Registration summary
ConferenceICDDMM
ModeStandard / Physical
ParticipationListener
Registration fee$135.00
Bank charges (5.8%)$7.83
Total payable$142.83
Includes all bank processing charges — the amount above is exactly what will be charged.
Benefits of Registering as Listener
Access to Conference Sessions
Networking Opportunities
Certificate of Participation
Invitation Letter Support
Conference Kit / Materials
Access to Keynote Sessions
• Conference Session Tracks •
SDG-Aligned Research Themes
ICDDMM conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.
01 Advancements in Data-Driven Mathematical Modeling +
This track focuses on the latest methodologies and techniques in data-driven mathematical modeling. Researchers are invited to present innovative approaches that enhance the accuracy and efficiency of mathematical models.
02 Statistical Modeling in Complex Systems +
This session explores the application of statistical modeling techniques to understand and analyze complex systems. Contributions that demonstrate the integration of statistical methods with real-world data are particularly welcome.
03 Machine Learning Applications in Predictive Analytics +
This track highlights the intersection of machine learning and predictive analytics within mathematical modeling. Papers that showcase novel algorithms and their applications in various domains will be featured.
04 Computational Methods for Applied Mathematics +
This session emphasizes computational techniques that facilitate the application of mathematical theories to practical problems. Submissions should demonstrate the use of computational methods in solving real-world challenges.
05 Optimization Techniques in Data-Driven Models +
This track is dedicated to optimization methods that enhance the performance of data-driven models. Researchers are encouraged to present their findings on novel optimization algorithms and their applications.
06 Simulation Techniques in Mathematical Modeling +
This session focuses on simulation methodologies that support the development and validation of mathematical models. Contributions that illustrate the role of simulation in understanding complex phenomena are encouraged.
07 Big Data Analytics in Mathematical Modeling +
This track explores the integration of big data analytics with mathematical modeling techniques. Papers that address challenges and solutions in handling large datasets for modeling purposes are particularly sought after.
08 Quantitative Methods in Intelligent Systems +
This session examines the application of quantitative methods in the design and analysis of intelligent systems. Contributions that highlight innovative mathematical approaches to enhance system intelligence are welcome.
09 Data Integration Techniques for Enhanced Modeling +
This track focuses on methodologies for integrating diverse data sources to improve mathematical modeling. Papers that demonstrate successful data integration strategies in various applications are encouraged.
10 Scientific Computing in Mathematical Research +
This session highlights the role of scientific computing in advancing mathematical research and applications. Contributions that showcase computational experiments and their implications for theoretical developments are invited.
11 Complex Systems and Their Mathematical Representations +
This track explores mathematical representations of complex systems and their dynamics. Researchers are invited to present models that capture the intricacies of complex interactions in various fields.
