Overview
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
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Signal Processing
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Feature extraction
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Disease Classification
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Medical Software Development
Works
Search Professor Azin Janani’s works on UQ eSpace
2018
Conference Publication
How many channels are enough? Evaluation of tonic cranial muscle artefact reduction using ICA with different numbers of EEG channels
Janani, Azin S., Grummett, Tyler S., Bakhshayesh, Hanieh, Lewis, Trent W., Willoughby, John O. and Pope, Kenneth J. (2018). How many channels are enough? Evaluation of tonic cranial muscle artefact reduction using ICA with different numbers of EEG channels. European Signal Processing Conference (EUSIPCO), Rome, Italy, 3-7 September 2018. Los Alamitos, CA, United States: IEEE Computer Society. doi: 10.23919/EUSIPCO.2018.8553261
2018
Conference Publication
Towards detecting connectivity in EEG: a comparative study of parameters of effective connectivity measures on simulated data
Bakhshayesh, Hanieh, Grummett, Tyler S., Janani, Azin S., Fitzgibbon, Sean P. and Pope, Kenneth J. (2018). Towards detecting connectivity in EEG: a comparative study of parameters of effective connectivity measures on simulated data. IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES), Kuching, Malaysia, 3-6 December 2018. Piscataway, NJ, United States: IEEE. doi: 10.1109/IECBES.2018.8626645
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
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
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.
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
Funding
Current funding
Supervision
Availability
- Dr Azin Janani is:
- Available for supervision
Looking for a supervisor? Read our advice on how to choose a supervisor.
Available projects
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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
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Doctor Philosophy
Portable Electromagnetic Device for Dental Vitality Test
Principal Advisor
Other advisors: Professor Amin Abbosh, Professor Ove Peters
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Doctor Philosophy
Portable Medical ElectromagneticTorso Scanner Using Physics-Informed Processing Techniques to Detect Liver Abnormalities
Associate Advisor
Other advisors: Dr Sasan Ahdi Rezaeieh, Professor Christophe Fumeaux, Professor Amin Abbosh
Completed supervision
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2025
Doctor Philosophy
Compact Wideband Antennas for Enhanced Medical Electromagnetic Torso Imaging
Associate Advisor
Other advisors: Dr Kamel Sultan, Professor Amin Abbosh
Media
Enquiries
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