Summary
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
Racy M, Barrow A, Tomlinson J, et al., 2020, Development and Validation of a Virtual Reality Haptic Femoral Nailing Simulator., J Surg Educ
Granados A, Cox S, Low-Beer N, et al., 2020, Taking the pressure off the patient - understanding digital rectal examinations on a real subject, Ieee Transactions on Biomedical Engineering, Vol:67, ISSN:0018-9294, Pages:2798-2805
Kebria PM, Khosravi A, Nahavandi S, et al., 2020, Adaptive Type-2 Fuzzy Neural-Network Control for Teleoperation Systems with Delay and Uncertainties, Ieee Transactions on Fuzzy Systems, Vol:28, ISSN:1063-6706, Pages:2543-2554
Przedlacka A, Cox S, Tekkis P, et al., 2020, Rectal 3D MRI modelling for benign and malignant disease, British Journal of Surgery, Vol:107, ISSN:0007-1323, Pages:e561-e562
Al Asmri MA, Ennis J, Stone RJ, et al., 2020, Effectiveness of technology-enhanced simulation in teaching digital rectal examination: a systematic review narrative synthesis, Bmj Simulation & Technology Enhanced Learning, ISSN:2056-6697