Dr Igor Sazonov

Senior Lecturer

Aerospace Engineering

+44 (0) 1792 602767

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Academic Office - A_209
Second Floor
Engineering Central
Bay Campus

Research Links

https://orcid.org/0000-0001-6685-2351

About

Igor Sazonov is a Senior Lecturer in Engineering at Swansea University.

Areas Of Expertise

Fluid Dynamics
Blood Flow Simulation
Mesh Generation
Geophysics
Acoustics

Publications

Research Highlights

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.
https://doi.org/10.1007/s10237-017-0884-8, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa31819
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.
https://doi.org/10.1007/s10237-019-01146-0, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49921
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
https://doi.org/10.1002/cnm.3180, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa48157
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.
https://doi.org/10.1051/mmnp/201712505, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa36270
Sazonov, I., Kelbert, M., & Gravenor, M. (2016). Random migration processes between two stochastic epidemic centers. Mathematical Biosciences, 274, 45-57.
https://doi.org/10.1016/j.mbs.2016.01.011, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa26751
http://www.sciencedirect.com/science/article/pii/S0025556416000225

All Research

Journal Articles

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.
https://doi.org/10.1108/hff-07-2021-0498, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58941
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)
https://doi.org/10.1002/cnm.3559, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58926
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
https://doi.org/10.3390/v13091735, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58314
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
https://doi.org/10.3390/math9172025, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58057
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.
https://doi.org/10.1108/hff-12-2020-0797, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56337
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.
https://doi.org/10.1007/s10237-020-01393-6, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55503
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
https://doi.org/10.3390/math8122236, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55966
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.
https://doi.org/10.1177/0954411920946526, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa54883
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
https://doi.org/10.1016/j.cma.2020.113217, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa54477
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)
https://doi.org/10.3390/math8081207, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55084
http://dx.doi.org/10.3390/math8081207
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
https://doi.org/10.3390/pathogens9040255, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa54020
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.
https://doi.org/10.1007/s10237-019-01146-0, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49921
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
https://doi.org/10.1002/cnm.3180, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa48157
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
https://doi.org/10.1002/cnm.2908, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa34379
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.
https://doi.org/10.1051/mmnp/201712505, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa36270
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.
https://doi.org/10.1016/j.jbiomech.2017.09.040, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa35694
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
https://doi.org/10.1002/cnm.2854, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa31211
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.
https://doi.org/10.1007/s10237-017-0884-8, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa31819
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.
https://doi.org/10.1016/j.engappai.2016.10.007, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa30588
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.
https://doi.org/10.1080/21681163.2015.1124027, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa25291
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
https://doi.org/10.3390/computation5010003, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa31455
Sazonov, I., Kelbert, M., & Gravenor, M. (2016). Random migration processes between two stochastic epidemic centers. Mathematical Biosciences, 274, 45-57.
https://doi.org/10.1016/j.mbs.2016.01.011, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa26751
http://www.sciencedirect.com/science/article/pii/S0025556416000225
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.
https://doi.org/10.1002/cnm.2600, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20249
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.
https://doi.org/10.1002/cnm.2581, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20039
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)
https://doi.org/10.1002/cnm.1470, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa9122
Nithiarasu, P. & Sazonov, I. (2012). Numerical Prediction of Heat Transfer Patterns in a Subject-Specific Human Upper Airway. Journal of Heat Transfer, 134(3)
https://doi.org/10.1115/1.4005158, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa9127
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
https://doi.org/10.1002/cnm.2533, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa14316
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.
https://doi.org/10.1108/0961553111117774, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa12816
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.
https://doi.org/10.1002/nme.2986, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa5626
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.
https://doi.org/10.1093/imammb/dqq016, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa7261
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.
https://doi.org/10.1016/j.mbs.2011.09.002, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa7975
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)
https://doi.org/10.1002/cnm.1425, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa9120
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)
https://doi.org/10.1108/09615531111177741, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa9125
Kelbert, M., Sazonov, I., & Gravenor, M. (2011). Critical reaction time during a disease outbreak. Ecological Complexity, 8(4), 326-335.
https://doi.org/10.1016/j.ecocom.2011.07.002, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa14653
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
https://doi.org/10.1002/fld.2313, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa5623
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.
https://doi.org/10.1109/TIP.2010.2092434, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa5306
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5635339&tag=1
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.
https://doi.org/10.1051/mmnp:2008069, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa7262
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.
https://doi.org/10.1016/j.nima.2006.12.016, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa5755
VORONOVICH, V., Sazonov, I., & SHRIRA, V. (2006). On radiating solitons in a model of the internal wave-shear flow resonance. , 273-301.
https://doi.org/10.1017/S0022112006002485, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa1920
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.
https://doi.org/10.1017/S0022112003006633, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa1919
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.
https://doi.org/10.1017/S0022112003004889, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa1918

Book Chapters

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).
https://doi.org/10.1007/978-3-642-36620-8_12, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa28864
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
https://doi.org/10.1007/978-94-007-5446-1_4, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20957
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).
https://doi.org/10.1007/8415_2011_100, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa12817
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
https://doi.org/10.1007/978-1-4020-8758-5_5, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa5754

Conference Contributions

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.
https://doi.org/10.1007/978-3-031-11818-0_69, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62181

Taught Modules

EG-335 Gas Dynamics

This module introduces students to dynamics of a compressible gas flow, shock waves and other discontinuities.
EGA321 Satellite Systems

This module introduces students to earth orbiting satellites, their launch, the environment they operate in and how they are controlled, before moving on to satellite communcation technologies, applications of earth orbiting satellites and the technologies behind this.