 
    Overview
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
Works
Search Professor Lei Guo’s works on UQ eSpace
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
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
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
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.
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
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
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
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
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
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
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
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
-           
Develop new generation of electromagnetic medical imaging systemI'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
-               
Doctor Philosophy Design of Tunable Microwave DevicesAssociate Advisor Other advisors: Professor Amin Abbosh, Professor Christophe Fumeaux 
-               
Doctor Philosophy Robust Deep Learning Models for Microwave ImagingAssociate Advisor Other advisors: Dr Alina Bialkowski 
-               
Doctor Philosophy Minimally Invasive Blood Analysis Using Data-Driven Electromagnetic TechniquesAssociate Advisor Other advisors: Associate Professor Konstanty Bialkowski, Dr Alina Bialkowski, Professor Amin Abbosh 
-               
Master Philosophy Computationally Efficient Electromagnetic Solver for Medical ImagingAssociate Advisor Other advisors: Professor Amin Abbosh 
-               
Doctor Philosophy WIDEBAND, COMPACT NEAR FIELD ANTENNAS FOR MILLIMETER WAVE IMAGING FOR MEDICAL APPLICATIONSAssociate Advisor Other advisors: Professor Amin Abbosh 
-               
Doctor Philosophy Electromagnetic Solver Using Physics-Guided Deep Neural NetworkAssociate Advisor Other advisors: Dr Alina Bialkowski, Professor Amin Abbosh 
-               
Doctor Philosophy Substation Electric Transient on Power Transformer Insulation AgingAssociate Advisor Other advisors: Dr Chandima Ekanayake, Dr Hui Ma 
Completed supervision
-               
2025 Doctor Philosophy Universal Deep Learning for Reliable Electromagnetic Imaging and Detection in Inhomogeneous MediaAssociate Advisor Other advisors: Dr Alina Bialkowski, Professor Amin Abbosh 
-               
2024 Doctor Philosophy Innovative RF Coil Designs and Metamaterial Applications for Ultra-High Field MRIAssociate Advisor Other advisors: Emeritus Professor Stuart Crozier, Professor Feng Liu 
-               
2022 Doctor Philosophy Data-driven Approaches for Biomedical Electromagnetic ImagingAssociate Advisor Other advisors: Professor Amin Abbosh 
Media
Enquiries
For media enquiries about Dr Lei Guo's areas of expertise, story ideas and help finding experts, contact our Media team: