Fernando Bello

Professor Fernando Bello is a computer scientist and engineer working at the intersection of medicine, education and technology. He obtained his PhD in Biomedical Systems from Imperial College in 1996 and worked as a postdoctoral Research Fellow on brain image analysis and Computer Aided Surgery from 1996-1998 at Guy's Hospital, and at the University of Kent, where in 1998 he became a Lecturer in Electronic Engineering.

He re-joined Imperial in September 2000 and is currently Professor of Surgical Computing and Simulation Science within the Department of Surgery and Cancer, where he is Director of the Centre for Engagement and Simulation Science, leading the SiMMS - Simulation and Modelling in Medicine and Surgery research group. A multi-disciplinary research group aiming at building suitable models and simulations of clinical processes, including clinical examination, clinical diagnosis, interventional procedures and care pathways.

Prof Bello is particularly interested in the use of virtual / mixed reality environments and haptics in the context of education and training, pioneering advanced patient specific simulation of a number of surgical procedures and clinical examinations, online and mobile simulation tools, as well as innovative approaches to contextualised simulation. He has published widely in technological, medical and educational journals, is involved in several simulation-based training programmes in the UK and abroad and is Academic Co-director of Imperial’s MSc in Surgical Innovation.

Publications

Journals

• Jenkinson G, Houghton N, van Zalk N, et al., 2023, Acceptability of automated robotic clinical breast examination: survey study, Journal of Participatory Medicine, Vol:15, ISSN:2152-7202, Pages:1-16
• Lee JWY, Bello F, 2023, Readiness of Health Care Professionals in Singapore to Teach Online and Their Technology-Related Teaching Needs: Quantitative Cross-sectional Pilot Study., Jmir Med Educ, Vol:9, ISSN:2369-3762
• Chua PSB, Lee CZ, Teng DRK, et al., 2022, Affordable and accessible 3D printed models of the liver to support medical education, Materials Today: Proceedings, Vol:70, ISSN:2214-7853, Pages:258-264
• Lee JWY, Bello F, 2022, Readiness of Health Care Professionals in Singapore to Teach Online and Their Technology-Related Teaching Needs: Quantitative Cross-sectional Pilot Study (Preprint)
• Chappell D, Yang Z, Son HW, et al., 2022, Towards instant calibration in myoelectric prosthetic hands: a highly data-efficient controller based on the Wasserstein distance, International Conference on Rehabilitation Robotics (ICORR), IEEE

Affiliations

• Artificial Intelligence Network
• Centre for Engagement and Simulation Science
• Robotics Forum
• Robotics Forum Committee
• Simulation and Modelling in Medicine and Surgery

Links

• College Directory
• Search College Directory
• Faculty of Medicine
• Department of Surgery & Cancer
• Expert Directory