Westren Caspian University

Journal of Smart Technologies and Computational Systems


Aim

Journal of Smart Technologies and Computational Systems is an international peer-reviewed academic journal dedicated to advancing research at the intersection of intelligent technologies, computational modeling, and next-generation digital systems. The journal aims to publish original studies that contribute to the theory, design, optimization, and application of smart, autonomous, and computationally intensive systems. The scope of the journal encompasses cutting-edge developments in smart technologies, intelligent computing, cyber-physical systems, and advanced engineering methodologies that shape modern digital infrastructure and industry. The journal welcomes interdisciplinary contributions that bridge engineering, computer science, data analytics, and system design.

Scopes

1. Smart Technologies and Intelligent Systems

  • Smart devices, smart grids, smart manufacturing
  • Autonomous and embedded intelligent systems
  • Intelligent control, adaptive algorithms, and optimization
  • Applications of AI in engineering and industry

2. Computational Systems and Modeling

  • Computational intelligence, numerical modeling, simulation
  • High-performance computing (HPC) and distributed systems
  • Algorithm design, complexity analysis, and system optimization
  • Computational methods in engineering and applied sciences

3. Cyber-Physical Systems (CPS) and Automation

  • Industry 4.0 systems and smart production environments
  • Robotics, automation engineering, and autonomous agents
  • Integrated CPS architectures, real-time monitoring and control
  • Digital twins and virtual simulation platforms

4. Data-Driven Engineering and Big Data Analytics

  • Data mining, statistical modeling, and predictive analytics
  • Engineering applications of data science and machine learning
  • Big Data infrastructures and computational pipelines
  • Decision-support systems for industrial and smart environments

5. Cloud Computing, IoT, and Networked Systems

  • Internet of Things (IoT) architectures and security
  • Cloud-based computational frameworks (IaaS, PaaS, SaaS)
  • Edge and fog computing for real-time intelligent systems
  • Sensor networks, communication technologies, and system integration

6. Cybersecurity for Computational and Smart System

  • Security of cyber-physical infrastructures
  • Cryptographic protocols, blockchain applications in engineering
  • Threat detection, risk assessment, and secure systems design
  • Privacy-preserving algorithms and trusted computing

7. Smart Cities and Intelligent Infrastructure

  • Smart city platforms, urban informatics, and intelligent mobility
  • Digital governance and smart public services
  • Urban automation, sensor-based monitoring, and sustainability
  • Modeling and optimization of smart infrastructure systems

8. Digital Education and E-Learning Technologies

  • Digital pedagogy and innovative teaching models
  • E-learning system design and evaluation
  • Learning analytics and adaptive learning systems
  • AI-enhanced educational technologies

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