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Dr Ali Zamani
Dr

Ali Zamani

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Overview

Background

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.

Availability

Dr Ali Zamani is:
Available for supervision

Qualifications

  • Bachelor of Electrical and Electronic Engineering, University of Isfahan
  • Masters (Coursework) of Electrical Applied Engineering, Iran University of Science and Technology (IUST)
  • Doctor of Philosophy, The University of Queensland

Research interests

  • Applied Electromagnetics

  • Electromagnetic Medical Imaging

Works

Search Professor Ali Zamani’s works on UQ eSpace

49 works between 2011 and 2024

41 - 49 of 49 works

2015

Conference Publication

Clutter rejection techniques for microwave head imaging

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.

Clutter rejection techniques for microwave head imaging

2015

Conference Publication

Real-time frequency-based multistatic microwave imaging for medical applications (invited)

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

Real-time frequency-based multistatic microwave imaging for medical applications (invited)

2014

Journal Article

Design of a controller for rail eddy current brake system

Zamani, Ali (2014). Design of a controller for rail eddy current brake system. IET Electrical Systems in Transportation, 4 (2), 38-44. doi: 10.1049/iet-est.2013.0008

Design of a controller for rail eddy current brake system

2014

Conference Publication

Microwave imaging using frequency domain method for brain stroke detection

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

Microwave imaging using frequency domain method for brain stroke detection

2014

Conference Publication

Frequency domain method for early stage detection of congestive heart failure

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

Frequency domain method for early stage detection of congestive heart failure

2013

Journal Article

Railway wheel detector in the presence of eddy current brakes

Zamani, A. and Mirabadi, A. (2013). Railway wheel detector in the presence of eddy current brakes. Applied Computational Electromagnetics Society Journal, 28 (1), 77-84.

Railway wheel detector in the presence of eddy current brakes

2012

Journal Article

Applying metamodeling techniques in the design and optimization of train wheel detector

Zamani, Ali, Mirabadi, Ahmad and Schmid, Felix (2012). Applying metamodeling techniques in the design and optimization of train wheel detector. Sensor Review, 32 (4), 327-336. doi: 10.1108/02602281211257560

Applying metamodeling techniques in the design and optimization of train wheel detector

2011

Conference Publication

Analysis of sensor orientation in railway axle counters using response surface methodology

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.

Analysis of sensor orientation in railway axle counters using response surface methodology

2011

Journal Article

Optimization of sensor orientation in railway wheel detector, using Kriging method

Zamani, Ali and Mirabadi, Ahmad (2011). Optimization of sensor orientation in railway wheel detector, using Kriging method. Journal of Electromagnetic Analysis and Applications, 03 (12), 529-536. doi: 10.4236/jemaa.2011.312080

Optimization of sensor orientation in railway wheel detector, using Kriging method

Funding

Past funding

  • 2020 - 2023
    Portable and fast medical imaging using electromagnetic beamography
    Advance Queensland Industry Research Fellowships
    Open grant
  • 2018 - 2019
    Electromagnetic processing technique for lung cancer diagnosis
    Research Donation Generic
    Open grant

Supervision

Availability

Dr Ali Zamani is:
Available for supervision

Looking for a supervisor? Read our advice on how to choose a supervisor.

Available projects

  • Electromagnetic imaging for medical applications

    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.

  • Automatic Measurement of Human Tissue Thicknesses with Ultrasound

    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.

Media

Enquiries

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communications@uq.edu.au