Dr Mostafa Shahin

Dr Mostafa Shahin

Research Associate
Engineering
Electrical Engineering and Telecommunications

Mostafa Shahin graduated from the Department of Electrical Engineering, Ain Shams University, Giza, Egypt, in 2003 and received the M.Sc. degree in Electronics and Communications Engineering from Cairo University, Cairo, Egypt, in 2015. From 2004, he was in the speech research group at RDI Company, Giza, Egypt. From 2011 to 2018 he was a Research Associate with the Electrical and Computer Engineering Department, Texas A&M University at Qatar, Doha, Qatar. Currently, he is a Ph.D. student in the school of Electrical and Telecommunication Engineering, UNSW, Sydney, Australia. His research focuses on applying machine learning techniques for speech and biomedical signal processing.

  • Book Chapters | 2019
    Nabil M; Ismail M; Mahmoud M; Shahin M; Qaraqe K; Serpedin E, 2019, 'Deep learning-based detection of electricity theft cyber-attacks in smart grid ami networks', in Advanced Sciences and Technologies for Security Applications, pp. 73 - 102, http://dx.doi.org/10.1007/978-3-030-13057-2_4
  • Journal articles | 2023
    Nazih W; Shahin M; Eldesouki MI; Ahmed B, 2023, 'Influence of Channel Selection and Subject’s Age on the Performance of the Single Channel EEG-Based Automatic Sleep Staging Algorithms', Sensors, 23, http://dx.doi.org/10.3390/s23020899
    Journal articles | 2021
    McKechnie J; Shahin M; Ahmed B; McCabe P; Arciuli J; Ballard KJ, 2021, 'An automated lexical stress classification tool for assessing dysprosody in childhood apraxia of speech', Brain Sciences, 11, http://dx.doi.org/10.3390/brainsci11111408
    Journal articles | 2020
    Shahin M; Zafar U; Ahmed B, 2020, 'The Automatic Detection of Speech Disorders in Children: Challenges, Opportunities, and Preliminary Results', IEEE Journal on Selected Topics in Signal Processing, 14, pp. 400 - 412, http://dx.doi.org/10.1109/JSTSP.2019.2959393
    Journal articles | 2019
    Shahin M; Ahmed B, 2019, 'Anomaly detection based pronunciation verification approach using speech attribute features', Speech Communication, 111, pp. 29 - 43, http://dx.doi.org/10.1016/j.specom.2019.06.003
    Journal articles | 2017
    Shahin M; Ahmed B; Hamida STB; Mulaffer FL; Glos M; Penzel T, 2017, 'Deep Learning and Insomnia: Assisting Clinicians with Their Diagnosis', IEEE Journal of Biomedical and Health Informatics, 21, pp. 1546 - 1553, http://dx.doi.org/10.1109/JBHI.2017.2650199
    Journal articles | 2015
    Parnandi A; Karappa V; Lan T; Shahin M; McKechnie J; Ballard K; Ahmed B; Gutierrez-Osuna R, 2015, 'Development of a remote therapy tool for childhood apraxia of speech', ACM Transactions on Accessible Computing, 7, http://dx.doi.org/10.1145/2776895
    Journal articles | 2015
    Shahin M; Ahmed B; Parnandi A; Karappa V; McKechnie J; Ballard KJ; Gutierrez-Osuna R, 2015, 'Tabby Talks: An automated tool for the assessment of childhood apraxia of speech', Speech Communication, 70, pp. 49 - 64, http://dx.doi.org/10.1016/j.specom.2015.04.002
  • Conference Papers | 2023
    Charls D; Shahin M; Ahmed B, 2023, 'Domain and Patient Adversarial Multi-Task Learning for Arrhythmia Classification', in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, http://dx.doi.org/10.1109/EMBC40787.2023.10340285
    Conference Papers | 2023
    Gray R; Shahin M; Valenzuela M; Ahmed B, 2023, 'Predicting Memory Score Using Paralinguistic Features', in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, http://dx.doi.org/10.1109/EMBC40787.2023.10340939
    Preprints | 2023
    Shahin M; Epps J; Ahmed B, 2023, Phonological Level wav2vec2-based Mispronunciation Detection and Diagnosis Method, , http://arxiv.org/abs/2311.07037v1
    Preprints | 2022
    Lu R; Shahin M; Ahmed B, 2022, Improving Children's Speech Recognition by Fine-tuning Self-supervised Adult Speech Representations, , http://arxiv.org/abs/2211.07769v1
    Preprints | 2022
    Shahin M; Ahmed B; Epps J, 2022, Speaker- and Age-Invariant Training for Child Acoustic Modeling Using Adversarial Multi-Task Learning, , http://arxiv.org/abs/2210.10231v2
    Conference Papers | 2022
    Szalay T; Shahin M; Ahmed B; Ballard K, 2022, 'Knowledge of accent differences can predict speech recognition errors', in Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, pp. 1372 - 1376, http://dx.doi.org/10.21437/Interspeech.2022-10162
    Conference Papers | 2020
    Shahin M; Lu R; Epps J; Ahmed B, 2020, 'UNSW system description for the shared task on automatic speech recognition for non-native children's speech', in Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, pp. 265 - 268, http://dx.doi.org/10.21437/Interspeech.2020-3111
    Conference Papers | 2020
    Shahin M; Oo E; Ahmed B, 2020, 'Adversarial Multi-Task Learning for Robust End-to-End ECG-based Heartbeat Classification', in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, pp. 341 - 344, http://dx.doi.org/10.1109/EMBC44109.2020.9175640
    Conference Papers | 2019
    Shahin M; Ahmed B; Smith DV; Duenser A; Epps J, 2019, 'Automatic Screening of Children with Speech Sound Disorders Using Paralinguistic Features', in IEEE International Workshop on Machine Learning for Signal Processing, MLSP, http://dx.doi.org/10.1109/MLSP.2019.8918725
    Conference Papers | 2018
    Ismail M; Shahin M; Serpedin E; Qaraqe K, 2018, 'A Deep Learning Approach for Detection of Electricity Theft Cyber Attacks in Smart Grids', in Qatar Foundation Annual Research Conference Proceedings Volume 2018 Issue 3, Hamad bin Khalifa University Press (HBKU Press), presented at Qatar Foundation Annual Research Conference Proceedings, http://dx.doi.org/10.5339/qfarc.2018.ictpp62
    Conference Papers | 2018
    Ismail M; Shahin M; Shaaban MF; Serpedin E; Qaraqe K, 2018, 'Efficient detection of electricity theft cyber attacks in AMI networks', in IEEE Wireless Communications and Networking Conference, WCNC, pp. 1 - 6, http://dx.doi.org/10.1109/WCNC.2018.8377010
    Conference Papers | 2018
    Nabil M; Ismail M; Mahmoud M; Shahin M; Qaraqe K; Serpedin E, 2018, 'Deep Recurrent Electricity Theft Detection in AMI Networks with Random Tuning of Hyper-parameters', in Proceedings - International Conference on Pattern Recognition, pp. 740 - 745, http://dx.doi.org/10.1109/ICPR.2018.8545748
    Preprints | 2018
    Nabil M; Ismail M; Mahmoud M; Shahin M; Qaraqe K; Serpedin E, 2018, Deep Recurrent Electricity Theft Detection in AMI Networks with Random Tuning of Hyper-parameters, http://arxiv.org/abs/1809.01774v1
    Conference Papers | 2018
    Shahin M; Ahmed B; Ji JX; Ballard K, 2018, 'Anomaly detection approach for pronunciation verification of disordered speech using speech attribute features', in Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, pp. 1671 - 1675, http://dx.doi.org/10.21437/Interspeech.2018-1319
    Conference Papers | 2018
    Shahin M; Ji JX; Ahmed B, 2018, 'One-Class SVMs Based Pronunciation Verification Approach', in Proceedings - International Conference on Pattern Recognition, pp. 2881 - 2886, http://dx.doi.org/10.1109/ICPR.2018.8545687
    Conference Papers | 2018
    Shahin M; Mulaffer L; Penzel T; Ahmed B, 2018, 'A Two Stage Approach for the Automatic Detection of Insomnia', in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, pp. 466 - 469, http://dx.doi.org/10.1109/EMBC.2018.8512360
    Conference Papers | 2016
    Shahin M; Gutierrez-Osuna R; Ahmed B, 2016, 'Classification of bisyllabic lexical stress patterns in disordered speech using deep learning', in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp. 6480 - 6484, http://dx.doi.org/10.1109/ICASSP.2016.7472925
    Conference Papers | 2014
    Shahin M; Ahmed B; McKechnie J; Ballard K; Gutierrez-Osuna R, 2014, 'Comparison of GMM-HMM and DNN-HMM based pronunciation verification techniques for use in the assessment of childhood apraxia of speech', in Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, pp. 1583 - 1587
    Conference Papers | 2013
    Parnandi A; Karappa V; Son Y; Shahin M; McKechnie J; Ballard K; Ahmed B; Gutierrez-Osuna R, 2013, 'Architecture of an automated therapy tool for childhood apraxia of speech', in Proceedings of the 15th International ACM SIGACCESS Conference on Computers and Accessibility, ASSETS 2013, http://dx.doi.org/10.1145/2513383.2513450
    Conference Papers | 2013
    Shahin M, 2013, 'Pronunciation verification method for childhood apraxia of speech assessment tool', in Qatar Foundation Annual Research Forum Volume 2013 Issue 1, Hamad bin Khalifa University Press (HBKU Press), presented at Qatar Foundation Annual Research Forum, http://dx.doi.org/10.5339/qfarf.2013.biop-030
    Conference Papers | 2012
    Shahin M; Ahmed B; Ballard K, 2012, 'A neural network based lexical stress pattern classifier', in Qatar Foundation Annual Research Forum Volume 2012 Issue 1, Hamad bin Khalifa University Press (HBKU Press), presented at Qatar Foundation Annual Research Forum, http://dx.doi.org/10.5339/qfarf.2012.csp22
    Conference Papers | 2012
    Shahin MA; Ahmed B; Ballard KJ, 2012, 'Automatic classification of unequal lexical stress patterns using machine learning algorithms', in 2012 IEEE Workshop on Spoken Language Technology, SLT 2012 - Proceedings, pp. 388 - 391, http://dx.doi.org/10.1109/SLT.2012.6424255