Open Access
Peer-Reviewed

Advanced Data Science and Computational Intelligence
(Annual (One issue per year))

Journal Logo

Editorial Board

Dr Zahid Khan

Dr Zahid Khan (MD, FRCP)
(Editor-in-Chief)

Professor
Medicine and Dentistry, James Cook University
Australia
[Institutional Profile Link]
Prof Pascal Lorenz

Prof Pascal Lorenz (Ph.D)
(Editor-in-Chief)

Professor
Department of Computer Science, University of Haute-Alsace
France
[Institutional Profile Link]
Yufei Zhao

Yufei Zhao (Ph.D)
(Editor-Member)

Founder and CEO
School of Electrical and Electronic Engineering, Nanyang Technological University
Singapore
[Institutional Profile Link]
Sindhura Kannappan

Sindhura Kannappan (Ph.D)
(Editor-Member)

Assistant Professor
Department of Management Studies, MEASI Institute of Management
India
[Institutional Profile Link]
Deyu Lin

Deyu Lin (Ph.D)
(Editor-Member)

Associate Professor
School of Software, Nanchang University
China
[Institutional Profile Link]
Rahymova Aigerim

Rahymova Aigerim (Ph.D)
(Editor-Member)

Senior Lecturer
Mecanics and Mathematics, L.N. Gumilyov Eurasian National University
Kazakhstan
[Institutional Profile Link]
Saif Talal Bahar

Saif Talal Bahar (Msc)
(Editor-Member)

Lecturer
Department of Electromechanical Techniques, Middle Technical University
Iraq
[Institutional Profile Link]

Article Processing Timeline

2-5
Days
Initial Quality & Plagiarism Check
15-30
Days
Peer Review Feedback
45-60
Days
Total Article Processing Time

About the Journal

The Journal of Advanced Data Science and Computational Intelligence is an international, peer-reviewed, open-access scholarly journal dedicated to publishing high-quality research that advances the fields of data science, artificial intelligence, machine learning, computational intelligence, and intelligent computing technologies. The journal serves as a multidisciplinary platform for researchers, academicians, engineers, industry professionals, and policymakers to disseminate innovative scientific discoveries, emerging methodologies, and practical solutions that address complex challenges through data-driven and intelligent technologies.

The journal welcomes original research articles, review articles, case studies, short communications, technical notes, and perspective papers covering both theoretical developments and real-world applications. It publishes research across a broad spectrum of topics, including data analytics, big data engineering, machine learning, deep learning, computational intelligence, natural language processing, computer vision, predictive modeling, optimization algorithms, cloud and edge computing, Internet of Things (IoT), cybersecurity, explainable and trustworthy AI, intelligent automation, scientific computing, generative artificial intelligence, foundation models, and other emerging intelligent technologies.

Recognizing the interdisciplinary nature of modern computing research, the journal encourages contributions that integrate data science and computational intelligence with diverse scientific and industrial domains. Areas of application include healthcare and precision medicine, finance and FinTech, cybersecurity, smart cities, manufacturing, engineering, agriculture, environmental sustainability, transportation, education, robotics, geospatial intelligence, business intelligence, and digital transformation. The journal also promotes research addressing ethical AI, responsible innovation, AI governance, privacy-preserving technologies, and sustainable intelligent computing.

Committed to scientific excellence and research integrity, the journal upholds a rigorous and transparent peer-review process to ensure the publication of original, reliable, and impactful research. By providing unrestricted global access to scholarly content and promoting timely publication, the journal seeks to foster international collaboration, accelerate scientific innovation, and support the advancement of knowledge in data science, computational intelligence, and next-generation intelligent systems.

Editorial and Peer-Review Policy

Advanced Data Science and Computational Intelligence adheres to a strict single-blind peer-review process to maintain the quality, integrity, and scientific validity of all published work.

Key features include:

  • Each manuscript is reviewed by at least two independent experts in the field, along with an academic editor.
  • Reviewers know who the authors are, but the authors remain unaware of the reviewer's identities.
  • The evaluations emphasize scientific merit, originality, methodological rigor, ethical compliance, and how well the work fits within the journal's scope.
  • Every submission goes through plagiarism checks and ethical compliance assessments before the review process begins.
  • The final decision on publication is based on the reviewer's recommendations and the editor's evaluation.

Publication Frequency & Format

This journal comes out Annual (One issue per year). Accepted articles are made available online in both HTML and PDF formats, ensuring that scholarly work is accessible and disseminated promptly.

Open Access Policy

Advanced Data Science and Computational Intelligence operates under a fully open access model. This means all published content is freely accessible to readers around the globe, without any subscription or paywall. Authors maintain the copyright to their work, and the content is shared under an appropriate open-access license.

Indexing & Archiving

Advanced Data Science and Computational Intelligence is dedicated to upholding high standards with the goal of being included in reputable scientific indexing and abstracting services. The journal also ensures long-term digital preservation through recognized archives and repositories, guaranteeing permanent access and discoverability.

Manuscript Submission

Authors are encouraged to submit their manuscripts through the journal's Online Submission System or by emailing them directly to the Editorial Office at support@colloquys.com.

Manuscripts must adhere to the journal's author guidelines regarding structure, formatting, referencing style, ethical approvals, and necessary disclosures (such as conflicts of interest and funding).

Publication Ethics & Integrity

Advanced Data Science and Computational Intelligence follows internationally recognized standards for publication ethics and research integrity, which include (but are not limited to):

  • Make sure you have ethical approval.
  • Ensure informed consent and guarantee confidentiality.
  • Declare any conflicts of interest.
  • Be transparent about data availability.
  • Clarify authorship criteria and the roles of contributors.
  • Conduct anti-plagiarism checks.
  • Have a clear policy for retraction and correction.

Current Issue Highlights

No articles found