Dr Lingzhong Guo
School of Electrical and Electronic Engineering
Lecturer
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+44 114 222 5631
Full contact details
School of Electrical and Electronic Engineering
Amy Johnson Building
Portobello Street
Sheffield
S1 3JD
- Profile
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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
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- 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
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Journal articles
- 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
- 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
- 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.
- 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.
- Ultra-short-term wind power prediction based on double decomposition and LSSVM. Transactions of the Institute of Measurement and Control.
- 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.
- Power allocation strategy for urban rail HESS based on deep reinforcement learning sequential decision optimization. IEEE Transactions on Transportation Electrification.
- Power dynamic allocation strategy for urban rail hybrid energy storage system based on iterative learning control. Energy, 245, 123263-123263.
- 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
- Modelling and simulation of urban traffic systems: present and future. International Journal of Cybernetics and Cyber-Physical Systems, 1(1), 1-32.
- Adaptive neuro-fuzzy approach for prediction of dewpoint pressure for gas condensate reservoirs. Petroleum Science and Technology, 38(9), 673-681.
- 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
- 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
- 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
- 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
- Neuro-Adaptive Learning Approach for Predicting Production Performance and Pressure Dynamics of Gas Condensation Reservoir. IFAC-PapersOnLine, 52(29), 122-127.
- 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
- 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
- A New Proxy Measurement Algorithm with Application to the Estimation of Vertical Ground Reaction Forces Using Wearable Sensors. Sensors, 17(10), ---.
- 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
- Ultra-Orthogonal Forward Regression Algorithms for the Identification of Non-Linear Dynamic Systems. Neurocomputing, 173(3), 715-723. View this article in WRRO
- 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
- An iterative orthogonal forward regression algorithm. International Journal of Systems Science, 46(5), 776-789. View this article in WRRO
- Approximate observability of infinite dimensional bilinear systems using a Volterra series expansion. Systems & Control Letters , 75, 20-26. View this article in WRRO
- 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
- Spatial frequency range analysis for the nonlinear Schrödinger equation. Nonlinear Dynamics.
- A spatial frequency domain analysis of the belousov-zhabotinsky reaction. International Journal of Bifurcation and Chaos, 24(3).
- Volterra Series Approximation of a Class of Nonlinear Dynamical Systems Using the Adomian Decomposition Method. Nonlinear Dynamics, 1-13.
- The use of Volterra series in the analysis of the nonlinear Schrödinger equation. Nonlinear Dynamics, 1-13.
- A parametric frequency response method for non-linear time-varying systems. International Journal of Systems Science.
- A Volterra series representation for a class of nonlinear infinite dimensional systems with periodic boundary conditions. Systems and Control Letters, 62(2), 115-123.
- A Volterra series approach to the frequency domain analysis of non-linear viscous Burgers' equation. NONLINEAR DYNAMICS, 70(3), 1753-1765.
- Bayesian identification of stochastic linear systems with observations at multiple scales. INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 42(8), 1363-1373.
- Effects of bearing clearance on the chatter stability of milling process. Nonlinear Analysis: Real World Applications, 11(5), 3577-3589.
- The Transmissibility of Vibration Isolators With a Nonlinear Antisymmetric Damping Characteristic. J VIB ACOUST, 132(1).
- Identification of partial differential equation models for a class of multiscale spatio-temporal dynamical systems. INT J CONTROL, 83(1), 40-48.
- Identification of multiscale spatio-temporal dynamical systems using a wavelet multiresolution analysis. INT J SYST SCI, 40(11), 1115-1126.
- Consistent recursive parameter estimation of partial differential equation models. INT J CONTROL, 82(10), 1946-1954.
- Lattice Dynamical Wavelet Neural Networks Implemented Using Particle Swarm Optimization for Spatio-Temporal System Identification. IEEE T NEURAL NETWOR, 20(1), 181-185.
- An extended orthogonal forward regression algorithm for system identification using entropy. INT J CONTROL, 81(4), 690-699.
- Identification and analysis of spatio-temporal dynamical systems using wavelets. INT J SYST SCI, 39(3), 315-334.
- State-space reconstruction and spatio-temporal prediction of lattice dynamical systems. IEEE T AUTOMAT CONTR, 52(4), 622-632.
- A modified orthogonal forward regression least-squares algorithm for system modelling from noisy regressors. INT J CONTROL, 80(3), 340-348.
- 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.
- Detection of fatigue cracks in a beam using a spatio-temporal dynamical system identification method. J SOUND VIB, 299(1-2), 22-35.
- Neighbourhood detection and identification of spatio-temporal dynamical systems using a coarse-to-fine approach. INT J SYST SCI, 38(1), 1-15.
- Identification of coupled map lattice models for spatio-temporal patterns using wavelets. INT J SYST SCI, 37(14), 1021-1038.
- Estimation of spatial derivatives and identification cation of continuous spatio-temporal dynamical systems. INT J CONTROL, 79(9), 1118-1135.
- Identification of partial differential equation models for continuous spatio-temporal dynamical systems. IEEE T CIRCUITS-II, 53(8), 657-661.
- Identification of coupled map lattice models of stochastic spatio-temporal dynamics using wavelets. DYNAM SYST, 19(3), 265-278.
- Stable adaptive neurocontrol for nonlinear discrete-time systems. IEEE Transactions on Neural Networks, 15(3), 653-662.
- A fast convergent extended Kalman observer for nonlinear discrete-time systems. International Journal of Systems Science, 33(13), 1051-1058.
Chapters
- Multi-objective Optimization of Traffic Signal Systems on Urban Arterial Roads, Advances in Intelligent Systems and Computing (pp. 277-286). Springer Singapore
- GAPSO-Based Traffic Signal Control in Isolated Intersection with Multiple Objectives, Advances in Intelligent Systems and Computing (pp. 263-275). Springer Singapore
- Neural Network Enhanced Optimal Self-tuning Controller Design for Induction Motors, Global Optimization (pp. 529-546). Springer Nature
Conference proceedings papers
- Data-Driven Based Modelling of Pressure Dynamics in Multiphase Reservoir Model. 2022 UKACC 13th International Conference on Control (CONTROL), 20 April 2022 - 22 April 2022.
- 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.
- 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
- 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
- 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
- Estimation of Centre of Pressure from Wearable Intertial Sensors. 2018 UKACC 12th International Conference on Control (CONTROL), 5 September 2018 - 7 September 2018.
- 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)
- 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
- Grants
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SANO: Centre for New Methods in Computational Diagnostics and Personalised Therapy (Co-PI), EC H2020, 08/2019 - 07/2026, £2,497,386.
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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.
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SPINe: Numerical and Experimental Repair strategies (Co-PI), Horizon2020 European program, Initial Training Network, 01/2017-12/2021, €1,588,449.60.
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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
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White Rose Collaboration Fund 2014: Reduced-order spatio-temporal dynamical modelling and simulation of periprosthetic bone remodelling for joint replacements (PI), 2015-2016
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