Dr Azin Janani
Lecturer
School of Electrical Engineering and Computer Science
Researcher biography
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.
Journal Articles
Awal, Md. Abdul, Janani, Azin S., Rezaeieh, Sasan Ahdi, Macdonald, Graeme A. and Abbosh, Amin (2024). Towards non-invasive liver health monitoring: comprehensive microwave dielectric spectroscopy of freshly excised human abdominal tissues. IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology (99), 1-13. doi: 10.1109/jerm.2024.3416758
Janani, Azin S., Rezaeieh, Sasan Ahdi, Darvazehban, Amin, Keating, Shelley E. and Abbosh, Amin M. (2022). Portable electromagnetic device for steatotic liver detection using blind source separation and Shannon wavelet entropy. IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology, PP (99), 1-9. doi: 10.1109/jerm.2022.3205247
Pope, Kenneth J., Lewis, Trent W., Fitzgibbon, Sean P., Janani, Azin S., Grummett, Tyler S., Williams, Patricia A. H., Battersby, Malcolm, Bastiampillai, Tarun, Whitham, Emma M. and Willoughby, John O. (2022). Managing electromyogram contamination in scalp recordings: an approach identifying reliable beta and gamma EEG features of psychoses or other disorders. Brain and Behavior, 12 (9) e2721, 1-11. doi: 10.1002/brb3.2721
Janani, Azin S., Darvazehban, Amin, Rezaeieh, Sasan Ahdi and Abbosh, Amin (2022). Focused planar electromagnetic waves for enhanced near-field microwave imaging with verification using tapered gradient-index lens antenna. IEEE Access, 10, 86920-86934. doi: 10.1109/access.2022.3199002
Mousavi, Seyed Mohammad Hadi, Rezaeieh, Sasan Ahdi, Darvazehban, Amin, Mohammed, Beadaa, Janani, Azin S. and Abbosh, Amin M. (2022). Tapered graded index lens antenna with enhanced penetration for near-field torso imaging. IEEE Transactions on Antennas and Propagation, 71 (1), 1-10. doi: 10.1109/tap.2022.3215449
Janani, Azin S., Ahdi Rezaeieh, Sasan, Darvazehban, Amin, Khosravi-Farsani, Mojtaba, Keating, Shelley E. and Abbosh, Amin M. (2022). Electromagnetic method for steatotic liver detection using contrast in effective dispersive permittivity. IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology, 6 (3), 1-9. doi: 10.1109/jerm.2022.3147358
Janani, Azin S., Rezaeieh, Sasan Ahdi, Darvazehban, Amin, Zamani, Ali, Brankovic, Aida, Mohammed, Beadaa, Macdonald, Graeme and Abbosh, Amin M. (2021). Hepatic steatosis detection using differential effective permittivity. IEEE Transactions on Antennas and Propagation, 69 (12), 1-1. doi: 10.1109/tap.2021.3090508
Ahdi Rezaeieh, Sasan, Darvazehban, Amin, Janani, Azin S. and Abbosh, Amin M. (2021). Electromagnetic torso scanning: a review of devices, algorithms, and systems. Biosensors, 11 (5) 135, 135. doi: 10.3390/bios11050135
Rezaeieh, Sasan Ahdi, Brankovic, Aida, Janani, Azin, Mohammed, Beadaa, Darvazehban, Amin, Zamani, Ali, Macdonald, Graeme A. and Abbosh, Amin (2020). Wearable electromagnetic belt for steatotic liver detection using multivariate energy statistics. IEEE Access, 8, 1-1. doi: 10.1109/access.2020.3035657
Janani, Azin S., Grummett, Tyler S., Bakhshayesh, Hanieh, Lewis, Trent W., DeLosAngeles, Dylan, Whitham, Emma M., Willoughby, John O. and Pope, Kenneth J. (2020). Fast and effective removal of contamination from scalp electrical recordings. Clinical Neurophysiology, 131 (1), 6-24. doi: 10.1016/j.clinph.2019.09.016
Bakhshayes, Hanieh, Fitzgibbon, Sean P., Janani, Azin S., Grummett, Tyler S. and Popea, Kenneth J. (2019). Detecting connectivity in EEG: a comparative study of data-driven effective connectivity measures. Computers in Biology and Medicine, 111. doi: 10.1016/j.compbiomed.2019.103329
Bakhshayesh, Hanieh, Fitzgibbon, Sean P., Janani, Azin S., Grummett, Tyler S. and Pope, Kenneth J. (2019). Detecting synchrony in EEG: a comparative study of functional connectivity measures. Computers in Biology and Medicine, 105, 1-15. doi: 10.1016/j.compbiomed.2018.12.005
Janani, Azin S., Pope, Kenneth J., Fenton, Nicole, Grummett, Tyler S., Bakhshayesh, Hanieh, Lewis, Trent W., Watson, Dean H., Whitham, Emma M. and Willoughby, John O. (2018). Resting cranial and upper cervical muscle activity is increased in patients with migraine. Clinical Neurophysiology, 129 (9), 1913-1919. doi: 10.1016/j.clinph.2018.06.017
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. (2018). Improved artefact removal from EEG using canonical correlation analysis and spectral slope. Journal of Neuroscience Methods, 298, 1-15. doi: 10.1016/j.jneumeth.2018.01.004
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
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
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.
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
Conference Papers
Rezaeieh, Sasan Ahdi, Janani, Azin, Keating, Shelley and Abbosh, Amin (2024). Toward clinical applications of portable electromagnetic torso scanning. 2024 IEEE International Symposium on Antennas and Propagation and INC/USNC‐URSI Radio Science Meeting (AP-S/INC-USNC-URSI), Firenze, Italy, 14-19 July 2024. Piscataway, NJ, United States: IEEE. doi: 10.1109/ap-s/inc-usnc-ursi52054.2024.10686183
Janani, Azin S., Grummett, Tyler S., Bakhshayesh, Hanieh, Willoughby, John O. and Pope, Kenneth J. (2018). Beamforming and blind source separation have a complementary effect in reducing tonic cranial muscle contamination of scalp measurements. European Signal Processing Conference (EUSIPCO), Rome, Italy, 3-7 September 2018. Los Alamitos, CA, United States: IEEE Computer Society. doi: 10.23919/EUSIPCO.2018.8553014
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
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