Registration summary
ConferenceICCSNM
ModeStandard / Physical
ParticipationListener
Registration fee$135.00
Bank charges (5.8%)$7.83
Total payable$142.83
Includes all bank processing charges — the amount above is exactly what will be charged.
Benefits of Registering as Listener
Access to Conference Sessions
Networking Opportunities
Certificate of Participation
Invitation Letter Support
Conference Kit / Materials
Access to Keynote Sessions
• Conference Session Tracks •
SDG-Aligned Research Themes
ICCSNM conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.
01 Advancements in Computational Statistics +
This track focuses on the latest methodologies and techniques in computational statistics. Participants will explore innovative algorithms and their applications in various statistical problems.
02 Machine Learning Techniques in Data Science +
This session will delve into the integration of machine learning methods within the realm of data science. Emphasis will be placed on practical applications and theoretical foundations.
03 Numerical Methods for Optimization Problems +
This track addresses the development and application of numerical methods for solving optimization challenges. Discussions will include both theoretical insights and computational implementations.
04 Statistical Computing and Software Development +
Participants will examine the role of statistical computing in modern research, focusing on software tools and programming techniques. This track encourages the sharing of best practices and innovative solutions.
05 Big Data Analytics and Statistical Techniques +
This session will explore the intersection of big data and statistical methodologies. Topics will include data management, analysis techniques, and the implications for decision-making.
06 Regression and Classification Models +
This track will cover advanced regression and classification techniques used in statistical modeling. Participants will discuss model selection, validation, and real-world applications.
07 Simulation Methods in Statistical Analysis +
This session focuses on the use of simulation techniques for statistical inference and model evaluation. Participants will share insights on Monte Carlo methods and their applications.
08 Forecasting Methods and Applications +
This track will explore various forecasting techniques and their applications across different domains. Emphasis will be placed on accuracy, reliability, and practical implementation.
09 Quantitative Methods in Applied Mathematics +
Participants will investigate the role of quantitative methods in solving real-world problems through applied mathematics. This track encourages interdisciplinary approaches and collaborations.
10 Artificial Intelligence in Statistical Modeling +
This session will examine the integration of artificial intelligence techniques in statistical modeling frameworks. Discussions will focus on enhancing model performance and interpretability.
11 Computational Models in Research Applications +
This track will highlight the development and application of computational models in various research fields. Participants will discuss case studies and the impact of these models on scientific discovery.
