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
2013
Conference Publication
Ultra-wideband phase shifter using broadside-coupled microstrip coplanar waveguide
Guo, L. and Abbosh, A. (2013). Ultra-wideband phase shifter using broadside-coupled microstrip coplanar waveguide. 3rd Asia-Pacific Microwave Conference Proceedings (APMC), Seoul South Korea, 5-8 November 2013. Piscataway, NJ, United States: IEEE. doi: 10.1109/APMC.2013.6694985
2013
Conference Publication
Multilayer phase shifter with wide range of phase and ultra-wideband performance
Guo, L. and Abbosh, A. (2013). Multilayer phase shifter with wide range of phase and ultra-wideband performance. Asia-Pacific Microwave Conference, APMC 2013, Seoul, Korea, 5 - 8 November 2013. Piscataway, NJ United States: I E E E. doi: 10.1109/APMC.2013.6695176
2012
Journal Article
Three-way signal divider with tunable ratio for adaptive transmitting antenna arrays
Abbosh, A. and Guo, L. (2012). Three-way signal divider with tunable ratio for adaptive transmitting antenna arrays. IET Microwaves Antennas and Propagation, 6 (12), 1318-1324. doi: 10.1049/iet-map.2012.0124
Funding
Current funding
Past funding
Supervision
Availability
- Dr Lei Guo is:
- Available for supervision
Looking for a supervisor? Read our advice on how to choose a supervisor.
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
-
Doctor Philosophy
Substation Electric Transient on Power Transformer Insulation Aging
Associate Advisor
Other advisors: Associate Professor Chandima Ekanayake, Associate Professor Hui Ma
-
Doctor Philosophy
WIDEBAND, COMPACT NEAR FIELD ANTENNAS FOR MILLIMETER WAVE IMAGING FOR MEDICAL APPLICATIONS
Associate Advisor
Other advisors: Professor Amin Abbosh
-
Doctor Philosophy
Multimodal Learning for Blood Characterization using Electromagnetic Sensing.
Associate Advisor
Other advisors: Dr Kamel Sultan, Professor Amin Abbosh
-
Doctor Philosophy
Minimally Invasive Blood Analysis Using Data-Driven Electromagnetic Techniques
Associate Advisor
Other advisors: Associate Professor Konstanty Bialkowski, Dr Alina Bialkowski, Professor Amin Abbosh
-
Doctor Philosophy
Electromagnetic Solver Using Physics-Guided Deep Neural Network
Associate Advisor
Other advisors: Dr Alina Bialkowski, Professor Amin Abbosh
Completed supervision
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2026
Doctor Philosophy
Microwave Devices for K/Ka-band Low Earth Orbit Satellite Communications Systems
Associate Advisor
Other advisors: Professor Christophe Fumeaux, Professor Amin Abbosh
-
2025
Doctor Philosophy
Universal Deep Learning for Reliable Electromagnetic Imaging and Detection in Inhomogeneous Media
Associate Advisor
Other advisors: Dr Alina Bialkowski, Professor Amin Abbosh
-
2025
Doctor Philosophy
Robust Deep Learning Models for Microwave Imaging
Associate Advisor
Other advisors: Dr Alina Bialkowski
-
2024
Doctor Philosophy
Innovative RF Coil Designs and Metamaterial Applications for Ultra-High Field MRI
Associate Advisor
Other advisors: Emeritus Professor Stuart Crozier, Professor Feng Liu
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2022
Doctor Philosophy
Data-driven Approaches for Biomedical Electromagnetic Imaging
Associate Advisor
Other advisors: Professor Amin Abbosh
Media
Enquiries
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