جست‌وجوی استاد و پژوهشگر

• Theoretical Chemistry
• Quantum Chemistry
• Relativistic Effects
• +۷ مورد دیگر

Professor Kenneth Ruud is a leading expert in theoretical and computational chemistry at UiT The Arctic University of Norway. He serves as Director General of the Norwegian Defence Research Establishment and leads the Hylleraas Centre for Quantum Molecular Sciences. His research focuses on relativistic quantum chemistry, developing advanced ab initio methods for molecular property calculations, and integrating QM/MM and continuum solvent models. Education: PhD from University of Oslo (1998, supervised by Trygve Helgaker) Postdoc: University of San Diego with Peter Taylor (1998-2000) His work spans relativistic effects in molecular properties, vibronic coupling, and X-ray spectroscopy. He contributes to software development through programs like Dalton, Dirac, ReSpect, and OpenRSP. Recent publications highlight applications in spin-vibronic dynamics, heavy metal L/M-edge XAS, and topological materials. Key scientific contributions include relativistic DFT for nuclear spin-rotation constants, polarizable embedding models for vibrational spectra, and quantum dynamics frameworks. Awards recognize his impact through the Dirac Medal (2008) and multiple academy memberships. Elected to Norwegian Academy of Science and Letters Fellow of American Association for the Advancement of Science (AAAS) Foreign member of Finnish Academy of Science and Letters He actively participates in open science initiatives and serves on boards including Norges Forskningsråd and CAROS center for subsea robotics. Current projects involve quantum molecular science in extreme environments and computational protocol development.

• Scientific Computing
• Numerical Analysis
• Applied Mathematics
• +۵ مورد دیگر

Eirik Valseth is an Associate Professor of Scientific Computing at the Norwegian University of Life Sciences (NMBU), Department of Data Science. He holds concurrent roles as a research associate at the Oden Institute, University of Texas at Austin, and an affiliated researcher at Simula Research Laboratory (Department of Numerical Analysis and Scientific Computing). His expertise lies in advanced finite element methods for PDEs with applications in flood modeling and hydropower systems. Current Affiliation: NMBU (Norwegian University of Life Sciences) Secondary Affiliations: Oden Institute (UT Austin), Simula Research Laboratory Research interests span numerical methods for challenging PDE systems, including: Stabilized finite element formulations Hurricane storm surge and riverine flood modeling Hydropower infrastructure analysis Computational mechanics and applied mathematics His recent publications (2024–2025) emphasize flood risk assessment (compound flooding, dam breaks, dredging impacts), advanced numerical methods (isogeometric analysis, stochastic finite elements, graph-grammar algorithms), and environmental applications (pollution transport, pathogen distribution, mosquito population dynamics after hurricanes). Key trends include cross-disciplinary integration of physics-aware machine learning and robust hydrodynamic simulation tools. Valseth's work extends to software development (e.g., WAVEx for spectral wave models, SWEMniCS for coastal circulation) and large-scale modeling frameworks like the ADCIRC unstructured mesh model for US coasts. Collaborative projects involve institutions such as University of Texas at Austin, Simula, and NOAA.

• Numerical Solution of Partial Differential Equations
• Spectral Element Methods
• Reduced Basis Methods
• +۳ مورد دیگر

Einar Malvin Rønquist is a Professor and Head of the Department of Mathematical Sciences at NTNU since August 2013. He holds a MSc from NTNU (1980) and a PhD from MIT (1988). His research focuses on numerical solutions of partial differential equations, spectral element methods, reduced basis methods, and computational fluid dynamics. He has been a leader in several research initiatives, including the Computational Science and Visualization program at NTNU (2003–2011). Rønquist is a member of prestigious academies: NTVA (since 2005) and DNKVS (since 2010). He has supervised 8 PhD students and 25 MSc students. His work spans computational science, with notable contributions to parametric modeling, parallel computing, and fluid dynamics simulation. His administrative roles include Vice President of R&D at Nektonics, Inc. (1991–1999) and Deputy Head of NTNU’s Department of Mathematical Sciences (Fall 2012). His publications highlight advancements in numerical methods for PDEs, including spectral element techniques, reduced basis approaches, and high-order approximations for complex geometries.

• Dynamics of long-span suspension bridges
• Floating bridges
• Stochastic environmental wind and wave loading
• +۷ مورد دیگر

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.

• Scientific Computing
• Applied mathematics
• Numerical methods
• +۲ مورد دیگر

Marie E. Rognes is a Chief Research Scientist at Simula Research Laboratory's Numerical Analysis and Scientific Computing department. She specializes in computational mathematics and biomedical modeling, particularly focusing on cerebral fluid dynamics, electrodiffusion, and poroelasticity. Her work bridges advanced numerical methods with clinical applications in neuroscience. Research Pillars: Brain waterscape modeling, finite element methods, and biophysical simulations Software Leadership: Key contributor to FEniCS and Dolfin-adjoint projects Application Domains: Neurodegenerative diseases, cardiac electrophysiology, and personalized medicine Recent publications reveal methodological innovations in perivascular flow modeling , ionic transport simulations , and multi-scale brain mechanics . Her work on glymphatic system dynamics and cardiac tissue modeling demonstrates cross-disciplinary impact. While no explicit awards are listed, her extensive publication record in top-tier computational journals (SIAM, PLOS, Nature Computational Science) and invited talks at premier conferences (SIAM, ECCOMAS, FEniCS workshops) establish her as a leading figure in biomedical computing.

• Dynamic analysis of marine structures
• Marine operations and installations
• Design and analysis of aquaculture structures
• +۲ مورد دیگر

Dr. Lin Li is an Associate Professor in Marine/Ocean Technology at the Faculty of Science and Technology , University of Stavanger . With a PhD from NTNU and degrees from Shanghai Jiao Tong University , she leads research in marine structural dynamics, aquaculture-hydrodynamics, and offshore wind integration. PhD Marine Technology (NTNU) MSc Design and Construction of Ships/Ocean Structures (Shanghai Jiao Tong University) BSc Naval Architecture and Ocean Engineering (Shanghai Jiao Tong University) Her research focuses on: Dynamic analysis of marine structures Design of aquaculture systems Hydrodynamic modeling for offshore wind Statistical wave analysis Recent publications highlight advancements in: Hybrid offshore fish cage-wind turbine systems Metocean condition modeling Subsea spool deployment methods Extreme response prediction techniques She actively contributes to international marine technology conferences and applies open-source tools for hydrodynamic validation.

• Theoretical Chemistry
• Computational Chemistry
• Quantum Chemistry
• +۷ مورد دیگر

Lukas Konecny is a Postdoctoral Fellow in Theoretical and Computational Chemistry at the Hylleraas Center for Quantum Molecular Sciences, Department of Chemistry, UiT The Arctic University of Norway. His research focuses on developing advanced computational methods in quantum chemistry, particularly for studying relativistic effects in molecular systems and spectroscopic phenomena. Dr. Konecny's research interests span several cutting-edge areas of theoretical chemistry: Relativistic quantum chemistry methods for heavy elements Time-dependent density functional theory (TDDFT) for spectroscopy Quantum electrodynamical effects in molecular systems X-ray absorption spectroscopy near L- and M-edges Chiroptical spectroscopy and electronic circular dichroism Real-time propagation methods for electronic structure calculations His recent publications demonstrate a strong focus on bridging the gap between computational efficiency and accuracy in relativistic quantum chemistry. Konecny has made significant contributions to the development of two-component methods (particularly X2C Hamiltonians) that capture relativistic effects with near four-component accuracy but at substantially lower computational cost. His work has important applications in X-ray spectroscopy, attosecond physics, and the emerging field of polaritonic chemistry where molecular systems interact strongly with confined light fields. Dr. Konecny is an active contributor to the ReSpect program package, an open-source software for relativistic electronic structure calculations. His methodological developments have enabled more accurate simulations of spectroscopic properties for molecules containing heavy elements, which has implications for materials science, catalysis, and understanding fundamental quantum phenomena.

Håvard Arnestadمشاهده پروفایل

پژوهشگر ارشد

• Acoustics
• Signal Processing
• Numerical Simulations
• +۳ مورد دیگر

Håvard Arnestad is a Research Fellow at the University of Oslo's Department of Informatics, affiliated with the Faculty of Mathematics and Natural Sciences. He is part of the Digital Signal Processing and Image Analysis (DSB) research group and serves as a Group Teacher and Lecturer for the course 'Ultrasound imaging' (IN3015/IN4015). He organizes a bi-weekly journal club focusing on acoustic imaging advancements in sonar and medical ultrasound. Education: Håvard holds a Master's in Engineering Physics from NTNU (Trondheim), specializing in acoustics. His work experience includes roles at NEO (spectroscopy), CERN (superconducting magnet testing), and Cisco (acoustics/audio engineering). Research interests span three core areas: classical/adaptive beamforming, interval arithmetic for beampattern analysis, and subsonic radiation from leaky Lamb waves. His work challenges conventional acoustics assumptions and explores applications in medical ultrasound and sonar systems. Key collaborators include Ole Marius Rindal, Andreas Austeng, Sven Peter Näsholm, and Gabor Gereb. Upcoming conferences include the 2025 Scandinavian Symposium on Physical Acoustics (Geilo), Northern Lights Deep Learning Conference (Tromsø), and the Acoustical Society of America meeting (New Orleans). Past engagements include international symposiums in Germany, Canada, Italy, and the UK. His advising includes MSc students Helene Wold (now at Sonitor) and Chaoran Han (now a PhD candidate). He maintains active profiles on Google Scholar, ResearchGate, ORCID, and LinkedIn, contributing to interdisciplinary research at the intersection of acoustics, signal processing, and numerical simulations.

• Structural Health Monitoring
• Concrete Bridges
• Bridge Dynamics
• +۵ مورد دیگر

Daniel Cantero is an Associate Professor in the Department of Structural Engineering at the Norwegian University of Science and Technology (NTNU). He leads research initiatives in structural health monitoring, bridge dynamics, and vehicle-infrastructure interaction, with significant contributions to concrete bridge analysis and railway infrastructure diagnostics. His work bridges computational modeling with practical engineering solutions. PhD in Bridge Dynamics (University College Dublin, 2010) Postdoctoral Fellowships at Plaxis BV, Trinity College Dublin, and Royal Institute of Technology (KTH) His research focuses on structural health monitoring, bridge dynamics under moving loads, and signal processing for infrastructure diagnostics. Recent work explores federated learning for population-based monitoring, 3D vehicle modeling, and corrosion effects in post-tensioned bridges. Current publications highlight advancements in: Railway bridge condition monitoring using train responses Machine learning for damage assessment Wavelet analysis in soil-structure interaction Finite element tools for vehicle-bridge interaction Probabilistic models for structural diagnostics As course coordinator for TKT4220 - Concrete Structures 2 and instructor in multiple structural engineering courses, he mentors PhD students like Muhammad Zohaib Sarwar. He contributes to NTNU's Concrete Group and participates in international Marie-Curie projects.

Fabian Barrasمشاهده پروفایل

پژوهشگر ارشد

• Earthquake Dynamics
• Fault Mechanics
• Computational Geophysics
• +۴ مورد دیگر

Fabian Barras is a Research Fellow at the NJORD Centre for Studies of the Physics of the Earth within the Department of Geosciences, Faculty of Mathematics and Natural Sciences, University of Oslo. His research focuses on the fundamental physics of earthquake dynamics and fault mechanics through computational modeling and theoretical analysis. His primary research interests span Earthquake Dynamics , Fault Mechanics , and Computational Geophysics , with specific expertise in frictional rupture propagation, slip pulses, and the transition from laboratory to natural earthquake scales. Barras develops and utilizes advanced numerical tools including the Akantu finite-element library and cRacklet boundary integral method for simulating dynamic fracture processes. Analysis of his 15 most recent publications reveals a strong emphasis on minimal modeling approaches to understand fundamental rupture phenomena, with particular focus on shear localization, stress drops, and the crack-like behavior of frictional ruptures. His work bridges theoretical physics with geophysical applications, frequently appearing in high-impact journals including Nature Communications, Physical Review journals, and Journal of Geophysical Research. Barras actively collaborates with leading researchers across international institutions including École Normale Supérieure (Paris), Hebrew University of Jerusalem, and ETH Zurich. His work is associated with major research initiatives including the ERC BREAK project, MODIFLOW, and UNLOC. His technical contributions include significant software development for high-performance computational geophysics, particularly through the open-source Akantu and cRacklet libraries that enable advanced simulation of contact mechanics and dynamic fracture phenomena at multiple scales.

• Economic Inequality
• Public Economics
• Social Policy
• +۳ مورد دیگر

Morten Nyborg Støstad is a Research Fellow and Post-doctoral Scholar at the FAIR Institute of the Norwegian School of Economics (NHH) since 2023. Previously, he served as a Lecturer at UC Berkeley (Spring 2024) and earned his PhD in Economics from the Paris School of Economics in 2023. He is also a Fellow at the World Inequality Database. His work bridges economics and astrophysics, with early contributions to studies of stellar dynamics near Sagittarius A*. Education: PhD in Economics, Paris School of Economics (2023) Prior studies in Astrophysics, focusing on young stellar clusters and galactic centers Research Interests: His primary focus is the societal impacts of economic inequality, particularly framing inequality as an externality affecting tax policy, social welfare, and political outcomes. His economics work employs both theoretical and empirical methods. Earlier astrophysics research explored young stars orbiting Sagittarius A*, addressing the 'Paradox of Youth' and measuring stellar cluster edges through spectral analysis. Key Achievements: Co-authored papers in Astrophysical Journal on Galactic center stellar dynamics (2015) Developed Item Response Theory models for adaptive testing in astronomy education Grants & Collaboration: His current work includes global experiments on redistributive preferences and fairness beliefs, with collaborators like Alexander Cappelen and Bertil Tungodden. Research spans 40+ countries, analyzing tax policies, inequality perceptions, and political behavior. Labs & Affiliations: Primary affiliation: FAIR Institute (NHH). Active in global inequality research networks and experimental economics collaborations.

• Fluid Mechanics
• Thermodynamics
• Phase Change
• +۷ مورد دیگر

Vitor Heitor Cardoso Cunha is a Postdoctoral Fellow in the Department of Chemistry at the Norwegian University of Science and Technology (NTNU), working with PoreLab research center. Originally from Rio de Janeiro, Brazil, he integrates computational chemistry and physics to study interfacial phenomena across multiple scales, with particular focus on liquid-vapor phase transitions in sub-micron systems. His research expertise spans several interconnected domains: Fluid Mechanics and Thermodynamics of phase transitions Computational Chemistry and Physics methodologies Scientific Machine Learning applications in fluid dynamics Density Functional Theory and Molecular Dynamics simulations Interfacial phenomena in solid-liquid-gas systems Dr. Cardoso Cunha employs phase field methods to capture diffuse interfaces between liquid and vapor phases, which is essential for investigating evaporation and condensation in droplets and ultrathin films. He also utilizes density gradient theory to characterize temporal evolution of surface processes. A significant innovation in his recent work involves neural operators that can learn interface evolution from thermodynamic principles while offering computational efficiency through super-resolution capabilities. His publication record demonstrates expertise in modeling droplet dynamics across multiple contexts, with recent works examining curvature effects on mass flux, phase change effects on droplet motion, and numerical methods for simulating suspended droplet evaporation. These contributions combine classical modeling approaches with emerging machine learning techniques to advance understanding of complex interfacial phenomena. His scientific contributions include: Development of phase field methods for evaporating droplet analysis Investigation of wettability gradient effects on droplet motion Creation of space-time numerical methods for droplet evaporation Exploration of neural operators for fluid mechanics applications Dr. Cardoso Cunha maintains an active computational research profile with multiple GitHub repositories focusing on porous media flow, mesh generation, and thin liquid sheet dynamics. His interdisciplinary approach bridges traditional computational fluid dynamics with modern machine learning techniques to address fundamental challenges in interfacial science.

Hoa Nguyenمشاهده پروفایل

پژوهشگر

• Finite Element Methods (FEM)
• Isogeometric Analysis (IGA)
• Rod, Beam, and Shell Models
• +۳ مورد دیگر

Hoa Nguyen is a Postdoctoral Researcher at the Bergen Offshore Wind Center (BOW), University of Bergen, Norway. She holds a Ph.D. in Computational Mechanics from TU Darmstadt (2023) and M.Sc./B.Sc. degrees in Civil Engineering from TU Munich and the University of Applied Science for Engineering and Economics Berlin. Her research focuses on advanced numerical methods such as isogeometric analysis (IGA), finite element methods (FEM), and data-driven approaches applied to offshore wind turbine dynamics, thin-walled structures, and explicit dynamics simulations. Education: Ph.D. (Dr.-Ing.), TU Darmstadt (2023), Thesis: Higher-order accurate and locking-free explicit dynamics in isogeometric structural analysis M.Sc., TU Munich (2020), Thesis: Efficient Hybrid Time-Frequency-Domain Method for Nonlinear Soil-Structure-Interaction Systems B.Sc., University of Applied Science Berlin (2016) Research Interests: Dr. Nguyen specializes in developing high-order accurate numerical methods for structural mechanics, including isogeometric analysis of rods, beams, and shells. Her work addresses challenges like membrane locking, explicit dynamics mass lumping, and data-driven aerohydroelastic simulations for offshore wind turbines. She also explores advanced interface models for thin layers using complex variable-based asymptotic analysis. Key Contributions: Her recent work includes robust formulations for nonlinear shear- and torsion-free rods, spectral analysis for locking phenomena, and improved mass lumping techniques in IGA. These methods enhance efficiency and accuracy in simulations of offshore wind turbine mooring lines and thin-walled structures. Awards: Best Dissertation Award (Department of Civil and Environmental Engineering, TU Darmstadt, 2024) Outstanding Master Thesis Award (Stiftung Maurer Soehne Munich, 2020) Hans-Rudolf-Foundation Scholarship (2018-2019) Grants & Projects: She leads the DATA-DRIVEN OFFSHORE project, focusing on data-driven approaches for aerohydroelastic analysis of offshore wind turbines. Her work integrates advanced numerical methods with practical engineering challenges in renewable energy systems.

• Geometric Integration
• Structure-Preserving Algorithms
• Lie Group Integrators
• +۷ مورد دیگر

Hans Z. Munthe-Kaas is a Professor of Mathematics at the University of Bergen , Norway. His academic roles include Chair of the Abel Prize Committee , Editor-in-Chief of Foundations of Computational Mathematics , and President of the Norwegian Mathematical Society . As Project Leader for the Lie-Størmer Center and the RCN-Fripro CODYSMA project, he bridges pure and applied mathematics with computational science. Department of Mathematics, University of Bergen Editor-in-Chief, Foundations of Computational Mathematics Chair, Abel Prize Committee President, Norwegian Mathematical Society His research spans geometric integration , post-Lie algebras , and Lie-Butcher series , with applications in numerical analysis , stochastic differential equations , and combinatorial Hopf algebras . Recent publications focus on equivariant methods , symmetric spaces , and aromatic B-series . Earlier work includes parallel algorithms and coordinate-free numerics , leading to the development of the DiffMan MATLAB toolbox for manifold differential equations. Scientific contributions emphasize algebraic structures in numerical methods, with connections to renormalization , non-commutative symmetric functions , and spectral element methods using multivariate Chebyshev polynomials . Awards include the Esso prize (1999) . He teaches courses like Mat101 (Precalculus) and mentors students in advanced mathematical computation.

Mikael Mortensenمشاهده پروفایل

استاد

• Computational Fluid Dynamics (CFD)
• Turbulent Flows
• Spectral Methods
• +۶ مورد دیگر

Mikael Mortensen is a Professor in Fluid Mechanics at the University of Oslo 's Department of Mathematics. His research spans Computational Fluid Dynamics (CFD), turbulent flow modeling, spectral numerical methods, and applications in biomedical flows, turbulent combustion, and space physics. He contributes to the 4DSpace strategic research initiative studying ionospheric instabilities. Primary Affiliation: Department of Mathematics, University of Oslo Collaborations: Center for Biomedical Computing (Simula), KAUST, Chinese Academy of Sciences Research Themes High-performance spectral Galerkin methods ( Shenfun ) Direct Numerical Simulation of turbulence ( spectralDNS ) Space plasma physics and ionospheric turbulence Multiphase flow modeling in industrial contexts Machine learning applications in fluid dynamics Publication Trends Mortensen's recent work focuses on spectral methods for turbulence modeling, plasma instability simulations, and machine learning applications in fluid dynamics. His articles demonstrate expertise in Python-based high-performance computing frameworks for CFD and interdisciplinary applications in space physics and biomedical engineering. Supervision PhD Students: Anna Piterskaya (2019-2025), Tormod Landet (2016-2019), Christopher Friedemann (2018-2020) Master Students: Jacob H. Hudtwalcker, Jacob T.S. Langmoen, Kei Yamamoto, Sverre Vinje Collaborative Initiatives Co-founder of the Kobe-Oslo Partnership (10 MNOK funding from Norwegian Research Council) Organized 15+ international workshops on plasma simulations Active in Python-based scientific computing education