Journal of AI, Data Science and Cyber Systems

The Journal of AI, Data Science, and Cyber Systems is an international, peer-reviewed, open-access journal covering research in artificial intelligence, data science, computing infrastructures, cybersecurity, and cyber-enabled systems. The journal welcomes theoretical, methodological, computational, and application-oriented research involving intelligent algorithms, data-driven methods, secure computing, and interdisciplinary applications.

The journal encourages research that integrates computer science, engineering, information systems, mathematics, and relevant application domains, including studies addressing ethical, explainable, privacy-aware, secure, and trustworthy use of intelligent technologies.

Submissions are welcomed across a broad range of areas, including but not limited to:

Artificial Intelligence & Intelligent Systems

• Artificial intelligence, machine learning, and deep learning methodologies
• Generative AI, foundation models, and large-scale intelligent systems
• Natural language processing and human-computer interaction
• Computer vision and multimedia intelligence systems
• Knowledge representation, reasoning, and decision-making systems
• Explainable, ethical, and trustworthy AI

Data Science & Advanced Analytics

• Data science, big data analytics, and data mining techniques
• Predictive analytics and intelligent decision support systems
• Statistical modeling and probabilistic computing methods
• Data engineering, integration, and data management systems
• Data visualization and high-dimensional data interpretation

Cyber Systems & Security

• Cybersecurity, privacy, and secure communication technologies
• Cyber-physical systems and intelligent networked environments
• Blockchain technologies and decentralized systems
• Adversarial machine learning and secure AI systems
• Distributed, resilient, and fault-tolerant cyber infrastructures

Computing Technologies & Digital Infrastructure

• Cloud computing, edge computing, and fog computing paradigms
• High-performance, parallel, and distributed computing systems
• Internet of Things (IoT) and smart interconnected systems
• Real-time systems and embedded intelligent technologies
• Computational modeling, simulation, and optimization techniques

Engineering & Applied Scientific Systems

• Interdisciplinary engineering and advanced technological systems
• Civil, mechanical, electrical, and chemical engineering applications
• Mathematics and algorithmic foundations of intelligent systems
• Applied sciences integrated with AI and computational methods
• Physics, chemistry, and material sciences in computational contexts
• Earth sciences, environmental systems, and sustainability studies
• Agriculture and ecological systems supported by intelligent technologies
• Astronomy, astrophysics, and space-related computational research

Life Sciences & Healthcare Technologies

• Medical sciences and AI-enabled healthcare systems
• Bioinformatics, biotechnology, and computational biology
• Clinical data analysis and intelligent diagnostic systems
• Public health analytics and epidemiological modeling
• Digital health systems and precision medicine

Social Sciences, Humanities & Knowledge Systems

• Economics, finance, and business analytics
• Business management, public relations, and organizational systems
• Management science and decision-making frameworks
• Social sciences and interdisciplinary societal studies
• Psychology and behavioral data analysis
• Political science, governance, and policy systems
• Education and intelligent learning technologies
• History and archaeological research
• Philosophy and knowledge systems
• Language, linguistics, and communication studies
• Literature and cultural analysis
• Library and information science

Creative Systems & Human-Centered Technologies

• Architecture and smart built environments
• Arts, music, and creative digital systems
• Painting, photography, and visual communication
• Recreation, entertainment, and sports analytics
• Human-centered computing and user experience design

Multidisciplinary & Integrative Research

• Multidisciplinary and cross-domain research contributions
• Integration of AI, data science, and cyber systems across domains
• Interdisciplinary science, technology, and knowledge systems
• Technology-driven research addressing societal and industrial challenges

The journal welcomes research that combines methods, theories, datasets, technologies, or perspectives from multiple disciplines where such integration is relevant to the research question.