Fluid Mechanics
The Fluid Mechanics research group deals with topics that address prevalent geophysical, environmental, climatic, and industrial challenges.
About the research group
The group has its roots in the growing interest in marine and atmospheric physics at the University during the 1970s and 1980s. It was one of the first research groups established at the Department of Mathematics. Although fluid mechanics has been a core research area since the department’s inception, the group has undergone a complete renewal over the past 15 years. All current members joined after 2005, making it one of the youngest and most dynamic groups in the department.
We are working with such topics as nearshore wave forecast, wave-current interraction, computational methods for compressible flow, offshore monitoring, etc.
Our collaborations
We collaborate with (external link)
- SFI CRIMAC (external link) at Institute of Marine Research (external link), on developing machine learning methods for fisheries acoustics.
- Oxford University, MIT, NASA, the National Oceanography Centre, INRIA, Columbia and Tokyo University.
- NORCE, the Nansen Environmental and Remote Sensing Center, NIVA, NTNU, SINTEF, The Norwegian Meteorological Institute, and the Norwegian Computing Center.
Featured
Projects
Current projects
Mathematics for Sustainable Development (MATH4SDG)
This project is funded by the NORHED II program for the period 2021-2026, and is a collaboration between the Departments of Mathematics, Mathematics Education at the University of Dar Es Salaam, Makerere University and the University of Bergen. The overall aim is to increase the mathematical literacy in Tanzania and Uganda.
Previous projects
ACT on Offshore Monitoring (ACTOM)
2019 - 2023, PI: Guttorm Alendal
Project Funder: Accelerating CCS Technologies, The Research Council of Norway, Netherlands Enterprise Agency, Department for Business, Energy & Industrial Strategy, Department of Energy, United States America
The project advanced offshore CO₂ monitoring by developing the Decision Support Toolbox for designing optimal assurance monitoring programs aligned with regulations and societal expectations. An interdisciplinary team integrated detection algorithms, uncertainty assessments, and the Responsible Research and Innovation (RRI) framework to support operators and address legal and sustainability aspects of CO₂ storage.
Bayesian Monitoring Design (BayMoDe)
2016–2020, PI: Guttorm Alendal
Project Funder: CLIMIT & The Research Council of Norway
The project explored Bayesian methods for designing environmental monitoring programs to detect potential CO₂ leakage from offshore storage. It focused on developing and testing approaches that combine ocean modeling, measurement statistics, and modern machine learning.
People
Group manager
Guttorm Alendal Professor of Applied and Computational Mathematics
Group members
Magnus Svärd Professor of Applied and Computational Mathematics
Henrik Kalisch Professor of Applied Mathematics
Yan Li Associate Professor
Anna Oleynik researcher
Guttorm Alendal Group leader, Professor in Applied and Computational Mathematics
Postdocs
Rosa Maria Vargas Magana SEAS postdoctoral research fellow
PhD students
Andreas Bondehagen PhD Candidate
Anders Norevik PhD Candidate
Yago Pego Martinez PhD Candidate
Vasileios Georgopoulos Phd Candidate
Junbo Wang PhD Candidate
Juan Enrique Aguilar Martinez PhD candidate