Devran Ugurlu

Devran Ugurlu is a researcher at the School of Biomedical Engineering & Imaging Sciences, Faculty of Life Sciences & Medicine, King's College London. His work focuses on cardiac digital twins, machine learning applications in medical imaging, and electrophysiological modeling of heart function. He contributes to the UN Sustainable Development Goals related to health and well-being through computational cardiology research.

• Key Research Areas: Cardiac MRI, Digital Twins, Machine Learning, Electrophysiology

Recent research includes developing large-scale cardiac digital twin populations using machine learning (Nature Cardiovascular Research, 2025) and improving undersampled cine cardiac MRI reconstruction (IEEE Transactions on Biomedical Engineering, 2024). His work intersects biomedical engineering and computational health sciences.

• Collaborations: UK Biobank, international institutions in cardiac imaging