Imperial College London


Faculty of MedicineNational Heart & Lung Institute

Visiting Professor



m.zolgharni Website




ICTEM buildingHammersmith Campus





Visiting Professor at the Faculty of Medicine, National Heart & Lung Institute, Massoud is also a Professor of Computer Vision at the School of Computing and Engineering, University of West London.

He is a Fellow of the Higher Education Academy. Massoud received his BSc degree in Mechanical Engineering from Amirkabir University of Technology, and completed his Master’s and PhD studies at Brunel and Swansea Universities, UK.

His research interests lie in the area of computer vision, in general, and medical imaging, in particular. In recent years, he has focused on developing automated techniques for low-cost and non-invasive cardiac imaging applications.



Girotto CD, Piadeh F, Bkhtiari V, et al., 2024, A critical review of digital technology innovations for early warning of water-related disease outbreaks associated with climatic hazards, International Journal of Disaster Risk Reduction, Vol:100, ISSN:2212-4209

Labs RB, Vrettos A, Loo J, et al., 2023, Automated assessment of transthoracic echocardiogram image quality using deep neural networks, Intelligent Medicine, Vol:3, ISSN:2667-1026, Pages:191-199

Lane ES, Jevsikov J, Shun-shin MJ, et al., 2023, Automated multi-beat tissue Doppler echocardiography analysis using deep neural networks, Medical & Biological Engineering & Computing, ISSN:0140-0118


Alajrami E, Naidoo P, Jevsikov J, et al., 2023, Deep Active Learning for Left Ventricle Segmentation in Echocardiography, Pages:283-291, ISSN:0302-9743

Jevsikov J, Lane ES, Alajrami E, et al., 2023, Automated Analysis of Mitral Inflow Doppler Using Deep Neural Networks, Pages:394-402, ISSN:0302-9743

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