MS/PhD Student, Electrical and Computer Engineering King Abdullah University of Science and Technology (KAUST),
Research Interests
- Sound source localization.
- Transportation mode recognition.
- Locomotion analytics based on mobile network data.
Qualifications
Education
- Bachelor of Engineering (B.Eng.)
- Electrical and Electronics Engineering, Nazarbayev University, Kazakhstan, 2021
- English
- Full professional proficiency
- French
- Elementary proficiency
Languages
Quote
KAUST is a great place for students all over the world to unlock their potential and get high-quality education in the most exciting learning environment.
Selected Publications
- Zhagyparova, K. ., Bader, A. ., Kouzayha, N. ., ElSawy, H. ., & Al-Naffouri, T. . (2023). Transportation Mode Recognition based on Cellular Network Data. IEEE International Conference on Smart Mobility (SM). Presented at the. Thuwal, Saudi Arabia: IEEE.
- Zhagyparova, K. ., Zhagypar, R. ., Zollanvari, A. ., & Akhtar, M. T. (2021). Supervised Learning-based Sound Source Distance Estimation Using Multivariate Features. 2021 IEEE Region 10 Symposium (TENSYMP). Presented at the. IEEE.
- Zhagypar, R. ., Zhagyparova, K. ., & Akhtar, M. T. (2021). Spatially Smoothed TF-Root-MUSIC for DOA Estimation of Coherent and Non-Stationary Sources Under Noisy Conditions.
- Zhagypar, R. ., Zhagyparova, K. ., & Akhtar, M. T. (2020). Exploiting the rules of the TF-MUSIC and spatial smoothing to enhance the DOA estimation for coherent and non-stationary sources. 2020 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC). Presented at the. Auckland, New Zealand: IEEE.
