I develop accurate, robust and efficient numerical methods and turn them into high-quality software for research and operational use. Since my PhD, my main arena has been flow in porous media. Open source has been my strategy for close to 20 years, with reproducibility and open innovation as the goals. I set research direction, mentor younger researchers and build strong research groups. My current interest is how agentic AI is changing research and software development.
Education
- Master's degree in industrial mathematics, Norwegian Institute of Technology (NTH), 1993
- PhD in industrial and applied mathematics, Norwegian University of Science and Technology (NTNU), 1998
Competence and research areas
- Grids: structured/unstructured
- Discretization: finite volume | consistent & high-resolution schemes | time stepping
- Solvers: linear/nonlinear | domain decomposition | upscaling | multiscale/multigrid | reduced order
- Automatic differentiation | adjoints | optimization | data assimilation | uncertainty quantification
- GPU | agentic AI and simulator coupling
- Applications: reservoir simulation/management | flow diagnostics | CO₂ storage | geothermal/oil/gas | flood/ocean | multiphysics
Linkedin
https://www.linkedin.com/in/kalie/
ResearchGate
https://www.researchgate.net/profile/Knut-Andreas-Lie
ORCID
http://orcid.org/0000-0003-0381-677X
