Dr Ali Zamani

Advanced Qld Industry Res Fellow

School of Information Technology and Electrical Engineering
Faculty of Engineering, Architecture and Information Technology
a.zamani@uq.edu.au
+61 7 336 51651

Overview

Dr. Ali Zamani is a signal processing and applied electromagnetic researcher at the University of Queensland, where he is designing systems and algorithms for medical imaging applications. Dr. Zamani received the B.S. and M.S. degrees in electronics and electrical engineering in 2008 and 2012, respectively. He also holds a PhD from the University of Queensland, Australia. His doctoral studies were in developing algorithms and techniques to process data from microwave medical imaging systems and produce medical images.

Dr. Zamani was the recipient of the Australian Endeavour Postgraduate Scholarship in 2014 for his PhD studies. He was also awarded the Maude Walker Scholarship in 2014, the Richard Jago Memorial Prize in 2016, and the Candidate Development Award in 2017, from the University of Queensland for his research achievements in the field of electromagnetic imaging.

Research Interests

  • Applied Electromagnetics
  • Electromagnetic Medical Imaging

Qualifications

  • Doctor of Philosophy, The University of Queensland

Publications

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Grants

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Available Projects

  • There are a number of projects in the field of electromagnetic medical imaging such as brain injury detection, fatty liver diagnosis, and lung cancer detection using microwave sensors. The projects can include developing techniques for electromagnetic signal calibration, clutter removal, frequency / coherence bandwidth selection and electromagnetic image resolution evaluation.

  • An accurate assessment of body composition is required to enable the diagnosis of different diseases with electromagnetic imaging techinques. Ultrasound has been used effectively to assess human soft tissues for nearly 5 decades. Therefore, the purpose of this project is to use this technology to measure the thicknesses of human torso tissues, such as skin, fat, and muscles as a priori information to electromagnetic imaging algorithms.

View all Available Projects

Publications

Featured Publications

Journal Article

Conference Publication

  • Brankovic, Aida, Zamani, Ali and Abbosh, Amin (2019). Electromagnetic based fatty liver detection using machine learning. European Conference on Antennas and Propagation , Krakow, Poland, 31 March-5 April 2019. New York, NY, United States: Institute of Electrical and Electronics Engineers.

  • Zamani, Ali, Darvazehban, Amin, Ahdi Rezaeieh, Sasan and Abbosh, Amin (2019). Three-dimensional electromagnetic torso imaging using reconfigurable antennas. European Conference on Antennas and Propagation (EuCAP), Krakow, Poland, 31 March-5 April 2019. New York, NY, United States: Institute of Electrical and Electronics Engineers.

  • Zamani, A. and Abbosh, A. M. (2017). Permittivity Estimation for Improved Microwave Medical Imaging. International Symposium of IEEE-Antennas-and-Propagation-Society / USNC/URSI National Radio Science Meeting, San Diego, CA, USA, Jul 09-14, 2017. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/APUSNCURSINRSM.2017.8072435

  • Zamani, A. and Abbosh, A. M. (2017). Surface Estimation of Imaged Object in Microwave Medical Imaging. International Symposium of IEEE-Antennas-and-Propagation-Society / USNC/URSI National Radio Science Meeting, San Diego, CA, USA, Jul 09-14, 2017. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/APUSNCURSINRSM.2017.8072436

  • Zamani, A., Ahdi Rezaeieh, S. and Abbosh, A. M. (2016). Improved microwave medical imaging using virtual antenna array. International Conference on Electromagnetics in Advanced Applications, ICEAA, Bristol, United Kingdom, 19-23 September 2016. Piscataway, NJ, United States: IEEE. doi: 10.1109/ICEAA.2016.7731481

  • Rezaeieh, S.Ahdi, Zamani, A. and Abbosh, A. M. (2016). Thoracic fluid detection and monitoring system using metamaterial loaded Yagi-antenna array. International Conference on Electromagnetics in Advanced Applications, ICEAA, Bristol, United Kingdom, 19-23 September 2016. Piscataway, NJ, United States: IEEE. doi: 10.1109/ICEAA.2016.7731478

  • Zamani, A. and Abbosh, A. M. (2015). Clutter rejection techniques for microwave head imaging. International Symposium on Antennas and Propagation (ISAP), Hobart, TAS, Australia, 9-12 November 2015. Piscataway, NJ, United States: IEEE.

  • Zamani, A. and Abbosh, A. M. (2015). Fast multi-static technique for microwave brain imaging. IEEE Antennas and Propagation Society International Symposium, Vancouver, BC, Canada, 19-24 July 2015. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/APS.2015.7304654

  • Zamani, A. and Abbosh, A. M. (2015). Frequency domain artifact removal technique for multistatic microwave head imaging. International Symposium on Antennas and Propagation (ISAP), Hobart, TAS, Australia, 9-12 November 2015. Piscataway, NJ, United States: IEEE.

  • Abbosh, A. M., Zamani, A. and Mobashsher, A. T. (2015). Real-time frequency-based multistatic microwave imaging for medical applications (invited). IEEE MTT-S International Microwave Workshop Series on RF and Wireless Technologies for Biomedical and Healthcare Applications, Taipei, Taiwan, 21-23 September 2015. Piscataway, NJ, United States: IEEE. doi: 10.1109/IMWS-BIO.2015.7303811

  • Zamani, A., Ahdi Rezaeieh, S. and Abbosh, A. M. (2014). Frequency domain method for early stage detection of congestive heart failure. IEEE MTT-S International Microwave Workshop Series on RF and Wireless Technologies for Biomedical and Healthcare Applications (IMWS-Bio), London, United Kingdom, 8-10 December 2014. Piscataway, NJ, United States: IEEE. doi: 10.1109/IMWS-BIO.2014.7032455

  • Zamani, A., Mobashsher, A. T., Mohammed, B.J. and Abbosh, A. M. (2014). Microwave imaging using frequency domain method for brain stroke detection. IEEE MTT-S International Microwave Workshop Series on RF and Wireless Technologies for Biomedical and Healthcare Applications (IMWS-Bio), London, United Kingdom, 8-10 December 2014. Piscataway, NJ, United States: IEEE. doi: 10.1109/IMWS-BIO.2014.7032452

  • Zamani, Ali and Mirabadi, Ahmad (2011). Analysis of sensor orientation in railway axle counters using response surface methodology. 5th Symposium on Advances in Science and Technology, Khavaran Institute of Higher Education, 12 May 2011.

Other Outputs

Grants (Administered at UQ)

Possible Research Projects

Note for students: The possible research projects listed on this page may not be comprehensive or up to date. Always feel free to contact the staff for more information, and also with your own research ideas.

  • There are a number of projects in the field of electromagnetic medical imaging such as brain injury detection, fatty liver diagnosis, and lung cancer detection using microwave sensors. The projects can include developing techniques for electromagnetic signal calibration, clutter removal, frequency / coherence bandwidth selection and electromagnetic image resolution evaluation.

  • An accurate assessment of body composition is required to enable the diagnosis of different diseases with electromagnetic imaging techinques. Ultrasound has been used effectively to assess human soft tissues for nearly 5 decades. Therefore, the purpose of this project is to use this technology to measure the thicknesses of human torso tissues, such as skin, fat, and muscles as a priori information to electromagnetic imaging algorithms.