International Conference on Numerical Methods and Scientific Computing

ICNMASC

8th Mar – 9th Mar 2027 Al Khobar, Saudi Arabia

Official Invitation Letter Available

An official invitation letter will be provided upon successful registration for your participation in the conference.

Benefits of Registering as Listener

Access to All Conference Sessions

Plenary, keynote and parallel sessions

Networking Opportunities

Connect with global educators & researchers

Certificate of Participation

Digital certificate of participation

Invitation Letter Support

Official invitation letter after successful registration

Conference Kit / Digital Materials

E-proceedings & resource materials

Access to Keynote Sessions

Learn from leading experts & scholars

Credit Card

Debit Card

Net Banking

Cash Card

Unified Payments

Select Registration Mode

Standard / Physical Participation USD

Join us on-site for keynotes, talks, workshops, networking, conference kit and certificate.

Virtual Participation USD

Participate online via live streaming. Includes live access to all sessions, digital materials and certificate.

Participant Details

Full Name *

Email Address *

Mobile Number with Country Code *

City *

State *

Country *

Zip / Postal Code *

Address *

Coupon Code

Terms & Condition

I agree to the Terms & Conditions and Refund & Cancellation Policy.

Read the full Terms & Conditions

Registration Summary

Conference ICNMASC

Date 8th Mar – 9th Mar 2027

Location Al Khobar, Saudi Arabia

Participation Type Listener

Organizer Science Leagues

Registration Mode Standard / Physical

Registration Fee USD 0.00

Bank Convenience Charges (5.8%)i USD 0.00

Calculated based on 5.8% of the registration fee

Discount USD 0.00

Total Payable USD 0.00

100% Secure Payment

Your payment information is encrypted and processed securely.

Conference Session Tracks

Aligned with UN Sustainable Development Goals

The conference's session tracks effectively support the following SDGs.

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.

SDG 4 SDG 9

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.

SDG 9 SDG 17

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.

SDG 9 SDG 13

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.

SDG 8 SDG 9

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.

SDG 4 SDG 9

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.

SDG 9 SDG 11

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.

SDG 4 SDG 9

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.

SDG 4 SDG 9

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.

SDG 4 SDG 9

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.

SDG 9 SDG 13

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.

SDG 9 SDG 11