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Hua-Liang Wei

Prof. Hua-Liang Wei

Department of Automatic Control and Systems Engineering, The University of Sheff...

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Hua-Liang Wei received his Ph.D. from the Department of Automatic Control and Systems Engineering (ACSE), University of Sheffield, UK, in 2004. Dr Wei is currently a Senior Lecturer (Associate Professor) with ACSE at the University of Sheffield. He is head of Digital Medicine and Computational Neuroscience (DMCN), head of the laboratory of Dynamic Modelling, and head of the laboratory of Data Mining and Decision Making (3DM). He has been awarded grants (as PI and Co-I) by a variety of funding bodies, including the EPSRC, NERC, STFC, EU H2020, the Royal Society, and so forth. He has published more than 160 peer-reviewed papers. His main research interests are signal processing, nonlinear system identification, interpretable machine learning and explainable AI, data-driven modelling, knowledge-informed predictive modelling, and intelligent fault detection and diagnosis. He has been devoted to these areas for over 20 years, tackling challenging issues at the interface of data science, computer science, and control and systems engineering, to develop new fundamental methods that can be adapted to solve challenging, complex systems modelling problems in multi- and inter-disciplinary areas, including EEG signal processing, medicine and bio-medicine, weather and climate, space weather, neurophysiology, neuroscience, and healthcare. He has a strong interest in initializing and developing new research directions that can help solve emerging challenging problems.

Research Keywords & Expertise

neural networks & deep...
Computational and art...
fault diagnosis
System Identification ...
Healthcare and medical...

Fingerprints

21%
System Identification And Modeling
10%
Machine Learning & Big Data Analytics
9%
neural networks & deep learning
6%
fault diagnosis
5%
Signal processing and pattern analysis

Short Biography

Hua-Liang Wei received his Ph.D. from the Department of Automatic Control and Systems Engineering (ACSE), University of Sheffield, UK, in 2004. Dr Wei is currently a Senior Lecturer (Associate Professor) with ACSE at the University of Sheffield. He is head of Digital Medicine and Computational Neuroscience (DMCN), head of the laboratory of Dynamic Modelling, and head of the laboratory of Data Mining and Decision Making (3DM). He has been awarded grants (as PI and Co-I) by a variety of funding bodies, including the EPSRC, NERC, STFC, EU H2020, the Royal Society, and so forth. He has published more than 160 peer-reviewed papers. His main research interests are signal processing, nonlinear system identification, interpretable machine learning and explainable AI, data-driven modelling, knowledge-informed predictive modelling, and intelligent fault detection and diagnosis. He has been devoted to these areas for over 20 years, tackling challenging issues at the interface of data science, computer science, and control and systems engineering, to develop new fundamental methods that can be adapted to solve challenging, complex systems modelling problems in multi- and inter-disciplinary areas, including EEG signal processing, medicine and bio-medicine, weather and climate, space weather, neurophysiology, neuroscience, and healthcare. He has a strong interest in initializing and developing new research directions that can help solve emerging challenging problems.