GRADUATION 2024

GRADUATION 2023

Azamat Yessengaliyev (M)

Design of Germanium P-type point contact detector ASIC preamplifier

(Main Supervisor: Prof. Mehdi Shafiee)

(FAll 2022 ~ Spring 2023)

Fatima Kozhamkulova (B)

Study and Implementation of Data-Driven Approaches for Signal Decomposition

(Spring 2021 ~Spring 2023)

Sanzhar Yergaliyev (B)

Efficient Hardware Implementation of Adaptive Digital Filters

(Spring 2021 ~)

(Spring 2021 ~Spring 2023)

Zangar Ermaganbet (B)

Application of Spectrogram-based Techniques in Brain Computer Interface (BCI) Applications

(Spring 2021 ~Spring 2023)

Daniyar Zhakyp (B)

Surface Electromyography Signal Processing for a Myoelectric Prosthesis Design

(Spring 2021 ~Spring 2023)

Osman Demirel (B)

Deep Learning for Histopathological Cancer Classification and Localization

(Spring 2021 ~Spring 2023)

GRADUATION 2022

Dair Ungarbayev (B)

Deep Learning-Based Efficient Techniques for Machine Vision Applications

(Spring 2020 ~ Spring 2022)

Nuraly Sarsembay (B)

Computational Auditory Scene Analysis using Signal Processing and Machine Learning Techniques

(Spring 2020 ~ Spring 2022)

Pursuing Maters at NU

GRADUATION 2021

Ruslan Zhagypar (B)

Study and Implementation of Sources Localization Techniques 

(Spring 2019 ~Spring 2021)

Pursuing  Masters at KAUST

Kalamkas Zhagyparova (B)

Study and Implementation of Source Localization Techniques 

(Spring 2019 ~Spring 2021)

Pursuing Masters at KAUST

Ayana Mussabayeva (M)

Meta-Classification of Brain Signals for P300 Speller

(Spring 2019 ~Spring 2021)

Since her graduation she became a part of the NLA group at the University of Manchester (UK) and worked as a teaching assistant (TA) there, teaching Calculus, Programming with Python and Statistical Inference. She is Associate Fellow of Higher Education Academy. 

Currently, she is pursuing her MPhil studies in Applied Mathematics Program  at the University of Manchester. She is working on her MPhil. thesis remotely, and also working (part-time) as a senior lecturer at Kazakh-British Technical University during this spring semester and teaching Electronics & Digital Design course. 

Timur Okhassov (B)

Implementation of Advanced Adaptive Algorithms for Howling Cancellation

(Spring 2019 ~Spring 2021)

Pursuing Masters at NU

Arnat Ashimbayev (M)

Performance Analysis of Multichannel Noise Reduction Algorithms in Digital Hearing Aids

(Spring 2020 ~ Spring 2021)

Nazym Shakirkhozha (M)

Employing Deep Learning Techniques for Classification and Detection of Pediatric Lung Disease Using X-Ray Images

(Spring 2020 ~ Spring 2021)

Main Supervisor: Prof. Adnan YAZICI

Zaur Temirbulatov (B)

Machine Learning Algorithms for Modern Hearing Aids

(Spring 2020 ~ Spring 2021)

GRADUATION 2019

Berik Argimbayev (B)

Active Noise Control in a Duct: Prototype Design and Implementation

(Fall 2018 ~ Spring 2019)