International Conference on Predictive Analytics and Data Science Solutions
(ICPADS-26)

3rd October 2026 || Ahmedabad - India || Hybrid Mode

Proudly Organized by INRI

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Conference Session Tracks

The International Conference on Predictive Analytics and Data Science Solutions (ICPADS), scheduled to be held on 3rd October 2026 in Ahmedabad, India, features a diverse range of session tracks covering key research areas, emerging trends and interdisciplinary innovations within the field of Data 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 Predictive Analytics
    This track focuses on the latest methodologies and technologies in predictive analytics. Researchers are invited to present their findings on innovative approaches that enhance predictive modeling and analysis. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 02 – Machine Learning Techniques in Data Science
    This session will explore various machine learning algorithms and their applications in data science. Contributions that demonstrate novel implementations or improvements in machine learning techniques are highly encouraged. Aligned SDGs: SDG 4 – Quality Education  |  SDG 8 – Decent Work and Economic Growth
  • Track 03 – Artificial Intelligence in Forecasting
    This track examines the integration of artificial intelligence in forecasting models across different domains. Papers that showcase AI-driven forecasting solutions and their effectiveness are welcome. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
  • Track 04 – Data Mining Strategies and Applications
    This session highlights the latest strategies in data mining and their practical applications. Researchers are invited to share case studies and methodologies that illustrate the impact of data mining on decision-making. Aligned SDGs: SDG 8 – Decent Work and Economic Growth  |  SDG 16 – Peace, Justice and Strong Institutions
  • Track 05 – Big Data Analytics and Insights
    This track delves into the challenges and opportunities presented by big data analytics. Contributions that discuss novel analytical frameworks or tools for big data are sought. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 06 – Statistical Analysis in Data Science
    This session emphasizes the role of statistical analysis in deriving insights from data. Papers that present new statistical methods or applications in data science are encouraged. Aligned SDGs: SDG 4 – Quality Education  |  SDG 10 – Reduced Inequalities
  • Track 07 – Decision Support Systems and Algorithms
    This track focuses on the development and evaluation of decision support systems utilizing advanced algorithms. Researchers are invited to present their work on algorithms that enhance decision-making processes. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 16 – Peace, Justice and Strong Institutions
  • Track 08 – Quantitative Methods in Predictive Modeling
    This session explores quantitative methods that underpin predictive modeling techniques. Contributions that highlight innovative quantitative approaches and their applications are welcome. Aligned SDGs: SDG 4 – Quality Education  |  SDG 8 – Decent Work and Economic Growth
  • Track 09 – Research Applications of Data Science
    This track showcases research applications of data science across various fields. Papers that demonstrate the practical impact of data science solutions in real-world scenarios are encouraged. Aligned SDGs: SDG 1 – No Poverty  |  SDG 4 – Quality Education
  • Track 10 – Ethics and Governance in Data Science
    This session addresses the ethical considerations and governance frameworks in data science practices. Contributions that discuss the implications of data usage and privacy concerns are sought. Aligned SDGs: SDG 16 – Peace, Justice and Strong Institutions  |  SDG 10 – Reduced Inequalities
  • Track 11 – Emerging Trends in Data Science Solutions
    This track highlights emerging trends and future directions in data science solutions. Researchers are invited to share insights on innovative technologies and methodologies shaping the field. 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 1 SDG 1
    No Poverty
  • SDG 4 SDG 4
    Quality Education
  • SDG 8 SDG 8
    Decent Work and Economic Growth
  • SDG 9 SDG 9
    Industry, Innovation and Infrastructure
  • SDG 10 SDG 10
    Reduced Inequalities
  • SDG 11 SDG 11
    Sustainable Cities and Communities
  • SDG 12 SDG 12
    Responsible Consumption and Production
  • SDG 16 SDG 16
    Peace, Justice and Strong Institutions

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