Papers & Reports

  • N. Polydorides, Y. Wu, . H. Noori, H. Vandierendonck, and R. Woods “Low-Variance Randomised Numerical Linear Algebra for Finite Element Simulation,” arXiv preprint , 2026. [arXiv Link]
  • T. Ouypornkochagorn, N. Polydorides, J. Jia, and H. McCann, “Frequency-Difference Electrical Impedance Tomography for Stroke Monitoring: Effects of Model Accuracy and Reconstruction Methods,” IEEE Sensors Journal, 2026. [IEEE Link]
  • R. Kruse, N. Polydorides, and Y. Wu, “Application of randomized quadrature formulas to the finite element method for elliptic equations,” BIT Numerical Mathematics, 2026. [Publisher Link]
  • R. Lung and N. Polydorides, “Imaging of Atmospheric Dispersion Processes with Differential Absorption Lidar,” SIAM Journal on Imaging Sciences, 2024. [SIAM Link]
  • A. Alzaabi, T. Arslan, and N. Polydorides, “Non-Contact Wi-Fi Sensing of Respiration Rate for Older Adults in Care: A Validity and Repeatability Study,” IEEE Access, 2024. [IEEE Link]
  • X. Li and N. Polydorides, “Time-efficient surrogate models of thermal modelling in laser powder bed fusion,” Additive Manufacturing, vol. 59, Part A, 103122, 2022. [Publisher Link]
  • A. Upadhyay, M. Lengden, ... N. Polydorides et al., “Tomographic imaging of carbon dioxide in the exhaust plume of large commercial aero-engines,” Applied Optics, 61(28), 2022. [Publisher Link]
  • D. Kamilis, M. Blatter, and N. Polydorides, “Learned spectral computed tomography,” arXiv preprint arXiv:2104.09914, 2021. [arXiv Link]
  • X. Li and N. Polydorides, “A reduced Gaussian process heat emulator for laser powder bed fusion,” 8th Changeable, Agile, Reconfigurable, and Virtual Production Conference (CARV2021), 2021.
  • R. Lung, Y. Wu, D. Kamilis, and N. Polydorides, “A sketched finite element method for elliptic equations,” Computer Methods in Applied Mechanics and Engineering, vol. 372, 113344, 2020. [Publisher Link]
  • Y. Wu and N. Polydorides, “A multilevel Monte Carlo estimator for matrix multiplication,” SIAM Journal on Scientific Computing, 42(5), A2731–A2749, 2020. [SIAM Link]
  • D. Kamilis, N. Polydorides, S. Lee, and J. Desjardins, “Spectral X-ray CT for fast NDT using discrete tomography,” Proceedings of the Solid Freeform Fabrication Symposium, 2019.
  • D. Kamilis and N. Polydorides, “Uncertainty quantification for low-frequency, time-harmonic Maxwell equations with stochastic conductivity models,” SIAM/ASA Journal on Uncertainty Quantification, 6(4), 1295–1334, 2018. [SIAM Link]
  • N. Polydorides, “Electrode modelling and image reconstruction in Lorentz force impedance tomography,” Physiological Measurement, 39(4), IOP Publishing, 2018. [PDF Link]
  • N. Polydorides, A. Tsekenis, E. Fisher, A. Chighine, H. McCann, L. Dimiccoli, P. Wright, M. Lengden, T. Benoy, D. Wilson, G. Humphries, and W. Johnstone, “Constrained models for optical absorption tomography,” Applied Optics, 57(7), B1–B9, 2018. [Publisher Link]
  • S. Tsekenis and N. Polydorides, “Optical access schemes for high speed and spatial resolution optical absorption tomography in energy engineering,” IEEE Sensors Journal, 17(24), 2017. [IEEE Link]
  • Y. Bao, J. Jia, and N. Polydorides, “Real-time temperature field measurement based on acoustic tomography,” Measurement Science and Technology, 28(7), 2017. [Publisher Link]
  • N. Polydorides, H. McCann, S. A. Tsekenis, V. Prat Archila, and P. Wright, “An efficient approach for limited-data chemical species tomography and its error bounds,” Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 472: 20150875, 2016. [Publisher Link]
  • A. Baltopoulos, N. Polydorides, L. Pambaguian, A. Vavouliotis, and V. Kostopoulos, “Exploiting carbon nanotube networks for damage assessment of fibre reinforced composites,” Composites Part B: Engineering, 76, 149–158, 2015. [Publisher Link]
  • N. Polydorides and F. Delbary, “Marine Electrical Sensing for Detecting Small Inhomogeneities,” IEEE Transactions on Geoscience and Remote Sensing, 53(2), 988–1000, 2015. [IEEE Link]
  • A. Baltopoulos, N. Polydorides, L. Pambaguian, A. Vavouliotis, and V. Kostopoulos, “Damage identification in carbon fiber reinforced polymer plates using electrical resistance tomography mapping,” Journal of Composite Materials, 47(26), 3285–3301, 2013. [Publisher Link]
  • N. Polydorides, M. Wang, and D. Bertsekas, “A Quasi Monte Carlo method for large-scale inverse problems,” in Monte Carlo and Quasi-Monte Carlo Methods 2010, H. Wozniakowski and L. Plaskota (Eds.), Springer, 2012.
  • N. Polydorides, A. Aghasi, and E. L. Miller, “High-order regularized regression in Electrical Impedance Tomography,” SIAM Journal on Imaging Sciences, 5(3), 912–942, 2012. [SIAM Link]
  • N. Polydorides and E. Storteig, “Ocean current inference using towed cable hydrodynamics,” ASCE Journal of Waterway, Port, Coastal, and Ocean Engineering, 138(2), 2–8, 2012. [Publisher Link]
  • N. Polydorides, “A stochastic simulation method for uncertainty quantification in the linearized inverse conductivity problem,” International Journal for Numerical Methods in Engineering, 90(1), 22–39, 2011. [Publisher Link]
  • N. Polydorides, “The linearization error in electrical impedance tomography,” Progress in Electromagnetics Research, 93, 323–337, 2009. [Publisher Link]
  • N. Polydorides, E. Storteig, and W. R. B. Lionheart, “Ocean current estimation in towed cable hydrodynamics under dynamic steering,” Inverse Problems in Science and Engineering, 17(5), 627–645, 2009. [Publisher Link]
  • N. Polydorides, E. Storteig, and W. R. B. Lionheart, “Forward and inverse problems in towed cable hydrodynamics,” Ocean Engineering, 35(14-15), 1429–1438, 2008. [Publisher Link]
  • N. Polydorides, D.-H. Kim, C. Won, and G. E. Georghiou, “Subspace constrained regularization for corrosion detection with magnetic induction tomography,” NDT & E International, 41(7), 510–516, 2008. [Publisher Link]
  • N. Polydorides, “High contrast electrical impedance imaging,” Proceedings in Industrial Mathematics at ECMI 2006, Springer, 2008.
  • A. Kyprianou, N. Loucaides, N. Polydorides, G. E. Georghiou, C. Charalambous, and C. Doumanides, “Stochastic control for nanoparticle manipulation using electric fields,” International Journal of Nanomanufacturing, 1(6), 751–761, 2007.
  • N. Polydorides, A. Kyprianou, and C. D. Charalambous, “Numerical modeling for atomic force microscopy based impedance imaging,” Proceedings of the Institution of Mechanical Engineers, Part N: Journal of Nanoengineering and Nanosystems, 219(4), 147–156, 2006. [Publisher Link]
  • M. Soleimani, C. Powell, and N. Polydorides, “Improving the forward solver for the complete electrode model in EIT using algebraic multigrid,” IEEE Transactions on Medical Imaging, 24(5), 577–583, 2005. [IEEE Link]
  • W. R. B. Lionheart, N. Polydorides, and A. Borsic, “The image reconstruction problem,” in Electrical Impedance Tomography: Methods, History and Applications, D. S. Holder (Ed.), IOP Publishing, Bristol, UK, 2004.
  • N. Polydorides and H. McCann, “Electrode configurations for improved sensitivity in Electrical Impedance Tomography,” Measurement Science and Technology, 13(12), 1862–1870, 2002. [Publisher Link]
  • N. Polydorides and W. R. B. Lionheart, “A MATLAB based toolkit for three-dimensional Electrical Impedance Tomography: A contribution to the EIDORS project,” Measurement Science and Technology, 13(12), 1871–1883, 2002. [Publisher Link]
  • N. Polydorides, W. R. B. Lionheart, and H. McCann, “Krylov subspace iterative techniques: On the detection of brain activity with Electrical Impedance Tomography,” IEEE Transactions on Medical Imaging, 21(6), 596–603, 2002. [IEEE Link]