Call for Papers
JDDIEA invites original research, high-quality review papers, and applied case studies that combine data-driven intelligence with real engineering applications. Submissions are accepted on a rolling basis, through the current submission cycle.
Current Call
Submissions are currently open.
Manuscripts are accepted on a rolling basis and processed through editorial screening and peer review.
Manuscripts are accepted on a rolling basis and processed through editorial screening and peer review.
Key dates
Submission: Open on a rolling basis
Editorial decision: Communicated after review
Publication: After acceptance and final production checks
Publication model
JDDIEA follows continuous publication. Articles are published individually after successful peer review, editorial processing, and production, and are assigned to an annual volume. The first planned volume is Volume 1 (2027).
Tip: First-time authors should create a JDDIEA author account before submitting.
Scope & Topics
We prioritize papers that clearly state the engineering problem, the intelligence method, and provide measurable validation (experiments, simulations, benchmarks, or real deployments).
- ✓Industrial AI, Smart Manufacturing, and AutomationApplied outcomes
- ✓Predictive Maintenance, Fault Diagnosis, Condition MonitoringStrong validation
- ✓Digital Twins, Simulation-driven Engineering, System ModelingReproducible setup
- ✓IoT, Edge Intelligence, Cyber-Physical SystemsDeployment-aware
- ✓Optimization, Planning, Scheduling, Decision SupportBaselines required
- ✓Energy, Power Systems, Transportation, Smart Infrastructure AnalyticsEngineering context
Submission Open
Rolling Submissions
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Peer Review
Double-Anonymized Review
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Volume
Volume 1 (2027)
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Submission
Open on a Rolling Basis
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Publication
After Acceptance & Final Checks
Review & Ethics (Short Note)
JDDIEA follows editorial screening, peer review, and final checks. Submissions must be original, properly cited, and not under review elsewhere. Timelines may vary based on reviewer availability and the complexity of revisions.