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Theses and Dissertations: Recent submissions

  • PHYSICAL LAYER SECURITY USING MASSIVE MIMO AND RIS TECHNOLOGY 
    Abdrakhmanov, Rakhat (Nazarbayev University School of Engineering and Digital Sciences, 2024-04-19)
    Massive Multiple-Input-Multiple-Output (MIMO) systems and Reconfigurable Intellegent Surfaces (RIS) are considered to be the key technologies for next generations wireless communication, which are aimed to achieve higher ...
  • PREDICTION OF CUSTOMER CHURN USING MACHINE LEARNING 
    Zhunussova, Gaukhar (Nazarbayev University School of Engineering and Digital Sciences, 2024-04-19)
    Companies place great emphasis on Customer Relations Management, in particular the factors related to customer retention, and, conversely, the rate of "churn", the loss and replacement of customers. The prediction of churn ...
  • AIRBORNE PARTICULATE MATTER IN ASTANA, KAZAKHSTAN: POTENTIALLY TOXIC ELEMENTS, LUNG BIOACCESSIBILITY, AND RISK ASSESSMENT 
    Agibayeva, Akmaral (Nazarbayev University, School of Engineering and Digital Sciences, 2024-04-26)
    The degradation of air quality remains one of the most critical environmental concerns. Exposure to airborne pollutants is extensively associated with various health conditions, including respiratory and cardiovascular ...
  • DIGITAL TWIN FRAMEWORK FOR SOLAR POWER PLANTS IN KAZAKHSTAN 
    Kassymkhanov, Shyndaulet; Kazbek, Gani; Alipov, Yerassyl; Meiirbekov, Nurbek (Nazarbayev University School of Engineering and Digital Sciences, 2024-04-24)
    The renewable energy sector (RES) is a fast-growing industry that provides sustainable and clean energy. The adoption and integration of such technologies positively affect the environment and boost the country's economy. ...
  • APPLICATION OF MULTI-WALLED CARBON NANOTUBES IN SLOPE STABILIZATION 
    Ahmadi, Hussain (Nazarbayev University Graduate School of Engineering and Digital Sciences, 2024-04-30)
    Landslides are a common phenomenon that every year causes economic and human losses around the world. It emerges in various geographical places worldwide because of diverse natural circumstances and triggering mechanisms, ...
  • REMOVAL OF AQUEOUS HG(II) ON THE BIMETALLIC CATALYST SURFACE SUPPORTED BY ZEOLITE IMIDAZOLATE FRAMEWORK DERIVED CO@NC 
    Nurmyrza, Meiirzhan (Nazarbayev University School of Engineering and Digital Sciences, 2024-04-30)
    Mercury (Hg) is a toxic chemical derived from both human activities and natural sources. It has adverse effects on the environment and human health. Recognizing these concerns, the maximum permissible concentration for ...
  • AN EMPIRICAL STUDY OF FEDERATED LEARNING AND VIDEO REPRESENTATIONS FOR HUMAN ACTION RECOGNITION 
    Abu, Assanali (Nazarbayev University School of Engineering and Digital Sciences, 2024-04-25)
    This thesis explores the integration of Federated Learning in Human Action Recognition, with a focus on both supervised learning and Few-Shot Learning methodologies using RGB, skeleton, or fusion data. By employing advanced ...
  • ENHANCED OBJECT RECOGNITION IN HEMISPHERICAL IMAGES THROUGH DATA AUGMENTATION AND SYNTHETIC IMAGE INTEGRATION 
    Alaran, Muslim Adedamola (Nazarbayev University School of Engineering and Digital Sciences, 2024-04-23)
    One of the challenges facing the use of fisheye or hemispherical cameras in the task of object recognition despite their wide field of view is the lack of a benchmark dataset and the presence of distortions. Although ...
  • BLOCKCHAIN-BASED IOT SECURITY FRAMEWORK 
    Aiguzhin, Valikhan (Nazarbayev University School of Engineering and Digital Sciences, 2024-04-23)
    Modern IoT systems can be exploited by the intruders due to the single-point failure possibility. There are list of methods addressing this issue, the most promising being Blockchain technology. Nevertheless, the integration ...
  • SEWAGE SLUDGE VALORIZATION: BIOCHAR PRODUCTION FOR ENHANCED ADSORPTION OF CONTAMINANTS 
    Agoe, Andy Kofi (Nazarbayev University Graduate School of Engineering and Digital Science, 2024-12-15)
    Municipal sewage sludge (SS) from wastewater treatment has attracted much interest from the agriculture and energy sectors. However, concerns about harmful contaminants in sewage sludge limit its direct use in developed ...
  • INFLUENCE OF UNSATURATED SOIL PROPERTIES ON ENERGY PILES IN DIFFERENT CLIMATIC CONDITIONS 
    Abilev, Zheniskan (Nazarbayev University Graduate School of Engineering and Digital Sciences, 2024-04-25)
    Global warming has been a hot topic of discussion and focus for research among scientists in recent decades because of threats to human health, biodiversity, natural disasters, and so on. One of the primary drivers of ...
  • FORECASTING MECHANICAL PROPERTIES OF CONCRETE CONTAINING SECONDARY RAW MATERIALS 
    Asif, Usama (Nazarbayev University School of Engineering and Digital Sciences, 2024-04-29)
    Climate change due to the significant release of CO2 from cement industries has become a critical issue worldwide. However, secondary cementitious materials (SCMs), can be used as eco-friendly cement alternatives. Most of ...
  • NANOSTRUCTURED MATERIALS FOR NEXT GENERATION LITHIUM-SULFUR RECHARGEABLE BATTERIES 
    Baikalov, Nurzhan (Nazarbayev University School of Engineering and Digital Sciences, 2023-04-23)
    Lithium-sulfur (Li-S) batteries have become increasingly popular as a viable energy storage solution in recent years, providing an affordable replacement to lithium-ion batteries. Li-S batteries have several inherent ...
  • 3D-PRINTED OSTEOCHONDRAL GRAFTS AND THEIR CHARACTERIZATION 
    Effanga, Victoria Effiong (Nazarbayev University School of Engineering and Digital Sciences, 2024-04-25)
    The osteochondral (OC) interface is a complex tissue with a hierarchical structure found at the ends of the bones of the knee joint consisting of a layer of soft tissue (cartilage) overlaying hard tissue in the subchondral ...
  • DELAYS IN MAJOR CONSTRUCTION PROJECTS: IDENTIFYING THE POTENTIAL PROBLEMS IN THE CONTEXT OF KAZAKHSTAN 
    Orymbetova, Aliya (Nazarbayev University School of Engineering and Digital Sciences, 2024-04-29)
    This study investigates one of the most common problems in the construction sector in Kazakhstan which is the delay of projects. The construction industry is strategically significant in Kazakhstan since it provides servicing ...
  • EXPLORING DATA DISTRIBUTION AND VALUE FUNCTION APPROXIMATION IMPACTS IN OFFLINE REINFORCEMENT LEARNING(RL): FROM GRIDWORLD ENVIRONMENTS 
    Tokayev, Kuanysh (Nazarbayev University School of Engineering and Digital Sciences, 2024-04-23)
    In the emerging landscape of off-policy reinforcement learning (RL), challenges arise due to the significant costs and risks tied to data collection. To address these issues, there is an alternative path for transitioning ...
  • MULTI-LEO SATELLITE NETWORKS FOR INTEGRATED ACCESS AND BACKHAUL 
    Abdulkarim, Abubakar (School of Engineering and Digital Sciences, 2024-04-26)
    Low Earth Orbit (LEO) Satellites have emerged as a promising solution to extend the coverage area of terrestrial networks, particularly in scenarios where ground users are located in remote or inaccessible areas. As such, ...
  • AN EXPLORATION OF VIDEO TRANSFORMERS FOR FEW-SHOT ACTION RECOGNITION 
    Aikyn, Nartay (Nazarbayev University School of Engineering and Digital Sciences, 2024-04-29)
    Action recognition is an essential task in computer vision with many applications in various fields. However, recognizing actions in videos using few examples, often referred to as Few-Shot Learning (FSL), is a challenging ...
  • DIRECT AND INDIRECT MEASUREMENT OF SOIL-FREEZING CHARACTERISTIC CURVE 
    Serikbek, Bakytkul (Nazarbayev University School of Engineering and Digital Sciences, 2024-04-29)
    SWCC (Soil-water characteristic curve) and SFCC (Soil-freezing characteristic curve) are the main concepts describing the properties of unsaturated and frozen soil, respectively. SWCC is the relationship between matric ...
  • IMPLEMENTATION OF MACHINE LEARNING METHODS FOR PREDICTING ENERGY DEMAND OF PCM-INTEGRATED BUILDINGS 
    Aliyeva, Xeniya (Nazarbayev University School of Engineering and Digital Sciences, 2024-04-29)
    Numerous machine learning methods have been employed to predict the energy consumption of PCM-integrated buildings. However, the following research gaps have not been addressed yet. 1) Most researchers developed prediction ...