Dr Ali Sarrami-Foroushani
- Position: Research Fellow
- Areas of expertise: Cardiovascular Biomechanics; Biofluids; Biotransport; Thrombosis; Medical Device; In-silico Clinical Trials; Computational Fluid Dynamics; Finite Element Methods; Uncertainty Quantification
- Email: A.Sarrami@leeds.ac.uk
- Location: 8.49 Worsley Building
- Website: Googlescholar
Ali received his PhD in Electronic and Electrical Engineering from The University of Sheffield in 2019. He has joined University of Leeds in August 2018 and is now working at Centre for Computational Imaging and Simulation Technologies in Biomedicine (CISTIB), School of Computing and Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM), School of Medicine. He is now co-supervising two PhD students at the Leeds Institue of Fluid Dynamics. Before joining University of Leeds, Ali has worked at the University of Sheffield (CISTIB) and has been involved in several European projects (FP7/H2020).
Ali’s research interests are in the field of computational mechanics with applications in cardiovascular biomechanics, biotransport, medical devices, and in-silico clinical trials. In the past, he has also worked on 4D flow magnetic resonance (MR) quantification, uncertainty quantification, and combining computational mechanistic modelling with machine learning (ML) techniques to accelerate mechanistic models of vascular blood flow.
- PhD in Electronic and Electrical Engineering
- MSc in Chemical Engineering
- MSc in Computational Mechanics (Exchanged)
- BSc in Chemical Engineering
- EPSRC UK Image-Guided Therapies Network+
Research groups and institutes
- Computational Medicine
- Artificial Intelligence