Mikael Mortensen

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