About the Journal

Computational Discovery and Intelligent Systems (CDIS) is an international, peer-reviewed, open-access journal published by the SIRG Publisher. The journal is devoted to advancing research at the intersection of computational intelligence, artificial intelligence, and intelligent system design. CDIS provides a scholarly platform for disseminating high-quality original research, comprehensive reviews, and application-oriented studies that promote discovery through computation and intelligent methodologies.

Aims and Scope

Computational Discovery and Intelligent Systems (CDIS) is an international, peer-reviewed journal that publishes high-quality original research articles, review papers, and surveys addressing theoretical foundations, computational methodologies, and intelligent systems with a strong emphasis on discovery-driven and data-centric approaches.

The journal welcomes contributions in (but not limited to) the following areas:

1. Artificial Intelligence & Machine Learning

  • Deep learning, reinforcement learning, and advanced neural architectures

  • Explainable Artificial Intelligence (XAI) and model transparency

  • Transfer learning, domain adaptation, and continual learning

  • Multi-modal, hybrid, and neuro-symbolic intelligent systems

  • AI-driven discovery in scientific and engineering domains

2. Computational Science & Modeling

  • Computational discovery, simulation, and high-performance computing

  • Data-driven and physics-informed modeling

  • Complex systems analysis and computational optimization techniques

  • Digital twins and computational experimentation frameworks

  • Uncertainty-aware and robust computational models

3. Data Science & Analytics

  • Big data analytics, data mining, and knowledge discovery

  • Graph analytics, network intelligence, and relational learning

  • Statistical learning, probabilistic modeling, and uncertainty quantification

  • AI-based predictive and prescriptive analytics in multidisciplinary applications

4. Intelligent Systems & Applications

  • Intelligent control systems and autonomous robotics

  • Smart cities, Internet of Things (IoT), and cyber-physical systems

  • Decision support systems and intelligent optimization

  • Intelligent healthcare systems and biomedical computation

5. Cybersecurity, Cryptography & Intelligent Security Systems

  • Quantum cryptography and post-quantum cryptographic systems

  • AI-enhanced cryptographic protocols and secure communication

  • Intelligent threat detection and cyber defense systems

  • Privacy-preserving computation and secure data analytics

  • Machine learning for security, forensics, and intrusion detection

6. Emerging Intelligent Computing Paradigms

  • Quantum computing and quantum-inspired algorithms

  • AI for quantum systems and hybrid quantum–classical models

  • Computational intelligence for next-generation communication systems

  • Trustworthy, ethical, and reliable intelligent systems

Article Types

  • Original Research Papers
  • Review Articles
  • Short Communications / Technical Notes
  • Application Case Studies
  • Special Issue Papers (by invitation or proposal) 

Interdisciplinary research that integrates computational methods with domains such as chemistry, materials science, environmental studies, bioinformatics, or social sciences is particularly encouraged.

Open Access Policy

CDIS operates under a fully open access model with no publication or processing charges. All published papers are immediately available online without restrictions, supporting equitable access to scientific knowledge worldwide. Articles are distributed under the Creative Commons Attribution (CC BY) license, permitting unrestricted use, distribution, and reproduction provided the original work is properly cited.

Copyright Notice

Authors retain full copyright of their published articles. By submitting their manuscripts, authors grant CDIS the right of first publication while allowing reuse and distribution under the CC BY license. Authors are responsible for securing permission for any copyrighted content used within their manuscripts.

Peer Review Policy

All submissions undergo a rigorous double-blind peer review process to ensure academic integrity, originality, and scientific relevance. Each manuscript is reviewed by at least two experts in the field, and decisions are based on the quality, clarity, and contribution to knowledge.

Archiving and Digital Preservation

CDIS is preserved in the LOCKSS and CLOCKSS archival systems to ensure permanent accessibility and long-term preservation of its published content. The journal also supports self-archiving by authors and inclusion in institutional and subject repositories.

Publication Ethics

CDIS adheres to the ethical standards of the Committee on Publication Ethics (COPE). Plagiarism, duplicate publication, and data manipulation are strictly prohibited. Editors, reviewers, and authors must follow transparent and responsible research and publishing practices.

Sponsorship and Funding Disclosure

The journal is sponsored and managed by the SIRG Publisher. CDIS does not receive external advertising or commercial sponsorship and does not charge authors or readers. The publication is sustained by institutional and editorial board support to promote open and ethical research dissemination.

Privacy Statement

The names, affiliations, and contact details provided to CDIS are used exclusively for the editorial and publication process and will not be shared with any other organization. The journal complies with international privacy and data protection standards, including GDPR.

History of the Journal

Founded in 2025, Computational Discovery and Intelligent Systems (CDIS) was established by the Scientific Innovation Research Group (SIRG) to promote the integration of computation and intelligent analysis across scientific and engineering domains. The journal’s mission is to accelerate global collaboration in the development of intelligent systems that drive discovery, innovation, and societal progress.

Contact

Editorial Office – Computational Discovery and Intelligent Systems (CDIS)

Publisher: SIRG Publisher

Email:  editorialoffice@pub.scientificirg.com

Website: https://pub.scientificirg.com/index.php/CDIS/en/index 

ISSN (Online): Pending

ISSN (Print): Pending