About
Igor Sazonov is a Senior Lecturer in Engineering at Swansea University.
Dr Igor Sazonov
Honorary Appointment (Science)
Faculty of Science and Engineering
Areas Of Expertise
- Fluid Dynamics
- Blood Flow Simulation
- Mesh Generation
- Geophysics
- Acoustics
Publications
Research Highlights
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Sazonov, I., Khir, A., Hacham, W., Boileau, E., Carson, J., van Loon, R., Ferguson, C., & Nithiarasu, P. (2017). A novel method for non-invasively detecting the severity and location of aortic aneurysms. Biomechanics and Modeling in Mechanobiology, 16(4), 1225-1242.
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Sazonov, I. & Nithiarasu, P. (2019). A novel, FFT-based one-dimensional blood flow solution method for arterial network. Biomechanics and Modeling in Mechanobiology, 18(5), 1311-1334.
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Chakshu, N., Carson, J., Sazonov, I., & Nithiarasu, P. (2019). A semi‐active human digital twin model for detecting severity of carotid stenoses from head vibration—A coupled computational mechanics and computer vision method. International Journal for Numerical Methods in Biomedical Engineering, 35(5), e3180
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Sazonov, I., Grebennikov, D., Kelbert, M., Bocharov, G., & Sazonov, I. (2017). Modelling Stochastic and Deterministic Behaviours in Virus Infection Dynamics. Mathematical Modelling of Natural Phenomena, 12(5), 63-77.
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Sazonov, I., Kelbert, M., & Gravenor, M. (2016). Random migration processes between two stochastic epidemic centers. Mathematical Biosciences, 274, 45-57.
All Research
Journal Articles
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Tamaddon Jahromi, H., Sazonov, I., Jones, J., Coccarelli, A., Rolland, S., Chakshu, N., Thomas, H., & Nithiarasu, P. (2022). Predicting the airborne microbial transmission via human breath particles using a gated recurrent units neural network. International Journal of Numerical Methods for Heat & Fluid Flow, 32(9), 2964-2981.
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Chakshu, N., Carson, J., Sazonov, I., & Nithiarasu, P. (2022). Automating fractional flow reserve (FFR) calculation from CT scans: A rapid workflow using unsupervised learning and computational fluid dynamics. International Journal for Numerical Methods in Biomedical Engineering, 38(3)
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Grebennikov, D., Kholodareva, E., Sazonov, I., Karsonova, A., Meyerhans, A., & Bocharov, G. (2021). Intracellular Life Cycle Kinetics of SARS-CoV-2 Predicted Using Mathematical Modelling. Viruses, 13(9), 1735
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Sazonov, I., Grebennikov, D., Meyerhans, A., & Bocharov, G. (2021). Markov Chain-Based Stochastic Modelling of HIV-1 Life Cycle in a CD4 T Cell. Mathematics, 9(17), 2025
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Tamaddon Jahromi, H., Rolland, S., Jones, J., Coccarelli, A., Sazonov, I., Kershaw, C., Tizaoui, C., Holliman, P., Worsley, D., Thomas, H., & Nithiarasu, P. (2021). Modelling ozone disinfection process for creating COVID-19 secure spaces. International Journal of Numerical Methods for Heat & Fluid Flow, 32(1), 353-363.
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Chakshu, N., Sazonov, I., & Nithiarasu, P. (2021). Towards enabling a cardiovascular digital twin for human systemic circulation using inverse analysis. Biomechanics and Modeling in Mechanobiology, 20(2), 449-465.
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Savinkov, R., Grebennikov, D., Puchkova, D., Chereshnev, V., Sazonov, I., & Bocharov, G. (2020). Graph Theory for Modeling and Analysis of the Human Lymphatic System. Mathematics, 8(12), 2236
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Carson, J., Chakshu, N., Sazonov, I., & Nithiarasu, P. (2020). Artificial intelligence approaches to predict coronary stenosis severity using non-invasive fractional flow reserve. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, 234(11), 1337-1350.
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Tamaddon Jahromi, H., Chakshu, N., Sazonov, I., Evans, L., Thomas, H., & Nithiarasu, P. (2020). Data-driven inverse modelling through neural network (deep learning) and computational heat transfer. Computer Methods in Applied Mechanics and Engineering, 369
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Sazonov, I., Grebennikov, D., Kelbert, M., Meyerhans, A., & Bocharov, G. (2020). Viral Infection Dynamics Model Based on a Markov Process with Time Delay between Cell Infection and Progeny Production. Mathematics, 8(8)
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Shcherbatova, O., Grebennikov, D., Sazonov, I., Meyerhans, A., & Bocharov, G. (2020). Modeling of the HIV-1 Life Cycle in Productively Infected Cells to Predict Novel Therapeutic Targets. Pathogens, 9(4), 255
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Sazonov, I. & Nithiarasu, P. (2019). A novel, FFT-based one-dimensional blood flow solution method for arterial network. Biomechanics and Modeling in Mechanobiology, 18(5), 1311-1334.
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Chakshu, N., Carson, J., Sazonov, I., & Nithiarasu, P. (2019). A semi‐active human digital twin model for detecting severity of carotid stenoses from head vibration—A coupled computational mechanics and computer vision method. International Journal for Numerical Methods in Biomedical Engineering, 35(5), e3180
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Boileau, E., Pant, S., Roobottom, C., Sazonov, I., Deng, J., Xie, X., & Nithiarasu, P. (2018). Estimating the accuracy of a reduced-order model for the calculation of fractional flow reserve (FFR). International Journal for Numerical Methods in Biomedical Engineering, 34(1), e2908
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Sazonov, I., Grebennikov, D., Kelbert, M., Bocharov, G., & Sazonov, I. (2017). Modelling Stochastic and Deterministic Behaviours in Virus Infection Dynamics. Mathematical Modelling of Natural Phenomena, 12(5), 63-77.
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Watson, D., Sazonov, I., Zawieja, D., Moore, J., & van Loon, R. (2017). Integrated geometric and mechanical analysis of an image-based lymphatic valve. Journal of Biomechanics, 64, 172-179.
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Nithiarasu, P. & Sazonov, I. (2017). A novel modelling approach to energy transport in a respiratory system. International Journal for Numerical Methods in Biomedical Engineering, 33(10), e2854
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Sazonov, I., Khir, A., Hacham, W., Boileau, E., Carson, J., van Loon, R., Ferguson, C., & Nithiarasu, P. (2017). A novel method for non-invasively detecting the severity and location of aortic aneurysms. Biomechanics and Modeling in Mechanobiology, 16(4), 1225-1242.
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Savinkov, R., Kislitsyn, A., Watson, D., van Loon, R., Sazonov, I., Novkovic, M., Onder, L., & Bocharov, G. (2017). Data-driven modelling of the FRC network for studying the fluid flow in the conduit system. Engineering Applications of Artificial Intelligence, 62, 341-349.
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Sazonov, I., Xie, X., & Nithiarasu, P. (2016). An improved method of computing geometrical potential force (GPF) employed in the segmentation of 3D and 4D medical images. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 1-10.
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Grebennikov, D., van Loon, R., Novkovic, M., Onder, L., Savinkov, R., Sazonov, I., Tretyakova, R., Watson, D., & Bocharov, G. (2016). Critical Issues in Modelling Lymph Node Physiology. Computation, 5(1), 3
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Sazonov, I., Kelbert, M., & Gravenor, M. (2016). Random migration processes between two stochastic epidemic centers. Mathematical Biosciences, 274, 45-57.
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Yeo, S., Xie, X., Sazonov, I., & Nithiarasu, P. (2014). Segmentation of biomedical images using active contour model with robust image feature and shape prior. International Journal for Numerical Methods in Biomedical Engineering, 30(2), 232-248.
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Boileau, E., Bevan, R., Sazonov, I., Rees, M., Nithiarasu, P., Nithiarasu, P., Sazonov, I., & Rees, M. (2013). Flow-induced ATP release in patient-specific arterial geometries - a comparative study of computational models. International Journal for Numerical Methods in Biomedical Engineering, 29(10), 1038-1056.
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Nithiarasu, P. & Sazonov, I. (2012). Semi-automatic surface and volume mesh generation for subject-specific biomedical geometries. International Journal for Numerical Methods in Biomedical Engineering, 28(1)
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Nithiarasu, P. & Sazonov, I. (2012). Numerical Prediction of Heat Transfer Patterns in a Subject-Specific Human Upper Airway. Journal of Heat Transfer, 134(3)
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Low, K., Loon, R., Sazonov, I., Bevan, R., Nithiarasu, P., Nithiarasu, P., Sazonov, I., & van Loon, R. (2012). An improved baseline model for a human arterial network to study the impact of aneurysms on pressure-flow waveforms. International Journal for Numerical Methods in Biomedical Engineering, 28(12), 1224
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Nithiarasu, P., Bevan, R., Sazonov, I., Van, L., Luckraz, H., Collins, M., Garnham, A., & Sazonov, I. (2011). Influences of domain extensions to a moderately stenosed patient-specific carotid bifurcation: Investigation of wall quantities. International Journal of Numerical Methods for Heat & Fluid Flow, 21(8), 952-979.
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Saksono, P., Nithiarasu, P., Sazonov, I., Yeo, S., Nithiarasu, P., & Sazonov, I. (2011). Computational flow studies in a subject-specific human upper airway using a one-equation turbulence model. Influence of the nasal cavity. International Journal for Numerical Methods in Engineering, 87(1-5), 96-114.
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Sazonov, I., Kelbert, M., Gravenor, M., Kelbert, M., Sazonov, I., & Gravenor, M. (2011). Travelling waves in a network of SIR epidemic nodes with an approximation of weak coupling. Mathematical Medicine and Biology, 28(2), 165-183.
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Sazonov, I., Kelbert, M., & Gravenor, M. (2011). A two-stage model for the SIR outbreak: Accounting for the discrete and stochastic nature of the epidemic at the initial contamination stage. Mathematical Biosciences, 234(2), 108-117.
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Nithiarasu, P. & Sazonov, I. (2011). Patient-specific blood flow simulation through an aneurysmal thoracic aorta with a folded proximal neck. International Journal for Numerical Methods in Biomedical Engineering, 27(8)
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Nithiarasu, P., Sazonov, I., & van Loon, R. (2011). Influences of domain extensions to a moderately stenosed patient-specific carotid bifurcation: Investigation of wall quantities. International Journal of Numerical Methods for Heat & Fluid Flow, 21(8)
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Kelbert, M., Sazonov, I., & Gravenor, M. (2011). Critical reaction time during a disease outbreak. Ecological Complexity, 8(4), 326-335.
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Nithiarasu, P., Sazonov, I., & van Loon, R. (2010). Application of a locally conservative Galerkin (LCG) method for modelling blood flow through a patient-specific carotid bifurcation. International Journal for Numerical Methods in Fluids
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Yeo, S., Xie, X., Sazonov, I., Nithiarasu, P., Nithiarasu, P., & Sazonov, I. (2010). Geometrically Induced Force Interaction for Three-Dimensional Deformable Models. IEEE Transactions on Image Processing, 20(5), 1373-1387.
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Sazonov, I., Kelbert, M., & Gravenor, M. (2008). The Speed of Epidemic Waves in a One-Dimensional Lattice of SIR Models. Mathematical Modelling of Natural Phenomena, 3(4), 28-47.
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Sazonov, I., Kelbert, M., Wright, A., & Sazonov, I. (2007). Improved approximation for the variance of the photon emission process in scintillation counters. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 572(2), 804-807.
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VORONOVICH, V., Sazonov, I., & SHRIRA, V. (2006). On radiating solitons in a model of the internal wave-shear flow resonance. , 273-301.
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BENILOV, E., O'BRIEN, S., SAZONOV, I., & Sazonov, I. (2003). A new type of instability: explosive disturbances in a liquid film inside a rotating horizontal cylinder. , 201-224.
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Sazonov, I. & SHRIRA, V. (2003). Quasi-modes in boundary-layer-type flows. Part 2. Large-time asymptotics of broadband inviscid small-amplitude two-dimensional perturbations. , 245-282.
Book Chapters
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Essa, E., Xie, X., Sazonov, I., Nithiarasu, P., & Smith, D. (2013). Shape Prior Model for Media-Adventitia Border Segmentation in IVUS Using Graph Cut. Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging -123).
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Xie, X., Yeo, S., Mirmehdi, M., Sazonov, I., & Nithiarasu, P. (2013). Image Gradient Based Level Set Methods in 2D and 3D. Deformation Models (pp. 101-120). Springer
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Nithiarasu, P., Sazonov, I., & Yeo, S. (2012). Scan-Based Flow Modelling in Human Upper Airways. Patient-Specific Modeling in Tomorrow's Medicine (pp. 241-280).
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Sazonov, I., Hassan, O., Morgan, K., & Weatherill, N. (2008). Comparison of Two Explicit Time Domain Unstructured Mesh Algorithms for Computational Electromagnetics. Partial Differential Equations (pp. 95Springer
Conference Contributions
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Rolland, S., Tamaddon Jahromi, H., Jones, J., Coccarelli, A., Sazonov, I., Kershaw, C., Tizaoui, C., Holliman, P., Worsley, D., Thomas, H., & Nithiarasu, P. (2012). Modelling Ozone Disinfection to Prevent Covid-19 Transmission. In Mathematics in Industry (pp. 535-541). Springer International Publishing.