International Conference on High-Dimensional Data Analysis and Computational Methods
(ICHDACM-26)

27th September 2026 || Bhubaneswar - India || Hybrid Mode

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Conference Session Tracks

The International Conference on High-Dimensional Data Analysis and Computational Methods (ICHDACM), scheduled to be held on 27th September 2026 in Bhubaneswar, India, features a diverse range of session tracks covering key research areas, emerging trends and interdisciplinary innovations within the field of Computational Science.

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 High-Dimensional Data Analysis
    This track focuses on innovative techniques and methodologies for analyzing high-dimensional datasets. Contributions that explore theoretical foundations and practical applications are encouraged. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 02 – Computational Methods in Machine Learning
    This session will delve into the computational frameworks that underpin machine learning algorithms. Papers discussing novel approaches to enhance learning efficiency and accuracy are welcome. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 03 – Statistical Modeling for Big Data
    This track emphasizes the development and application of statistical models tailored for large-scale data environments. Submissions should highlight the interplay between statistical theory and computational implementation. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 04 – Optimization Techniques in Data Science
    This session aims to explore cutting-edge optimization methods applicable to data science challenges. Contributions that demonstrate practical applications of optimization in real-world scenarios are highly encouraged. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 05 – Artificial Intelligence and Predictive Analytics
    This track investigates the integration of artificial intelligence techniques with predictive analytics frameworks. Papers should present novel algorithms or case studies that showcase the effectiveness of AI in prediction tasks. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 06 – Numerical Methods for High-Dimensional Problems
    This session will cover numerical techniques specifically designed to tackle high-dimensional computational challenges. Contributions that address efficiency and accuracy in numerical simulations are sought. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 07 – High-Performance Computing in Data Analysis
    This track focuses on the role of high-performance computing in enhancing data analysis capabilities. Papers that demonstrate the application of HPC in processing and analyzing large datasets are encouraged. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 08 – Knowledge Discovery in Big Data
    This session aims to explore methodologies for knowledge extraction from vast datasets. Contributions should highlight innovative techniques and their implications for various fields. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 09 – Quantitative Analysis in Computational Science
    This track emphasizes the importance of quantitative methods in advancing computational science. Papers that bridge theoretical concepts with practical applications are particularly welcome. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 10 – Probability Theory in Data Science Applications
    This session will explore the application of probability theory in various data science contexts. Contributions that illustrate the relevance of probabilistic models in real-world data analysis are encouraged. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 11 – Algorithms for High-Dimensional Data Processing
    This track focuses on the development and evaluation of algorithms specifically designed for high-dimensional data processing. Submissions should address algorithmic efficiency and effectiveness in handling complex datasets. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
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 4 SDG 4
    Quality Education
  • SDG 9 SDG 9
    Industry, Innovation and Infrastructure
  • SDG 12 SDG 12
    Responsible Consumption and Production

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