Dr Lingzhong Guo

School of Electrical and Electronic Engineering

Lecturer

Dr Ling-zhong Guo
Profile picture of Dr Ling-zhong Guo
l.guo@sheffield.ac.uk
+44 114 222 5631

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

Chapters

Conference proceedings papers

Grants
  1. SANO: Centre for New Methods in Computational Diagnostics and Personalised Therapy (Co-PI), EC H2020, 08/2019 - 07/2026, £2,497,386.

  2. 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.

  3. SPINe: Numerical and Experimental Repair strategies (Co-PI), Horizon2020 European program, Initial Training Network, 01/2017-12/2021, €1,588,449.60.

  4. 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

  5. White Rose Collaboration Fund 2014: Reduced-order spatio-temporal dynamical modelling and simulation of periprosthetic bone remodelling for joint replacements (PI), 2015-2016