Aims and Scope
Computational and Applied Science Journal (CAS Journal) is an international, peer-reviewed, open-access academic journal dedicated to the dissemination of high-quality scientific research. The journal aims to provide a scholarly platform for researchers, academics, and professionals to present innovative theoretical developments, practical applications, and interdisciplinary studies.
The scope of the journal includes, but is not limited to, the following areas:
Computational and Applied Mathematics
• Numerical analysis and numerical methods;
• Differential equations and dynamical systems;
• Optimization and operations research;
• Discrete mathematics and combinatorics;
• Mathematical modeling in science and engineering.
Scientific and Numerical Computing
• High-performance and parallel computing;
• Distributed and cloud-based scientific computing;
• Large-scale computational simulations;
• Algorithm optimization and performance analysis.
Algorithms and Computational Theory
• Design and analysis of algorithms;
• Data structures and computational complexity;
• Graph algorithms and network algorithms;
• Combinatorial and randomized algorithms.
Artificial Intelligence and Intelligent Systems
• Machine learning and deep learning;
• Natural language processing and computer vision;
• Reinforcement learning and intelligent agents;
• Explainable and trustworthy AI.
Data Science and Analytics
• Data mining and knowledge discovery;
• Big data analytics and large-scale data processing;
• Statistical learning and predictive modeling;
• Business analytics and decision support systems.
Modeling and Simulation
• Computational modeling of complex systems;
• Simulation techniques and system dynamics;
• Stochastic modeling and simulation-based optimization;
• Digital twins and computational experimentation.
Computer Science and Information Technologies
• Software engineering and software systems;
• Computer networks and distributed systems;
• Databases and information systems;
• Cybersecurity and information security;
• Internet of Things (IoT) and embedded systems.
Information Technology Management and Digital Transformation
• IT governance and technology management;
• Digital transformation in organizations and industries;
• IT project management and agile methodologies;
• Information systems and enterprise technologies.
Educational Technologies and Learning Analytics
• Technology-enhanced learning and e-learning systems;
• Learning analytics and educational data mining;
• Learning management systems (LMS) and digital platforms;
• Artificial intelligence in education and adaptive learning.
Innovative and Emerging Technologies
• Blockchain technologies;
• Quantum computing;
• Robotics and autonomous systems;
• Augmented and virtual reality;
• Cyber-physical and smart systems.
CAS Journal also welcomes submissions in other related and interdisciplinary fields associated with the above-mentioned research areas, particularly studies that apply computational and analytical approaches to disciplines such as engineering, economics, healthcare, environmental science, education, and social sciences.
Through its rigorous double-blind peer-review process, CAS Journal aims to promote academic excellence, scientific integrity, and the global exchange of knowledge in computational and applied science.
