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Professor Feng Liu
Professor

Feng Liu

Email: 
Phone: 
+61 7 336 53982

Overview

Availability

Professor Feng Liu is:
Available for supervision
Media expert

Fields of research

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.

Works

Search Professor Feng Liu’s works on UQ eSpace

544 works between 1997 and 2025

1 - 20 of 544 works

2025

Journal Article

A novel passive shimming optimization method of MRI magnet based on a PSA-SQP hybrid algorithm

Zhao, Jie, Zhu, Minhua, Xia, Ling, Fan, Yifeng and Liu, Feng (2025). A novel passive shimming optimization method of MRI magnet based on a PSA-SQP hybrid algorithm. Scientific Reports, 15 (1) 28419, 1-10. doi: 10.1038/s41598-025-13751-4

A novel passive shimming optimization method of MRI magnet based on a PSA-SQP hybrid algorithm

2025

Journal Article

Passive shimming performance in 3 T MRI systems: Influence of shim parameters under varying magnet field distributions

Liu, Jinhao, Wang, Miutian, Wang, Wenchen, Wang, Yaohui, Yang, Wenhui, Wang, Weimin and Liu, Feng (2025). Passive shimming performance in 3 T MRI systems: Influence of shim parameters under varying magnet field distributions. Journal of Magnetic Resonance, 381 107969, 1-14. doi: 10.1016/j.jmr.2025.107969

Passive shimming performance in 3 T MRI systems: Influence of shim parameters under varying magnet field distributions

2025

Journal Article

Dual-norm optimization for passive shimming in MRI with constraints on field uniformity and harmonic suppression

Wang, Wenchen, Wang, Yaohui, Wei, Riyu, Weber, Ewald and Liu, Feng (2025). Dual-norm optimization for passive shimming in MRI with constraints on field uniformity and harmonic suppression. Medical Physics, 52 (11) e70081, e70081. doi: 10.1002/mp.70081

Dual-norm optimization for passive shimming in MRI with constraints on field uniformity and harmonic suppression

2025

Journal Article

A hybrid gradient coil design method generating ultra-high gradient magnetic field for micro-MRI utilization

He, Hongyan, Wang, Yaohui, Wang, Zheng, Wei, Shufeng, Wang, Huixian, Liu, Feng, Yang, Wenhui and Wang, Qiuliang (2025). A hybrid gradient coil design method generating ultra-high gradient magnetic field for micro-MRI utilization. Review of Scientific Instruments, 96 (10) 104702, 1-8. doi: 10.1063/5.0275023

A hybrid gradient coil design method generating ultra-high gradient magnetic field for micro-MRI utilization

2025

Journal Article

Gradient coil design for a 0.23 T NICU MRI system using an improved two-step Target-Field Method with enhanced linearity and compact design

Liu, Jinhao, Wang, Miutian, Wang, Wenchen, Wang, Yaohui, Wang, Weimin and Liu, Feng (2025). Gradient coil design for a 0.23 T NICU MRI system using an improved two-step Target-Field Method with enhanced linearity and compact design. Journal of Magnetic Resonance, 379 107936, 1-16. doi: 10.1016/j.jmr.2025.107936

Gradient coil design for a 0.23 T NICU MRI system using an improved two-step Target-Field Method with enhanced linearity and compact design

2025

Journal Article

Automatic Magnetic Field Shimming by Spectrum Convergence Method: Evaluation at a 7-T Animal MRI System

Chen, Haoran, Wang, Yaohui, Wang, Wenchen, Wang, Hui, Yang, Wenhui, Wei, Shufeng, Xu, Ce, Chen, Shunzhong, Sun, Jinshui, Li, Liang and Liu, Feng (2025). Automatic Magnetic Field Shimming by Spectrum Convergence Method: Evaluation at a 7-T Animal MRI System. NMR in Biomedicine, 38 (10) e70133, 10. doi: 10.1002/nbm.70133

Automatic Magnetic Field Shimming by Spectrum Convergence Method: Evaluation at a 7-T Animal MRI System

2025

Journal Article

Accelerating multi-directional diffusion MRI through patch-based joint reconstruction

Xu, Zhongbiao, Zhang, Rongli, Huang, Wei, Deng, Guanhua, Liang, Xiaoyun, Guo, Li, Cheng, Junying, Wang, Yaohui, Liu, Feng, Chen, Zhaolin and Chen, Zhifeng (2025). Accelerating multi-directional diffusion MRI through patch-based joint reconstruction. NeuroImage, 318 121413, 121413-318. doi: 10.1016/j.neuroimage.2025.121413

Accelerating multi-directional diffusion MRI through patch-based joint reconstruction

2025

Journal Article

A Cough Detection Method Based on the Conformer-BiLSTM Model

xu, wenlong, Zhang, Hangrui, Pan, Chen, Zhu, Jiangli, Sun, Jianzhong and Liu, Feng (2025). A Cough Detection Method Based on the Conformer-BiLSTM Model. Biomedical Physics & Engineering Express, 11 (5) 055028, 055028. doi: 10.1088/2057-1976/adff8a

A Cough Detection Method Based on the Conformer-BiLSTM Model

2025

Journal Article

Recurrence formula-based automatic gradient eddy current compensation method for a 0.255 T MRI system

Liu, Jinhao, Wang, Miutian, Wang, Wenchen, Wang, Yaohui, Yang, Wenhui, Wang, Weimin and Liu, Feng (2025). Recurrence formula-based automatic gradient eddy current compensation method for a 0.255 T MRI system. Journal of Magnetic Resonance, 380 107951, 107951. doi: 10.1016/j.jmr.2025.107951

Recurrence formula-based automatic gradient eddy current compensation method for a 0.255 T MRI system

2025

Journal Article

An L0‐norm–based method for passive shimming design in MRI: a simulation‐based study

Wang, Wenchen, Wang, Yaohui, Wei, Riyu, Weber, Ewald and Liu, Feng (2025). An L0‐norm–based method for passive shimming design in MRI: a simulation‐based study. NMR in Biomedicine, 38 (8) e70085, 1-8. doi: 10.1002/nbm.70085

An L0‐norm–based method for passive shimming design in MRI: a simulation‐based study

2025

Journal Article

Design, fabrication and test of a lightweight 3.0 T cryogen-free MRI system with GM refrigerator for imaging small animals and materials

Liu, Jinhao, Wang, Miutian, Sun, Youheng, Lin, Kaisheng, Wang, Wenchen, Wang, Yaohui, Wang, Weimin, Wang, Qiuliang and Liu, Feng (2025). Design, fabrication and test of a lightweight 3.0 T cryogen-free MRI system with GM refrigerator for imaging small animals and materials. IEEE Transactions on Biomedical Engineering, 72 (8), 2462-2473. doi: 10.1109/tbme.2025.3544283

Design, fabrication and test of a lightweight 3.0 T cryogen-free MRI system with GM refrigerator for imaging small animals and materials

2025

Journal Article

A magnetically compatible, arbitrary positioning system for accurate spatial mapping of magnetic fields for shimming studies in MRI

Yin, Yiqing, Wang, Wenchen, Zhao, Shihe, Wang, Hui, Cheng, Junsheng, Chen, Shunzhong, Yang, Wenhui, Liu, Feng and Wang, Yaohui (2025). A magnetically compatible, arbitrary positioning system for accurate spatial mapping of magnetic fields for shimming studies in MRI. Magnetic Resonance Letters, 5 (3) 200191, 1-6. doi: 10.1016/j.mrl.2025.200191

A magnetically compatible, arbitrary positioning system for accurate spatial mapping of magnetic fields for shimming studies in MRI

2025

Journal Article

Electrolyte design enabling practical lithium/sulfur batteries via interfacial manipulation and inhibited polysulfide dissolution

Lin, Yilong, Zhang, Zexian, Wu, Junru, Wang, Jiayi, Jia, Yuqing, Jin, Xiaojin, Liu, Feng, Huang, Sheng, Chen, Yanwu and Meng, Yuezhong (2025). Electrolyte design enabling practical lithium/sulfur batteries via interfacial manipulation and inhibited polysulfide dissolution. Journal of Materials Chemistry A, 13 (24), 18793-18799. doi: 10.1039/d4ta08915d

Electrolyte design enabling practical lithium/sulfur batteries via interfacial manipulation and inhibited polysulfide dissolution

2025

Journal Article

The proteome of the late Middle Pleistocene Harbin individual

Fu, Qiaomei, Bai, Fan, Rao, Huiyun, Chen, Shaokun, Ji, Yannan, Liu, Aoran, Bennett, E. Andrew, Liu, Feng and Ji, Qiang (2025). The proteome of the late Middle Pleistocene Harbin individual. Science, 389 (6761), 704-707. doi: 10.1126/science.adu9677

The proteome of the late Middle Pleistocene Harbin individual

2025

Journal Article

Ancient Mitogenomes Reveal the Maternal Genetic History of East Asian Gray Wolves (<i>Canis lupus</i>)

Zhang, Ming, Wang, Caihui, Zheng, Yuyan, Ni, Xijun, Hu, Songmei, Zhuang, Lina, Guo, Mingjian, Dai, Qingyan, Cao, Peng, Ren, Lele, Dong, Guanghui, Yang, Ruowei, Liu, Feng, Feng, Xiaotian, Hou, Hongwei, Wang, Hui, Wang, Weilin, Zhang, Lizhao, Bennett, E. Andrew and Fu, Qiaomei (2025). Ancient Mitogenomes Reveal the Maternal Genetic History of East Asian Gray Wolves (Canis lupus). Integrative Zoology. doi: 10.1111/1749-4877.13005

Ancient Mitogenomes Reveal the Maternal Genetic History of East Asian Gray Wolves (<i>Canis lupus</i>)

2025

Journal Article

Prehistoric genomes from Yunnan reveal ancestry related to Tibetans and Austroasiatic speakers

Wang, Tianyi, Yang, Melinda A., Zhu, Zhonghua, Ma, Minmin, Shi, Han, Speidel, Leo, Min, Rui, Yuan, Haibing, Jiang, Zhilong, Hu, Changcheng, Li, Xiaorui, Zhao, Dongyue, Bai, Fan, Cao, Peng, Liu, Feng, Dai, Qingyan, Feng, Xiaotian, Yang, Ruowei, Wu, Xiaohong, Liu, Xu, Zhang, Ming, Ping, Wanjing, Liu, Yichen, Wan, Yang, Yang, Fan, Zhou, Ranchao, Kang, Lihong, Dong, Guanghui, Stoneking, Mark and Fu, Qiaomei (2025). Prehistoric genomes from Yunnan reveal ancestry related to Tibetans and Austroasiatic speakers. Science, 388 (6750). doi: 10.1126/science.adq9792

Prehistoric genomes from Yunnan reveal ancestry related to Tibetans and Austroasiatic speakers

2025

Journal Article

Frequency-aware diffusion model for multi-modal MRI image synthesis

Jiang, Mingfeng, Jia, Peihang, Huang, Xin, Yuan, Zihan, Ruan, Dongsheng, Liu, Feng and Xia, Ling (2025). Frequency-aware diffusion model for multi-modal MRI image synthesis. Journal of Imaging, 11 (5) 152, 152. doi: 10.3390/jimaging11050152

Frequency-aware diffusion model for multi-modal MRI image synthesis

2025

Journal Article

Cryogen-free superconducting magnetic resonance imaging system: a review

Wang, Yaohui, Wu, Pengfei, Wang, Wenchen, Wang, Hui, Chen, Shunzhong, Sun, Jinshui and Liu, Feng (2025). Cryogen-free superconducting magnetic resonance imaging system: a review. Fundamental Research. doi: 10.1016/j.fmre.2025.05.006

Cryogen-free superconducting magnetic resonance imaging system: a review

2025

Conference Publication

Microwave Imaging Fusion for Brain Tumours Detection

Luo, Xueying, Zhu, Guohun and Liu, Feng (2025). Microwave Imaging Fusion for Brain Tumours Detection. 11th International Symposium on Computational Intelligence and Industrial Applications ISCIIA 2024, Beijing, China, 1–5 November 2024. Singapore: Springer. doi: 10.1007/978-981-96-4756-9_9

Microwave Imaging Fusion for Brain Tumours Detection

2025

Journal Article

Integrated sensors based on low-temperature co-fired ceramic technology for the inside pressure and temperature monitoring of lithium-ion batteries

Han, Wanjia, Ma, Mingsheng, Guo, Yitong, Yang, Zexi, Liu, Zeyan, Liu, Feng, Feng, Jingjing, Zhang, Faqiang, Lyu, Yingchun, Lu, Shigang, Li, Yongxiang, Bian, Jianjiang and Liu, Zhifu (2025). Integrated sensors based on low-temperature co-fired ceramic technology for the inside pressure and temperature monitoring of lithium-ion batteries. Sensors, 25 (7) 2095, 2095. doi: 10.3390/s25072095

Integrated sensors based on low-temperature co-fired ceramic technology for the inside pressure and temperature monitoring of lithium-ion batteries

Funding

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

Supervision

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

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

    Principal Advisor

    Other advisors: Associate Professor Kai-Hsiang Chuang

  • 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

    Combined Compressed sensing and machine learning/deep learning methods for rapid MRI

    Principal Advisor

    Other advisors: Professor Kwun Fong, Associate Professor Henry Marshall, Dr Hongfu Sun

  • 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

    Development of novel deep learning methods for medical imaging

    Associate Advisor

    Other advisors: Dr Nan Ye, Dr Hongfu Sun

  • Doctor Philosophy

    MR image processing through advanced optimisation techniques and deep learning

    Associate Advisor

    Other advisors: Dr Hongfu Sun

  • Doctor Philosophy

    MR image processing through advanced optimisation techniques and deep learning

    Associate Advisor

    Other advisors: Dr Hongfu Sun

  • Doctor Philosophy

    MRI methods development through deep learning

    Associate Advisor

    Other advisors: Dr Hongfu Sun

Completed supervision

Media

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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