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Education Profile:

Kalamkas Zhagyparova received the B.Eng. degree in electrical and electronics engineering from the School of Engineering and Digital Sciences, Nazarbayev University, Kazakhstan, in 2021.

Research Interests:

Kalamkas’s research interests include sound source localization, transportation mode recognition, locomotion analytics based on mobile network data.


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Selected Publications

K. Zhagyparova, R. Zhagypar, A. Zollanvari and M. T. Akhtar, "Supervised Learning-based Sound Source Distance Estimation Using Multivariate Features," 2021 IEEE Region 10 Symposium (TENSYMP), pp. 1-5,2021.
. Zhagypar, K. Zhagyparova and M. T. Akhtar, "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), 2020, pp. 236-241.
R. Zhagypar, K. Zhagyparova and M. T. Akhtar, "Spatially Smoothed TF-Root-MUSIC for DOA Estimation of Coherent and Non-Stationary Sources Under Noisy Conditions," in IEEE Access, vol. 9, pp. 95754-95766, 2021.