Call For Papers
The ICDDMM aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.
The conference highlights advancements in Mathematical Modeling, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.
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
Assessment
Submissions will be assessed for originality, innovation, and relevance. Accepted papers will be presented at the conference and considered for publication opportunities in reputed academic platforms.
Registration
Participants are requested to complete the registration process following acceptance of their paper. Registration ensures inclusion in the conference schedule and official records.
Publication
All accepted manuscripts will be eligible for publication consideration in conference proceedings and associated academic journals.