Dr Lei Guo
Dr

Lei Guo

Email: 

Background

Lei Guo (Senior Member, IEEE) received the B.Sc. degree in electronics information science and technology from Xidian University, Xi’an, China, in 2010, and the M.Eng. degree in microwave engineering and the Ph.D. degree in electrical engineering from the School of Electrical Engineering and Computer Science (EECS), The University of Queensland, Brisbane, QLD, Australia, in 2012 and 2017, respectively.

His current research interests include electromagnetic medical imaging, biomedical signal processing, physics-guided deep learning in microwave medical imaging, and microwave circuit design for millimetre-wave antenna array systems.

Dr. Guo received the IEEE R.W. P. King Award for the Best Paper published in IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION in 2015, several Best Paper prizes at international conferences, e.g., the Best Paper Prize at the International Symposium on Antennas and Propagation (ISAP), two Australian Research Council (ARC) Discovery Project Grants in 2023 and 2024, and Advanced Queensland Fellowship in 2021.

He is also an Associate Editor of IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING and Microwave and Optical Technology Letters, and a Guest Editor of IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS.

Availability

Dr Lei Guo is:
Available for supervision

Qualifications

  • Bachelor of Science, Xidian University
  • Masters (Coursework) of Electrical Engineering, The University of Queensland
  • Doctor of Philosophy of Electrical Engineering, The University of Queensland

Research impacts

To date, Dr Lei Guo has published 60 journal papers (23 as first author) and 25 conference papers (11 as first author), making significant contributions to electromagnetic theory for microwave medical imaging and sensing, AI-driven microwave medical imaging and signal processing, microwave system design for medical imaging, and magnetic resonance imaging. These publications have received over 1,600 citations, with an h-index of 23 and an i10 index of 34 according to Google Scholar. The quality of his work is further evidenced by the prestigious R. W. King Award for the best paper published in IEEE Transactions on Antennas and Propagation – a leading journal in the field of antennas and propagation – four Best Paper Prizes at top international conferences in microwave and antenna propagation, and two monthly featured and highlight articles in leading Q1-ranked journals.

Search Professor Lei Guo’s works on UQ eSpace

83 works between 2012 and 2026
All (83) Journal Article (63) Other Outputs (2) Conference Publication (18)

21 - 40 of 83 works

2024

Journal Article

Clutter removal for microwave head imaging via self-supervised deep learning techniques

Lai, Wei-chung, Guo, Lei, Bialkowski, Konstanty, Abbosh, Amin and Bialkowski, Alina (2024). Clutter removal for microwave head imaging via self-supervised deep learning techniques. IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology, 8 (4), 384-392. doi: 10.1109/jerm.2024.3409846

Clutter removal for microwave head imaging via self-supervised deep learning techniques

2024

Conference Publication

Dual-band uniplanar crossover for LEO SATCOM systems

Zhou, Haoyu, Fumeaux, Christophe, Guo, Lei and Abbosh, Amin (2024). Dual-band uniplanar crossover for LEO SATCOM systems. 2024 IEEE Asia-Pacific Microwave Conference (APMC), Bali, Indonesia, 17-20 November 2024. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/apmc60911.2024.10867606

Dual-band uniplanar crossover for LEO SATCOM systems

2024

Journal Article

Synthetic microwave focusing techniques for medical imaging: fundamentals, limitations, and challenges

Abbosh, Younis M., Sultan, Kamel, Guo, Lei and Abbosh, Amin (2024). Synthetic microwave focusing techniques for medical imaging: fundamentals, limitations, and challenges. Biosensors, 14 (10) 498, 498. doi: 10.3390/bios14100498

Synthetic microwave focusing techniques for medical imaging: fundamentals, limitations, and challenges

2024

Conference Publication

Attention U-net for binary mask generation in medical microwave imaging

Yang, Yankai, Xue, Fei, Guo, Lei and Abbosh, Amin (2024). Attention U-net for binary mask generation in medical microwave imaging. 2024 IEEE International Symposium on Antennas and Propagation and INC/USNC‐URSI Radio Science Meeting (AP-S/INC-USNC-URSI), Firenze, Italy, 14-19 July 2024. Piscataway, NJ, United States: IEEE. doi: 10.1109/ap-s/inc-usnc-ursi52054.2024.10686600

Attention U-net for binary mask generation in medical microwave imaging

2024

Conference Publication

Calibrated multi-frequency microwave tomography for clinical head imaging

Guo, L., Bialkowski, K., Cook, D., Crozier, S. and Abbosh, A. (2024). Calibrated multi-frequency microwave tomography for clinical head imaging. 2024 IEEE International Symposium on Antennas and Propagation and INC/USNC‐URSI Radio Science Meeting (AP-S/INC-USNC-URSI), Florence, Italy, Piscataway, NJ, United States. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ap-s/inc-usnc-ursi52054.2024.10685926

Calibrated multi-frequency microwave tomography for clinical head imaging

2024

Conference Publication

Evaluation of fully convolutional networks for dielectric profile reconstruction in medical microwave imaging

Xue, Fei, Guo, Lei, Bialkowski, Alina and Abbosh, Amin (2024). Evaluation of fully convolutional networks for dielectric profile reconstruction in medical microwave imaging. 2024 IEEE International Symposium on Antennas and Propagation and INC/USNC‐URSI Radio Science Meeting (AP-S/INC-USNC-URSI), Firenze, Italy, 14-19 July 2024. Piscataway, NJ, United States: IEEE. doi: 10.1109/ap-s/inc-usnc-ursi52054.2024.10686390

Evaluation of fully convolutional networks for dielectric profile reconstruction in medical microwave imaging

2024

Journal Article

Reflection phase shifter topology with 180° tuning range using impedance transforming coupler and series resonant load for K-band phased arrays

Zhou, Haoyu, Guo, Lei, Fumeaux, Christophe and Abbosh, Amin (2024). Reflection phase shifter topology with 180° tuning range using impedance transforming coupler and series resonant load for K-band phased arrays. IEEE Transactions on Components, Packaging and Manufacturing Technology, 14 (7), 1254-1260. doi: 10.1109/tcpmt.2024.3410181

Reflection phase shifter topology with 180° tuning range using impedance transforming coupler and series resonant load for K-band phased arrays

2024

Journal Article

Clinical electromagnetic brain scanner

Abbosh, Amin, Bialkowski, Konstanty, Guo, Lei, Al-Saffar, Ahmed, Zamani, Ali, Trakic, Adnan, Brankovic, Aida, Bialkowski, Alina, Zhu, Guohun, Cook, David and Crozier, Stuart (2024). Clinical electromagnetic brain scanner. Scientific Reports, 14 (1) 5760, 1-16. doi: 10.1038/s41598-024-55360-7

Clinical electromagnetic brain scanner

2024

Journal Article

Compact dual-polarized cavity-backed antenna with wideband performance for deep torso imaging

Mousavi, Seyed Mohammad Hadi, Moosazadeh, Mahdi, Guo, Lei and Abbosh, Amin M. (2024). Compact dual-polarized cavity-backed antenna with wideband performance for deep torso imaging. IEEE Transactions on Antennas and Propagation, 72 (3), 2217-2227. doi: 10.1109/tap.2024.3353331

Compact dual-polarized cavity-backed antenna with wideband performance for deep torso imaging

2024

Journal Article

Dual-sense circularly polarized substrate integrated waveguide antenna for deep torso imaging

Mousavi, Seyed Mohammad Hadi, Sultan, Kamel, Guo, Lei, Janani, Azin S., Bialkowski, Konstanty and Abbosh, Amin M. (2024). Dual-sense circularly polarized substrate integrated waveguide antenna for deep torso imaging. IEEE Transactions on Antennas and Propagation, 73 (1), 1-1. doi: 10.1109/tap.2024.3509212

Dual-sense circularly polarized substrate integrated waveguide antenna for deep torso imaging

2024

Journal Article

Transfer deep learning for dielectric profile reconstruction in microwave medical imaging

Xue, Fei, Guo, Lei, Bialkowski, Alina and Abbosh, Amin M. (2024). Transfer deep learning for dielectric profile reconstruction in microwave medical imaging. IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology, 8 (4), 344-354. doi: 10.1109/jerm.2024.3402048

Transfer deep learning for dielectric profile reconstruction in microwave medical imaging

2024

Journal Article

Asymmetrical planar folded dipole antennas for human body MRI at 7 T

Chen, Haiwei, Guo, Lei, Lou, Feiyang, Gao, Yang, Quan, Zhiyan, Liu, Chunyi, Boulant, Nicolas, Liu, Feng and Zhang, Xiaotong (2024). Asymmetrical planar folded dipole antennas for human body MRI at 7 T. IEEE Transactions on Antennas and Propagation, PP (99), 1-14. doi: 10.1109/tap.2024.3513639

Asymmetrical planar folded dipole antennas for human body MRI at 7 T

2023

Journal Article

Training universal deep-learning networks for electromagnetic medical imaging using a large database of randomized objects

Xue, Fei, Guo, Lei, Bialkowski, Alina and Abbosh, Amin (2023). Training universal deep-learning networks for electromagnetic medical imaging using a large database of randomized objects. Sensors, 24 (1) 8, 1-8. doi: 10.3390/s24010008

Training universal deep-learning networks for electromagnetic medical imaging using a large database of randomized objects

2023

Journal Article

Mechanical properties and wound healing potential of bacterial cellulose-xyloglucan-dextran hydrogels

Chen, Si-Qian, Liao, Qiudong, Meldrum, Oliver W., Guo, Lei, Wang, Kai, Zhang, Shuyan, Liu, Yujia, Chen, Xu, Zhu, Jie and Li, Lin (2023). Mechanical properties and wound healing potential of bacterial cellulose-xyloglucan-dextran hydrogels. Carbohydrate Polymers, 321 121268, 121268. doi: 10.1016/j.carbpol.2023.121268

Mechanical properties and wound healing potential of bacterial cellulose-xyloglucan-dextran hydrogels

2023

Journal Article

An explainable deep learning method for microwave head stroke localization

Lai, Wei-chung, Guo, Lei, Bialkowski, Konstanty and Bialkowski, Alina (2023). An explainable deep learning method for microwave head stroke localization. IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology, 7 (4), 336-343. doi: 10.1109/jerm.2023.3287681

An explainable deep learning method for microwave head stroke localization

2023

Conference Publication

Microwave imaging using cascaded convolutional neural networks

Xue, Fei, Guo, Lei and Abbosh, Amin (2023). Microwave imaging using cascaded convolutional neural networks. 5th Australian Microwave Symposium (AMS), Melbourne, Australia, 16-17 February 2023. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ams57822.2023.10062327

Microwave imaging using cascaded convolutional neural networks

2023

Conference Publication

Liquid crystal tunable stripline phase shifter

Zhou, Haoyu, Guo, Lei and Abbosh, Amin (2023). Liquid crystal tunable stripline phase shifter. 5th Australian Microwave Symposium (AMS), Melbourne, Australia, 16-17 February 2023. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ams57822.2023.10062318

Liquid crystal tunable stripline phase shifter

2023

Journal Article

Brain injury localization and size estimation using electromagnetic symmetric crossing lines method

Zhu, Guohun, Bialkowski, Alina, Crozier, Stuart, Guo, Lei, Nguyen, Phong, Stancombe, Anthony and Abbosh, Amin (2023). Brain injury localization and size estimation using electromagnetic symmetric crossing lines method. IEEE Transactions on Instrumentation and Measurement, 72 2521011, 1-1. doi: 10.1109/tim.2023.3295014

Brain injury localization and size estimation using electromagnetic symmetric crossing lines method

2022

Journal Article

Stroke diagnosis using microwave techniques: review of systems and algorithms

Guo, Lei, Alqadami, Abdulrahman S. M. and Abbosh, Amin (2022). Stroke diagnosis using microwave techniques: review of systems and algorithms. IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology, 7 (2), 122-14. doi: 10.1109/jerm.2022.3227724

Stroke diagnosis using microwave techniques: review of systems and algorithms

2022

Journal Article

Adaptive clustering distorted born iterative method for microwave brain tomography with stroke detection and classification

Guo, Lei, Khosravi-Farsani, Mojtaba, Stancombe, Anthony, Bialkowski, Konstanty and Abbosh, Amin (2022). Adaptive clustering distorted born iterative method for microwave brain tomography with stroke detection and classification. IEEE Transactions on Biomedical Engineering, 69 (4), 1512-1523. doi: 10.1109/tbme.2021.3122113

Adaptive clustering distorted born iterative method for microwave brain tomography with stroke detection and classification

Current funding

  • 2025 - 2029
    Realtime Three-Dimensional Near-Field Microwave Imaging System
    ARC Discovery Projects
    Open grant
  • 2024 - 2027
    Next-Generation Solvers for Complex Microwave Engineering Problems
    ARC Discovery Projects
    Open grant

Past funding

  • 2025 - 2026
    Strengthen Teaching and Learning Through Research and Innovation: Upskilling People and Process
    Commonwealth Department of Foreign Affairs & Trade
    Open grant
  • 2021 - 2023
    Novel techniques for monitoring and classifying brain stroke
    Advance Queensland Industry Research Fellowships
    Open grant
  • 2019 - 2020
    Design of a Novel Radio-Frequency System for Ultra-High Field MRI
    UQ Early Career Researcher
    Open grant
  • 2018 - 2025
    Development of metamaterials in ultra-highfield MRI system
    Research Donation Generic
    Open grant
  • 2017 - 2018
    Portable microwave brain scanner
    UniQuest Pty Ltd
    Open grant

Availability

Dr Lei Guo is:
Available for supervision

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Available projects

  • Real-time, three-dimensional, and super-resolution electromagnetic medical imaging

    This project aims to develop a prototype electromagnetic (EM) imaging system that demonstrates the potential to advance the underlying physical mechanisms and elevate the imaging quality of electromagnetic imaging to the next level. We will seek a solution to a prominent research question: Can real-time imaging with super-resolution performance be achieved by reformulating the fundamental physical principles of EM imaging?

    You will develop a physics-guided, deep learning-based imaging algorithm to generate super-resolution images in real-time. An imaging platform will then be designed and constructed to experimentally validate the developed algorithm in several applications, including medical imaging, infrastructure inspection, and body imaging for surveillance.

Supervision history

Current supervision

Completed supervision

Enquiries

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