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.
Location:
Building 1, Level 3, 3139-WS24.
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.
Website:
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.
