholars like Linda Blaasvær and Arild Berg on interdisciplinary projects. His publications analyze topics such as autopoietic systems in games, toy design's role in social aesthetics, and participatory design methodologies. Recent work critiques unsustainable consumer practices and explores systemic design solutions for welfare systems. Gulden has presented at conferences like HCI International, E&PDE, and SCORAI-ERSCP-WUR, emphasizing applied human factors and design education. He co-authored the 2017 E&PDE proceedings on design for sustainability and contributed to a 2025 review on plastic consumption trends.
Ekaterina Kim is an Associate Professor in the Department of Marine Engineering at NTNU's Faculty of Engineering. Her research focuses on Arctic technology, sea ice mechanics, and structural analysis of marine structures under ice loads. She leads the Risk Group and co-founded the Arctic Hive Mind research initiative, emphasizing AI-driven solutions for Arctic navigation safety. Key affiliations include the Norwegian University of Science and Technology and collaborations with institutions like ASME and SNAME. Her work spans experimental and computational studies of ice-structure interactions, risk assessment models for ice-covered waters, and autonomous systems for environmental monitoring. Notable contributions include Bayesian network risk models for icebreaker operations and deep learning frameworks for sea ice classification under adverse weather conditions. Kim has advised over 20 master’s and PhD students on topics ranging from structural analysis of icebreakers to AI applications in maritime safety. Her interdisciplinary approach integrates mechanical engineering, data science, and environmental monitoring to address challenges in Arctic shipping and infrastructure resilience. Recent research highlights include developing a probabilistic approach to correct biases in shipborne sea ice mapping and creating material models for polycrystalline ice behavior during impacts. Her work is published in journals like Ocean Engineering , International Journal of Impact Engineering , and IEEE Sensors Journal .
Anniken Susanne Thoresen Karlsen is an Associate Professor in the Department of ICT and Science at the Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology (NTNU). She has extensive experience in research and teaching, with a focus on digital transformation, software-intensive systems, and emerging technologies. Karlsen holds leadership roles including deputy chair of the interdisciplinary NTNU research group SHAPE and active participation in multiple research centers. Her educational background includes: PhD in Information Science from the University of Bergen (UiB) Master's degree in Information Technology from Aalborg University (AAU) in Denmark Master of Science in Economics from the Norwegian School of Economics (NHH) Computer Engineering degree from Møre og Romsdal School of Engineering (MRIH) One-year practical-pedagogical education from NHH and UiB NTNU's UniPed program for employees Professor Karlsen's research spans a wide spectrum of digital transformation topics. Her work focuses on the integration of concepts from multiple domains to design and develop software-intensive systems. She explores modern software development methodologies, socio-technical systems thinking, and systems engineering approaches. A significant portion of her research addresses emerging technologies such as digital twins, virtual reality, and service robots as building blocks for innovative solutions. She also investigates the digital economy and sustainable development through digital transformation, with particular emphasis on business modeling and change management. Her recent publications demonstrate a strong focus on applying digital technologies to solve real-world problems across multiple sectors. There's a clear trend toward using digital twin technology in various contexts including urban planning, offshore wind farms, and healthcare. Her work in search and rescue operations shows consistent application of AI and knowledge management techniques. Karlsen's research bridges theoretical concepts with practical applications, particularly in sustainability-focused domains like renewable energy and healthcare. Professor Karlsen actively supervises students at all academic levels and has been involved in numerous research projects. She has held various academic leadership positions including vice-dean, head of department, and research group leader. Her collaborative work spans multiple sectors including healthcare, search and rescue, offshore, banking, food, and construction industries. She is affiliated with several research groups and centers: SHAPE - SamHandlingsArena for Prosjektledelse og Endring (2023-present), Deputy Chair The Norwegian Open AI Lab (NAIL) (2023-present) Green2050 - The Centre for Green Shift in the Built Environment (2022-present) Forskningsarena for bærekraftsanalyse (2020-present), Deputy Leader Forskningsgruppen for bærekraftig digital transformasjon, SDT (2017-present), Founder and former Leader
Jens-Patrick Andre Bjerk Langstrand is a researcher at the Institute for Energy Technology and affiliated with the Faculty of Computer Science, Engineering and Economics at Østfold University College . His work bridges applied machine learning with sensor fusion and vehicle safety, focusing on human factors in control room environments and real-time behavioral analysis. Education : Master's degree in Applied Computer Science from Østfold University College (2016). Current Role : Researcher and PhD candidate (Doctorate Degree study since 2020). Research Interests include: Physical modeling for tyre-road friction estimation using sensor fusion. Deep learning applications in alarm management for nuclear power plants. Computer vision systems for medical and aviation contexts. Behavioral analysis tools for automotive UI and space operations. Recent Publications highlight his interdisciplinary focus, combining machine learning , sensor fusion , and human factors across domains like road safety, healthcare, and aerospace. His doctoral work contributes to the CRiSp project (Critical Speed and Slippery Road Detection).
Ole Kristian Førrisdahl is an Associate Professor at the Department of Engineering, Østfold University College. His primary affiliations include the Faculty of Engineering where he teaches courses such as Technical Thermodynamics, Energy Technology, and Building Physics. His research focuses on energy technology, thermodynamics, and adsorption processes with particular emphasis on CO2 storage, natural gas hydrates, and sustainable energy systems. He holds a PhD in Computer Simulations of Natural Gas Hydrates from the University of Bergen (2002). Research interests span across adsorption fundamentals, industrial applications of adsorption processes, and energy storage solutions. He has actively contributed to projects involving hydrogen production/storage, material science for energy applications, and climate change mitigation strategies. His work frequently addresses challenges in fossil fuel dependency and recycling of plastics in Norway. Key publications include studies on methane clathrate hydrates (1996-1998), CO2 storage mechanisms (2011-2015), and the application of adsorption processes in chemical industries. He has collaborated on interdisciplinary projects such as heat exchange network optimization and the implementation of Bologna process reforms in engineering education. Academic contributions include developing a master's program in materials science focused on energy technology (2011). He has advised on innovation projects like the Kaffon coffee dosing container and participated in strategic initiatives related to intellectual property management in higher education.
Andrei Lobov is an Associate Professor at the Norwegian University of Science and Technology (NTNU), Department of Mechanical and Industrial Engineering. He specializes in knowledge-based engineering (KBE), AI-driven manufacturing systems, and ontology-based frameworks. His research focuses on integrating multi-disciplinary engineering knowledge into automated design and manufacturing processes, emphasizing interoperability and extendibility of systems. Education: B.S. in Computer and Systems Engineering (Tallinn University of Technology, 2001); M.S. in Automation Engineering (Tampere University of Technology, 2004); Ph.D. in Formal Methods in Factory Automation (Tampere University of Technology, 2008). Research Projects: Robotic Welding for Shipbuilding with Aluminium Hulls (2019-2023) – Contributing as a supervisor DIGIMAN: Multi-disciplinary knowledge integration for digital manufacturing (2021-2023) – Technical coordinator PERSEUS DP (2021-2026) – Manufacturing lead Research Interests: KBE frameworks, ontology-based systems, AI in manufacturing, digital twins, IoT integration, CAD/CAM automation, and interdisciplinary education. His work emphasizes leveraging semantic web technologies and machine-processable knowledge representation to enhance automation and interoperability in engineering workflows. Key Awards: Best Paper Award (12th IFAC Symposium, 2006) Best Presentation Paper Award (IEEE Industrial Informatics, 2008) Best Paper Award (International Conference on Systems, 2012) Teaching & Mentoring: Leads courses like TMM4270 (Knowledge-Based Engineering) and TMM4128 (Machine Learning for Engineers). Supervised over 20 MSc and PhD students, including notable works in KBE systems, human-robot collaboration, and IoT-driven manufacturing. Labs/Teams: Active in the Design, Analysis and Manufacturing (DAM) group at NTNU, focusing on KBE, digital twins, and automation. Developed the MOVIDA Tools Framework for formal validation in manufacturing systems.
Ashkan Jahanbani Ghahfarokhi is an Associate Professor at the Norwegian University of Science and Technology (NTNU), Department of Geosciences (IGV), specializing in reservoir engineering. He leads the CEORS Gemini Centre, a strategic collaboration between NTNU and SINTEF on CO2 Enhanced Oil Recovery & Storage. His roles include Head of the Well and Reservoir Group (2021-2022), Project Manager for the NORHED II Program in Mozambique, and Guest Editor for the Energies journal's AI/ML in Oil & Gas Special Issue. Education: PhD (NTNU, 2015), MEng (University of Calgary, 2009), MSc/BSc (Petroleum University of Technology, Iran) Research focuses on subsurface reservoir modeling, CO2 storage, data-driven techniques, and production optimization. Key interests include: CO2-EOR/Storage system design Machine learning integration in reservoir simulation Wellbore-reservoir coupling dynamics Recent articles emphasize advanced numerical modeling of CO2 injection in depleted gas fields, AI-driven proxy models for reservoir optimization, and interfacial tension analysis for hydrogen storage. His work spans 40+ peer-reviewed papers and 20+ conference presentations. Scientific Awards: NTNU's Outstanding Academic Fellows Programme (2022-2026), DNVA Postdoctoral Scholarship (2015-2017) Supervised 20+ master’s students and 4 PhD candidates, including Jinjie Mao (CO2 storage optimization), Cuthbert Ng (data-driven reservoir modeling), and Behnam Tavagh Mohammadi (CO2 field storage modeling). Active in teaching reservoir simulation, CO2 storage engineering, and petroleum geoscience courses at NTNU.
Benjamin Adric Dunn is an Associate Professor in (Neural) Data Science at NTNU's Department of Mathematical Sciences. Formerly, he held positions as a PhD researcher and postdoc at NTNU's Kavli Institute for Systems Neuroscience, with prior education including an MS in Computational Engineering from Purdue University and a BS in Applied Mathematics from the University of Connecticut. His career also includes industrial experience as a Computational Methods Engineer at Pratt & Whitney, UTC. His research focuses on integrating mathematical and computational approaches to understand neural systems, particularly spatial cognition, grid cells, and topological data analysis in neuroscience. Key contributions include work on toroidal representations in grid cells, posture coding in neocortex, and cohomological feature extraction from neural data. Publications emphasize multidisciplinary methods bridging algebraic topology, statistical physics, and neuroscience. Teaching includes courses like TMA4255 (Applied Statistics) and TMA4285 (Time Series). Outreach activities highlight engagement in scientific communication, including media interviews about posture-coding neurons and grid cell research.
Carl Fredrik Berg is Professor in the Department of Geoscience at the Norwegian University of Science and Technology. His research specializes in subsurface flow characterization using computational methods and digital rock physics approaches. Berg's work focuses on multiphase flow in porous media, CO2 storage applications, reservoir optimization, and digital rock analysis. He develops methods for pore-scale modeling, reservoir simulation, and uncertainty quantification to improve subsurface energy systems. His recent publications address sustainable oil production under carbon constraints, enhanced CO2 dissolution techniques, and advanced image-based permeability estimation. Research demonstrates increasing focus on energy transition challenges through carbon storage optimization and emissions-aware production strategies. Berg leads projects involving virtual drilling procedures for well placement optimization and lattice Boltzmann methods for wettability characterization. He collaborates internationally on pore-scale flow modeling initiatives.
Erica Margareta C E Löfström is an Assistant Professor at the Norwegian University of Science and Technology (NTNU), holding joint appointments in the Department of Design and the Department of Psychology. Her research focuses on Radical Innovation for Sustainable Futures, with expertise in eco-visualization, provotyping, and participatory design methodologies. She explores how design and technology can drive systemic changes toward a low-carbon society, emphasizing disruptive communication and co-creation with stakeholders. Her academic background bridges Computer Science and Science-Technology Studies (STS), enabling interdisciplinary approaches to environmental communication. Key projects include Nature In Your Face (NIYF) , INCITE-DEM (democratic innovation), and CLEANcultures (climate action in neighborhoods). She has authored over 30 publications, including peer-reviewed articles and reports on sustainable building, energy systems, and participatory processes. Dr. Löfström holds a PhD in Technology and Social Change from Linköping University (2008). She teaches courses in product design, interaction design, and environmental communication, emphasizing active learning and digital pedagogy. Her supervision includes ongoing PhD projects on sustainability narratives, eco-visualization for zero-emission neighborhoods, and climate action participation. Outreach activities include academic lectures on smart cities, renewable energy systems, and user-centered design. She collaborates with institutions like SINTEF and the European Council for an Energy Efficient Economy (ECEEE), addressing challenges in sustainable urban development and energy efficiency.
Fjola Gudrun Sigtryggsdottir is a Professor in the Department of Civil and Environmental Engineering at NTNU’s Faculty of Engineering. Her research focuses on dam safety engineering, geotechnical systems, and infrastructure resilience. Notable contributions include studies on embankment dam failure mechanisms, volcanic lava flow management, and rockfill dam stability under extreme conditions. Affiliations: NTNU, Norwegian Water Resources and Energy Directorate (NVE) Education: PhD in Engineering Sciences (2015) Research interests emphasize: Hydraulic and geotechnical performance of dams Failure analysis and breach modeling Geohazard monitoring for hydropower infrastructure Experimental methods using photogrammetry and smart sensors Recent work includes: 2025: Lava flow barrier design during Iceland’s Geldingardalir eruption 2024: Parametric breach model validation for embankment dams 2023: Photogrammetric analysis of rockfill dam failure Publications span journals like Frontiers in Built Environment , Water , and Journal of Hydraulic Engineering . Active in international collaborations through HydroCen and IAHR.
Jan Ola Strandhagen is a Professor at the Department of Mechanical and Industrial Engineering, Norwegian University of Science and Technology (NTNU), located at Gløshaugen campus. He specializes in production systems, Industry 4.0, supply chain optimization, and logistics. His research focuses on integrating advanced technologies like autonomous robotics, digitalization, and data-driven decision-making into manufacturing and healthcare systems. Key contributions include editing the 2023 IFIP APMS conference proceedings and authoring the textbook Produksjonslogistikk 4.0 (2021). He has advised over 20 master’s students on topics ranging from production feedback data to hospital logistics. Research interests span smart production planning, Industry 4.0 applications in healthcare, shipbuilding logistics, and sustainability in manufacturing. Notable projects include frameworks for strategic fit in planning environments and studies on offshoring strategies in shipbuilding. His work frequently addresses challenges in engineer-to-order production, lean manufacturing, and supply chain coordination. He collaborates internationally, with publications in International Journal of Production Research , Annals of Operations Research , and Sustainability .
Martin Ludvigsen is a Professor and manager of the Applied Underwater Laboratory (AUR-Lab) at NTNU's Department of Marine Technology. He also holds an adjunct professorship at Svalbard University Centre (UNIS) and is affiliated with NTNU AMOS. His research focuses on underwater robotics, unmanned vehicles, Arctic technology, and autonomous systems. He teaches courses like TMR4120 Underwater Engineering and leads the AUR-Lab, which develops robotic platforms for marine research. Research interests include vehicle control, autonomy, acoustic navigation, and Arctic observation systems. Collaborations involve deploying robotic vehicles in the Arctic and deep-sea environments. He has advised multiple PhD students and contributed to projects on ocean mapping, environmental monitoring, and robotic sampling. Key contributions include advancing underwater hyperspectral imaging, developing adaptive sampling strategies, and improving AUV navigation. His work bridges engineering and environmental science, addressing challenges in marine exploration and resource management.
