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    3rd TAGRA

    Oct 16 – 18, 2026 HYBRID
    Gumushane
    Europe/Istanbul timezone

    Contact at TAGRA

    Session

    AI, ML, NLP

    Oct 17, 2026, 2:05 PM
    Gumushane University (Gumushane)

    Gumushane University

    Gumushane

    Gumushane University Campus, Gumushane, Türkiye

    Presentation materials

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    1. 5. Machine Learning-Driven Assessment of Epistemic Orientation and Mental Polarity in Higher Education Students
      Dmitriy GAKH (Department of Mathematics and Digital Technologies, Odlar Yurdu University, Baku, Azerbaijan)
      10/17/26, 2:05 PM
      AI, ML, NLP and Computer Vision
      Keynote Talk

      The rapid integration of artificial intelligence (AI) into education presents a critical challenge: institutions lack scalable, theoretically grounded tools to assess students' underlying cognitive and epistemic dispositions toward knowledge and technology. Understanding these dispositions is essential for personalizing learning and identifying potentially maladaptive patterns. This study...

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    2. 17. Patient-Specific Bone Fracture Assessment Using Finite Element Analysis and Explainable Machine Learning
      Dr Hamid ZAMANLOU (Mechanical Engineering, Faculty of Engineering, Atatürk University, Erzurum, Türkiye)
      10/17/26, 2:20 PM
      AI, ML, NLP and Computer Vision
      Oral Presentation

      Accurate prediction of bone fracture probability and identification of areas susceptible to damage is an important challenge in biomechanics and medical engineering. This study aimed to develop a framework for bone fracture risk assessment, combining Finite Element Analysis (FEA) and Explainable Machine Learning (XAI). By applying loading conditions related to standing and walking postures,...

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    3. 21. Relational Geometry as a Foundation for Human-Like Artificial Intelligence
      Prof. Isayeva ELMIRA (Institute of Physics, Ministry of Science and Education of the Republic of Azerbaijan, Baku, Az-1143, Javid av.33, Azerbaijan)
      10/17/26, 2:35 PM
      Quantum, Embedded, Edge and Cyber-Physical Computing Systems
      Oral Presentation

      This research explores a theoretical foundation for an intelligent machine capable of human-like reasoning through relational geometry, context, and self-reference. It proposes a framework for Quantum-Relational Artificial Intelligence based on Self-Referential Focal Relations (SRFR). The main idea is to represent information not simply as separate objects or states, but through the...

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    4. 56. Preparing Students for ICT Jobs: an AI-DevSecOps Framework for a Major-Specific Computer Networks Course
      Dr Gulshat MUHAMETJANOVA (University of Central Asia)
      10/17/26, 2:50 PM
      AI, ML, NLP and Computer Vision
      Oral Presentation

      This study investigates how an artificial intelligence (AI)-DevSecOps framework can support the modernization of major-specific ICT education and the alignment of course content with contemporary industry requirements. A comparative case study was conducted for the “Computer Networks” course at the University of Central Asia using teaching materials from the fall semesters of the 2022/2023 and...

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