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Call for Paper

The ICDDOM emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Data Science are explored to promote cross-domain knowledge exchange and collaborative innovation.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Optimization algorithms for manufacturing processes
02
Data analytics in production scheduling
03
Supply chain optimization using AI
04
Predictive maintenance in manufacturing
05
Quality control through data analysis
06
Data-driven decision making in manufacturing
07
Smart factories and IoT integration
08
Big data applications in manufacturing
09
Sustainability metrics in manufacturing
10
Real-time data monitoring in production
11
Data visualization for manufacturing efficiency
12
Machine learning for defect prediction
13
Automation and data-driven workflows
14
Data security in manufacturing environments
15
Collaborative robots and data analytics
16
Lean manufacturing and data insights
17
Data-driven supply chain resilience
18
Workforce optimization through data analysis
19
Digital twins in manufacturing systems
20
Future of manufacturing with data

All submissions will undergo peer review to ensure quality and interdisciplinary relevance.

Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

👉 Register Now

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.

👉 Submit Your Research Work

Event Highlights

  • Keynote sessions by experienced speakers
  • Technical paper presentations across multiple topics
  • Opportunities for academic and professional networking
  • Discussions on current research developments

Contact Us

    Have questions about submission, registration, or publication? We’re happy to help.

  • Email: [email protected]
  • Phone:+91 9940952512

We look forward to your participation and contribution to the ASPHER Conference.