International Conference on Data-Driven Mathematical Modeling
(ICDDMM-26)

25th October 2026 || Bhubaneswar - India || Hybrid Mode

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Conference Session Tracks

The International Conference on Data-Driven Mathematical Modeling (ICDDMM), scheduled to be held on 25th October 2026 in Bhubaneswar, India, features a diverse range of session tracks covering key research areas, emerging trends and interdisciplinary innovations within the field of Mathematical Modeling.

Each track offers researchers, academicians, industry professionals and practitioners a platform to present their work, exchange ideas and explore the advancements shaping the future of the domain. Every track is curated to encourage knowledge sharing, collaboration and meaningful discussion.

All Session Tracks
  • Track 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. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 17 – Partnerships for the Goals
  • Track 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. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
  • Track 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. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 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. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 13 – Climate Action
  • Track 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. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 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. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 13 – Climate Action
  • Track 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. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 17 – Partnerships for the Goals
  • Track 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. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 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. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 17 – Partnerships for the Goals
  • Track 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. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 13 – Climate Action
  • Track 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. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
Alignment with the Sustainable Development Goals
Alongside its academic focus, the conference promotes responsible research, ethical practice and knowledge-driven development. Its session tracks collectively contribute to the following United Nations Sustainable Development Goals.
  • SDG 9 SDG 9
    Industry, Innovation and Infrastructure
  • SDG 11 SDG 11
    Sustainable Cities and Communities
  • SDG 12 SDG 12
    Responsible Consumption and Production
  • SDG 13 SDG 13
    Climate Action
  • SDG 17 SDG 17
    Partnerships for the Goals

Need Assistance?

If you need any clarification on the session tracks or support with your submission, please feel free to reach out to us:

Email: [email protected]

Phone: +91 9677007228