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11th International Conference on Digital Technologies in Education, Science and Industry

February 24-25, 2027, Almaty

About 11th International Conference on Digital Technologies in Education, Science and Industry (DTESI 2027)
February 24-25, 2027, Almaty

Conference Scope

The 11th International Conference on Digital Technologies in Education, Science and Industry (DTESI 2027) covers a wide range of research areas, including but not limited to computer science, technology and engineering management, communications, computational intelligence, robotics and automation, as well as signal processing.

This event represents an important platform for the scientific community of Kazakhstan, bringing together business professionals, scientists, researchers, specialists, and students from various fields of the IT industry both locally and internationally. It provides opportunities for participants to share their experience, broaden and deepen their knowledge and perspectives on specific topics, expand professional networks, and contribute to addressing current challenges and trends in IT. The conference can also serve as a starting point for generating ideas aimed at the implementation of governmental programs and the advancement of research and development initiatives.

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The general Tracks of the Conference

Computational Intelligence

  • Machine Learning, Deep Learning
  • Neural Networks, Representation Learning
  • Computer Vision, Image/Video Analysis
  • Natural Language Processing, Large Language Models
  • Explainable, Trustworthy and Robust AI
  • Data Mining, Knowledge Discovery
  • Big Data Analytics, Scalable Learning
  • Fuzzy Systems and Soft Computing

Computer Science and Communications

  • Computer Organizations and Architectures
  • Operating Systems, Software Systems, and Cloud Computing
  • Real-time, Mobile and Embedded Systems
  • Digital Devices, Computer Components, and Interconnection Networks
  • Specification, Design, Prototyping, and Testing Methods and Tools
  • Performance, Fault Tolerance, Reliability, Security, and Testability
  • Case Studies, Experimental and Theoretical Evaluations
  • Wireless and Wired Communications

Robotics and Automation

  • Autonomous Robots and Intelligent Systems
  • Motion Planning and Navigation
  • Control Systems and Adaptive Control
  • Human-Robot Interaction
  • Multi-Robot and Swarm Systems
  • Machine Learning for Robotics
  • Industrial and Service Robotics
  • Embedded and Edge AI for Robotics

Educational Technology

  • Learning Technologies and Digital Education
  • Global Engineering Education
  • Teaching Methods and Curriculum Development
  • Assessment and Learning Analytics
  • Electrical and Electronic Engineering Education
  • E-Learning and AI in Education
  • XR (AR/VR) and Immersive Learning
  • Sustainable Development, Green IT, and Ethics in Education