Research Activities

Swedish Research Council (Vetenskapsrådet), VR Project Grant 2022-03032

Multi-scale modelling of pathophysiological flows using Physics Informed Neural Networks

Period: Jan 2023 - Dec 2025

Role: Principal Investigator

Scope: This research project aims at modelling the multi-scale nature of pathophysiological flows in human circulation using machine learning methods. The pathophysiology of cardiovascular and respiratory conditions shows in several cases different length-scales of description, both from a temporal and spatial point of view. This represents a critical issue for modelling and numerical simulations and hinders the possibility to pursue more complex and patient-specific analyses. The innovative method proposed in this research project is based on the use of Physics Informed Neural Networks (PINNs). Their efficiency in multi-scale analyses has been recently tested with outstanding results. Surrogate models based on PINNs shows an improvement in the efficiency in benchmark tests of several orders of magnitude (seconds w.r.t. hours).

Partners: Karolinska Institutet, Brown University.

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KTH Department of Engineering Mechanics, Thematic Postdocs

Non-intrusive assessment techniques for respiratory and voice disorders

Period: Sep 2021 - Current

Role: Researcher

Scope: The purpose of this project is to create a hybrid data- and model-driven method for the nonintrusive
assessment of obstructive airway disorders and voice. With this type of modeling, doctors will be able to simulate and analyze treatment options a-priori, with unprecedented accuracy. This versatile methodology can be applied in areas of use and research such as diagnostics and treatment of respiratory disorders, as well as speech and voice disorders.