Dr Hui Ma
Dr

Hui Ma

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Phone: 
+61 7 334 68751

Background

Dr Hui Ma received his B.Eng and M.Eng from Xi’an Jiaotong University (China), M.Eng (research) from Nanyang Technological University (Singapore), and PhD from the University of Adelaide (Australia). He has been working at the University of Queensland (Australia) since 2008. From 1997 to 2003, Dr Ma was an engineer in Singapore and made contribution to the design, development and deployment of the Intelligent Self-recovery and Automated Cargo Inventory Control System for Singapore Airline SuperHub 2.

Dr Ma's current research and development work is associated with Australian electricity supply industry. His research is centred on Electrical Asset Management including (1) modelling, sensing, and signal processing to improve the visibility of electricity networks and assets condition; and (2) data mining with uncertain reasoning for various applications of electricity networks with high penetration of renewables. Dr Hui Ma is an editor for IEEE Transactions on Power Delivery and a memebr of IEEE Smart Grid Steering Committee. He is also a member of CIGRE Australian Panel D1.

Dr Ma's course coordination and teaching:

ELEC2400 (Electronic Devices and Circuits)

ELEC4320 (Modern Asset Management and Condition Monitoring in Power System)

Dr Ma also coordinated and taught ELEC4400/EELC7402 (Advanced Electronic & Power Electronics Design) and ELEC7051 (Transformer Technology Design and Operation).

Availability

Dr Hui Ma is:
Available for supervision

Fields of research

Engineering

Qualifications

  • Bachelor of Engineering, Xi'an Jiaotong University
  • Masters (Research) of Electrical - Engineering, Xi'an Jiaotong University
  • Masters (Research) of Engineering, Nanyang Technological University
  • Doctor of Philosophy, University of Adelaide
  • Senior Member, Institute of Electrical and Electronics Engineers, Institute of Electrical and Electronics Engineers

Research interests

  • Power, Energy and Control Engineering

    Industrial informatics, condition monitoring and diagnosis, high voltage engineering and electrical insulation, power systems, wireless sensor networks, and sensor signal processing

Research impacts

My research work is closely associated with the Australian electricity supply industry and my research theme is “Power System Asset Management” with the focus on (1) modelling, sensing, and signal processing to improve the visibility of electricity networks and assets condition; and (2) data mining with uncertain reasoning for various applications of electricity networks with high penetration of renewables.

Search Professor Hui Ma’s works on UQ eSpace

131 works between 1997 and 2025
All (131) Journal Article (59) Book Chapter (3) Conference Publication (67) Other Outputs (2)

1 - 20 of 131 works

2025

Journal Article

Swin transformer-based transferable PV forecasting for new PV sites with insufficient PV generation data

Xu, Shijie, Ma, Hui, Ekanayake, Chandima and Cui, Yi (2025). Swin transformer-based transferable PV forecasting for new PV sites with insufficient PV generation data. Renewable Energy, 246 122824, 122824. doi: 10.1016/j.renene.2025.122824

Swin transformer-based transferable PV forecasting for new PV sites with insufficient PV generation data

2025

Journal Article

Virtual inertia control for damping low-frequency oscillation in IBR-dominated networks

Feng, Jiajie, Bai, Feifei, Nadarajah, Mithulananthan, Ma, Hui and Pradana, Adlan (2025). Virtual inertia control for damping low-frequency oscillation in IBR-dominated networks. IEEE Transactions on Industry Applications, 61 (2), 1907-1916. doi: 10.1109/tia.2025.3532239

Virtual inertia control for damping low-frequency oscillation in IBR-dominated networks

2024

Conference Publication

Analysing harmonic resonance behaviour of a grid-connected PV plant

Abeysekara, Anuradha, Ekanayake, Chandima and Ma, Hui (2024). Analysing harmonic resonance behaviour of a grid-connected PV plant. 2024 IEEE 34th Australasian Universities Power Engineering Conference (AUPEC), Sydney, Australia, 20-22 November 2024. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/aupec62273.2024.10807515

Analysing harmonic resonance behaviour of a grid-connected PV plant

2024

Conference Publication

Conditioning Characteristics of Vacuum Gaps under Different Breakdown Energy Adjusted by Parallel Capacitors

Li, Yuanzhao, Lei, Ranlu, Deng, Shichen, Ding, Jiangang, Ma, Hui, Liu, Zhiyuan and Geng, Yingsan (2024). Conditioning Characteristics of Vacuum Gaps under Different Breakdown Energy Adjusted by Parallel Capacitors. IEEE. doi: 10.1109/icepe-st61894.2024.10792537

Conditioning Characteristics of Vacuum Gaps under Different Breakdown Energy Adjusted by Parallel Capacitors

2024

Conference Publication

Experimental Study of Vacuum Arc Characteristics of Cu-Cr Alloy Electrode Recorded by Various Wavelength Bandpass Filters

Zhang, Yirui, Cheng, Hao, Yang, Yueheng, Li, Xinquan, Ma, Hui, Liu, Zhiyuan, Geng, Yingsan and Wang, Jianhua (2024). Experimental Study of Vacuum Arc Characteristics of Cu-Cr Alloy Electrode Recorded by Various Wavelength Bandpass Filters. IEEE. doi: 10.1109/icepe-st61894.2024.10792599

Experimental Study of Vacuum Arc Characteristics of Cu-Cr Alloy Electrode Recorded by Various Wavelength Bandpass Filters

2024

Conference Publication

A study of transient electric field distribution of XLPE cable joint in a VSC-HVDC system

Hu, Yuxiao, Ma, Hui, Ekanayake, Chandima, He, Shixiang, Zheng, Linzi and Xu, Yang (2024). A study of transient electric field distribution of XLPE cable joint in a VSC-HVDC system. 2024 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP), Auburn, AL United States, 6 - 9 October 20245. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ceidp61745.2024.10907476

A study of transient electric field distribution of XLPE cable joint in a VSC-HVDC system

2024

Journal Article

On image transformation for partial discharge source identification in vehicle cable terminals of high‐speed trains

Liu, Kai, Jiao, Shibo, Nie, Guangbo, Ma, Hui, Gao, Bo, Sun, Chuanming, Xin, Dongli, Saha, Tapan K. and Wu, Guangning (2024). On image transformation for partial discharge source identification in vehicle cable terminals of high‐speed trains. High Voltage, 9 (5), 1090-1100. doi: 10.1049/hve2.12487

On image transformation for partial discharge source identification in vehicle cable terminals of high‐speed trains

2024

Journal Article

Research on fault diagnosis method of vehicle cable terminal based on time series segmentation for graph neural network model

Liu, Kai, Nie, Guangbo, Jiao, Shibo, Gao, Bo, Ma, Hui, Fu, Jianmin, Mu, Junbin and Wu, Guangning (2024). Research on fault diagnosis method of vehicle cable terminal based on time series segmentation for graph neural network model. Measurement: Journal of the International Measurement Confederation, 237 114999, 1-13. doi: 10.1016/j.measurement.2024.114999

Research on fault diagnosis method of vehicle cable terminal based on time series segmentation for graph neural network model

2024

Journal Article

Investigation of cellulose insulation ageing in transformers retrofilled with ester fluids at different service years

Dixit, Anupam, Ma, Hui, Ekanayake, Chandima, Daghrah, Muhammad and Saha, Tapan Kumar (2024). Investigation of cellulose insulation ageing in transformers retrofilled with ester fluids at different service years. IEEE Transactions on Dielectrics and Electrical Insulation, 31 (4), 2151-2160. doi: 10.1109/tdei.2024.3373557

Investigation of cellulose insulation ageing in transformers retrofilled with ester fluids at different service years

2024

Conference Publication

Cable overvoltage characteristics in bipolar VSC-HVDC configuration with multiple operation modes

Hu, Yuxiao, Ma, Hui, Li, Jiangtao, Xu, Yang, Jin, Yan, Ekanayake, Chandima and Li, Junyao (2024). Cable overvoltage characteristics in bipolar VSC-HVDC configuration with multiple operation modes. 2024 IEEE Power & Energy Society General Meeting (PESGM), Seattle, WA USA, 21-25 July 2024. IEEE. doi: 10.1109/pesgm51994.2024.10761095

Cable overvoltage characteristics in bipolar VSC-HVDC configuration with multiple operation modes

2024

Journal Article

Day-ahead electricity consumption prediction of individual household – capturing peak consumption pattern

Xia, Zhong, Zhang, Ruiyuan, Ma, Hui and Saha, Tapan (2024). Day-ahead electricity consumption prediction of individual household – capturing peak consumption pattern. IEEE Transactions on Smart Grid, 15 (3), 2971-2984. doi: 10.1109/tsg.2023.3332281

Day-ahead electricity consumption prediction of individual household – capturing peak consumption pattern

2024

Conference Publication

An Improved Power Transformer High Frequency Model for Transient Overvoltage Studies

Yao, Shijie, Ma, Hui and Ekanayake, Chandima (2024). An Improved Power Transformer High Frequency Model for Transient Overvoltage Studies. IEEE Computer Society. doi: 10.1109/APPEEC61255.2024.10922309

An Improved Power Transformer High Frequency Model for Transient Overvoltage Studies

2024

Conference Publication

On Deep Learning for Condition Assessment of Power Transformers

Jiang, Hanjun, Ekanayake, Chandima and Ma, Hui (2024). On Deep Learning for Condition Assessment of Power Transformers. IEEE Computer Society. doi: 10.1109/APPEEC61255.2024.10922252

On Deep Learning for Condition Assessment of Power Transformers

2024

Journal Article

Equivalent bandwidth matrix of relative locations: image modeling method for defect degree identification of in-vehicle cable termination

Liu, Kai, Jiao, Shibo, Nie, Guangbo, Ma, Hui, Gao, Bo, Sun, Chuanming, Xin, Dongli, Kumar Saha, Tapan and Wu, Guangning (2024). Equivalent bandwidth matrix of relative locations: image modeling method for defect degree identification of in-vehicle cable termination. IEEE Transactions on Instrumentation and Measurement, 73 2536110. doi: 10.1109/tim.2024.3481567

Equivalent bandwidth matrix of relative locations: image modeling method for defect degree identification of in-vehicle cable termination

2024

Journal Article

On vision transformer for ultra-short-term forecasting of photovoltaic generation using sky images

Xu, Shijie, Zhang, Ruiyuan, Ma, Hui, Ekanayake, Chandima and Cui, Yi (2024). On vision transformer for ultra-short-term forecasting of photovoltaic generation using sky images. Solar Energy, 267 112203, 1-12. doi: 10.1016/j.solener.2023.112203

On vision transformer for ultra-short-term forecasting of photovoltaic generation using sky images

2024

Conference Publication

On Synchro-Waveform Data Analytics for High Impedance Fault Identification in Distribution Networks

Shen, Taolue, Ma, Hui, Ekanayake, Chandima and Jiang, Hanjun (2024). On Synchro-Waveform Data Analytics for High Impedance Fault Identification in Distribution Networks. IEEE Computer Society. doi: 10.1109/APPEEC61255.2024.10922280

On Synchro-Waveform Data Analytics for High Impedance Fault Identification in Distribution Networks

2023

Conference Publication

Transition towards inverter-based generation with VSG control: low frequency instability prospective

Feng, Jiajie, Bai, Feifei, Nadarajah, Mithulananthan and Ma, Hui (2023). Transition towards inverter-based generation with VSG control: low frequency instability prospective. 2023 IEEE International Conference on Energy Technologies for Future Grids (ETFG), Wollongong, NSW, Australia, 3-6 December 2023. Piscataway, NJ, United States: IEEE. doi: 10.1109/etfg55873.2023.10407495

Transition towards inverter-based generation with VSG control: low frequency instability prospective

2023

Journal Article

Characterization of electrical tree initiation and growth in XLPE under harmonic waveforms

Arachchige, Thanuja Gawasingha, Zhong, Xin, Ekanayake, Chandima, Ma, Hui and Saha, Tapan (2023). Characterization of electrical tree initiation and growth in XLPE under harmonic waveforms. IEEE Transactions on Dielectrics and Electrical Insulation, 30 (5), 1974-1982. doi: 10.1109/tdei.2023.3297556

Characterization of electrical tree initiation and growth in XLPE under harmonic waveforms

2023

Other Outputs

Gatton Sky Image and PV Generation 2020

Xu, Shijie and Ma, Hui (2023). Gatton Sky Image and PV Generation 2020. The University of Queensland. (Dataset) doi: 10.48610/bd7e108

Gatton Sky Image and PV Generation 2020

2023

Journal Article

A CVaR-constrained optimal power flow model for wind integrated power systems considering Transmission-side flexibility

You, Lei, Ma, Hui and Kumar Saha, Tapan (2023). A CVaR-constrained optimal power flow model for wind integrated power systems considering Transmission-side flexibility. International Journal of Electrical Power and Energy Systems, 150 109087, 109087. doi: 10.1016/j.ijepes.2023.109087

A CVaR-constrained optimal power flow model for wind integrated power systems considering Transmission-side flexibility

Past funding

  • 2024 - 2025
    Application of Multimodal Sensors to Reduce Transformer Failures
    Schneider Electric (Australia) Pty Limited
    Open grant
  • 2018 - 2020
    Overhead Conductor Condition Monitoring
    Energy Networks Association Limited
    Open grant
  • 2017 - 2020
    Preventing transformer failures caused by silver sulphide
    Energy Networks Association Limited
    Open grant

Availability

Dr Hui Ma is:
Available for supervision

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Available projects

  • Sensing, Signal Processing and Learning for Power System Asset Management

    We are seeking talented PhD candidates to develop sensing, signal processing and machine learning techniques for power system asset management. The objectives of the project include:

    1. To investigate the efficient deployment of an optimal set of sensors to provide sufficient visibility of the condition of power system assets.
    2. To apply compressive sensing techniques for an effective data acquisition while preserving the primary characteristics of measurement data without significant information loss.
    3. To develop novel data analytic techniques for extracting useful information from large datasets and subsequently transforming such information into knowledge regarding the condition of power system asset.
    4. To develop data fusion algorithms to integrate various condition measurement results and all available information and subsequently determining the health status of an asset and predict its remaining useful life.
    5. To deploy the signal acquisition, signal processing, data analytic and information fusion algorithms to field condition monitoring of power system assets.

    It is expected that the techniques developed in this project can assess the condition of power system asset effectively to provide a means for safeguarding the key assets in Australian power system networks. The outcomes of the project will also pave a way for Australian utilities to make their assets more suitable for integration into smart grid environment.

Supervision history

Current supervision

Completed supervision

Enquiries

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