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
91Ö±²¥
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 91Ö±²¥ 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 91Ö±²¥. 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
Chapters
Conference proceedings papers
- 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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