Dr Azin Janani
Dr

Azin Janani

Email: 

Background

Dr Azin Janani is a signal processessing and disease classification researcher at the University of Queensland. She received the B.S. and M.S. degrees in biomedical engineering from Amirkabir University (Tehran Poly-Technique), Iran, in 2008 and 2010 respectively, and the Ph.D. degree from Flinders University, Australia, in 2019. She joined the Electromagnetic Research Group, The University of Queensland as a Postdoc Fellow in 2019. Her research interests include signal processing, arteficat removl, feature extraxtion, disease classification, electromagnetic imaging, and computer aided diagnosis system development. She has an extended experience in processig diffrent kinds biological and non-biological signals including Electrocardiogram (ECG), Phonocardiogram (PCG), Electroencephalogram (EEG), and electromagnetic signals. Azin enjoys programming and is professional in Python, Matlab, Java, and C .

She was also a recipient of the Australian Endeavour Postgraduate Scholarship, in 2016, for her Ph.D. studies.

Availability

Dr Azin Janani is:
Available for supervision

Qualifications

  • Bachelor of Biomedical Engineer, Amirkabir University of Technology
  • Masters (Research) of Biomedical Engineering, Amirkabir University of Technology
  • Doctor of Philosophy, Flinders University

Research interests

  • Signal Processing

  • Feature extraction

  • Disease Classification

  • Medical Software Development

Search Professor Azin Janani’s works on UQ eSpace

24 works between 2013 and 2024
All (24) Journal Article (20) Conference Publication (4)

21 - 24 of 24 works

2017

Journal Article

Evaluation of a minimum-norm based beamforming technique, sLORETA, for reducing tonic muscle contamination of EEG at sensor level

Janani, Azin S., Grummett, Tyler S., Lewis, Trent W., Fitzgibbon, Sean P., Whitham, Emma M., DelosAngeles, Dylan, Bakhshayesh, Hanieh, Willoughby, John O. and Pope, Kenneth J. (2017). Evaluation of a minimum-norm based beamforming technique, sLORETA, for reducing tonic muscle contamination of EEG at sensor level. Journal of Neuroscience Methods, 288, 17-28. doi: 10.1016/j.jneumeth.2017.06.011

Evaluation of a minimum-norm based beamforming technique, sLORETA, for reducing tonic muscle contamination of EEG at sensor level

2016

Journal Article

An intelligent phonocardiography for automated screening of pediatric heart diseases

Sepehri, Amir A., Kocharian, Armen, Janani, Azin and Gharehbaghi, Arash (2016). An intelligent phonocardiography for automated screening of pediatric heart diseases. Journal of Medical Systems, 40 (1), 1-10. doi: 10.1007/s10916-015-0359-3

An intelligent phonocardiography for automated screening of pediatric heart diseases

2013

Journal Article

Efficiency, sensitivity and specificity of automated auscultation diagnosis device for detection and discrimination of cardiac murmurs in children

Kocharian, Armen, Sepehri, Amir-Ahmad, Janani, Azin and Malakan-Rad, Elaheh (2013). Efficiency, sensitivity and specificity of automated auscultation diagnosis device for detection and discrimination of cardiac murmurs in children. Iranian Journal of Pediatrics, 23 (4), 445-450.

Efficiency, sensitivity and specificity of automated auscultation diagnosis device for detection and discrimination of cardiac murmurs in children

2013

Journal Article

Separating Parkinsonian patients from normal persons using handwriting features

Sarbaz, Yashar, Towhidkhah, Farzad, Mosavari, Vahab, Janani, Azin and Soltanzadeh, Akbar (2013). Separating Parkinsonian patients from normal persons using handwriting features. Journal of Mechanics in Medicine and Biology, 13 (3), 1-9. doi: 10.1142/s0219519413500309

Separating Parkinsonian patients from normal persons using handwriting features

Current funding

  • 2025 - 2027
    Portable Electromagnetic Torso Scanner
    NHMRC IDEAS Grants
    Open grant

Availability

Dr Azin Janani is:
Available for supervision

Before you email them, read our advice on how to contact a supervisor.

Available projects

  • Portable electromagnetic device for dental vitality test

    This project aims to develop an electromagnetic (EM) device in the form of a probe supported by advanced processing techniques, for a cost-effective, and reliable assessment of pulp vitality in clinical dentistry.

Supervision history

Current supervision

Completed supervision

Enquiries

For media enquiries about Dr Azin Janani's areas of expertise, story ideas and help finding experts, contact our Media team:

communications@uq.edu.au