🧪 🔬 Presented work

Paper 1. «Digital Twins in Intelligent Control and Automation»
Authors: Gulshat Amirkhanova, Gulnur Tyulepberdinova, Nazargozha Abdulkhamit, Madiyar Zauranbek, Dinara Zhaisanova
Summary: A comprehensive analysis of digital twin technology in intelligent control and automation systems—key technologies, application areas, economic impact, and implementation barriers. Particular attention is paid to practical examples in the food industry and AI integration.
📄 IEEE Xplore · DOI: 10.1109/CEII65291.2024.00029

Paper 2. «AI-Enabled Digital Twins: Soft Computing Methods for Industrial Data Mining»
Authors: Murat Kunelbayev, Bauyrzhan Amirkhanov, Madiyar Zauranbek, Nazargozha Abdulkhamit, Saltanat Adilzhanova, Tomiris Nurgazy
Summary: An overview of digital twin principles, market trends, technologies, and modeling methods. Focus on the food industry—traceability, quality control, and supply chain resilience through the combination of IoT data, AI models, and cloud-edge computing.
📄 IEEE Xplore · DOI: 10.1109/ICNGN63705.2024.10871831

Paper 3. «Application of Machine Learning Algorithms in Digital Twin Monitoring Systems: An Overview of Approaches, Methods, and Prospects»
Authors: Gulshat Amirkhanova, Bauyrzhan Amirkhanov, Gulnur Tyulepberdinova, Timur Ishmurzin
Summary: A review of machine learning algorithms for digital twins, from classical ensemble models to deep learning and reinforcement learning. Anomaly detection, failure prediction, interpretability, concept drift, and the role of MLOps are discussed.
📄 IEEE Xplore · DOI: 10.1109/ICNGN63705.2024.10871832

Paper 4. «Dynamic Systems Simulation Using Digital Twins: Approaches, Technologies, and Applications»
Authors: Bauyrzhan Amirkhanov, Murat Kunelbayev, Saltanat Adilzhanova, Dinara Zhaisanova, Gulnur Tyulepberdinova, Alikhan Amirkhanov
Summary: A review of modern methods for simulating dynamic systems using digital twins and their application in manufacturing, healthcare, urban planning, and energy. Key barriers to industrial implementation are discussed: data integration, scalability, security, and lack of standardization.
📄 SPIE, Proc. Vol. 13649 · DOI: 10.1117/12.3065298

Paper 5. «Using Artificial Intelligence to Create 3D Model of Manufacturing Equipment»
Authors: Tomiris Nurgazy, Gulshat Amirkhanova, Bauyrzhan Amirkhanov, Gulnur Tyulepberdinova, Nurbol Nurgazy, Miras Toktasyn
Summary: A comparison of generative AI services (Meshy.ai, Masterpiece X, Sloyd.ai) for automating the creation of 3D models of production equipment using the example of the MMT-ST-1000 chocolate tempering tank. Evaluation based on accuracy, detail, geometric integrity, and polygon count.
📄 SPIE, Proc. Vol. 13649 · DOI: 10.1117/12.3065594

Paper 6. «Privacy Bubbles for Digital Twin Interaction in the Metaverse»
Authors: Gulshat Amirkhanova, Murat Kunelbayev, Saltanat Adilzhanova, Dinara Zhaisanova, Miras Tokhtassyn, Tomiris Nurgazy, Alikhan Amirkhanov
Summary: The Privacy Bubble user interface concept for intuitive privacy management when interacting with digital twins in the metaverse. The user dynamically adjusts the visibility of their twin’s sensitive attributes.
📄 SPIE, Proc. Vol. 13649 · DOI: 10.1117/12.3065296