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Associate Professor:Moataz Elayadi
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Engineering Mathematics and Physics
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| Email : | moataz.elayadi***gmail.com |
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| Qualifications |
|  B.Sc. (2000) "Electronics and Communications Engineering" Cairo (Egypt) |
| M.Sc. (2004) "Engineering Mathematics" Cairo (Egypt) |
| Ph.D. (2009) "Electrical and Computer Engineering" Waterloo (Canada) |
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| Fields of Interest : |
| Speech Recognition: Isolated Word Recognition, Continuous Speech Recognition, Speaker Identification, Speaker Verification, Speech Emotion Recognition |
| Pattern Recognition and Machine Learning |
| Digital Communication (Analysis of Fading Channels) |
| Statistical Signal Processing |
| Natural Language Understanding and Linguistic Modelling |
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| Recent Publications : |
| -2017-Moataz El Ayadi, Abdel-Karim S.O. Hassan, Ahmed Abdel-Naby, Omar A. Elgendy, "Text-independent speaker identification using robust statistics estimation", Speech Communication
Volume 92, pp. 52–63, September 2017 |
| -2016-M. M. H. El Ayadi, M. H. Ismail and H. R. Alhennawi, "Unified approach for probability of detection evaluation over generalised fading channels," in IET Communications, vol. 10, no. 12, pp. 1532-1541, 2016. |
| -2015-Husam R. Alhennawi, Moataz M. H. El Ayadi, Mahmoud H. Ismail, and Hebat-Allah M. Mourad, “Closed-form Exact and Asymptotic Expressions for the Symbol Error Rate and Channel Capacity of the H-function Fading Channel”, accepted for publication in IEEE Transactions on Vehicular Technology. |
| -2014-Moataz M. H. El-Ayadi and Mahmoud H. Ismail, "Novel Closed-Form Exact Expressions and Asymptotic Analysis for the Symbol Error Rate of Single- and Multiple-Branch MRC and EGC Receivers Over \alpha-\mu Fading," Vehicular Technology, IEEE Transactions on , Vol. 63, Issue 9, pp. 4277-4291, Nov. 2014 |
| -2013-Moataz M. H. El-Ayadi and Mahmoud H. Ismail, “Novel Tight Closed-form Bounds for the Symbol Error Rate of EGC and MRC Diversity Receivers Employing Linear Modulations over \alpha-\mu Fading”, Wireless Personal Communications, Vol. 77, Issue 1, pp 571-587, Nov. 2013. |
| -2012-Moataz M. H. El-Ayadi and Mahmoud H. Ismail, “On the Cumulative Distribution Function of the Sum and the Harmonic Mean of two \alpha-\mu Random Variables with Applications”, IET Communications, Vol. 6, Issue 18, pp. 3122-3130, Oct. 2012. |
| -2011-M. El Ayadi, M. Kamel, and F. Karray, “Survey on Speech Emotion Recognition: Features, Classification Schemes, and Databases”, Pattern Recognition, Volume 44, Issue 3, March 2011 (best paper award for 2011 for International Conference on Pattern Recognition). |
| -2008-M. El Ayadi, M. Kamel, and F. Karray, “Towards a Tight Upper Bound for the Error Probability of the Binary Gaussian Classification Problem”, Pattern Recognition, Volume 41, Issue 6, June 2008. |
| Conferences : | | -2013-M. El Ayadi, M. Afify, “Language Independent Call Routing using the Large Margin Estimation Principle”, Interspeech 2013, Lyon, France, Aug. 2013 | | -2013-M. El Ayadi, M. Ismail, “Novel Simple Bounds on the Probability of Error for EGC and MRC Diversity Receivers Over \alpha-\mu Fading”, International Conference on Telecommunications, Casablance, May 2013 | | -2010-M. El Ayadi, Konstantinos N. Plataniotis, “The Effect of Finite Sample Size on the Holdout Error Probability Estimator of Homoscedastic Multi-class Gaussian Classification Problems”, IEEE World Congress on Computational Intelligence, WCCI 2010, July 2010. | | -2010-M. El Ayadi, Konstantinos N. Plataniotis, “Improving the classification performance of linear feature extraction algorithms”, IEEE International Conference on Acoustic, Speech, and Signal Processing, ICASSP 2010, 2010. | | -2007-M. El Ayadi, M. Kamel, and F. Karray, “Speech Emotion Recognition using Gaussian Mixture Vector Autoregressive Models”, IEEE International Conference on Acoustic, Speech, and Signal Processing, ICASSP 2007, vol. 4, pp. IV-957-IV-960, 2007. | | -2006-M. El Ayadi, M. Kamel, and F. Karray, “Time Series Classification using Gaussian Mixture Vector Autoregressive Models”, The UW and IEEE Kitchener-Waterloo Section Joint Workshop on Knowledge and Data Mining, 30-31 October, 2006, University of Waterloo, Ontario, Canada. |
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