Peer-reviewed • Open Access • Academic + Modern

Journal of Data-Driven Intelligence in Engineering Applications

ISSN: To be assigned•E-ISSN: To be assigned•DOI-ready publishing (DOI infrastructure)

An international peer-reviewed journal focused on data-driven intelligence, AI, machine learning, analytics, intelligent systems, IoT, control, optimization, and real-world engineering applications.

Search-engine discoverabilityDOI infrastructureOpen-access standardsStructured journal metadataResearchGateAcademia

Why Publish with JDDIEA

A practical, author-friendly publication experience with strong research visibility and clean editorial workflow.

Peer Reviewed

Rigorous review workflow through OJS with transparent editorial handling.

Open Access

Research remains freely accessible to readers, improving reach and citations.

Multidisciplinary

Engineering applications of AI, ML, analytics, IoT systems, control, and optimization.

Widely Discoverable

Indexing roadmap supported by metadata quality and DOI-enabled publishing.

About JDDIEA

Journal of Data-Driven Intelligence in Engineering Applications (JDDIEA) is an international peer-reviewed, open access journal focused on research that translates data-driven intelligence into real engineering impact.

JDDIEA welcomes original research and high-quality reviews in artificial intelligence, machine learning, data analytics, intelligent systems, IoT-enabled engineering, control and automation, optimization, and applied computational methods. The journal is positioned for authors who want academic credibility along with a modern, clean publication experience.

We encourage interdisciplinary submissions that connect theory with implementation, including real datasets, simulations, prototypes, and engineering case studies. Submissions are processed through a structured editorial workflow supported by OJS, enabling transparent handling from initial screening to peer review and final publication.

JDDIEA follows a quality-first approach with ethical publishing practices, plagiarism screening before review, and clear communication at every stage. Authors can access guidelines and templates from the Downloads section and track their manuscript progress through the submission system.

Peer Review Double-blind

Access Open

Identifiers ISSN / E-ISSN

DOI DOI infrastructure-ready

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Publish research across engineering and applied AI domains with a strong focus on real-world applications.
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Open access publishing to improve visibility and practical reuse of research outcomes.
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DOI-ready publishing (DOI infrastructure) to support persistent citation and long-term discoverability.
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Indexing and metadata quality roadmap aligned with major research databases and repositories.
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Fast and structured review workflow with clear editorial communication and process tracking.
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Email notifications to authors at each process stage (submission, review, decision, publication).
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Quick support through email and official contact channels for author and reviewer assistance.
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HTTPS-secured access and a clean journal interface for reading, downloading, and submission.