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Turdalyuly Mussa

Turdalyuly Mussa

Ph.D.

Associate Professor

Institute of Automation and Information Technologies

Department of Software Engineering

Email: m.turdalyuly@satbayev.111

H-index:
3

PhD count:
3
scopus orcid google-scholar web-of-science Rinc

Professional biography

2011-2014 - KBTU JSC, Manager

2014-2015 - KBTU JSC, Head of the sector

2015-2016 - IEIT KBTU LLP, Head of the laboratory

2016-2017 - KBTU JSC, Head of the sector

2017-2018 - IICT CS MES RK , Junior researcher

2018-2020 - IICT CS MES RK , Software engineer

2020-2021 - KazNRTU named after K. I. Satbayev, Head of the Department of "Software engineering"

Since 09.2021 - KazNRTU named after K. I. Satbayev, associate-professor of the Department of "Software engineering"

Education

2007-2011 - KazNRTU named after K. I. Satbayev, IC&IT, 5B070300-Information systems, bachelor's degree

2011-2014 - KazNRTU named after K. I. Satbayev,  IC&IT, 6M070300-Information systems, master's degree

2015-2018 - Al-Farabi Kazakh National University(KazNU), 6D070400-Computer engineering and software, PhD

Scientific projects

2018-2020 yy. - "Development of multilingual automatic speech recognition technology using deep neural networks"

"Development of the Kazakhstan segment of secure cross-border information interaction".

Publications

1. "Speech Recognizer-Based Non-Uniform Spectral Compression for Robust MFCC Feature Extraction" - Przeglad Elektrotechniczny, № 94(6), 2018

2. "Automatic Recognition of Kazakh Speech Using Deep Neural Networks" - 11th Asian Conference, ACIIDS 2019, Yogyakarta, Indonesia, 2019, Proceedings, Part II

3. "Continuous Speech Recognition of Kazakh Language" - AMCSE 2018 - International Conference on Applied Mathematics, Computational Science and Systems Engineering, Rome, Italy, Vol. 24, 2019

4. "Clusterization by the K-means method when K is unknown" - AMCSE 2018 - International Conference on Applied Mathematics, Computational Science and Systems Engineering, Rome, Italy, Vol. 24, 2019

5. "Persian sentences to phoneme sequences conversion based on recurrent neural networks" - Open Computer Science, № 6, 2016

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