Associate Professor Hui Ma
Associate Professor

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

Associate Professor 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

132 works between 1997 and 2026
All (132) Journal Article (61) Other Outputs (2) Conference Publication (66) Book Chapter (3)

121 - 132 of 132 works

2011

Conference Publication

Sensing nodes selection scheme for distributive target tracking in wireless sensor networks

Ma, Hui (2011). Sensing nodes selection scheme for distributive target tracking in wireless sensor networks. 37th Annual Conference of the IEEE Industrial Electronics Society (IECON 2011), Melbourme, Australia, 7-10 November 2011. Piscataway, NJ, United States: I E E E. doi: 10.1109/IECON.2011.6119643

Sensing nodes selection scheme for distributive target tracking in wireless sensor networks

2011

Conference Publication

Evaluating the accuracy of different DGA techniques for improving the transformer oil quality interpretation

Dehghani Ashkezari, Atefeh, Saha, Tapan K., Ekanayake, Chandima and Ma, Hui (2011). Evaluating the accuracy of different DGA techniques for improving the transformer oil quality interpretation. AUPEC 2011: Australasian Universities Power Engineering Conference. Integrating Renewables into the Grid, Brisbane, QLD Australia, 25-28 September 2011. Piscataway, NJ United States: Institute for Electrical and Electronic Engineers.

Evaluating the accuracy of different DGA techniques for improving the transformer oil quality interpretation

2011

Conference Publication

Machine learning techniques for power transformer insulation diagnosis

Ma, Hui, Saha, Tapan K. and Ekanayake, Chandima (2011). Machine learning techniques for power transformer insulation diagnosis. 21st Australasian Universities Power Engineering Conference (AUPEC), 2011, Brisbane, Australia, 25-28 September 2011. Piscataway, NJ, United States: IEEE.

Machine learning techniques for power transformer insulation diagnosis

2010

Conference Publication

Power transformer insulation diagnosis under measurement originated uncertainties

Ma, Hui, Saha, Tapan K. and Ekanayake, Chandima (2010). Power transformer insulation diagnosis under measurement originated uncertainties. IEEE Power and Energy Society 2010 General Meeting, Minneapolis, MN, USA, 25-29 July 2010. Piscataway, NJ, United States: IEEE. doi: 10.1109/PES.2010.5589395

Power transformer insulation diagnosis under measurement originated uncertainties

2010

Conference Publication

Application of polarization based measurement techniques for diagnosis of field transformers

Ekanayake, Chandima, Saha, Tapan K., Ma, Hui and Allan, David (2010). Application of polarization based measurement techniques for diagnosis of field transformers. IEEE Power and Energy Society 2010 General Meeting, Minneapolis, Minnesota, USA, 25 July - 29 July 2010. New York, N.Y.: Institute of Electrical and Electronics Engineers, Inc. : IEEE Power Engineering Society. doi: 10.1109/PES.2010.5589446

Application of polarization based measurement techniques for diagnosis of field transformers

2010

Conference Publication

Past experience and future developments toward the safeguarding of power transformers

Ekanayake, Chandima, Ma, Hui and Saha, Tapan (2010). Past experience and future developments toward the safeguarding of power transformers. 6th International Conference on Electrical and Computer Engineering, ICECE 2010, Dhaka, Bangladesh, 18-20 December 2010. Piscataway, NJ, United States: IEEE. doi: 10.1109/ICELCE.2010.5700682

Past experience and future developments toward the safeguarding of power transformers

2009

Conference Publication

Reliability of dielectric response measurements for estimating moisture in oil impregnated paper insulation

Ekanayake, Chandima, Saha, Tapan, Thomas, Andrew and Ma, Hui (2009). Reliability of dielectric response measurements for estimating moisture in oil impregnated paper insulation. Energy 21C: The 10th International Transmission and Distribution Conference & Exhibition (Electricity and Gas Networks), Melbourne, VIC, Australia, 6-9 September 2009.

Reliability of dielectric response measurements for estimating moisture in oil impregnated paper insulation

2009

Conference Publication

Intelligent framework and techniques for power transformer insulation diagnosis

Ma, H, Saha, T.K., Thomas, A. and Ekanayake, C. (2009). Intelligent framework and techniques for power transformer insulation diagnosis. IEEE Power and Energy Society (PES) 2009 General Meeting, Calgary, Alberta, Canada, 26-30 July 2009. Piscataway, NJ, United States: IEEE. doi: 10.1109/PES.2009.5275876

Intelligent framework and techniques for power transformer insulation diagnosis

2007

Conference Publication

Distributive target tracking in wireless sensor networks under measurement origin uncertainty

Ma, Hui and Ng, Brian W. -H. (2007). Distributive target tracking in wireless sensor networks under measurement origin uncertainty. 3rd Intelligent Sensors, Sensor Networks and Information Processing Conference, Adelaide Australia, Dec 03-06, 2007. NEW YORK: IEEE.

Distributive target tracking in wireless sensor networks under measurement origin uncertainty

2006

Conference Publication

Distributive JPDAF for multi-target tracking in wireless sensor networks

Ma, Hui and Ng, Brian W. -H. (2006). Distributive JPDAF for multi-target tracking in wireless sensor networks. IEEE Region 10 Conference (TENCON 2006), Hong Kong Peoples R China, Nov 14-17, 2006. NEW YORK: QUEENSLAND UNIVERSITY TECHNOLOGY.

Distributive JPDAF for multi-target tracking in wireless sensor networks

2003

Conference Publication

Knowledge discovery application framework for manufacturing execution, diagnosis and optimization

Ma, H, Zhang, JB, Zhao, YZ, Tan, CH and Qu, RT (2003). Knowledge discovery application framework for manufacturing execution, diagnosis and optimization. IEEE International Conference on Industrial Informatics (INDIN 2003), Banff Canada, Aug 21-24, 2003. NEW YORK: IEEE.

Knowledge discovery application framework for manufacturing execution, diagnosis and optimization

1997

Conference Publication

Pattern recognition of PD in large turbine generators with a neural network system

Wu, GG, Xie, HK, Ma, H, Jiang, XW, Chen, ZQ and Sun, DL (1997). Pattern recognition of PD in large turbine generators with a neural network system. 5th International Conference on Properties and Applications of Dielectric Materials, Seoul South Korea, May 25-30, 1997. NEW YORK: I E E E.

Pattern recognition of PD in large turbine generators with a neural network system

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

Associate Professor Hui Ma is:
Available for supervision

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Available projects

  • From Dielectric Strength to Dielectric Intelligence: AI Driven Operational Stress and AI Based Methods for Electrical Insulation in Smart Grids

    This perspective examines the evolving transition from traditional dielectric strength based design and asset management toward dielectric intelligence in smart grids. In this context, artificial intelligence simultaneously introduces new forms of operational stress through increasingly dynamic and data‑driven grid operation, while also providing enabling tools for insulation design, condition monitoring, and digital‑twin‑based assessment. Data‑driven models and emerging large language models are therefore considered as supportive technologies that assist in integrating measurement data, physical models, and engineering workflows, while remaining firmly grounded in established physical principles and validated insulation practices.

Supervision history

Current supervision

Completed supervision

Enquiries

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