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.
Building 1, Level 3, 3139-WS24.
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.
Kalamkas’s research interests include sound source localization, transportation mode recognition, locomotion analytics based on mobile network data.
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.