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Call For Papers

The ICDDMM 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 Mathematical Modeling, encouraging applied research, case studies, and industry-driven innovations.

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

  • Data-driven approaches in mathematical modeling
  • Machine learning for predictive modeling
  • Statistical analysis in data-driven models
  • Big data applications in mathematical modeling
  • Modeling complex systems with data
  • Data assimilation techniques in modeling
  • Optimization of data-driven models
  • Uncertainty quantification in data-driven models
  • Applications of AI in mathematical modeling
  • Data visualization techniques for modeling results
  • Real-time data-driven decision making
  • Mathematical modeling of social networks
  • Data-driven methods for climate modeling
  • Applications of data mining in modeling
  • Mathematical modeling of financial data
  • Data-driven epidemiological modeling
  • Integration of IoT in mathematical models
  • Data-driven optimization in logistics
  • Mathematical modeling in healthcare analytics
  • Ethical considerations in data-driven modeling

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.