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Inga BerreView profile

Professor

• Applied Mathematics
• Geothermal Energy
• Porous Media
• +3 more

Inga Berre is a Professor at the Department of Mathematics, University of Bergen, and serves as Director of the Center for Modeling of Coupled Subsurface Dynamics (CSD). She leads the Porous Media Research Group and was appointed Argyris Visiting Professor at the University of Stuttgart's SimTech Cluster of Excellence in 2023. Research Interests: Mathematical modeling, partial differential equations, numerical methods for coupled thermo-hydro-mechanical-chemical processes in subsurface systems, and fault reactivation induced by injection/production. Scientific Leadership: Member of SIAM Council (2022-2027), Chair of SIAM GS activity group (2021-2022), Co-Chair of SET-Plan Deep Geothermal Implementation Working Group (2019-2021), and Chair of the Joint Program Geothermal, European Energy Research Alliance (2018-2021). Awards: 2011 Meltzer Award for Young Researchers. Advisory Roles: Member of Scientific Advisory Boards for GFZ (2024-2027) and SFB1313 (2018-), among others. Teaching: Developed courses on calculus, functional analysis, mathematical modeling, and numerical methods at the Bergen Summer Research School.

Johannes SkaarView profile

Professor

• Quantum Field Theory
• Quantum Optics
• Electromagnetics
• +3 more

Johannes Skaar is a Professor at the Department of Physics, University of Oslo (UiO). He holds a 100% position there since 2017, previously at NTNU. His research focuses on quantum field theory, quantum optics, electromagnetics, metamaterials, photonics, and quantum information. He teaches advanced courses such as FYS4170 Relativistic Quantum Field Theory and FYS1005 Classical Mechanics. His work spans theoretical physics with notable contributions to single-photon states, metamaterial properties, and quantum cryptography security. Skaar’s research integrates foundational physics with applied technologies like metamaterials and quantum communication systems. His studies on Fresnel equations and magnetic permeability have advanced electromagnetic theory. He frequently publishes in top journals like Physical Review A and Physical Review Letters . Research groups: Theoretical Physics at UiO.

• Safe Reinforcement Learning
• Data-Driven Model Predictive Control
• Artificial Intelligence
• +7 more

Sebastien Nicolas Gros is a Professor at the Department of Engineering Cybernetics, Norwegian University of Science and Technology (NTNU). His research focuses on safe reinforcement learning (RL) and data-driven model predictive control (MPC), with applications in energy systems, biomedical engineering, and autonomous vehicles. Institution: Norwegian University of Science and Technology Department: Engineering Cybernetics His work emphasizes AI-driven optimization for domestic energy storage, battery integration, and smart building management. Collaborations include Equinor, DNV, Kongsberg, Volvo, and CorPower Ocean. Key themes in his publications include: Control theory for renewable energy systems (wave energy converters, buildings) Biomedical applications (artificial pancreas, glucose monitoring) Transportation systems (electric vehicles, autonomous ships) Machine learning integration with physical models He supervises 6 PhD students and co-supervises projects on multi-rotor wind turbines and industrial PhD collaborations. The articles demonstrate a convergence of RL, MPC, and uncertainty quantification across energy, biomedical, and transportation domains.

Bodil HolstView profile

Professor

• Surface Science
• Scientific Instrumentation
• 2D Materials
• +3 more

Bodil Holst is a Professor at the University of Bergen's Department of Physics and Technology , specializing in surface science and scientific instrumentation development . Her research spans 2D materials , helium atom scattering , and archaeometry applications. She leads projects like Nanometer-Resolution Matter-Wave Lithography (FET-Open), 2D Material Properties (NFR FRIPRO), and Wind Turbine Erosion Prevention (Equinor). Her Nanophysics Group has produced groundbreaking work on graphene's temperature-dependent rigidity and icephobic surfaces . First neutral helium microscope images (2008) Recorded bending rigidity of 2D materials (2018-2021) Developed solid-state conversion techniques for sapphire (2017-2021) Her teaching innovations in classical mechanics explore retrieval practice and digital learning structure , documented in Physics Education and Physical Review Physics Education Research .

• Computational Physiology
• Biomechanics
• Cardiac Electromechanics
• +7 more

Joakim Sundnes is a Chief Research Scientist and Research Professor at the Department of Scientific Computing, Simula Research Laboratory. He specializes in computational physiology, cardiac biomechanics, and mathematical modeling of cardiovascular systems. Key Research Areas: Cardiac electromechanics, computational fluid dynamics in cardiology, uncertainty quantification in cardiac models, and mechano-electric feedback mechanisms Recent Trends: Focus on patient-specific modeling, left atrial flow dynamics, right ventricular mechanics in pulmonary hypertension, and personalized treatment simulations Scientific Contributions: Active participant in international conferences and editorial work. Co-author of multiple benchmark studies and educational texts on physiological modeling.

Hennes Alexander HajdukView profile

Research Fellow

• Physical Oceanography
• Influence of Bottom Topography on Oceanic Flows
• Property-Preserving Numerical Methods
• +3 more

Hennes Alexander Hajduk is a Research Fellow at the University of Oslo's Section for Meteorology and Oceanography, part of the Department of Geosciences. He holds a PhD in Applied Mathematics from TU Dortmund University (2022). His work focuses on physical oceanography, numerical methods for fluid dynamics, and the influence of bottom topography on ocean flows. He develops property-preserving numerical schemes for conservation laws and shallow-water equations, with applications in geophysics and computational fluid dynamics. Education: PhD in Applied Mathematics (TU Dortmund University, 2022). Research Interests: Physical Oceanography: Investigating jet formation in stratified fluids and topographic effects on oceanic flows. Numerical Methods: Specializing in algebraic flux correction schemes, discontinuous Galerkin methods, and entropy-stable algorithms. Geophysical Modeling: Developing tools like FESTUNG for DG-based simulations in MATLAB/Octave. His publications emphasize stability, accuracy, and computational efficiency in simulating complex fluid systems. He collaborates on projects such as The Rough Ocean Research Group, advancing understanding of fluid dynamics in geophysical contexts. Affiliations: Section for Meteorology and Oceanography, University of Oslo Rough Ocean Research Group

• Statistics
• Data Science
• Bayesian Analysis
• +3 more

Gudmund Horn Hermansen is an Associate Professor at the University of Oslo, affiliated with the Department of Mathematics within the Faculty of Mathematics and Natural Sciences. His research focuses on advanced statistical methodologies, including Bayesian analysis, time series modeling, and applications in fields such as conflict dynamics, neuroscience, and environmental science. He is a member of the Statistics and Data Science research group and collaborates with interdisciplinary teams on projects involving uncertainty quantification and statistical inference. Key research interests include change-point analysis, hidden Markov models, astrocytic calcium signaling in Alzheimer’s research, and probabilistic forecasting. His work bridges theoretical statistics with practical applications, such as analyzing democratization processes and reservoir parameter interactions. Hermansen has contributed to over 30 peer-reviewed publications, emphasizing methodological innovations and interdisciplinary collaborations. Notable publications include studies on Bayesian hidden Markov models in conflict research, astrocytic signaling mechanisms in sleep regulation, and statistical frameworks for temporal heterogeneity analysis. He maintains an active role in academic service, including editorial contributions and conference participation.

• Dynamics of long-span suspension bridges
• Floating bridges
• Stochastic environmental wind and wave loading
• +7 more

Øyvind Wiig Petersen is an Associate Professor at the Department of Structural Engineering, Norwegian University of Science and Technology (NTNU). His research focuses on bridge dynamics, wind and wave loading, inverse force identification, structural monitoring, and machine learning applications in structural mechanics. He works extensively with long-span suspension bridges and floating bridge systems. Current research areas include vortex-induced vibrations, Kalman filter applications, wind tunnel testing, and finite element model updating. He has published in leading journals like Journal of Wind Engineering, Mechanical Systems and Signal Processing, and Engineering Structures. His work integrates experimental data with computational models for structural condition assessment and load estimation.

Pierre ChymkowitchView profile

Associate Professor

• Transcription
• Chromatin
• Cellular Differentiation
• +5 more

Pierre Chymkowitch is an Associate Professor at the University of Oslo , affiliated with the Section for Biochemistry and Molecular Biology . His research focuses on the transcriptional and epigenetic regulation of cell fate and the dynamics of SUMOylation in chromatin remodeling during adipocyte differentiation . He employs advanced techniques such as ChIP-seq, RNA-seq, and confocal microscopy to study human and murine adipose stem cells, linking these mechanisms to obesity-related diseases like diabetes and cancer. Academic Rank: Associate Professor Institution: University of Oslo Section: Biochemistry and Molecular Biology Email: pierre.chymkowitch@ibv.uio.no Research Interests Transcriptional regulation in cellular differentiation SUMOylation-mediated chromatin dynamics Adipose tissue biology and obesity-related diseases Cell cycle and transcriptional homeostasis Epigenetic mechanisms in carcinogenesis Publication Trends Chymkowitch's recent work (2025) explores SUMOylation inhibition as a therapeutic target for metabolic disorders via TAK-981. Earlier studies (2023-2011) span mitotic chromatin resetting , Cdk1 regulation of transcription , and sumoylation in ribosomal gene expression , with a strong emphasis on interdisciplinary approaches bridging molecular biology and clinical applications. Laboratory & Team He leads the Chymkowitch group at the University of Oslo, collaborating on high-throughput genomic methods and classical biochemistry to unravel SUMOylation networks in developmental and disease contexts.

Wojciech J. MilochView profile

Professor

• Plasma Physics
• Space Physics
• Numerical Methods
• +5 more

Wojciech J. Miloch is a Professor at the Department of Physics, University of Oslo, affiliated with the Faculty of Mathematics and Natural Sciences. His research focuses on plasma physics, space physics, and numerical methods, with expertise in plasma simulations and ionospheric studies. He holds a PhD in Astrophysics from the University of Oslo (2009) and an MSc in Physics (2006), alongside a Magister in Slavic Studies from the University of Gdańsk (2005). **Education:** PhD in Astrophysics, University of Oslo (2009) MSc in Physics, University of Oslo (2006) MA in Slavic Studies (Magister of Philology), University of Gdańsk (2005) **Research Interests:** Plasma simulations (e.g., particle-in-cell method), plasma-solid interactions, spacecraft charging, complex plasma, and space weather effects. He collaborates with institutions such as Kobe University (Japan), University of Sydney (Australia), and the Max Planck Institute for Extraterrestrial Physics (Germany). **Projects and Grants:** Leads initiatives like the Troll Observing Network (TONe) in Antarctica, contributes to ESA’s Swarm mission (IPIR data product), and investigates ionospheric irregularities via the Swarm satellites. Active in strategic research initiatives like 4DSpace and Grand Challenge (Cusp). **Labs/Teams:** Member of the Plasma and Space Physics research group at UiO, involved in international collaborations to study ionospheric dynamics and space weather phenomena.

• Medical Ultrasound Imaging
• Cardiac Imaging
• Blood Flow Dynamics
• +3 more

Lasse Løvstakken is a Professor at the Department of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU). His research focuses on medical ultrasound imaging, particularly in developing advanced techniques for blood flow analysis and cardiac imaging. Key projects include 3D ultrasound imaging of blood flow in pediatric and adult hearts, leveraging artificial intelligence and deep learning for automated measurements and diagnostic improvements. His work emphasizes the integration of AI into echocardiography, such as real-time guidance systems and automated strain analysis, to enhance reproducibility and reduce variability. Collaborative efforts span clinical validation of new imaging modalities and interdisciplinary applications, such as seabed classification using deep learning. He leads projects funded by institutions like NTNU and collaborates with international teams on innovations in cardiac mechanics, valve timing, and hemodynamic modeling. Løvstakken’s research also addresses translational challenges, including telemedicine applications of handheld ultrasound devices and automated quantification tools for clinical use. His contributions bridge biomedical engineering and clinical cardiology, aiming to improve diagnostic accuracy and patient care through cutting-edge imaging technologies.

Karina Bakkeløkken HjelmervikView profile

Professor

• Fluid mechanics
• Physical oceanography
• Numerical modelling of water currents and waves
• +5 more

Professor Karina Bakkeløkken Hjelmervik is a Professor in the Department of Maritime Operations , Faculty of Technology, Natural Sciences and Maritime Studies at the University of South-Eastern Norway , Campus Vestfold. Since 2009 she has combined mathematics and oceanography to advance numerical modelling of coastal waters, in particular the Oslofjord system. Education: PhD in Fluid Mechanics, University of Oslo, 2009 – thesis on wave–current interactions in coastal tidal currents. Cand. Scient. in Oceanography, University of Bergen – thesis on cold CO₂ droplets in seawater. Cand. Mag. in Science, University of Bergen. Research interests revolve around fluid mechanics and physical oceanography . She develops and validates high-resolution numerical models that simulate water currents, tides, waves, and dispersion processes. Her work supports operational ocean forecasting, tidal-energy assessment, oil-spill contingency planning, and maritime training simulators. Project leadership spans more than 15 funded initiatives totalling over 30 MNOK. Flagship projects include the FjordOs series (2013–2021) that produced an operational forecast model for the Oslofjord, and collaborative grants on tidal power, clean propulsion, and micro-technology for pathogen detection. Publications and dissemination include 20+ peer-reviewed journal articles since 2012, keynote talks at IEEE OCEANS and JONSMOD, and popular lectures such as Mathematics in the Oslofjord . Student supervision is extensive: she mentors master’s and PhD candidates across mathematics, physics, and maritime programmes, though specific student names are not listed. Contact: karina.hjelmervik@usn.no | +47 31 00 93 25

• Space Physics
• Radar and Radio Remote Sensing
• Ionospheric Physics
• +5 more

Juha-Pekka Vierinen is a Professor of Space Physics in the Department of Physics and Technology at UiT The Arctic University of Norway. His research focuses on experimental space physics with emphasis on radar and radio remote sensing techniques applied to space plasma physics, atmospheric physics, space debris, and planetary science. His research interests include: Development of new techniques for radar and radio remote sensing Space plasma physics and ionospheric studies Atmospheric physics and dynamics in the mesosphere and lower thermosphere Space debris characterization and monitoring Planetary science applications of radio techniques GNSS scintillation studies in polar regions Professor Vierinen's recent publications demonstrate expertise in utilizing advanced radar systems like EISCAT_3D, ionosonde networks, meteor radar networks, and global navigation satellite networks. His work spans from fundamental plasma physics to practical applications in space weather monitoring. A notable recent publication in Nature titled "Space weather mapped by millions of smartphones" highlights innovative approaches to space weather monitoring using distributed sensing technology. His research on interferometric imaging with EISCAT_3D represents cutting-edge developments in ionospheric plasma parameter determination. His scientific contributions include: Development of interferometric imaging techniques for EISCAT_3D radar Studies of ionospheric irregularities and their effects on GNSS signals Analysis of atmospheric responses to solar eclipses Investigation of turbulence in the mesosphere and lower thermosphere Characterization of space debris using radar techniques Professor Vierinen is involved in several research projects including UNICube, QBDebris (A CubeSat formation for space debris characterisation), and CASCADE. He is a member of the Space Physics research group at UiT and collaborates extensively with researchers worldwide.

• Thermoacoustics
• Combustion Dynamics
• Fluid Mechanics
• +2 more

Jonas Moeck is a Professor in the Department of Energy and Process Engineering at the Norwegian University of Science and Technology (NTNU), with his office located at Strømningsteknisk, 109, Gløshaugen. His research centers on the critical intersection of flame dynamics and acoustics in combustion systems, specifically addressing thermoacoustic instabilities in gas turbine engines. Professor Moeck's research interests encompass thermoacoustics, combustion dynamics, fluid mechanics, and energy engineering, with recent emphasis on alternative fuels like hydrogen and ammonia. His work investigates flame stability mechanisms, sound generation in combustion processes, and predictive modeling of instabilities using theoretical, numerical, and experimental approaches. Key focus areas include intrinsic thermoacoustic modes, flame transfer functions, and can-annular combustor dynamics, contributing to safer and more efficient energy conversion systems. His publication record demonstrates consistent high-impact output, with 15+ recent articles in journals like Combustion and Flame and Journal of Fluid Mechanics . Current research trends (2023-2025) reveal deep exploration of ammonia-hydrogen flame stability, reduced-order modeling techniques, and symmetry-breaking phenomena in annular systems, often through international collaborations with institutions in Germany and France. At NTNU, Moeck teaches advanced thermo-fluid dynamics courses including TEP4926 (Master's Thesis), TEP4541 (Specialisation Project), EP8413 (Directed Study), TEP4546 (Specialization Course), EP8000 (Data Analysis), and TEP4160 (Aerodynamics), training next-generation engineers in combustion and fluid dynamics principles.

Fabian RothView profile

Research Professor

• Axon Physiology
• GABAergic Inhibition
• Neuronal Network Activities
• +3 more

Fabian Roth is a Research Professor and Principal Investigator at the University of Oslo, leading studies on synaptic physiology and neuronal network dynamics. Previously, he held a postdoctoral position at the same institution (2016–2021) and completed his PhD in Neurophysiology at the University of Heidelberg (2009–2016). Research Interests : His work focuses on axonal functions in GABAergic interneurons, including mechanisms of fast action potential signaling, regulation of synaptic inhibition, and their roles in neuronal network oscillations and high-frequency brain activity. He investigates how axonal physiology impacts network dynamics and information encoding. Awards : 2021 RCN FRIPRO Researcher Grant (Young Talents) 2016 Scientia Fellows Marie Sklodowska-Curie Postdoctoral Fellowship Grants & Advising : His research is supported by the RCN FRIPRO grant. No formal advisees are listed, but collaborations include partners such as Andreas Draguhn (Heidelberg) and Ethan Goldberg (Philadelphia). Labs & Projects : Active in the study of axonal dysfunctions in Dravet Syndrome, exploring how disruptions in inhibitory signaling contribute to neurological disorders.