Call for Paper
The ICDDMM is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.
With a strong focus on Mathematical Modeling the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.
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
Peer Review & Quality
All submissions will be evaluated through a structured peer-review process to ensure academic rigor and contribution to the field. Accepted papers will be presented and may be considered for publication in high-quality journals and indexed conference proceedings.
Registration
Secure your participation by completing the registration process at the earliest. Limited presentation slots are allocated on a first-come, first-served basis.
Publication
High-quality submissions will be prioritized for publication opportunities in recognized journals and indexed proceedings.