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Charles JensenView profile

Associate Professor

• Pattern Recognition
• Machine Learning
• Image Analysis
• +2 more

Charles Jensen is an Associate Professor at the University of Oslo's Department of Informatics, specializing in digital signal processing and image analysis. His research focuses on developing advanced computational methods for pattern recognition, machine learning, and acoustic signal processing applications. Research interests span medical imaging, geophysical data analysis, and remote sensing, with emphasis on adaptive algorithms for noise reduction and automated interpretation. Recent publications demonstrate innovations in ultrasound image enhancement and seismic data processing using neural networks. His work in the Digital Signal Processing and Image Analysis group involves developing practical solutions for real-world challenges in healthcare diagnostics and geological exploration.

• Medical Ultrasound Imaging
• Image Quality Enhancement
• Beamforming Techniques
• +7 more

Svein-Erik Måsøy is a Professor in the Department of Circulation and Medical Imaging at Norwegian University of Science and Technology (NTNU), affiliated with the Faculty of Medicine and Health Sciences. His research focuses on improving medical ultrasound imaging quality through advanced beamforming techniques, aberration correction, and sound velocity estimation. From 2022-2024, he served as the Center Director of the Center for Innovative Ultrasound Solutions (CIUS). Research Interests: Måsøy’s work emphasizes enhancing image clarity in medical ultrasound to aid early disease detection and robust diagnostics. He specializes in beamforming optimization, adaptive image quality enhancements, and clinical validation of these techniques in echocardiography and fetal ultrasound. His recent projects include applying deep learning for automated measurements in salmon farming and improving 3D echocardiography imaging. Publications Trends: His recent publications span 2022-2025, addressing topics like deep learning-based image quality scoring, coherence-based aberration correction in fetal ultrasound, and Doppler ultrasound applications in borehole fracture analysis. These reflect a blend of clinical and geophysical ultrasound innovations. Lab/Teams: As former CIUS Director, he contributed to interdisciplinary ultrasound research collaborations. His work integrates medical imaging with machine learning and geophysical applications, fostering advancements in both clinical and industrial ultrasound technologies.

Hannah Rose BabelView profile

Assistant Professor

• Geomicrobiology
• Deep Biosphere
• Microbial Ecology
• +3 more

Hannah Rose Babel is an Assistant Professor in the Department of Earth Science at the University of Bergen, Norway, with office location at Allégaten 41, room 3A10d - 3102, and contactable via hannah.babel@uib.no. Her research focuses on Earth's largest biome—the deep subsurface biosphere—with emphasis on microbial processes in oceanic crust. Dr. Babel's work centers on geomicrobiology and deep biosphere dynamics , specifically investigating microbial colonization of fresh basalt glass in upper oceanic crust. Using subsurface observatories (SSOs) deployed at Surtsey volcano—a mid-ocean ridge analogue—she employs SEM microscopy and 16S rRNA meta-barcoding to study pioneer microbial communities. Her research reveals that fluid chemistry dominates over mineral substrate in shaping initial colonization patterns, challenging assumptions about mineral-driven microbial distribution in hydrothermally active zones. Her 2022-2024 publications demonstrate consistent focus on extreme-environment microbiology, spanning DNA/RNA stability at cryogenic temperatures, Arctic hydrothermal sulfate reduction, and basalt colonization mechanisms. These works highlight interdisciplinary integration of geochemistry, microbiology, and ocean crust studies to map life's limits in Earth's subseafloor. Supported by Research Council of Norway funding (project 288349), Dr. Babel actively disseminates findings through conferences including NORBIS and Microenergy Workshop. She collaborates extensively with international teams on deep biosphere projects, particularly through subsurface observatory deployments. Affiliated with the Geochemistry & Geobiology research group and Center for Deep Sea Research, she contributes to Bergen's leadership in marine geoscience through field-based investigations of microbial-rock interactions in nascent oceanic crust.

Christian Haug EideView profile

Professor

• Clastic Sedimentology
• Sedimentary Basin Studies
• Geohazards
• +5 more

Christian Haug Eide is a Professor of Sedimentology at the Department of Earth Science, University of Bergen. His research focuses on clastic sedimentology, sedimentary basin dynamics, and geohazard analysis. He leads projects like the ISBAR and FueBAR initiatives studying the Barents Sea's Triassic sediment routing systems. His work integrates geophysics, reservoir modeling (e.g., GEOPARD algorithm), and climate change impacts. He advises numerous graduate students and collaborates on offshore wind site surveys and CO2 storage feasibility studies. Key roles include co-leader of the offshore wind geological survey project and work package leader for reservoir modeling initiatives. Teaching includes advanced sedimentology courses and fieldwork in the Spanish Pyrenees and Utah's Book Cliffs.

• Urban Planning
• Landscape Architecture
• Climate Adaptation
• +4 more

Marja Skotheim Folde serves as a University Lecturer in the Department of Urbanism and Landscape Architecture at the Oslo School of Architecture and Design (AHO), where she actively contributes to academic instruction and research. Her institutional role focuses on integrating ecological principles into urban development frameworks, particularly through nature-based solutions and climate-resilient design. Her research centers on transforming degraded landscapes—including landfills, river corridors, and contaminated sites—into functional green spaces through interdisciplinary approaches. Key interests include blue-green infrastructure, strategic urban planning, water-sensitive design, and participatory processes in municipal development. She emphasizes practical implementation of theoretical concepts, often bridging Norwegian urban contexts with international case studies from Spain. Recent publications reveal a strong trajectory toward regenerative urban development, with emphasis on municipal-scale blue-green strategies for climate adaptation. Her work consistently connects water management systems with landscape urbanism, addressing legacy contamination while creating multifunctional public spaces. The research demonstrates growing focus on Norwegian municipalities like Lørenskog and Bærum, building on earlier work in Granada's metropolitan region.

• Environmental Chemistry
• Radiochemistry
• Geochemistry
• +5 more

Estela Reinoso Maset is a Researcher at the Faculty of Environmental Sciences and Natural Resource Management (MINA), Norwegian University of Life Sciences (NMBU). Her work focuses on environmental radiochemistry, particularly the geochemical behavior of radionuclides and trace elements in natural systems. Key research areas: Uranium speciation, radionuclide mobility, alum shale waste characterization, selenium speciation in animal nutrition, and contaminant transport modeling Expertise: Advanced analytical techniques (ICP-MS/MS, synchrotron XRF, gamma spectrometry) and geochemical modeling (PHREEQC, Visual MINTEQ) Fieldwork: Chernobyl and Fukushima exclusion zones, Hanford sediments, Norwegian alum shale sites Her recent publications emphasize uranium-phosphate mineral interactions (2020-2023), alum shale weathering dynamics (2023-2025), and selenium bioavailability in swine nutrition (2022). Notable methodologies include flow-through reactor experiments, synchrotron-based imaging, and microbial activity assays using tritiated leucine.

Jakub Wiktor BothView profile

Researcher

• Porous Media
• Numerical Methods
• Image Analysis
• +5 more

Jakub Wiktor Both is a permanent researcher at the Department of Mathematics, University of Bergen (UiB). He is affiliated with the Porous Media Research Group and the Center for Modeling of Coupled Subsurface Dynamics. His research focuses on numerical methods for multiphysics problems in porous media, including image-based data analysis for laboratory experiments and mathematical modeling of CO2 storage. His work involves developing tools like the DarSIA (Darcy Scale Image Analysis) toolbox for fluid displacement analysis and PorePy, a Python simulation framework for fractured porous media. He leads projects on CO2 storage validation and has been awarded an NFR FRIPRO grant for his TIME4CO2 initiative, aiming to enhance CO2 storage capacity through mathematical modeling. Key research themes include optimal transport metrics, robust numerical solvers for coupled systems, and gradient flow structures in dissipative systems. His contributions span experimental validation frameworks (e.g., FluidFlower), digital twins (PoroTwin), and open-source software for subsurface dynamics. Notable awards include election as Chair of the Board of InterPore Norway (2024) and leadership in international projects like ERC CoG MaPSI and NFR Petrosenter CSSR. His interdisciplinary approach bridges mathematics, geoscience, and engineering for sustainable subsurface resource management.

• Geophysics
• Seismic Monitoring
• CO2 Storage
• +5 more

Martin Landrø is a Professor at the Department of Electronic Systems , Norwegian University of Science and Technology (NTNU). He specializes in geophysics, seismic monitoring, and fiber optic sensing technologies, with a focus on CO2 storage, oceanographic processes, and petroleum engineering applications. His research spans environmental monitoring, reservoir characterization, and subsurface analysis. Key projects include: DigiMon - Digital Monitoring of CO2 Storage Projects GeoEnhance Consortium - Integration of Sedimentology and Seismic for Enhanced Reservoir Characterization Research trends: Recent publications highlight his work on distributed acoustic sensing (DAS), subsurface CO2 injection monitoring, ocean surface wave dynamics, and low-frequency seismic analysis for subsea oilwell operations. His projects bridge geophysical forecasting, environmental engineering, and advanced sensor technologies. Collaborations: Active in NTNU's scientific community, he collaborates with institutions like NORCE Norwegian Research Centre AS and contributes to SPE Journal and EAGE Annual Meeting publications.

Anita TorabiView profile

Professor

• Structural Geology
• Fault Mechanics
• Fluid Flow in Deformed Reservoirs
• +6 more

Anita Torabi is a Professor in Structural Geology at the University of Oslo , affiliated with the Department of Geosciences. Her research focuses on structural geology, fault mechanics, fluid flow in deformed reservoirs, CO2 storage, geothermal reservoirs, and seismicity. She employs advanced methods such as 3D seismic analysis, fault asperity studies, and machine learning for geological applications. Key affiliations: University of Oslo, NORCE (2015-2018), Uni Research CIPR (2008-2018) Education: PhD in Geosciences (2008) - University of Bergen Research Interests include: Fault mechanics and deformation processes Fluid flow in faulted reservoirs CO2 storage and green energy solutions Geomechanics and seismic risk assessment Machine learning in structural geology Basement rock fracture analysis Recent Publications highlight trends in: 3D fault characterization using deep learning Fluid dynamics in siliciclastic-carbonate systems Seismic attribute analysis for fault geometry Compaction bands in Tertiary-Quaternary sequences Ontology-driven geological modeling Machine learning applications for CO2 storage Research Leadership includes projects such as: CO2 Seal and Bypass – COPASS CO2SafeQuest (fault behavior for CO2 storage) gigaCCS@UiO (Center of Excellence in Carbon Capture) VICCO (volcanic-sedimentary CO2 storage) Pool Studies CO2 Storage research group

Gaute LingaView profile

Researcher

• Fluid Dynamics
• Porous Media
• CO2 Storage
• +4 more

Dr. Gaute Linga is a Researcher at the NJORD Center for the Study of Earth Physics, University of Oslo , Norway. His work focuses on fluid dynamics in porous media , with applications to CO2 storage , geophysics , and electrohydrodynamics . He develops numerical frameworks like Bernaise for simulating multiphase systems and contributes to understanding chaos in fluid flows , solute dispersion , and mineral precipitation in subsurface environments. His research spans Computational Physics , Geophysical Fluid Dynamics , and Materials Science , often published in journals like Nature Physics , Advances in Water Resources , and Physical Review Fluids . He collaborates with teams at the VISTA Center for CO2 Storage in Volcanic-Sedimentary Systems (VICCO) and the Department of Geosciences . Contact: gaute.linga@mn.uio.no

Bernd EtzelmüllerView profile

Professor

• Geocryology
• Permafrost
• Glaciology
• +8 more

Bernd Etzelmüller is a Professor at the Section for Geography and Hydrology (GeoHyd) within the University of Oslo , specializing in geocryology , permafrost dynamics , and glacial/periglacial geomorphology . His research focuses on Arctic and mountain cryosphere systems , ground thermal regime modeling , and geohazard assessment related to permafrost degradation. Key projects include CryoWALL (steep permafrost slopes), PERMANOR (Norwegian permafrost landscapes), and SatPerm (satellite-based permafrost modeling). He leads international collaborations on permafrost warming, infrastructure risks, and climate-terrain interactions. His recent publications examine permafrost degradation patterns (2024), frost weathering processes (2023), and rock slope stability in subarctic regions (2022). Research spans Arctic Science , Earth Surface Dynamics , and Nature Communications , with emphasis on climate change impacts and modeling tools like CryoGrid. Awards and grants are not explicitly listed, but his work informs infrastructure risk assessments and permafrost education frameworks across the Nordic region.

Kent-Andre MardalView profile

Professor

• Computational Mechanics
• Biomechanical Applications in Medicine
• Brain Clearance During Sleep
• +5 more

Kent-Andre Mardal is a Professor at the Department of Mathematics , University of Oslo . He specializes in computational mechanics with a strong focus on biomechanical applications in medicine , particularly in modeling brain clearance mechanisms during sleep. His work integrates multi-physics modeling , fluid-structure interaction , and poroelastic couplings to advance understanding of the glymphatic system and cerebrospinal fluid dynamics. Education: PhD (2002) – Simula Research Laboratory Research Interests: Mardal's research spans a wide range of disciplines including: Computational Mechanics – developing robust numerical algorithms for complex physical systems Biomechanical Applications – particularly in neuroscience and medical imaging Brain Clearance During Sleep – modeling the glymphatic system and CSF flow dynamics Multi-Physics Modeling – integrating fluid dynamics, elasticity, and neural networks Finite Element Methods – for accurate and efficient simulations Neural Networks in Scientific Computing – exploring physics-informed neural networks Research Trends from Publications: Mardal's recent publications (2022–2025) demonstrate a clear focus on brain fluid dynamics , particularly the glymphatic system , CSF circulation , and neurodegenerative disease modeling . He employs advanced numerical techniques such as isogeometric analysis , physics-informed neural networks , and parameter-robust preconditioning to solve complex multi-physics problems. His work bridges medical imaging (MRI) with computational modeling to provide insights into brain clearance mechanisms and their impairment in diseases like Alzheimer's. Scientific Awards: No specific awards are mentioned in the provided text. Grants and Projects: Currently, Mardal is the Principal Investigator (PI) of three active research projects: Alzheimer's Physics – exploring the role of fluid dynamics in neurodegeneration Scientific Machine Learning – advancing numerical methods with AI Computational Hydrology – modeling subsurface fluid flow Affiliations and Teams: Mardal was previously a group leader at the Centre of Excellence “Biomedical Computing” at the Simula Research Laboratory. He has authored over 100 papers and several books, and his research homepage is available at https://kent-and.github.io/ .