Dr Lingzhong Guo

School of Electrical and Electronic Engineering

Lecturer

l.guo@sheffield.ac.uk
+44 114 222 5631

Amy Johnson Building

Full contact details

Dr Lingzhong Guo
School of Electrical and Electronic Engineering
Amy Johnson Building
Portobello Street
Sheffield
S1 3JD

Profile: I received my PhD degree from Bristol Robotics Laboratory (BRL), UWE Bristol. After that I joined the University of Sheffield as a post-doctoral research associate at the Department of Automatic Control and Systems Engineering, working on spatio-temporal system identification and analysis. I subsequently became a lecturer in the same department and a member of the Insigneo Institute for in silico Medicine. I am also a member of Neuroscience Institute at the University of Sheffield. My research focuses on signal processing and complex systems with applications in biomedical systems.

Research interests

Nonlinear systems identification and analysis in the spatial-temporal domain and frequency domain.
Identification and control of PDE systems and coupled PDE–ODE control systems
Computationally efficient modelling & simulation including proxy measurement and surrogate modelling
Multiscale modelling and analysis of biomedical systems
Modelling and simulation of cell response to stresses
Application of machine learning and deep learning to medical image classification and segmentation

Publications

Journal articles

Lin Z, Dall’Ara E & Guo L (2024) A novel mean shape based post-processing method for enhancing deep learning lower-limb muscle segmentation accuracy. PLOS ONE, 19(10). View this article in WRRO
Henson WH, Li X, Lin Z, Guo L, Mazzá C & Dall’Ara E (2024) Automatic segmentation of lower limb muscles from MR images of post-menopausal women based on deep learning and data augmentation. PLOS ONE, 19(4). View this article in WRRO
Lin Z, Henson WH, Dowling L, Walsh J, Dall’Ara E & Guo L (2024) Automatic segmentation of skeletal muscles from MR images using modified U-Net and a novel data augmentation approach. Frontiers in Bioengineering and Biotechnology, 12. View this article in WRRO
Wang X, Zhou J, Qin B & Guo L (2024) Coordinated Power Smoothing Control Strategy of Multi-Wind Turbines and Energy Storage Systems in Wind Farm Based on MADRL. IEEE Transactions on Sustainable Energy, 15(1), 368-380.
Wang X, Zhang X, Qin B & Guo L (2023) Improved multi-objective grasshopper optimization algorithm and application in capacity configuration of urban rail hybrid energy storage systems. Journal of Energy Storage, 72, 108363-108363.
Qin B, Huang X, Wang X & Guo L (2023) Ultra-short-term wind power prediction based on double decomposition and LSSVM. Transactions of the Institute of Measurement and Control.
Wang X, Zhou J, Qin B & Guo L (2023) Coordinated control of wind turbine and hybrid energy storage system based on multi-agent deep reinforcement learning for wind power smoothing. Journal of Energy Storage, 57.
Wang X, Luo Y, Qin B & Guo L (2022) Power allocation strategy for urban rail HESS based on deep reinforcement learning sequential decision optimization. IEEE Transactions on Transportation Electrification.
Wang X, Luo Y, Qin B & Guo L (2022) Power dynamic allocation strategy for urban rail hybrid energy storage system based on iterative learning control. Energy, 245, 123263-123263.
Zhang M, Zhao A, Guo C & Guo L (2021) A combined modelling and experimental study of heat shock factor SUMOylation in response to heat shock. Journal of Theoretical Biology, 530. View this article in WRRO
Qiao F, Liu T, Sun H, Guo L & Chen Y (2021) Modelling and simulation of urban traffic systems: present and future. International Journal of Cybernetics and Cyber-Physical Systems, 1(1), 1-32.
Ali A & Guo L (2020) Adaptive neuro-fuzzy approach for prediction of dewpoint pressure for gas condensate reservoirs. Petroleum Science and Technology, 38(9), 673-681.
Benemerito I, Modenese L, Montefiori E, Mazzà C, Viceconti M, Lacroix D & Guo L (2020) An extended discrete element method for the estimation of contact pressure at the ankle joint during stance phase. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, 234(5), 507-516. View this article in WRRO
Guo L, Lu S & Zhao D (2020) Preface. International Journal of Simulation and Process Modelling, 15(3), 199-200.
Sun H, Qiao F, Wang Z & Guo L (2020) A two-level identification model for selecting the coordination strategy for the urban arterial road based on fuzzy logic. International Journal of Simulation and Process Modelling, 14(6), 478-487. View this article in WRRO
Guo Y, Wang L, Li Y, Luo J, Wang K, Billings SA & Guo L (2019) Neural activity inspired asymmetric basis function TV-NARX model for the identification of time-varying dynamic systems. Neurocomputing, 357, 188-202. View this article in WRRO
Guo Y, Wang L, Li Y, Guo L & Meng F (2019) The detection of freezing of gait in Parkinson's disease using asymmetric basis function TV-ARMA time-frequency spectral estimation method. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 27(10), 2077-2086. View this article in WRRO
Ali A & Guo L (2019) Neuro-Adaptive Learning Approach for Predicting Production Performance and Pressure Dynamics of Gas Condensation Reservoir. IFAC-PapersOnLine, 52(29), 122-127.
Shahabpoor E, Pavic A, Brownjohn JMW, Billings SA, Guo L & Bocian M (2018) Real-life measurement of tri-axial walking ground reaction forces using optimal network of wearable inertial measurement units. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 26(6), 1243-1253. View this article in WRRO
Guo Y, Guo L, Racic V, Wang S & Billings S (2018) Modelling the Nonlinear Oscillations Due to Vertical Bouncing Using a Multi-Scale Restoring Force System Identification Method. International Journal of Signal and Imaging Systems Engineering, 11(1). View this article in WRRO
Guo Y, Storm F, Zhao Y, Billings S, Pavic A, Mazzà C & Guo L-Z (2017) A New Proxy Measurement Algorithm with Application to the Estimation of Vertical Ground Reaction Forces Using Wearable Sensors. Sensors, 17(10), ---.
Guo Y, Guo LZ, Billings SA & Wei H-L (2016) Identification of continuous-time models for nonlinear dynamic systems from discrete data. INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 47(12), 3044-3054. View this article in WRRO
Guo Y, Guo LZ, Billings SA & Wei H-L (2016) Ultra-Orthogonal Forward Regression Algorithms for the Identification of Non-Linear Dynamic Systems. Neurocomputing, 173(3), 715-723. View this article in WRRO
Guo Y, Guo LZ, Billings SA & Lang ZQ (2016) A New Efficient System Identification Method for Nonlinear Multiple Degree-of-Freedom Structural Dynamic Systems. Journal of Computational and Nonlinear Dynamics, 11(2). View this article in WRRO
Guo Y, Guo LZ, Billings SA & Wei H-L (2015) An iterative orthogonal forward regression algorithm. International Journal of Systems Science, 46(5), 776-789. View this article in WRRO
Guo LZ, Guo YZ, Billings SA & Coca D (2015) Approximate observability of infinite dimensional bilinear systems using a Volterra series expansion. Systems & Control Letters , 75, 20-26. View this article in WRRO
Guo Y, Guo LZ, Billings SA & Wei HL (2015) Identification of nonlinear systems with non-persistent excitation using an iterative forward orthogonal least squares regression algorithm. International Journal of Modelling, Identification and Control, 23(1), 1-7. View this article in WRRO
Guo LZ, Guo YZ, Billings SA, Coca D & Lang ZQ (2014) Spatial frequency range analysis for the nonlinear Schrödinger equation. Nonlinear Dynamics.
Guo L, Guo Y, Zhao Y, Billings SA, Coca D & Lang Z (2014) A spatial frequency domain analysis of the belousov-zhabotinsky reaction. International Journal of Bifurcation and Chaos, 24(3).
Guo Y, Guo LZ, Billings SA, Coca D & Lang ZQ (2013) Volterra Series Approximation of a Class of Nonlinear Dynamical Systems Using the Adomian Decomposition Method. Nonlinear Dynamics, 1-13.
Guo LZ, Guo YZ, Billings SA, Coca D & Lang ZQ (2013) The use of Volterra series in the analysis of the nonlinear Schrödinger equation. Nonlinear Dynamics, 1-13.
Guo Y, Guo LZ, Billings SA, Coca D & Lang ZQ (2013) A parametric frequency response method for non-linear time-varying systems. International Journal of Systems Science.
Guo LZ, Guo YZ, Billings SA, Coca D & Lang ZQ (2013) A Volterra series representation for a class of nonlinear infinite dimensional systems with periodic boundary conditions. Systems and Control Letters, 62(2), 115-123.
Guo LZ, Guo YZ, Billings SA, Coca D & Lang ZQ (2012) A Volterra series approach to the frequency domain analysis of non-linear viscous Burgers' equation. NONLINEAR DYNAMICS, 70(3), 1753-1765.
Guo Y, Guo LZ, Billings SA, Coca D & Lang ZQ (2012) Characterizing nonlinear spatio-temporal systems in the frequency domain. International Journal of Bifurcation and Chaos, 22(2).
Guo LZ, Billings SA, Coca D & Balikhin M (2011) Bayesian identification of stochastic linear systems with observations at multiple scales. INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 42(8), 1363-1373.
Peng ZK, Jackson MR, Guo LZ, Parkin RM & Meng G (2010) Effects of bearing clearance on the chatter stability of milling process. Nonlinear Analysis: Real World Applications, 11(5), 3577-3589.
Peng ZK, Lang ZQ, Jing XJ, Billings SA, Tomlinson GR & Guo LZ (2010) The Transmissibility of Vibration Isolators With a Nonlinear Antisymmetric Damping Characteristic. J VIB ACOUST, 132(1).
Wei HL, Billings SA, Zhao YF & Guo LZ (2010) An adaptive wavelet neural network for spatio-temporal system identification. Neural Networks.
Guo LZ, Billings SA & Coca D (2010) Identification of partial differential equation models for a class of multiscale spatio-temporal dynamical systems. INT J CONTROL, 83(1), 40-48.
Guo LZ, Billings SA & Coca D (2009) Identification of multiscale spatio-temporal dynamical systems using a wavelet multiresolution analysis. INT J SYST SCI, 40(11), 1115-1126.
Guo LZ, Billings SA & Coca D (2009) Consistent recursive parameter estimation of partial differential equation models. INT J CONTROL, 82(10), 1946-1954.
Wei HL, Billings SA, Zhao YF & Guo LZ (2009) Lattice Dynamical Wavelet Neural Networks Implemented Using Particle Swarm Optimization for Spatio-Temporal System Identification. IEEE T NEURAL NETWOR, 20(1), 181-185.
Guo LZ, Billings SA & Zhu DQ (2008) An extended orthogonal forward regression algorithm for system identification using entropy. INT J CONTROL, 81(4), 690-699.
Guo LZ & Billings SA (2008) Identification and analysis of spatio-temporal dynamical systems using wavelets. INT J SYST SCI, 39(3), 315-334.
Guo LZ & Billings SA (2007) Identification of binary cellular automata from spatio-temporal binary patterns using a Fourier representation. INT J BIFURCAT CHAOS, 17(6), 1985-1996.
Guo LZ & Billings SA (2007) State-space reconstruction and spatio-temporal prediction of lattice dynamical systems. IEEE T AUTOMAT CONTR, 52(4), 622-632.
Guo L & Billings SA (2007) A modified orthogonal forward regression least-squares algorithm for system modelling from noisy regressors. INT J CONTROL, 80(3), 340-348.
Guo LZ, Zhu QM & Warwick K (2007) Design of a minimum variance multiple input-multiple output neuro self-tuning proportional-integral-derivative controller for non-linear dynamic systems. Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering, 221(1), 75-88.
Guo LZ & Billings SA (2007) Detection of fatigue cracks in a beam using a spatio-temporal dynamical system identification method. J SOUND VIB, 299(1-2), 22-35.
Guo LZ, Mei SS & Billings SA (2007) Neighbourhood detection and identification of spatio-temporal dynamical systems using a coarse-to-fine approach. INT J SYST SCI, 38(1), 1-15.
Billings SA, Guo LZ & Wei HL (2006) Identification of coupled map lattice models for spatio-temporal patterns using wavelets. INT J SYST SCI, 37(14), 1021-1038.
Guo LZ, Billings SA & Wei HL (2006) Estimation of spatial derivatives and identification cation of continuous spatio-temporal dynamical systems. INT J CONTROL, 79(9), 1118-1135.
Guo LZ & Billings SA (2006) Identification of partial differential equation models for continuous spatio-temporal dynamical systems. IEEE T CIRCUITS-II, 53(8), 657-661.
Guo LZ & Billings SA (2005) A comparison of polynomial and wavelet expansions for the identification of chaotic coupled map lattices. INT J BIFURCAT CHAOS, 15(9), 2927-2938.
Mei SS, Billings SA & Guo LZ (2005) A neighborhood selection method for cellular automata models. INT J BIFURCAT CHAOS, 15(2), 383-393.
Guo LZ & Billings SA (2004) Identification of coupled map lattice models of stochastic spatio-temporal dynamics using wavelets. DYNAM SYST, 19(3), 265-278.
Zhu Q & Guo L (2004) Stable adaptive neurocontrol for nonlinear discrete-time systems. IEEE Transactions on Neural Networks, 15(3), 653-662.
Guo LZ & Zhu QM (2002) A fast convergent extended Kalman observer for nonlinear discrete-time systems. International Journal of Systems Science, 33(13), 1051-1058.

Chapters

Chen Y, Qiao F, Guo L & Liu T (2021) GAPSO-Based Traffic Signal Control in Isolated Intersection with Multiple Objectives, Advances in Intelligent Systems and Computing (pp. 263-275). Springer Singapore
Liu T, Qiao F, Guo L & Chen Y (2021) Multi-objective Optimization of Traffic Signal Systems on Urban Arterial Roads, Advances in Intelligent Systems and Computing (pp. 277-286). Springer Singapore
Guo Y, Guo LZ & Billings SA (2017) Volterra series and associated frequency domain representation of a class of bilinear partial differential equations, Nonlinear Systems: Design, Applications and Analysis (pp. 15-35).
Zhu QM, Guo LZ & Ma Z (2006) Neural Network Enhanced Optimal Self-tuning Controller Design for Induction Motors, Global Optimization (pp. 529-546). Springer Nature

Conference proceedings papers

Ali A, Diala U & Guo L (2022) Data-Driven Based Modelling of Pressure Dynamics in Multiphase Reservoir Model. 2022 UKACC 13th International Conference on Control (CONTROL) (pp 189-194), 20 April 2022 - 22 April 2022.
Ali A & Guo L (2021) Data-driven based investigation of pressure dynamics in underground hydrocarbon reservoirs. Energy Reports, Vol. 7(Supp_2) (pp 104-110). Virtual conference, 12 January 2021 - 13 January 2021.
Zhang M, Zhang Y, Zhao A, Guo C & Guo L (2020) Towards data-driven modelling of SUMOylation following heat shock. Proceedings of 2020 7th International Conference on Biomedical and Bioinformatics Engineering (pp 16-21). Kyoto, Japan, 6 November 2020 - 6 November 2020. View this article in WRRO
Zhu Y, Green AC, Guo L, Evans HR & Mihaylova L (2020) Machine learning approaches for cancer bone segmentation from micro computed tomography images. Proceedings of 2020 IEEE 23rd International Conference on Information Fusion (FUSION) (pp 1-6). Rustenburg, South Africa, 6 July 2020 - 6 July 2020. View this article in WRRO
Zhu Y, Green AC, Guo L, Evans HR & Mihaylova L (2020) Machine Learning Approaches for Cancer Bone Segmentation from Micro Computed Tomography Images. PROCEEDINGS OF 2020 23RD INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION 2020) (pp 1263-1268)
Qiao F, Sun H, Guo L, Song H & Wang Z (2019) Multi-objective optimization coordination for urban arterial roadway based on operational-features. Advancements in Smart City and Intelligent Building, Vol. 890 (pp 321-332). Hefei, China, 15 September 2018 - 15 September 2018. View this article in WRRO
Zeca I, Guo Y, Storm F, Mazza C & Guo L (2018) Estimation of Centre of Pressure from Wearable Intertial Sensors. 2018 UKACC 12th International Conference on Control (CONTROL), Vol. 17 (pp 450-455), 5 September 2018 - 7 September 2018.
Zhu QM & Guo LZ (2002) A pole placement controller for non-linear dynamic plants. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, Vol. 216(6) (pp 467-476)
Guo L, Melhuish C & Zhu Q (2002) Towards neural adaptive hovering control of helicopters. IEEE Conference on Control Applications - Proceedings, Vol. 1 (pp 54-58)

Grants

SANO: Centre for New Methods in Computational Diagnostics and Personalised Therapy (Co-PI), EC H2020, 08/2019 - 07/2026, £2,497,386.
Development of data processing and analysis methods for EIS-based medical diagnosis - KTP with Zilico Ltd (Co-PI), Innovate UK (TSB), 05/2019 – 05/2021, £190,816.
SPINe: Numerical and Experimental Repair strategies (Co-PI), Horizon2020 European program, Initial Training Network, 01/2017-12/2021, €1,588,449.60.
The 2014 EPSRC NCSML Awards: A study to the effect of external forces on the behaviour of differentially expressed genes by using a system identification method (PI), 09/2014-08/2015
White Rose Collaboration Fund 2014: Reduced-order spatio-temporal dynamical modelling and simulation of periprosthetic bone remodelling for joint replacements (PI), 2015-2016