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Dr. Muhammad Zilany

Dr. Muhammad Zilany

Instructional Assistant Professor

Office Number: 246B
Office Phone: +974.4423.0417


Research Interest:

  • Auditory Neuroscience (Computational Modeling, Neurophysiology, and Psychophysics)
  • Neural-response-based Speech and Speaker Recognition Systems
  • Signal Processing for Hearing Aids and Cochlear Implants

Education

• PhD in Electrical and Computer Engineering, McMaster University, Canada 2007
• MSc in Electrical and Electronic Engineering, BUET, Bangladesh 2002
• BSc in Electrical and Electronic Engineering, BUET, Bangladesh 2000

Experience

• Instructional Assistant Professor, Electrical and Computer Engineering, Texas A&M University at Qatar, 2019 - Present
• Assistant Professor, Department of Computer Engineering, University of Hail, KSA, 2016 – 2018
• Senior Lecturer, Department of Biomedical Engineering, University of Malaya, Kuala Lumpur, Malaysia, 2012 – 2016

Publications

1. Kwan, T., Zilany, M., Venn, D., and AbdulWahab, A. (2019) “Modeling the effects of medial olivocochlear efferent stimulation at the level of the inferior colliculus,” Experimental Brain Research, vol. 237(6), pp. 1479-1491, DOI 10.1007/s00221-019-05511-4.

2. Jassim, W. and Zilany, M. (2019) “NSQM: A non-intrusive assessment of speech quality using
normalized energies of the neurogram,” Journal of Computer, Speech & Language, https://doi.org/10.1016/j.csl.2019.04.005.

3. Hossain, M. E., Zilany, M. and Davies-Venn, E. (2019) “On the feasibility of using a bispectral measure as a nonintrusive predictor of speech intelligibility,” Journal of Computer, Speech & Language, vol. 57, pp. 59-80, https://doi.org/10.1016/j.csl.2019.02.003

4. Bruce, I. C., Erfani, Y., and Zilany, M. S. A. (2018), “A phenomenological model of the synapse between the Inner Hair Cell and Auditory Nerve: Implications of limited neurotransmitter release sites,” Hearing Research, vol. 260, pp. 40-54.


5. Salimi, N., Zilany, M., and Carney, L. (2017) “Modeling responses in the superior paraolivary nucleus: Implications for forward-masking in the inferior colliculus,” DOI: 10.1007/s10162-016-0612-6, Journal of the Association for Research in Otolaryngology (JARO), vol. 18, pp. 441–456.

6. Alam, M., Jassim, W., and Zilany, M. (2017) “Radon transform of auditory neurograms: a robust feature set for phoneme classification,” IET Signal Processing, vol. 12(3), pp. 260-268.

7. Alam, M., Zilany, M., Jassim, W., and Ahmad, M. Y. (2017) “Phoneme classification using the auditory neurogram,” IEEE Access, vol. 5, pp. 633-642.

8. Islam, A., Jassim, W., Siew C., N., and Zilany, M. (2016) “A robust speaker identification system using the responses from a model of the auditory periphery,” PLoS ONE 11(7): e0158520. doi: 10.1371/journal.pone.0158520.

9. Hossain, M., Jassim, W., and Zilany, M. (2016) “Reference-free assessment of speech intelligibility using bispectrum of an auditory neurogram,” PLoS ONE 11(3): e0150415. doi:10.1371/journal.pone.0150415.

10. Jassim, W. and Zilany, M. (2016) “Speech quality assessment using 2D neurogram orthogonal moments,” Speech Communication, vol. 80, pp 34-48.

11. Mowla, M. R., Siew-Cheok, N., Zilany, M. S. A., and Paramesran, R. (2016) “Single-trial evoked potential estimation using iterative principal component analysis,” IEEE Sensors Journal, doi: 10.1109/JSEN.2016.2591582.

12. Mamun, N., Jassim, W. A., and Zilany, M. S. A. (2015) “Prediction of speech intelligibility using a neurogram orthogonal polynomial measure,” IEEE/ACM Transactions on Audio, Speech, and Language processing, vol. 23(4), pp 760-773.