Registration summary
ConferenceICNMASC
ModeStandard / Physical
ParticipationListener
Registration fee$175.00
Bank charges (5.8%)$10.15
Total payable$185.15
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
ICNMASC conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.
01 Advancements in Numerical Methods +
This track focuses on the latest developments in numerical methods for solving complex mathematical problems. Contributions that explore innovative algorithms and their applications in various fields are highly encouraged.
02 Computational Techniques in Data Science +
This session highlights the integration of computational techniques with data science methodologies. Papers that demonstrate the application of numerical methods in data analysis and interpretation will be featured.
03 High-Performance Computing Applications +
This track addresses the role of high-performance computing in enhancing the efficiency of numerical simulations. Participants are invited to present research that showcases the impact of HPC on computational science.
04 Optimization Algorithms and Techniques +
This session is dedicated to the exploration of optimization algorithms and their applications in various scientific domains. Submissions that present novel approaches to optimization problems are particularly welcome.
05 Statistical Modeling and Inference +
This track focuses on the development and application of statistical models for data analysis. Papers that address innovative modeling techniques and their implications for scientific research are encouraged.
06 Machine Learning in Computational Science +
This session explores the intersection of machine learning and computational science. Contributions that illustrate the application of machine learning techniques to solve numerical problems are sought.
07 Numerical Analysis of Differential Equations +
This track emphasizes the numerical analysis of differential equations and their applications in various scientific fields. Papers that propose new methods or improvements to existing techniques are invited.
08 Linear Algebra in Scientific Computing +
This session focuses on the role of linear algebra in the development of numerical methods for scientific computing. Contributions that highlight innovative applications of linear algebra techniques are encouraged.
09 Quantitative Methods in Research Applications +
This track aims to showcase the application of quantitative methods in diverse research fields. Papers that demonstrate the effectiveness of numerical techniques in real-world scenarios are welcome.
10 Computational Physics and Simulations +
This session is dedicated to the application of computational methods in physics, particularly through simulations. Contributions that explore new computational approaches to physical problems are encouraged.
11 Artificial Intelligence in Numerical Methods +
This track examines the integration of artificial intelligence techniques within numerical methods. Papers that explore AI-driven approaches to enhance computational efficiency and accuracy are particularly welcome.
