Dr Lei Guo
Dr

Lei Guo

Email: 
Phone: 
+61 7 336 51181

Availability

Dr Lei Guo is:
Available for supervision

Qualifications

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

Search Professor Lei Guo’s works on UQ eSpace

70 works between 2012 and 2025
All (70) Journal Article (52) Conference Publication (16) Other Outputs (2)

1 - 20 of 70 works

2025

Journal Article

Professors go in for business: managerial academic experience and corporate environmental, social, and governance (ESG) performance

Guo, Lei (2025). Professors go in for business: managerial academic experience and corporate environmental, social, and governance (ESG) performance. Asia-Pacific Journal of Accounting & Economics, ahead-of-print (ahead-of-print), 1-17. doi: 10.1080/16081625.2025.2521304

Professors go in for business: managerial academic experience and corporate environmental, social, and governance (ESG) performance

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

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

Enhancing the viscoelastic properties of bacterial cellulose hydrogels through ultrasonic and enzymatic modification of xyloglucan

Liao, Qiudong, Zhang, Shuyan, Cao, Xiao, Guo, Lei, Wang, Kai, Zhu, Jie, Li, Lin and Chen, Si-Qian (2024). Enhancing the viscoelastic properties of bacterial cellulose hydrogels through ultrasonic and enzymatic modification of xyloglucan. International Journal of Biological Macromolecules, 282 (Part 4) 137017, 1-10. doi: 10.1016/j.ijbiomac.2024.137017

Enhancing the viscoelastic properties of bacterial cellulose hydrogels through ultrasonic and enzymatic modification of xyloglucan

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

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

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

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

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), 1-1. doi: 10.1109/tap.2024.3513639

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

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

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

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

  • 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

  • Develop new generation of electromagnetic medical imaging system

    I'm currently recruiting PhD student to work on an exciting research project. The topic is about using electromagnetic technologies on medicla brain imaging. Certain degree of machine learning will also be involved in this project. This project coorporates with EMvision comapny and PA hospital so the student has opportunity to work with industry design team and access the clinical data.

Supervision history

Current supervision

Completed supervision

Enquiries

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communications@uq.edu.au