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.
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.
Oddbjørn Bruland is a Professor in Water Resources Engineering at NTNU's Department of Civil and Environmental Engineering and serves as Program Leader for the MSc in Hydropower Development. He holds a PhD and master's from NTNU, and an executive master's in Technology Management from MIT/NHH/NTNU. His expertise spans hydropower optimization, flood risk management, snow hydrology, and digital transformation in environmental systems. Bruland's research focuses on: 1) Snow as a resource for hydropower/skiing through snowpack modeling and melt processes, 2) Flood risk mitigation using advanced hydrodynamic modeling and GIS tools, 3) Hydropower planning balancing techno-economic and socio-environmental factors, and 4) Digital innovation like VR visualization of natural hazards. His strategic initiatives include NTNU's 'World of Wild Waters' project and the HydroCen Labs infrastructure. Recent work emphasizes flash flood dynamics in steep Norwegian rivers, using models like TELEMAC-2D and high-performance computing. He leads projects like Trygg Elv (flood detection algorithms) and QuickAware (VR landslide awareness tools). His publications address critical issues in cold region hydrosystems, hydraulic infrastructure optimization, and climate adaptation strategies. Bruland has held leadership roles including Water Resources Group Leader (2016-2020), Board Chair for NTNU/NHH's Tech Management program, and Chair of Strindheim Ski Club. He advises on flood protection policies and infrastructure resilience, advocating for evidence-based decision-making in environmental management.
R. Jason Hearst is a Professor at the Department of Energy and Process Engineering, Norwegian University of Science and Technology (NTNU), within the Faculty of Engineering Sciences. He is currently on sabbatical (2024–2025) and visiting the University of Toronto Institute for Aerospace Studies (UTIAS). His research focuses on experimental turbulence measurements, including gas-liquid interface dynamics, wind turbine aerodynamics, and turbulent boundary layer interactions. He holds a PhD from the University of Toronto (2014) and has led major grants like the ERC Starting Grant (GLITR) and挪威 Research Council's FRINATEK (WallMix). Academic Background: 2023–Present: Professor, NTNU 2017–2023: Associate Professor, NTNU 2015–2017: Postdoctoral Fellow, University of Southampton 2009–2014: PhD, University of Toronto 2005–2009: BASc in Aerospace Engineering, University of Toronto Research Interests: Experimental measurement of turbulent flows Gas-liquid interface interactions (e.g., air-sea turbulence) Impact of turbulence on airfoils, wind turbines, and buildings Free-stream turbulence effects on boundary layers Development of bespoke turbulence generation techniques Key Publications Trends: Focus on gas transfer mechanisms at air-water interfaces Wake dynamics of wind turbines and porous disks Interaction between turbulence and wave dynamics Experimental validation using PIV/LIF techniques Grants and Supervision: Primary supervisor for 7 PhD students (e.g., Adharsh Shankaran, Youssef Elashmawi) Postdoctoral fellows working on turbulence-airfoil interactions, wave-turbulence coupling Key grants: ERC GLITR (€2.5M), FRINATEK (NOK 10M) Labs and Teams: Active in NTNU's fluid mechanics laboratory Collaborations with SINTEF Energi AS and ETH Zürich Group webpage highlights experimental setup innovations
Leon Li is a Research Fellow in the Department of Energy and Process Engineering at the Norwegian University of Science and Technology (NTNU), conducting experimental research on wake behaviors of objects ranging from simple geometries to wind turbines under turbulent flow conditions. His work utilizes advanced diagnostics including constant temperature anemometry (CTA), laser Doppler anemometry (LDA), and particle image velocimetry (PIV) in a water channel facility with active turbulence control. His research interests focus on Fluid Mechanics, Turbulent Flows, and Wind Energy, with specific expertise in aerodynamic interactions, wake dynamics, and air-water interface phenomena. Li employs experimental methodologies to investigate how freestream turbulence influences pressure distributions, vortex structures, and energy transfer mechanisms in complex fluid systems. Analysis of his 11 publications from 2019-2025 reveals consistent emphasis on experimental fluid dynamics applications in renewable energy and environmental systems, particularly wind turbine aerodynamics and turbulence-gas transfer relationships. His collaborative work demonstrates methodological rigor in turbulence generation and flow measurement techniques. Li operates within NTNU's experimental facility at Strømningsteknisk, Gløshaugen, where he utilizes active grid systems in water channels to simulate controlled turbulent environments for studying object-fluid interactions across multiple scales.
Qian Wang is a Researcher at the Department of Energy and Process Engineering, Faculty of Engineering, Norwegian University of Science and Technology (NTNU). Their research focuses on combustion diagnostics, laser-based measurement techniques, and advanced imaging systems for fluid dynamics analysis. Key areas include soot characterization, flame tomography, and the development of cost-effective diagnostic tools. Research interests encompass combustion kinetics, thermometry, and particle dynamics, with applications in propulsion systems and material science. Recent work emphasizes the use of machine learning and deep learning for data-driven diagnostics, particularly in turbulent combustion environments. Publications highlight innovations in volumetric reconstruction, time-resolved imaging, and optimization of optical systems under constrained conditions. No scientific awards are mentioned in the provided text. Qian’s work involves collaboration with engineering teams to advance combustion diagnostics through interdisciplinary approaches, though specific grants or advising roles are not detailed here.
Ralph Kube is a researcher affiliated with the University of Tromsø, specializing in plasma physics and fusion research. His work primarily focuses on scrape-off layer (SOL) dynamics in tokamaks, investigating blob propagation, zonal flow generation, and statistical properties of plasma fluctuations. He has collaborated extensively with the Alcator C-Mod tokamak team at MIT on diagnostic techniques like gas-puff imaging and mirror Langmuir probes. Doctoral thesis (2014) on blob velocity scaling and dissipation mechanisms Master’s thesis (2010) on numerical studies of radial filament motion Research interests include: Plasma turbulence and transport in magnetic confinement devices Statistical analysis of intermittent fluctuations Computational modeling of blob dynamics Application of machine learning in fusion diagnostics Recent publications analyze SOL blob behavior, cross-field transport, and novel diagnostic methods. His work bridges theoretical models with experimental validation, contributing to heat flux mitigation strategies in fusion reactors.
Jørgen Avdal is a Researcher at the Department of Circulation and Medical Imaging within the Faculty of Medicine and Health Sciences at the Norwegian University of Science and Technology (NTNU). His work focuses on advanced ultrasound imaging techniques with applications spanning cardiovascular medicine and petroleum engineering. His research group maintains strong collaborations with clinical departments and industry partners. Avdal's primary research interests include ultrasound Doppler techniques, blood flow quantification, vector velocity estimation, and 3D echocardiography. His work bridges medical applications—particularly in cardiac imaging, vascular access monitoring, and microcirculation—with industrial applications in oil and gas borehole monitoring. He has developed novel methods for flow-line-based analysis, adaptive clutter filtering, and high-frame-rate Doppler imaging. His publication record shows consistent output in high-impact journals including IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, Scientific Reports, and Ultrasound in Medicine and Biology. His recent work demonstrates increasing focus on machine learning applications in ultrasound image analysis, 3D flow quantification in cardiac applications, and cross-disciplinary applications of ultrasound technology in both medical and petroleum engineering contexts. Avdal has co-developed FLUST, an open-source framework for ultrasound blood flow simulations, highlighting his commitment to open science and reproducible research. His work often involves interdisciplinary collaborations with researchers in cardiology, vascular surgery, petroleum engineering, and signal processing. His research group at NTNU appears to be part of the larger ultrasound research community at the university, which maintains strong ties with St. Olavs Hospital and other clinical institutions. The team works on translating advanced ultrasound techniques from simulation and laboratory environments to clinical and industrial applications.
Anders Christofer Lundqvist is a Professor at the University of Oslo , affiliated with the Division of Health Services Research and Psychiatry. His research focuses on neurology, pain management, geriatrics, and health services research, with extensive publications on medication-overuse headache, chronic pain, cognitive impairment, and post-cardiac arrest outcomes. Email: a.c.lundqvist@medisin.uio.no Research Interests include: Medication-overuse headache and detoxification strategies Cognitive effects of CNS depressants in older adults Chronic headache epidemiology and comorbidities Long-term outcomes post-cardiac arrest Public health implications of analgesic use in vulnerable populations Recent article trends (2014-2025) highlight expertise in: Neuropharmacology of CNS depressants Pain assessment tools in geriatric populations Clinical interventions for medication misuse Epidemiology of post-COVID cognitive impairment Biomarker discovery in critical care settings Population-based health outcomes in Norway Research Groups: Clinical Neuroscience Group, Ahus (CNG) Health Services Research, Akershus University Hospital Projects: Brief intervention for medication misuse among older adults PATHWAYS: Improving care pathways for older people
Rebecca Marcella Suter is a Professor of Japanese Studies at the University of Oslo's Institute for Cultural Studies and Comparative Literature (IKOS). Her research focuses on comparative cultural studies, particularly Japan's creative engagement with Euro-American culture, challenging conventional notions of globalization and transnationalism. She holds a Ph.D. from the Università degli Studi di Napoli 'l'Orientale' (2004) and conducted postdoctoral research at Harvard University's Reischauer Institute (2005). She taught at Harvard, Brown University, and the University of Sydney before joining IKOS in 2023. Her academic contributions include monographs such as The Japanization of Modernity (2008), Holy Ghosts (2015), and Two-World Literature (2020), as well as co-edited volumes like Women's Manga in Asia and Beyond (2019). Her current research explores representations of Northern/Southern Europe in Japanese culture, introducing the concept of 'Near West' to reframe Western modernity narratives. Teaching responsibilities include courses on modern Japanese literature, national identity through novels, and comparative trauma studies. She actively participates in transdisciplinary projects like the Eco-Emotions initiative examining environmental change's affective dimensions in literature. Her scholarship bridges literary analysis with cultural history, emphasizing transnational networks and gendered perspectives in media like manga. Despite no explicitly listed awards, her extensive publication record reflects recognition in academic circles.
Kanutte Huse is a Researcher at the Institute for Cancer Research, University of Oslo. Her work focuses on cancer immunology, B-cell lymphoma, and tumor microenvironment dynamics. She has contributed extensively to understanding immune mechanisms in hematological malignancies and breast cancer progression. Her research integrates advanced techniques like mass cytometry and genomic analysis to dissect cellular heterogeneity and signaling pathways in tumors. Key areas include regulatory T-cell behavior, CAR T-cell therapy development, and molecular drivers of oncogenesis. The articles highlight her exploration of antigen receptor signaling, T-cell exhaustion, and immunosuppressive signatures in metastatic settings. Publications span from 2014 to 2024, demonstrating a sustained focus on translational immunology and oncology. Collaborations involve interdisciplinary teams investigating biomarkers, therapeutic targets, and mechanistic insights into lymphoma and breast cancer. While no specific awards or grants are mentioned, her contributions align with major research priorities in cancer biology and immunotherapy.
Professor Martin Fernø is affiliated with the Department of Physics and Technology at the University of Bergen. His research focuses on reservoir physics, multiphase flow in porous media, CO2 and hydrogen storage, and enhanced oil recovery. He leads the Reservoir Physics – Energy Technology and CO2 Storage (CCUS) research group. Research interests include capillary heterogeneities, wettability effects, in-situ imaging via MRI/NMR/CT, and SCAL techniques. He has contributed to projects like HyPE (Hydrogen Storage in Subsurface Porous Media) and FluidFlower, a meter-scale CO2 storage laboratory. His work integrates experimental and computational methods to address energy transition challenges. Recent publications explore microbial interactions in hydrogen storage, CO2 mobility control via foam, and pore-scale dynamics. He advises PhD candidates and mentors master’s students in reservoir physics and energy technology. Key collaborations involve NORCE, Equinor, and the Research Council of Norway. Labs/Teams: FluidFlower Lab, Reservoir Physics Research Group Funding: HyPE (Research Council of Norway), CSSR (Center for Sustainable Subsurface Resources)
Ankica Babic is a Professor in the Department of Information Science and Media Studies at the University of Bergen, where she conducts research and teaching in medical informatics. Her academic work bridges information science and healthcare, focusing on the development and evaluation of information systems to improve healthcare delivery and patient outcomes. Professor Babic's research centers on Medical Informatics, with specific expertise in developing information systems for healthcare settings. Her work includes web-based systems, databases, and mobile applications designed to gather knowledge from medical data and improve information flow in healthcare systems. She has made significant contributions to areas including intelligent phonocardiography, HIV data reporting systems, mobile applications for chronic disease management, and digital twin technology for personalized healthcare. Her research is characterized by close collaboration with healthcare professionals and medical experts, ensuring practical applicability of her work. Analysis of her recent publications reveals a strong focus on digital innovation in healthcare, particularly in the areas of digital twins for heart care, AI applications in cognitive decline diagnosis, and mobile platforms for patient self-monitoring. Her research shows an evolving trajectory from foundational work in electronic medical records and data management toward more sophisticated applications of artificial intelligence and personalized health technologies. The interdisciplinary nature of her work spans computer science, healthcare delivery, and patient-centered design. Professor Babic has supervised numerous students and collaborated on various application development projects including Cherry (a mobile application for children with cancer), self-reporting tools for bipolar patients, safety reporting applications for postoperative care, and multiple sclerosis management applications. Her teaching portfolio includes courses on information science, data management, and artificial intelligence at both bachelor's and master's levels. Her research group appears to focus on medical informatics with particular strength in mobile health applications, data visualization, and AI applications in cardiology and chronic disease management. The team frequently collaborates with healthcare institutions in Norway and internationally, particularly on projects related to HIV data reporting in Kenya and other low-resource settings.
R. Jason Hearst is a Professor at the Department of Energy and Process Engineering , Norwegian University of Science and Technology (NTNU) , specializing in experimental turbulent flow analysis. His research focuses on high Reynolds number turbulence generation, air-sea interface dynamics, aerodynamic impacts of turbulence on structures, and wind-assisted propulsion systems. He employs advanced diagnostics like Particle Image Velocimetry (PIV) and Laser-Induced Fluorescence (LIF) to explore turbulence-structure interactions and gas transfer mechanisms. Academic Milestones: PhD (2009–2014), Institute for Aerospace Studies, University of Toronto Postdoctoral Fellowship (2015–2017), University of Southampton Professor (2023–Present), NTNU Research Themes: His work bridges fundamental turbulence studies with applied energy systems, including wind turbine aerodynamics, bridge deck wind loading, and UAV icing mitigation. Current projects like reSail (wind-assisted propulsion) and GLITR (gas-liquid interface turbulence) highlight his interdisciplinary approach. Publications: Recent studies analyze freestream turbulence effects on wall-bounded flows, air-water gas transfer mechanisms, and vortex dynamics in wind turbine wakes. Collaborative articles with postdoctoral fellows (e.g., Leon Li, Pim Bullee) emphasize experimental validation and cross-institutional partnerships. Laboratory Contributions: As coordinator of the Fluid Mechanics Lab , he oversees advanced equipment for turbulence measurement and wind tunnel testing. His team includes PhD candidates and postdoctoral researchers working on topics like oxygen transport at air-water interfaces and turbulent mixing in non-Newtonian systems.
Chirag Trivedi is an Associate Professor at the Norwegian University of Science and Technology (NTNU), affiliated with the Department of Energy and Process Engineering under the Faculty of Engineering. He specializes in hydropower research, particularly focusing on fluid structure interactions, computational fluid dynamics (CFD), and turbine optimization. Trivedi holds a PhD from the Indian Institute of Technology, completed in collaboration with Luleå University of Technology. His career includes roles as a Postdoctoral Fellow and Senior Researcher at NTNU, and prior experience as a Senior Design Engineer at Rainpower AS. His research emphasizes hydraulic turbine design, energy flexibility, and sustainable hydropower solutions. Key projects include FME RenewHydro (an eight-year Norwegian Research Centre), Store2Hydro (EU-funded hydropower storage innovation), and the BoundaryLayer initiative. He leads work packages in these projects, contributing to advancements in reversible pump-turbine technology and energy storage systems. Trivedi teaches courses on energy sustainability, CFD, and hydropower systems at NTNU, instructing over 300 students annually across various levels. He has supervised 19 MSc and PhD students, 7 currently ongoing, and has mentored postdoctoral researchers. His work includes over 39 journal articles and 15 conference papers, with citations exceeding 2,500 (Google Scholar). He is actively involved in scientific societies such as the International Association for Hydro-Environment Engineering and Research and contributes to standardization efforts via IEC committees. Trivedi’s research group, the Fluid Structure Interaction (FSI) team, operates from the Waterpower Laboratory at NTNU’s Gløshaugen campus. His work bridges experimental and computational methods to address challenges in turbine durability, vibration, and energy system efficiency. Recent focus areas include sediment management in hydropower plants and transient operation impacts on turbine components.
