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Dr Lei Guo
Dr

Lei Guo

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Overview

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.

Works

Search Professor Lei Guo’s works on UQ eSpace

83 works between 2012 and 2026

61 - 80 of 83 works

2018

Journal Article

Numerical simulations on active shielding methods comparison and wrapped angle optimization for gradient coil design in MRI with enhanced shielding effect

Wang, Yaohui, Xin, Xuegang, Guo, Lei, Chen, Zhifeng and Liu, Feng (2018). Numerical simulations on active shielding methods comparison and wrapped angle optimization for gradient coil design in MRI with enhanced shielding effect. Review of Scientific Instruments, 89 (5) 055116, 055116. doi: 10.1063/1.5020087

Numerical simulations on active shielding methods comparison and wrapped angle optimization for gradient coil design in MRI with enhanced shielding effect

2018

Journal Article

Phase Reconfigurable Microwave Power Divider

Guo, Lei, Zhu, He and Abbosh, Amin (2018). Phase Reconfigurable Microwave Power Divider. IEEE Transactions on Circuits and Systems II: Express Briefs, 66 (1) 8344759, 21-25. doi: 10.1109/TCSII.2018.2829200

Phase Reconfigurable Microwave Power Divider

2017

Journal Article

An efficient integral-based method for three-dimensional MR-EPT and the calculation of the RF-Coil-Induced Bz field

Guo, Lei, Jin, Jin, Liu, Chunyi, Liu, Feng and Crozier, Stuart (2017). An efficient integral-based method for three-dimensional MR-EPT and the calculation of the RF-Coil-Induced Bz field. IEEE Transactions on Biomedical Engineering, 65 (2) 8068998, 282-293. doi: 10.1109/TBME.2017.2763590

An efficient integral-based method for three-dimensional MR-EPT and the calculation of the RF-Coil-Induced Bz field

2017

Other Outputs

Processing and imaging techniques for microwave-based head imaging

Guo, Lei (2017). Processing and imaging techniques for microwave-based head imaging. PhD Thesis, School of Information Technology and Electrical Engineering, The University of Queensland. doi: 10.14264/uql.2017.166

Processing and imaging techniques for microwave-based head imaging

2017

Conference Publication

Compressive sensing using approximated total variant transform to reduce the required number of antennas in radar-based medical imaging

Guo, Lei, Bialkowski, K. and Abbosh, Amin (2017). Compressive sensing using approximated total variant transform to reduce the required number of antennas in radar-based medical imaging. 2017 IEEE International Symposium on Antennas and Propagation, San Diego, CA, United States, 9-14 July 2017. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/APUSNCURSINRSM.2017.8072261

Compressive sensing using approximated total variant transform to reduce the required number of antennas in radar-based medical imaging

2016

Journal Article

An integrated indicator system for patent portfolios: evidence from the telecommunications industry

Guo, Lei, Zhang, Marina, Dodgson, Mark J. and Cai, Hong (2016). An integrated indicator system for patent portfolios: evidence from the telecommunications industry. Technology Analysis and Strategic Management, 29 (6), 1-14. doi: 10.1080/09537325.2016.1220514

An integrated indicator system for patent portfolios: evidence from the telecommunications industry

2016

Journal Article

Wideband phase shifter with wide phase range using parallel coupled lines and L-shaped networks

Guo, L., Zhu, H. and Abbosh, A. (2016). Wideband phase shifter with wide phase range using parallel coupled lines and L-shaped networks. IEEE Microwave and Wireless Components Letters, 26 (8) 7519058, 592-594. doi: 10.1109/LMWC.2016.2587833

Wideband phase shifter with wide phase range using parallel coupled lines and L-shaped networks

2016

Journal Article

Wideband four-way filtering power divider with sharp selectivity and wide stopband using looped coupled-line structures

Zhu, He, Abbosh, Amin M. and Guo, Lei (2016). Wideband four-way filtering power divider with sharp selectivity and wide stopband using looped coupled-line structures. IEEE Microwave and Wireless Components Letters, 26 (6) 7473921, 413-415. doi: 10.1109/LMWC.2016.2562107

Wideband four-way filtering power divider with sharp selectivity and wide stopband using looped coupled-line structures

2016

Journal Article

Wideband tunable in-phase power divider using three-line coupled structure

Guo, L., Zhu, H. and Abbosh, A. M. (2016). Wideband tunable in-phase power divider using three-line coupled structure. IEEE Microwave and Wireless Components Letters, 26 (6) 7470611, 404-406. doi: 10.1109/LMWC.2016.2562058

Wideband tunable in-phase power divider using three-line coupled structure

2016

Conference Publication

Microwave head imaging using multi-frequency tomography

Guo, Lei and Abbosh, Amin (2016). Microwave head imaging using multi-frequency tomography. International Conference on Electromagnetics in Advanced Applications, ICEAA, Bristol, United Kingdom, 19-23 September 2016. Piscataway, NJ, United States: IEEE. doi: 10.1109/ICEAA.2016.7731485

Microwave head imaging using multi-frequency tomography

2015

Journal Article

Microwave imaging of nonsparse domains using born iterative method with wavelet transform and block sparse bayesian learning

Guo, Lei and Abbosh, Amin M. (2015). Microwave imaging of nonsparse domains using born iterative method with wavelet transform and block sparse bayesian learning. IEEE Transactions on Antennas and Propagation, 63 (11) 7222402, 4877-4888. doi: 10.1109/TAP.2015.2473000

Microwave imaging of nonsparse domains using born iterative method with wavelet transform and block sparse bayesian learning

2015

Journal Article

Optimization-based confocal microwave imaging in medical applications

Guo, Lei and Abbosh, Amin M. (2015). Optimization-based confocal microwave imaging in medical applications. IEEE Transactions on Antennas and Propagation, 63 (8) 7109867, 3531-3539. doi: 10.1109/TAP.2015.2434394

Optimization-based confocal microwave imaging in medical applications

2015

Conference Publication

Planar UWB phase shifter using parallel coupled lines combined with short-ended stubs and impedance transformer

Guo, L., Zhu, H. and Abbosh, A. M. (2015). Planar UWB phase shifter using parallel coupled lines combined with short-ended stubs and impedance transformer. Asia-Pacific Microwave Conference (APMC), Nanjing, China, 6-9 December 2015. Piscataway, NJ, United States: IEEE. doi: 10.1109/APMC.2015.7413131

Planar UWB phase shifter using parallel coupled lines combined with short-ended stubs and impedance transformer

2015

Journal Article

Microwave Stepped Frequency Head Imaging Using Compressive Sensing With Limited Number of Frequency Steps

Guo, L. and Abbosh, A. M. (2015). Microwave Stepped Frequency Head Imaging Using Compressive Sensing With Limited Number of Frequency Steps. IEEE Antennas and Wireless Propagation Letters, 14 7018909, 1133-1136. doi: 10.1109/LAWP.2015.2396054

Microwave Stepped Frequency Head Imaging Using Compressive Sensing With Limited Number of Frequency Steps

2015

Conference Publication

Wavelet-based compressive sensing for head imaging

Guo, Lei and Abbosh, A. M. (2015). Wavelet-based compressive sensing for head imaging. International Symposium on Antennas and Propagation (ISAP), Hobart, TAS, Australia, 9-12 November 2015. Piscataway, NJ, United States: IEEE.

Wavelet-based compressive sensing for head imaging

2015

Conference Publication

Microwave technique for brain stroke localization and classification using block sparse Bayesian learning with wavelet transform

Guo, L. and Abbosh, A. M. (2015). Microwave technique for brain stroke localization and classification using block sparse Bayesian learning with wavelet transform. Asia-Pacific Microwave Conference (APMC), Nanjing, China, 6-9 December 2015. Piscataway, NJ, United States: IEEE. doi: 10.1109/APMC.2015.7413188

Microwave technique for brain stroke localization and classification using block sparse Bayesian learning with wavelet transform

2014

Journal Article

Ultra-wideband unequal in-phase power divider using three-line coupled structure

Zhu, H., Abbosh, A. and Guo, L. (2014). Ultra-wideband unequal in-phase power divider using three-line coupled structure. Electronics Letters, 50 (15), 1081-1082. doi: 10.1049/el.2014.1214

Ultra-wideband unequal in-phase power divider using three-line coupled structure

2014

Journal Article

Ultra-wideband in-phase power divider using stepped-impedance three-line coupled structure and microstrip-to-slotline transitions

Guo, L., Abbosh, A. and Zhu, H. (2014). Ultra-wideband in-phase power divider using stepped-impedance three-line coupled structure and microstrip-to-slotline transitions. Electronics Letters, 50 (5), 383-384. doi: 10.1049/el.2013.4160

Ultra-wideband in-phase power divider using stepped-impedance three-line coupled structure and microstrip-to-slotline transitions

2014

Journal Article

Phase shifters with wide range of phase and ultra-wideband performance using stub-loaded coupled structure

Guo, L. and Abbosh, A. (2014). Phase shifters with wide range of phase and ultra-wideband performance using stub-loaded coupled structure. IEEE Microwave and Wireless Components Letters, 24 (3) 6710204, 167-169. doi: 10.1109/LMWC.2013.2293658

Phase shifters with wide range of phase and ultra-wideband performance using stub-loaded coupled structure

2014

Conference Publication

Compressive sensing for stroke detection in microwave-based head imaging

Guo, L. and Abbosh, A. M. (2014). Compressive sensing for stroke detection in microwave-based head imaging. 2014 IEEE Antennas and Propagation Society International Symposium, APSURSI 2014, Memphis, TN United States, 6-11 July 2014. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/APS.2014.6905282

Compressive sensing for stroke detection in microwave-based head imaging

Funding

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

Supervision

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

Media

Enquiries

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