International Conference on Stochastic Simulation and Computational Probability
(ICSSCP-26)

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

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Conference Session Tracks

The International Conference on Stochastic Simulation and Computational Probability (ICSSCP), scheduled to be held on 3rd October 2026 in Chennai, India, features a diverse range of session tracks covering key research areas, emerging trends and interdisciplinary innovations within the field of Probability Theory,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 Stochastic Simulation Techniques
    This track focuses on the latest developments in stochastic simulation methodologies. Researchers are invited to present innovative approaches that enhance the efficiency and accuracy of simulation processes. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 17 – Partnerships for the Goals
  • Track 02 – Monte Carlo Methods: Theory and Applications
    This session will explore both the theoretical underpinnings and practical applications of Monte Carlo methods in various fields. Contributions that demonstrate novel applications or improvements in Monte Carlo techniques are particularly welcome. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 17 – Partnerships for the Goals
  • Track 03 – Statistical Modeling in Complex Systems
    This track emphasizes the role of statistical modeling in understanding and analyzing complex systems. Papers that showcase the integration of statistical models with real-world data are encouraged. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
  • Track 04 – Random Sampling Techniques in Data Science
    This session will delve into the methodologies and challenges associated with random sampling in data science. Participants are invited to share insights on improving sampling techniques for better data representation. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 16 – Peace, Justice and Strong Institutions
  • Track 05 – Simulation Algorithms for Risk Analysis
    This track addresses the development and application of simulation algorithms specifically for risk analysis. Contributions that highlight the intersection of simulation and risk management are highly sought after. Aligned SDGs: SDG 8 – Decent Work and Economic Growth  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 06 – Applied Statistics in Industry and Research
    This session focuses on the application of statistical methods in various industrial and research contexts. Papers that demonstrate the impact of applied statistics on decision-making processes are encouraged. Aligned SDGs: SDG 8 – Decent Work and Economic Growth  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 07 – Probability Theory: Foundations and New Directions
    This track aims to explore foundational aspects of probability theory alongside emerging trends and new directions in the field. Contributions that bridge theoretical insights with practical implications are particularly welcome. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 08 – Machine Learning and Stochastic Processes
    This session investigates the synergy between machine learning techniques and stochastic processes. Researchers are invited to present work that integrates these domains to solve complex problems. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 16 – Peace, Justice and Strong Institutions
  • Track 09 – Optimization Techniques in Computational Statistics
    This track focuses on optimization methods that enhance computational statistics. Papers that propose new optimization strategies or apply existing methods to statistical problems are encouraged. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 10 – Predictive Analytics: Methods and Applications
    This session will cover various predictive analytics methodologies and their applications across different sectors. Contributions that showcase successful case studies or novel predictive models are welcome. Aligned SDGs: SDG 8 – Decent Work and Economic Growth  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 11 – Quantitative Methods in Decision Support Systems
    This track emphasizes the role of quantitative methods in developing effective decision support systems. Researchers are invited to share their findings on how quantitative analysis can enhance decision-making processes. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 16 – Peace, Justice and Strong Institutions
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 12 SDG 12
    Responsible Consumption and Production
  • SDG 16 SDG 16
    Peace, Justice and Strong Institutions
  • 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]

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