Aims and Scope

Aim
The Asian Journal of Computer Science and Technology (AJCST) aims to advance scholarship in computer science, computing technologies, software systems, and information systems by publishing rigorous theoretical, empirical, methodological, and application-oriented research. The journal provides an international forum for research that contributes to the development, analysis, implementation, and evaluation of computational methods, computer systems, software technologies, intelligent applications, and digital infrastructures.

AJCST encourages research addressing algorithms, artificial intelligence, data science, computing systems, software engineering, computer networks, cybersecurity, human-computer interaction, cloud and distributed computing, and emerging computational technologies. The journal welcomes interdisciplinary applications where the principal scholarly contribution relates clearly to computer science, computing methodology, software, information systems, or computational technology.

Scope of the Journal
AJCST publishes original research articles, review articles, and case studies in areas including:

  • Algorithms, data structures, and computational methods
  • Artificial intelligence, machine learning, and deep learning
  • Natural language processing, generative artificial intelligence, and intelligent systems
  • Data science, data mining, big data analytics, and knowledge discovery
  • Database systems, data management, and information systems
  • Software engineering, software architecture, testing, maintenance, and software quality
  • Computer networks, network architectures, and communication systems
  • Cybersecurity, information security, privacy, and secure computing
  • Cloud computing, distributed systems, parallel computing, and edge computing
  • Internet of Things, mobile computing, and ubiquitous computing
  • Operating systems, computer architecture, and high-performance computing
  • Embedded systems, real-time systems, and cyber-physical systems
  • Human-computer interaction, user interface technologies, and interactive systems
  • Computer vision, image processing, pattern recognition, and multimedia computing
  • Computer graphics, visualization, and virtual or augmented environments
  • Robotics, autonomous systems, and intelligent automation
  • Scientific computing, numerical methods, modelling, and simulation
  • Computational theory, formal methods, and optimization
  • Web technologies, web science, semantic technologies, and internet-based systems
  • Blockchain, decentralized computing, and distributed ledger technologies
  • Bioinformatics, health informatics, and computational approaches to biological and healthcare data
  • Educational technologies, computer science education, and technology-supported learning
  • Responsible, explainable, trustworthy, and ethical artificial intelligence
  • Computational applications in engineering, healthcare, agriculture, business, education, and other domains where the primary contribution is methodological or technological advancement in computer science

Readership
The journal is intended for an international readership of researchers, academics, computer scientists, software engineers, data scientists, information systems professionals, educators, practitioners, and technology-oriented scholars working in the areas covered by the journal.

Types of Articles

  • Original research articles
  • Review articles
  • Case studies

Originality and Relevance
Submitted manuscripts must present original scholarly work relevant to the journal's stated scope. Work submitted to AJCST must make a clear contribution to computer science, computing technologies, software engineering, information systems, computational methods, or their scientifically grounded applications.

Manuscripts that primarily address another discipline without a substantive contribution to computer science or computational methodology are outside the journal's scope. Application-oriented studies should clearly demonstrate the computational, methodological, algorithmic, systems, or technological contribution of the work.