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)

1 - 20 of 83 works

2026

Journal Article

Synthetic expansion of blood dielectric spectra at microwave frequencies using data-driven methods

Alhummada, Iman, Bialkowski, Alina, Guo, Lei, Villena Gonzales, Wilbert, Deriche, Mohamed and Abbosh, Amin (2026). Synthetic expansion of blood dielectric spectra at microwave frequencies using data-driven methods. Sensors, 26 (11) 3580, 1-19. doi: 10.3390/s26113580

Synthetic expansion of blood dielectric spectra at microwave frequencies using data-driven methods

2026

Journal Article

Spectrum-modulated frequency-to-time domain signal conversion for microwave imaging

Guo, L., Sultan, K. and Abbosh, A. (2026). Spectrum-modulated frequency-to-time domain signal conversion for microwave imaging. IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology, 10 (2), 273-278. doi: 10.1109/jerm.2026.3675216

Spectrum-modulated frequency-to-time domain signal conversion for microwave imaging

2026

Journal Article

Wideband in-phase power divider with configurable division ratios for K- and Ka-band LEO satellite systems

Zhou, Haoyu, Guo, Lei, Fumeaux, Christophe and Abbosh, Amin (2026). Wideband in-phase power divider with configurable division ratios for K- and Ka-band LEO satellite systems. IEEE Transactions on Microwave Theory and Techniques, 74 (6), 5372-5383. doi: 10.1109/tmtt.2026.3672873

Wideband in-phase power divider with configurable division ratios for K- and Ka-band LEO satellite systems

2026

Journal Article

Dual-band phase shifter with independent phase control and diplexer functionality for K/Ka-band LEO satellite systems

Zhou, Haoyu, Guo, Lei, Fumeaux, Christophe and Abbosh, Amin (2026). Dual-band phase shifter with independent phase control and diplexer functionality for K/Ka-band LEO satellite systems. IEEE Transactions on Circuits and Systems I: Regular Papers, 73 (6), 4097-4109. doi: 10.1109/tcsi.2025.3645211

Dual-band phase shifter with independent phase control and diplexer functionality for K/Ka-band LEO satellite systems

2026

Journal Article

Medical microwave imaging using physics-guided deep learning part 2: the inverse solver

Guo, L., Bialkowski, A. and Abbosh, A. (2026). Medical microwave imaging using physics-guided deep learning part 2: the inverse solver. IEEE Transactions on Medical Imaging, 45 (5), 2295-2305. doi: 10.1109/tmi.2026.3653974

Medical microwave imaging using physics-guided deep learning part 2: the inverse solver

2026

Journal Article

Mitigating mesh-induced errors in time-domain simulation of medical microwave imaging

Guo, L., Nguyen-Trong, N., Rezaeieh, S. Ahdi, Mousavi, SM-Hadi and Abbosh, A. (2026). Mitigating mesh-induced errors in time-domain simulation of medical microwave imaging. IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology, 10 (1), 25-34. doi: 10.1109/jerm.2025.3611942

Mitigating mesh-induced errors in time-domain simulation of medical microwave imaging

2026

Conference Publication

Deep Learning with Multi-Block Pyramid Sparse Convolution-Attention Network for Enhanced Microwave Imaging

Xue, Fei, Guo, Lei, Bialkowski, Alina and Abbosh, Amin (2026). Deep Learning with Multi-Block Pyramid Sparse Convolution-Attention Network for Enhanced Microwave Imaging. IEEE. doi: 10.1109/asa69049.2026.11466990

Deep Learning with Multi-Block Pyramid Sparse Convolution-Attention Network for Enhanced Microwave Imaging

2026

Journal Article

Medical microwave imaging using physics-guided deep learning part 1: the forward solver

Guo, L., Bialkowski, A. and Abbosh, A. (2026). Medical microwave imaging using physics-guided deep learning part 1: the forward solver. IEEE Transactions on Medical Imaging, 45 (5), 2128-2139. doi: 10.1109/tmi.2025.3648756

Medical microwave imaging using physics-guided deep learning part 1: the forward solver

2026

Journal Article

Real-time super-resolution microwave imaging using Gamma transformation

Guo, L., Sultan, K. and Abbosh, A. (2026). Real-time super-resolution microwave imaging using Gamma transformation. IEEE Transactions on Antennas and Propagation, 1-1. doi: 10.1109/tap.2025.3648179

Real-time super-resolution microwave imaging using Gamma transformation

2025

Journal Article

Clutter removal techniques for medical microwave imaging

Awal, Md Abdul, Guo, Lei, Sultan, Kamel and Abbosh, Amin (2025). Clutter removal techniques for medical microwave imaging. IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology, 10 (1), 1-18. doi: 10.1109/jerm.2025.3634560

Clutter removal techniques for medical microwave imaging

2025

Journal Article

‘Pouring problems’ of oyster sauces: impact of food thickeners on flow behavior, thixotropy, and nonlinear viscoelasticity

Zhan, Yuanli, Cao, Xiao, Wang, Kai, Guo, Lei, Chen, Xu, Zhu, Jie and Chen, Si–Qian (2025). ‘Pouring problems’ of oyster sauces: impact of food thickeners on flow behavior, thixotropy, and nonlinear viscoelasticity. Food Biophysics, 20 (4) 147. doi: 10.1007/s11483-025-10055-y

‘Pouring problems’ of oyster sauces: impact of food thickeners on flow behavior, thixotropy, and nonlinear viscoelasticity

2025

Journal Article

The Impact of Dual-Wavefront Propagation of Electromagnetic Waves in Bio-Tissues on Imaging and In-Body Communications

Guo, Lei, Sultan, Kamel, Xue, Fei and Abbosh, Amin (2025). The Impact of Dual-Wavefront Propagation of Electromagnetic Waves in Bio-Tissues on Imaging and In-Body Communications. Biosensors, 15 (10) 667, 1-18. doi: 10.3390/bios15100667

The Impact of Dual-Wavefront Propagation of Electromagnetic Waves in Bio-Tissues on Imaging and In-Body Communications

2025

Journal Article

Clutter removal in the latent space using data-driven method for clinical microwave head imaging

Guo, L., Bialkowski, K., Stancombe, A., Cook, D., Crozier, S. and Abbosh, A. (2025). Clutter removal in the latent space using data-driven method for clinical microwave head imaging. IEEE Transactions on Antennas and Propagation, 1-1. doi: 10.1109/tap.2025.3606294

Clutter removal in the latent space using data-driven method for clinical microwave head imaging

2025

Journal Article

Conditional synthetic signal generation for microwave head imaging using diffusion models

Lai, Wei-chung, Bialkowski, Alina, Guo, Lei, Bialkowski, Konstanty and Abbosh, Amin (2025). Conditional synthetic signal generation for microwave head imaging using diffusion models. IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology, 9 (4), 1-12. doi: 10.1109/jerm.2025.3581576

Conditional synthetic signal generation for microwave head imaging using diffusion models

2025

Journal Article

Integrated boundary-overlap-size metric for local assessment of deep learning methods in medical microwave imaging

Xue, Fei, Guo, Lei, Bialkowski, Alina and Abbosh, Amin M. (2025). Integrated boundary-overlap-size metric for local assessment of deep learning methods in medical microwave imaging. IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology, 9 (2), 229-239. doi: 10.1109/jerm.2024.3485250

Integrated boundary-overlap-size metric for local assessment of deep learning methods in medical microwave imaging

2025

Journal Article

Non-uniform antenna array for enhanced medical microwave imaging

Abbosh, Younis M., Sultan, Kamel, Guo, Lei and Abbosh, Amin (2025). Non-uniform antenna array for enhanced medical microwave imaging. Sensors, 25 (10) 3174, 3174. doi: 10.3390/s25103174

Non-uniform antenna array for enhanced medical microwave imaging

2025

Conference Publication

Continuously tunable K/Ka-band phase shifter implemented using coplanar waveguides

Zhou, Haoyu, Guo, Lei, Raza Naqvi, Syed Akbar, Fumeaux, Christophe and Abbosh, Amin (2025). Continuously tunable K/Ka-band phase shifter implemented using coplanar waveguides. 2025 6th Australian Microwave Symposium (AMS), Gold Coast, QLD Australia, 10-11 February 2025. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/AMS63679.2025.10937830

Continuously tunable K/Ka-band phase shifter implemented using coplanar waveguides

2025

Conference Publication

Techniques to enhance performance of confocal algorithm in medical microwave imaging

Abbosh, Younis M., Sultan, Kamel and Guo, Lei (2025). Techniques to enhance performance of confocal algorithm in medical microwave imaging. 2025 IEEE 22nd International Multi-Conference on Systems, Signals & Devices (SSD), Monastir, Tunisia, 17-20 February 2025. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ssd64182.2025.10990004

Techniques to enhance performance of confocal algorithm in medical microwave imaging

2025

Conference Publication

Enhanced learning in microwave medical imaging using boundary-overlap-size loss

Xue, Fei, Guo, Lei and Abbosh, Amin (2025). Enhanced learning in microwave medical imaging using boundary-overlap-size loss. 2025 6th Australian Microwave Symposium (AMS), Gold Coast, QLD, Australia, 10-11 February 2025. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/AMS63679.2025.10937783

Enhanced learning in microwave medical imaging using boundary-overlap-size loss

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

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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