Professor Feng Liu
Professor

Feng Liu

Email: 
Phone: 
+61 7 336 53982

Availability

Professor Feng Liu is:
Available for supervision
Media expert

Fields of research

Biomedical engineering

Qualifications

  • Bachelor of Engineering, Shandong University (山东大学)
  • Masters (Coursework) of Science, Shandong University (山东大学)
  • Doctor of Philosophy, Zhejiang University

Research interests

  • Research interests

    My research lies in medical imaging, with the focus on magnetic resonance imaging (MRI) hardware design and electromagnetic analysis + cardiac electrical function imaging. My current research program includes: (1) Magnetic Resonance Engineering (Electromagnetic Analysis and Design); (2) Magnetic Resonance Imaging (MRI Image reconstruction, including parallel imaging, compressed sensing, etc.); (3) Bioelectromagnetism (AI-based ECG; TMS designs); (4) Computational Electromagnetics (in particular, Finite-difference Time-domain (FDTD)); (5) Engineering Optimization; (6) High-performance Parallel Computing (in particular, GPU computing). (7) Machine learning/deep learning based medical imaging. I am currently recruiting graduate students. Check out Available Projects for details. Open to both Domestic and International students currently onshore.

Search Professor Feng Liu’s works on UQ eSpace

590 works between 1997 and 2026
All (590) Journal Article (403) Other Outputs (3) Conference Publication (184)

1 - 20 of 590 works

2026

Journal Article

SHCRGuard: Security risk analysis of self-hosted CI/CD runners in GitHub Actions

Shi, Pengfei, Huang, Jiaqi, Xu, Yifan, Chen, Jinfu, Lu, Jie, Qi, Fangyuan, Peng, Hanzhong, Chen, Huashan and Liu, Feng (2026). SHCRGuard: Security risk analysis of self-hosted CI/CD runners in GitHub Actions. Journal of Systems and Software, 241 113018, 113018. doi: 10.1016/j.jss.2026.113018

SHCRGuard: Security risk analysis of self-hosted CI/CD runners in GitHub Actions

2026

Journal Article

Employing ZIF-8@PDA nanocomposite to enhance corrosion resistance of low-temperature zinc phosphate coatings

Huang, Haowei, Wu, Yuxuan, Hao, Jiaying, Zhu, Zhenyi, Chen, Yunya, Xu, Jieming, Mo, Jing, Lin, Daocong, Chen, Junhua, Liu, Feng, Chen, Yanwu and Zhang, Xinya (2026). Employing ZIF-8@PDA nanocomposite to enhance corrosion resistance of low-temperature zinc phosphate coatings. Colloids and Surfaces A: Physicochemical and Engineering Aspects, 747 140978, 1-11. doi: 10.1016/j.colsurfa.2026.140978

Employing ZIF-8@PDA nanocomposite to enhance corrosion resistance of low-temperature zinc phosphate coatings

2026

Journal Article

Small-bore gradient coil design with plate-rolling error correction for use in micro-MRI

Zhou, Guyue, Wang, Yaohui, Wang, Wenchen, Yang, Wenhui, Miao, Haotian, Song, Xiaowei, Chen, Shunzhong, Wang, Hui, Song, Yunxing and Liu, Feng (2026). Small-bore gradient coil design with plate-rolling error correction for use in micro-MRI. Magnetic Resonance Imaging, 132 110701, 1-9. doi: 10.1016/j.mri.2026.110701

Small-bore gradient coil design with plate-rolling error correction for use in micro-MRI

2026

Journal Article

Enhancing the corrosion resistance of zinc phosphate coatings on Q235 mild steel via acid-resistant UIO-66 metal–organic framework

Huang, Haowei, Xu, Jieming, Lin, Daocong, Mo, Jing, Chen, Zhengwei, Zhao, Menglin, Mai, Qiqi, Lin, Yifan, Liu, Feng, Chen, Junhua, Chen, Yanwu and Zhang, Xinya (2026). Enhancing the corrosion resistance of zinc phosphate coatings on Q235 mild steel via acid-resistant UIO-66 metal–organic framework. Surfaces and Interfaces, 97 110040, 110040. doi: 10.1016/j.surfin.2026.110040

Enhancing the corrosion resistance of zinc phosphate coatings on Q235 mild steel via acid-resistant UIO-66 metal–organic framework

2026

Journal Article

Advancing quantitative susceptibility mapping with 2.5D diffusion models for rapid intracranial hemorrhage quantification

Xiong, Zhuang, Gao, Yang, Liu, Feng, Emery, Derek, Butcher, Ken, Wilman, Alan H. and Sun, Hongfu (2026). Advancing quantitative susceptibility mapping with 2.5D diffusion models for rapid intracranial hemorrhage quantification. Magnetic Resonance in Medicine, 96 (2), 596-610. doi: 10.1002/mrm.70358

Advancing quantitative susceptibility mapping with 2.5D diffusion models for rapid intracranial hemorrhage quantification

2026

Journal Article

Magnetic resonance imaging and linear accelerator hybrid instrument technology: magnet, accelerator, treatment plan and medical applications

Wang, Yaohui, Liu, Zhan, Wang, Wenchen, Chen, Shunzhong, Wang, Hui, Sun, Wanshuo, Yang, Wenhui and Liu, Feng (2026). Magnetic resonance imaging and linear accelerator hybrid instrument technology: magnet, accelerator, treatment plan and medical applications. Superconductor Science and Technology, 39 (7), 073002-7. doi: 10.1088/1361-6668/ae896c

Magnetic resonance imaging and linear accelerator hybrid instrument technology: magnet, accelerator, treatment plan and medical applications

2026

Journal Article

Paleogenomics retraces the ancient population history of Southwestern East Asia for the past 12,000 years

Bai, Fan, Zhang, Xinglong, Fu, Yongxu, Lu, Hongliang, Li, Fei, Bennett, E Andrew, Pei, Shuwen, Cao, Peng, Dai, Qingyan, Liu, Feng, Feng, Xiaotian, Zhang, Ming, Wang, Wenjun, Li, Fajun, Zhang, Ganyu, Ping, Wanjing, Liu, Tianxiang and Fu, Qiaomei (2026). Paleogenomics retraces the ancient population history of Southwestern East Asia for the past 12,000 years. National Science Review nwag398. doi: 10.1093/nsr/nwag398

Paleogenomics retraces the ancient population history of Southwestern East Asia for the past 12,000 years

2026

Journal Article

TTP-SSFL: test-time personalization self-supervised federated learning for accelerating MR image reconstruction

Geng, Chenghu, Jiang, Mingfeng, Ruan, Dongsheng, Yu, Chengjin, Sun, Hong, Liu, Feng, Xia, Ling and Yang, Guang (2026). TTP-SSFL: test-time personalization self-supervised federated learning for accelerating MR image reconstruction. IEEE Transactions on Neural Networks and Learning Systems. doi: 10.1109/tnnls.2026.3703424

TTP-SSFL: test-time personalization self-supervised federated learning for accelerating MR image reconstruction

2026

Journal Article

Robust magnetic field homogeneity enhancement via local passive shimming in a superconducting magnet for animal MRI

Chen, Haoran, Wang, Yaohui, Wang, Wenchen, Wang, Hui, Yang, Wenhui, Wei, Shufeng, Xu, Ce, Chen, Shunzhong, Liu, Jianhua, Sun, Jinshui, Li, Liang and Liu, Feng (2026). Robust magnetic field homogeneity enhancement via local passive shimming in a superconducting magnet for animal MRI. NMR in Biomedicine, 39 (6) e70298. doi: 10.1002/nbm.70298

Robust magnetic field homogeneity enhancement via local passive shimming in a superconducting magnet for animal MRI

2026

Journal Article

Actively shielded gradient coil design for an all-superconducting planar MRI system using progressively-enhanced shielding constraints

Yin, Yiqing, Wang, Wenchen, Zhou, Guyue, Miao, Haotian, Wang, Weimin, Wang, Zheng, Yang, Wenhui, Liu, Feng and Wang, Yaohui (2026). Actively shielded gradient coil design for an all-superconducting planar MRI system using progressively-enhanced shielding constraints. Magnetic Resonance Imaging, 129 110654, 1-7. doi: 10.1016/j.mri.2026.110654

Actively shielded gradient coil design for an all-superconducting planar MRI system using progressively-enhanced shielding constraints

2026

Journal Article

Comparison of Passive Shimming Strategies: Overall versus Odd-Even Shim Tray Operation in a 3T Animal MRI Superconducting Magnet

Miao, Haotian, Wang, Wenchen, Zhou, Guyue, Chen, Shunzhong, Wang, Hui, Yang, Wenhui, Wang, Zheng, Chen, Haoran, Liu, Feng, Song, Xiaowei and Wang, Yaohui (2026). Comparison of Passive Shimming Strategies: Overall versus Odd-Even Shim Tray Operation in a 3T Animal MRI Superconducting Magnet. IEEE Transactions on Applied Superconductivity, 36 (4) 4401707, 4401707-4401707. doi: 10.1109/tasc.2026.3690039

Comparison of Passive Shimming Strategies: Overall versus Odd-Even Shim Tray Operation in a 3T Animal MRI Superconducting Magnet

2026

Conference Publication

Design of Superconducting Shim Coils for Extremely-High-Field NMR Magnets Using Bi-2212 Wires

Miao, Haotian, Zhou, Guyue, Chen, Haoran, Song, Xiaowei, Wang, Wenchen, Liu, Feng, Chen, Shunzhong, Yang, Wenhui and Wang, Yaohui (2026). Design of Superconducting Shim Coils for Extremely-High-Field NMR Magnets Using Bi-2212 Wires. IEEE. doi: 10.1109/cieec69682.2026.11572305

Design of Superconducting Shim Coils for Extremely-High-Field NMR Magnets Using Bi-2212 Wires

2026

Journal Article

Highly undersampled MRI reconstruction via a single posterior sampling of diffusion models

Liu, Jin, Lin, Qing, Xiong, Zhuang, Shan, Shanshan, Liu, Chunyi, Li, Min, Liu, Feng, Bruce Pike, G., Sun, Hongfu and Gao, Yang (2026). Highly undersampled MRI reconstruction via a single posterior sampling of diffusion models. IEEE Transactions on Medical Imaging, 45 (5), 2414-2428. doi: 10.1109/tmi.2026.3654585

Highly undersampled MRI reconstruction via a single posterior sampling of diffusion models

2026

Journal Article

Bioinspired triple-synergistic enhancement and machine learning optimization for ultra-strong polyvinyl alcohol hydrogels

Lu, Ran, Ning, Huiming, Wu, Xiaopeng, Wang, Shu, Xiang, Chenxing, Lee, Alamusi, Hu, Ning, Zhao, Libin, Jiao, Fuli, Shi, Xuewei, Liu, Feng, Zou, Rui and Wen, Jie (2026). Bioinspired triple-synergistic enhancement and machine learning optimization for ultra-strong polyvinyl alcohol hydrogels. Nano Materials Science. doi: 10.1016/j.nanoms.2026.03.016

Bioinspired triple-synergistic enhancement and machine learning optimization for ultra-strong polyvinyl alcohol hydrogels

2026

Journal Article

Passive shimming of a 7T cryogen-free MRI superconducting magnet via iron strip arrangement

Zhou, Guyue, Wang, Yaohui, Wu, Pengfei, Song, Yunxing, Liu, Feng, Song, Xiaowei and Wang, Qiuliang (2026). Passive shimming of a 7T cryogen-free MRI superconducting magnet via iron strip arrangement. IEEE Transactions on Applied Superconductivity, 36 (3) 4401006, 1-6. doi: 10.1109/tasc.2025.3636119

Passive shimming of a 7T cryogen-free MRI superconducting magnet via iron strip arrangement

2026

Journal Article

Evolution of the invariants of the velocity gradient tensor in a spatially transitional channel flow

Yang, Ze, Li, Jian, Li, Feng, Xie, Pengyong, Ma, Yuemin, Liu, Feng and Fang, Jian (2026). Evolution of the invariants of the velocity gradient tensor in a spatially transitional channel flow. Theoretical and Applied Mechanics Letters 100704. doi: 10.1016/j.taml.2026.100704

Evolution of the invariants of the velocity gradient tensor in a spatially transitional channel flow

2026

Conference Publication

Adaptive Gate-Aware Mamba Networks for Magnetic Resonance Fingerprinting

Ding, Tianyi, Chen, Hongli, Gao, Yang, Liu, Feng, Cloos, Martijn A. and Sun, Hongfu (2026). Adaptive Gate-Aware Mamba Networks for Magnetic Resonance Fingerprinting. IEEE. doi: 10.1109/isbi61048.2026.11515932

Adaptive Gate-Aware Mamba Networks for Magnetic Resonance Fingerprinting

2026

Journal Article

DDMamba: a dual-domain Mamba for multi-modal magnetic resonance imaging reconstruction with Fourier fusion

Lin, Zhijin, Yang, Jie, Yu, Teng, Chi, Jieru and Liu, Feng (2026). DDMamba: a dual-domain Mamba for multi-modal magnetic resonance imaging reconstruction with Fourier fusion. Magnetic Resonance in Medicine, 95 (3), 1572-1582. doi: 10.1002/mrm.70148

DDMamba: a dual-domain Mamba for multi-modal magnetic resonance imaging reconstruction with Fourier fusion

2026

Journal Article

Theory and validation of a novel image reconstruction method applied to a rotating radio frequency coil

West, Lachlan, Phair, Andrew, Li, Mingyan, Brideson, Michael, Bassom, Andrew P. and Liu, Feng (2026). Theory and validation of a novel image reconstruction method applied to a rotating radio frequency coil. Applied Mathematical Modelling, 151 (B) 116522, 1-19. doi: 10.1016/j.apm.2025.116522

Theory and validation of a novel image reconstruction method applied to a rotating radio frequency coil

2026

Journal Article

GL-mamba-net: a magnetic resonance imaging restoration network with global-local mamba

Liang, Ke, Lin, Zhijin, Yang, Jie, Yu, Teng, Chi, Jieru and Liu, Feng (2026). GL-mamba-net: a magnetic resonance imaging restoration network with global-local mamba. Magnetic Resonance Imaging, 126 110574. doi: 10.1016/j.mri.2025.110574

GL-mamba-net: a magnetic resonance imaging restoration network with global-local mamba

Current funding

  • 2024 - 2027
    Quantum-Enabled Low-Field Magnetic Resonance Imaging for High-Performance Sport
    Quantum 2032 Challenge Program
    Open grant
  • 2024 - 2026
    Disambiguating Parkinson's disease from disorders with mimicking symptoms using ultra-high-field (7 Tesla) multi-modal MRI
    NHMRC IDEAS Grants
    Open grant
  • 2023 - 2026
    Tissue Bio-physicochemical Quantification Using Magnetic Resonance Imaging
    ARC Discovery Projects
    Open grant

Past funding

  • 2023 - 2024
    Versatile Physical Property Measurement System for South-East Queensland (ARC LIEF administered by Queensland University of Technology)
    Queensland University of Technology
    Open grant
  • 2022 - 2025
    Evaluation of 7T 8-channel MRI coil for imaging of the human spine
    Aix-Marseille University
    Open grant
  • 2018 - 2022
    Dielectric contrast imaging for 7 Tesla Magnetic Resonance applications
    ARC Discovery Projects
    Open grant
  • 2016 - 2020
    Rotating Radiofrequency Phased-array for 7 Tesla Magnetic Resonance Imaging
    ARC Discovery Projects
    Open grant
  • 2014 - 2016
    Advanced Magnetic Resonance Imaging at 7 Tesla: Resolving the fundamental radiofrequency field-tissue interaction problem at ultra-high field
    ARC Discovery Projects
    Open grant
  • 2013 - 2016
    Heteronuclear parallel imaging and spectroscopy for Magnetic Resonance
    ARC Linkage Projects
    Open grant
  • 2013 - 2016
    Real-time cardiac magnetic resonance imaging: a compressed-sensing framework incorporating sensor design and multidimensional signal reconstruction
    ARC Discovery Projects
    Open grant
  • 2010 - 2012
    Solutions for reducing magnetic resonance image degradations and tissue heating at high frequencies
    ARC Discovery Projects
    Open grant
  • 2010
    UQ Travel Awards #2 - Feng LIU
    UQ Travel Grants Scheme
    Open grant
  • 2008 - 2011
    Transceive Phased Arrays for Parallel Imaging in High Field Magnetic Resonance Microscopy.
    ARC Linkage Projects
    Open grant
  • 2007 - 2011
    UQ Mid-Career Research Fellowship Start-Up Funding: Bioelectromagnetics and medical diagnostics
    UQ Mid-Career Research Fellowship
    Open grant
  • 2005 - 2007
    Cardiac electrographic modelling and analysis
    ARC Discovery Projects
    Open grant

Availability

Professor Feng Liu is:
Available for supervision

Looking for a supervisor? Read our advice on how to choose a supervisor.

Available projects

  • AI-based Magnetic Resonance Imaging

  • Novel Hardware design in MRI

  • AI-based ECG study

  • Computational Electromagnetics and Its Application in MRI

  • Novel Imaging Methods in MRI

Supervision history

Current supervision

  • Doctor Philosophy

    AI-empowered super-resolution MRI

    Principal Advisor

  • Doctor Philosophy

    A novel radio-frequency (RF) antenna system for X-nuclei magnetic resonance imaging

    Principal Advisor

  • Doctor Philosophy

    Radio-frequency system design for magnetic resonance imaging at 7 Tesla

    Principal Advisor

  • Doctor Philosophy

    Passive shimming and electromagnetic contrast imaging at ultrahigh field MRI

    Principal Advisor

  • Doctor Philosophy

    Diagnosis of Arrhythmia using ECG signal classification by neural networks

    Principal Advisor

  • Doctor Philosophy

    Improving Artificial Intelligence And Deep Learning Algorithms In Super-Resolution Imaging

    Principal Advisor

  • Doctor Philosophy

    MR image processing through advanced optimisation techniques and deep learning

    Associate Advisor

    Other advisors: Dr Hongfu Sun

  • Doctor Philosophy

    Development of novel deep learning methods for medical imaging

    Associate Advisor

    Other advisors: Dr Nan Ye, Dr Hongfu Sun

Completed supervision

Enquiries

Contact Professor Feng Liu directly for media enquiries about:

  • BioElectromagnetics
  • BioMechanical Engineering
  • Biomedical Engineering
  • Computational Electromagnetics
  • Engineering optimisation
  • Magnetic Resonance Imaging (MRI)

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