Professor Nic Peter Smith
Prior to joining the Faculty of Engineering in August 2013, Nic Smith was Head of Biomedical Engineering at Kings College, London and before that Professor of Computational Physiology at the University Computing Laboratory, University of Oxford. He is a Honorary Consultant at Guys and St Thomas' Hospital London and a Fellow of the Newton Institute University of Cambridge.
Professor Smith leads a computational modelling group which is currently a central contributor to the European based Virtual Physiological Human (VPH) Project. He has authored over 150 peer reviewed journal publications, 300 conference publications and is on the editorial board for the international peer review journals including the Journal of Physiology, Microcirculation, Medical & Biological Engineering & Computing and International journal of Computational Methods in Bioengineering. He is the lead-author on several patent applications filed with the United States and European Patent Offices, which outline intellectual property covering the development of anatomically based physiological models and specific applications.
Research | Current
Professor Smith's research is characterised by the development of integrated multi-scale and multi-physics models, which provide the ability to link biophysically detailed experimental data to integrated function from sub-cellular to the whole organ level. Within the scope of this work, he has developed computational techniques to enable specific model developments that have in turn been applied to provide insight into both basic physiology and clinical contexts. This research is focused on electrophysiology and contraction at the cellular level and the multi-scale translation of these models to simulate blood flow and cardiac electro-mechanics at the tissue level.
Selected publications and creative works (Research Outputs)
- Gattoni, S., Røe ÅT, Aronsen, J. M., Sjaastad, I., Louch, W. E., Smith, N. P., & Niederer, S. A. (2017). Compensatory and decompensatory alterations in cardiomyocyte Ca2+ dynamics in hearts with diastolic dysfunction following aortic banding. The Journal of physiology, 595 (12), 3867-3889. 10.1113/jp273879
- Land, S., Park-Holohan, S.-J., Smith, N. P., Dos Remedios, C. G., Kentish, J. C., & Niederer, S. A. (2017). A model of cardiac contraction based on novel measurements of tension development in human cardiomyocytes. Journal of molecular and cellular cardiology, 106, 68-83. 10.1016/j.yjmcc.2017.03.008
- Rivolo, S., Patterson, T., Asrress, K. N., Marber, M., Redwood, S., Smith, N. P., & Lee, J. (2017). Accurate and Standardized Coronary Wave Intensity Analysis. IEEE Transactions on Biomedical Engineering, 64 (5), 1187-1196. 10.1109/TBME.2016.2593518
- Hadjicharalambous, M., Asner, L., Chabiniok, R., Sammut, E., Wong, J., Peressutti, D., ... Razavi, R. (2017). Non-invasive Model-Based Assessment of Passive Left-Ventricular Myocardial Stiffness in Healthy Subjects and in Patients with Non-ischemic Dilated Cardiomyopathy. Annals of biomedical engineering, 45 (3), 605-618. 10.1007/s10439-016-1721-4
- Donati, F., Myerson, S., Bissell, M. M., Smith, N. P., Neubauer, S., Monaghan, M. J., ... Lamata, P. (2017). Beyond Bernoulli: Improving the Accuracy and Precision of Noninvasive Estimation of Peak Pressure Drops. Circulation. Cardiovascular imaging, 10 (1).10.1161/circimaging.116.005207
- Crozier, A., Blazevic, B., Lamata, P., Plank, G., Ginks, M., Duckett, S., ... Razavi, R. (2016). Analysis of lead placement optimization metrics in cardiac resynchronization therapy with computational modelling. Paper presented at 8th TRM Forum on Computer Simulation and Experimental Assessment of Cardiac Function - Towards Integration of Cardiac Functions, Lugano, SWITZERLAND. 6 December - 8 December 2015. EUROPACE. (pp. 8). 10.1093/europace/euw366
- Hunter, P. J., & Smith, N. P. (2016). The Cardiac Physiome Project. The Journal of Physiology, 594 (23), 6815-6816. 10.1113/JP273415
Other University of Auckland co-authors: Peter Hunter
- Niederer, S. A., & Smith, N. P. (2016). Using physiologically based models for clinical translation: predictive modelling, data interpretation or something in-between?. The Journal of Physiology, 594 (23), 6849-6863. 10.1113/JP272003