About the Journal

International Journal of Digital Technologies and Intelligent Systems

The International Journal of Digital Technologies and Intelligent Systems (IJDTIS) is a peer-reviewed, open-access international journal committed to disseminating cutting-edge, high-impact research at the intersection of digital technologies, artificial intelligence, software engineering, and intelligent systems.

IJDTIS serves as a premier forum for computer scientists, software architects, AI researchers, information systems scholars, and engineering practitioners to publish original research, systematic reviews, and industrial case studies that address theoretical frontiers and transformative practical applications.

Aims & Scope

The journal covers a broad spectrum of topics, including but not limited to:

  • Artificial Intelligence & Machine Learning: Deep learning, natural language processing, computer vision, generative AI, explainable AI (XAI), reinforcement learning, and autonomous decision systems.
  • Data Science & Big Data Engineering: Advanced predictive analytics, knowledge graphs, distributed streaming architectures, and intelligent data mining.
  • Cloud, Fog & Edge Computing: Microservices, container orchestration, serverless computing, edge intelligence, and IoT systems.
  • Cybersecurity, Zero Trust & Privacy: Cryptography, blockchain and distributed ledger technologies, zero trust architectures, privacy-preserving machine learning, and digital identity management.
  • Software Engineering & System Architecture: Software evolution, agile methodologies, formal verification, low-code/no-code platforms, and high-performance computing.
  • Digital Transformation & Intelligent Governance: Smart cities, e-government platforms, sovereign digital infrastructure, healthcare informatics, and digital twin technology.

Publication Frequency & Open Access

IJDTIS is published semi-annually (2 issues per volume/year) with continuous online publication. All articles are published under the Creative Commons Attribution 4.0 International License (CC BY 4.0), ensuring immediate and free worldwide access.


Editorial Leadership & Governance

Editor-in-Chief & Scientific Director
AA

Prof. Dr. Ahmad Althunibat

Stanford Top 2% Scientist (4 Consecutive Years)
Professor of Information Science and Software Engineering
Ph.D. in Information Science / Software Engineering — National University Malaysia Former Head of Software Engineering Dept. (2016–2023)
Faculty of Science and Information Technology, Al-Zaytoonah University of Jordan, Amman, Jordan
Top 2% Scientist (Elsevier / Stanford)
14+ Years Teaching (UG & PG)
50+ Journal Papers
26 Conference Papers
~US$121,000 Research Funding
Research Interests & Specializations:
Applied Machine Learning & Data Science Business Intelligence & Data Analytics Requirements Engineering Software Testing & Quality Assurance Mobile & Smart Government Services Technology Adoption & User Experience (UX) E-Learning & Mobile Learning Big Data Quality
Technology Leadership & Innovation Development
YK

Dr. Yousef Kamal Yousef Khaleel

Chief Technology Officer & Innovation Development Director
Business Square Technology for Information Technology
Software Engineering Artificial Intelligence & Intelligent Systems Cloud Computing Systems Analysis & Design Business Process Automation (BPA) Enterprise Resource Planning (ERP) Enterprise Architecture Digital Transformation
Technical Editorial Office & Publishing Systems
MS

Mahmoud Shaban

Technical Editor & Managing Production Director
Project Manager & Digital Library Specialist — Business Square
Technical Editorial Office, IJDTIS / Business Square
Digital Transformation & Information Systems
Metadata & DOI Architecture
Multidisciplinary Project Delivery
Editorial Governance & Recruitment

Call for Editorial Board Members & Advisory Council

As an inaugural open-access journal dedicated to pioneering discoveries in digital technologies and intelligent systems, the International Journal of Digital Technologies and Intelligent Systems (IJDTIS) is currently constituting its International Editorial Board, Academic Editors, and Advisory Council for Volume 1 (2026).

Priority Research Disciplines
Artificial Intelligence & Machine Learning, Cloud/Edge Computing, Cybersecurity & Privacy Protocols, Autonomous IoT & Cyber-Physical Systems, Data Science & Big Data Engineering, and Formal Software Architecture.
Scholarly Responsibilities
Overseeing double-blind peer review workflows, advising on thematic research directions, upholding COPE publication ethics, and curating high-impact special issues.
Candidate Qualifications
Ph.D. or equivalent in Computer Science or related fields, an established international publication track record in indexed venues, and active commitment to rigorous peer review.