International Conference on Big Data Analytics and Statistical Modeling
(ICBDASM-26)

19th December 2026 || Bangalore - India || Hybrid Mode

Proudly Organized by INRI

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Conference Session Tracks

The International Conference on Big Data Analytics and Statistical Modeling (ICBDASM), scheduled to be held on 19th December 2026 in Bangalore, India, features a diverse range of session tracks covering key research areas, emerging trends and interdisciplinary innovations within the field of Statistics.

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 Big Data Analytics
    This track focuses on the latest methodologies and tools in big data analytics, emphasizing their application in various domains. Participants will explore innovative techniques that enhance data processing and interpretation. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 17 – Partnerships for the Goals
  • Track 02 – Statistical Modeling Techniques
    This session will delve into contemporary statistical modeling approaches, highlighting their relevance in understanding complex data structures. Researchers are encouraged to present novel models that address real-world challenges. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 03 – Machine Learning Applications in Statistics
    This track aims to bridge the gap between machine learning and traditional statistical methods. Contributions will showcase how machine learning algorithms can enhance statistical analysis and inference. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 04 – Data Mining Strategies for Knowledge Discovery
    Participants will discuss advanced data mining techniques that facilitate knowledge discovery from large datasets. The focus will be on practical applications and case studies that demonstrate the effectiveness of these strategies. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
  • Track 05 – Predictive Analytics in Decision Making
    This session will explore the role of predictive analytics in informing decision-making processes across various sectors. Researchers are invited to share insights on models that enhance predictive accuracy and reliability. Aligned SDGs: SDG 8 – Decent Work and Economic Growth  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 06 – Computational Statistics: Methods and Applications
    This track will cover computational approaches in statistics, emphasizing their application in solving complex statistical problems. Discussions will include algorithm development and performance evaluation. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 17 – Partnerships for the Goals
  • Track 07 – Artificial Intelligence in Statistical Analysis
    This session will investigate the intersection of artificial intelligence and statistical analysis, focusing on how AI techniques can improve statistical methodologies. Contributions should highlight innovative applications and theoretical advancements. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
  • Track 08 – High-Dimensional Data Challenges
    Participants will address the unique challenges posed by high-dimensional data in statistical modeling and analysis. This track seeks contributions that propose novel solutions and methodologies for effective high-dimensional data handling. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 17 – Partnerships for the Goals
  • Track 09 – Statistical Algorithms for Big Data
    This session will focus on the development and application of statistical algorithms designed for big data environments. Researchers are encouraged to present work that demonstrates the scalability and efficiency of these algorithms. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 17 – Partnerships for the Goals
  • Track 10 – Applications of Data Science in Statistics
    This track will explore the integration of data science principles into statistical practice, highlighting innovative applications across various fields. Contributions should demonstrate how data science enhances statistical methodologies. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 11 – Emerging Trends in Statistical Research
    This session will provide a platform for discussing emerging trends and future directions in statistical research. Researchers are invited to share their findings and insights on cutting-edge topics in statistics. Aligned SDGs: SDG 4 – Quality Education  |  SDG 17 – Partnerships for the Goals
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 8 SDG 8
    Decent Work and Economic Growth
  • SDG 9 SDG 9
    Industry, Innovation and Infrastructure
  • SDG 11 SDG 11
    Sustainable Cities and Communities
  • 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