Dr Hua-Liang Wei

BSc, MSc, PhD

School of Electrical and Electronic Engineering

Senior Lecturer

w.hualiang@sheffield.ac.uk
+44 114 222 5198

Full contact details

Dr Hua-Liang Wei
School of Electrical and Electronic Engineering
Amy Johnson Building
Portobello Street
Sheffield
S1 3JD
Profile

Dr Wei is head of the following two Labs:

  • Dynamical Modelling, Data Mining and Decision Making (3DM)

  • Digital Medicine & Computational Neuroscience (DMCN)

Research interests
  • Identification and modelling for complex nonlinear systems
    • NARMAX methodology and applications.
    • Artificial neural networks (ANN), radial basis function networks (RBFN), wavelet neural networks and multiresolution wavelet models, computational statistics, machine learning, intelligent computation and data mining.
    • Regression analysis, parameter estimation and optimization, sparse representation.
    • Nonlinear and nonstationary (time-varying) signal processing, system identification and data modelling.
    • Spatio-temporal system identification and modelling.
  • Bioscience signal processing and data modelling
    • Neurophysiology and neuro-imaging data modelling and analysis.
    • EEG, fMRI and ECG data processing, modelling and analysis.
    • Data based classification, pattern recognition, anomaly detection, with applications in clinical and medical diagnosis and prognosis.
  • Forecasting and analysis of complex stochastic dynamical processes with applications in
    • Space weather systems.
    • Environmental systems.
    • Computational economics and finance.
  • New concepts and methodologies developments for the identification and analysis of nonlinear complex systems.
  • Applications and developments of signal processing, system identification and data modelling to control engineering, bioengineering, neuroscience, systems/synthetic biology, environments, space weather and other emerging areas.

The Dynamical Modelling, Data Mining and Decision Making (3DM) Lab

As part of the Complex Systems and Signal Processing Research Group, led by Professor Billings, this Lab conducts a wide scope of research in developing methods and algorithms for system identification, dynamical modelling, machine learning, data mining, signal processing, nonlinear system analysis, forecasting and decision making, with applications in general engineering, environment, medicine, neuroscience and computational biology, bioinformatics, cheminformatics, space, social dynamics, model and data based decision making, and other emerging areas.

Collaborations:

  • Department of Geography, University of Sheffield
  • Department of Chemistry, University of Sheffield
  • Department of Oncology, University of Sheffield
  • Department of Psychology, University of Sheffield
  • Sheffield Teaching Hospitals NHS Foundation Trust, Royal Hallamshire Hospital
  • School of Aerospace Engineering, Beijing Institute of Technology, China
  • School of Automation Science and Electrical Engineering, Beihang University, China

The Digital Medicine & Computational Neuroscience (DMCN) Lab

As part of the Complex Systems and Signal Processing Research Group, led by Professor Billings, this Lab conducts a wide scope of research in developing methods and algorithms for system identification, biomedical and neurophysiological signal processing, causality analysis, time-varying modelling, medical image processing, healthcare, digital medicine, decision making based on digital data. 

Collaborations:

●   Department of Chemistry, University of Sheffield
●   Department of Oncology, University of Sheffield
●   Department of Psychology, University of Sheffield
●   Sheffield Teaching Hospitals NHS Foundation Trust, Royal Hallamshire Hospital

Publications

Books

  • Jiang R, Crookes D, Wei H-L, Zhang L & Chazot P (2022) Recent Advances in Ai-Enabled Automated Medical Diagnosis. CRC Press. RIS download Bibtex download
  • Shigang Yue , Hua-Liang Wei , Lipo Wang & Yibin Song (2010) Preface. IEEE. RIS download Bibtex download
  • Yue S, Wei H-L, Wang L & Song Y (2010) Preface. IEEE. RIS download Bibtex download
  • Shigang Yue , Hua-Liang Wei , Lipo Wang & Yibin Song (2010) Preface. IEEE. RIS download Bibtex download

Journal articles

Chapters

Conference proceedings papers

Preprints

Grants

Modelling uncertainties in radiation belt forecasts, STFC, 04/2024 - 03/2027, £538,897, as PI

PICANTE - Processes, Impacts, and Changes of ANTarctic Extreme weather, NERC, 02/2024 - 10/2027, £2,060,245, as Co-PI.

EU Horizon 2020, Co-PI, `Prediction of Grespace Radiation Environment and Solar Wind Parameters (PROGRESS), 2 January 2015 to 1 January 2018, €2,5M (Sheffield €700,000).

EPSRC Platform Grant, S A Billings, V Kadirkamanathan, Z Q Lang, D Coca, M Balikhin, H L Wei, `System Identification and Information Processing for Complex Systems´, 4 January 2010 - 3 January 2015, £1,21M

Royal Society Collaboration Grant, V. Kadirkamanathan and H. L. Wei, `Investigation of the control mechanism on co-culture bioethanol producing system´, 2010 -2012, £11,950

EPSRC, H L Wei, `System Identification and Data Modelling of Complex Nonlinear and Nonstationary Processes´, 4 January 2011 to 31 March 2012, £101,004

The Ryder Briggs Charity, P.G. Sarrigiannis, Y. Zhao, H .L. Wei,  F. He, S. A. Billings, `The thalamic clock and the cortical focus theory in childhood absence epilepsy—an insight with a new approach of quantitative EEG analysis in the time domain: the error reduction ratio method´, 1 April 2013 to 3 March 2014, £8,378

Teaching activities
  • Data Modelling and Analysis (UG)
  • Optimisation and Search (MEng)
  • Optimisation and Search (MSc)
  • Nonlinear Systems (MEng)
  • Advanced Controller Design (MEng)
  • State-Space, Optimal Control and Nonlinear Systems (MSc)
Professional activities and memberships
  • Chair, Programme Committee - ICNC’10 (the 6th International Conference on Natural Computation 2010), Yantai, China, August 10-12, 2010.
  • Programme Committee member for a number of international conferences.
  • Reviewer for many international journals.
  • Reviewer for many international conferences.