PhD students
- 2023 - Present: Ingvild Devold - Mechanochemical interplay underlying human performance: computational modeling of skeletal muscle signaling and mechanics in response to exercise
- 2023 - Present: Karl Munthe - DynaComp
- 2018 - 2022: Åshild Telle - Modeling cardiac mechanics on a microscale - Mechanical modeling and analysis of cardiomyocytes and cardiac micromuscles
Master Students
- 2023-present: Edvin David Järve - Physics-informed neural networks for cardiac electrophysiology
- 2023-present: Felix Forseth - Physics-informed neural networks for active cardiac mechanics
- 2023-present: Emilie Dørum - Comparison of Classical Approaches to Topology Optimization in Fluid Applications with Machine Learning Based Techniques
- 2022-present: Mansur Dadajev - Deep energy method for heart mechanics
- 2022-2023: Iver Håkonsen - GPU-enabled Laplace-Dirichlet Rule-Based Method for Cardiac Fiber Computations (Co supervise)
- 2021-2022: Bendik Steinsvåg Dalen - Characterization of Cardiac Cellular Dynamics Using Physics-informed Neural Networks
Interns
- Summer 2023 Sofiya Sianiuta - Improving Teaching Materials
- Summer 2023 Mansur Dudajev - Improving Teaching Materials
- 2022-2023 Daniel Haas - Improving Teaching Material in IN1910
- 2022-2023 Alexander Hatle - Improving Teaching Material in IN1910
- Fall 2022 Sina Rokhideh - MPS database
- Summer 2019 Eirik Aung - MPS database
- 2018 - 2019 - Harald Vinje - MPS Database
Simula Summer School
- 2023 - Anthony Asencio, Melania Buonocunto, Matthew Ellis, Karl Munthe, Kyle Stark - The Impact of Mechano-Electric Feedback on Drug- and Stretch-Induced Arrhythmia using a Computational Model of Cardiac Electromechanics
- 2019 - Alex Clark, Claudia Nagel, Daniel Simons - Computational Models of Cardiac Microtissues for Drug Side Effect Assessment
