International Conference on Randomized Methods in Computational Probability
(ICRMCP-26)

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

Proudly Organized by INRI

Join global experts to share ideas, connect, and innovate.
🎉 Coupon Copied Successfully!

Conference Session Tracks

The International Conference on Randomized Methods in Computational Probability (ICRMCP), scheduled to be held on 3rd October 2026 in Mumbai, India, features a diverse range of session tracks covering key research areas, emerging trends and interdisciplinary innovations within the field of Probability Theory.

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 Monte Carlo Methods
    This track focuses on the latest developments in Monte Carlo simulation techniques and their applications in various fields. Researchers are invited to present innovative approaches that enhance the efficiency and accuracy of Monte Carlo methods. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 17 – Partnerships for the Goals
  • Track 02 – Randomized Algorithms in Data Analysis
    This session will explore the role of randomized algorithms in the analysis of large datasets. Contributions that demonstrate the effectiveness of these algorithms in statistical computing are particularly welcome. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 03 – Stochastic Processes and Their Applications
    This track aims to discuss recent advancements in stochastic processes and their applications in real-world scenarios. Papers that bridge theoretical developments with practical implementations are encouraged. Aligned SDGs: SDG 8 – Decent Work and Economic Growth  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 04 – High-Performance Computing in Probability Models
    This session will highlight the integration of high-performance computing techniques in the study of probability models. Participants are invited to share their experiences and findings on optimizing computational resources for probabilistic simulations. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 05 – Random Sampling Techniques in Statistics
    This track will cover innovative random sampling techniques and their implications in statistical inference. Researchers are encouraged to present methodologies that improve sampling efficiency and reliability. Aligned SDGs: SDG 4 – Quality Education  |  SDG 12 – Responsible Consumption and Production
  • Track 06 – Applied Probability in Industry
    This session focuses on the application of probability theory in various industrial sectors. Contributions that illustrate practical implementations and case studies are highly encouraged. Aligned SDGs: SDG 8 – Decent Work and Economic Growth  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 07 – Simulation Techniques for Stochastic Models
    This track will delve into simulation techniques specifically designed for stochastic models. Papers that propose novel simulation strategies or enhance existing methods are welcome. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 08 – Randomized Methods in Machine Learning
    This session will explore the intersection of randomized methods and machine learning algorithms. Researchers are invited to discuss how randomness can improve learning efficiency and model performance. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 09 – Statistical Computing and Software Development
    This track emphasizes the development of software tools for statistical computing, particularly those that implement randomized methods. Contributions that address computational challenges and software innovations are encouraged. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 10 – Theoretical Foundations of Randomized Methods
    This session will focus on the theoretical underpinnings of randomized methods in probability. Papers that contribute to the mathematical foundations and theoretical advancements are particularly welcome. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 11 – Emerging Trends in Computational Probability
    This track aims to identify and discuss emerging trends and future directions in computational probability. Researchers are encouraged to present visionary ideas and cutting-edge research that could shape the field. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  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 12 SDG 12
    Responsible Consumption and Production
  • 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