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Call For Papers

The ICDDOM bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Data Science, encouraging applied research, case studies, and industry-driven innovations.

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

  • Optimization algorithms for manufacturing processes
  • Data analytics in production scheduling
  • Supply chain optimization using AI
  • Predictive maintenance in manufacturing
  • Quality control through data analysis
  • Data-driven decision making in manufacturing
  • Smart factories and IoT integration
  • Big data applications in manufacturing
  • Sustainability metrics in manufacturing
  • Real-time data monitoring in production
  • Data visualization for manufacturing efficiency
  • Machine learning for defect prediction
  • Automation and data-driven workflows
  • Data security in manufacturing environments
  • Collaborative robots and data analytics
  • Lean manufacturing and data insights
  • Data-driven supply chain resilience
  • Workforce optimization through data analysis
  • Digital twins in manufacturing systems
  • Future of manufacturing with data

Evaluation

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in relevant journals and proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.