معرفی
Dr Arian Beqiri is a Research Fellow at King's College London, specialising in MRI physics and AI-driven cardiac imaging. Holding a PhD in MRI Physics from the same institution, he bridges electromagnetic safety in ultra-high-field MRI with modern deep-learning solutions for echocardiographic analysis.
Education
- PhD in MRI Physics, King's College London (2015)
- MSci in Physics, King's College London (2011)
Research Interests
His work centres on two synergistic pillars:
- Ultra-high-field MRI engineering: RF shimming, SAR optimisation, and direct signal control at 7 T.
- AI in cardiac imaging: automated view detection, 3D reconstruction from 2D echo, and robustness of deep-learning models in clinical CT and ultrasound.
Across both domains he emphasises safety, computational efficiency, and translational impact.
Publication Trends
Since 2015 Beqiri has published steadily, pivoting from technical MRI sequence design toward machine-learning applications in echocardiography. His 2024 preprint on black-box CT robustness and 2023 ultrasound foreshortening paper highlight a growing focus on clinical-grade AI validation.
Collaborations & Supervision
He has one formally supervised student on record and collaborates extensively with cross-disciplinary teams spanning engineering, cardiology, and radiology departments in the UK and abroad.
Labs & Teams
Work is conducted within the Biomedical Engineering & Imaging Sciences division at King’s, leveraging 7 T MRI platforms and high-performance GPU clusters for deep-learning experiments.
