1 7178835943 | [email protected]

ICAMSC · Registering as Listener

International Conference on Applied Mathematics in Scientific Computing

4th Jun – 5th Jun 2027 Stockholm, Sweden Standard / Physical Participation

Listener Registration From

$—

$— in person

Registration Benefits:

Official invitation letterIssued automatically after registration

Certificate & digital materialsGet certificate, slides and resource materials

Supporting global researchConnect with researchers across 30+ countries

Select registration mode

Prices are shown before tax and bank charges — no surprises at checkout.

Standard / Physical $—

On-site keynotes, talks, workshops, networking, conference kit and certificate.

Select

Virtual $—

Live streaming access to all sessions, digital materials and certificate.

Select

All sessions Networking Certificate Invitation letter Conference kit

Amount:

Your details

We only need what's required to register and email your confirmation. Everything else is optional.

Full Name *

Email Address *

Mobile Number *

City *

State *

Country *

Zip / Postal Code

Address

Credit Card

Debit Card

Net Banking

Cash Card

Unified Payments

For Support Please Contact

[email protected]

Coupon code

Have a code? Apply it here — the discount updates the total immediately.

Apply

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

VISA MC AMEX UPI

Payments encrypted & processed securely. Refundable up to 14 days before the event.

Registration summary

ConferenceICAMSC

ModeStandard / Physical

ParticipationListener

Registration fee$—

Bank charges (5.8%)$—

Discount-$0.00

Total payable $—

Includes all bank processing charges — the amount above is exactly what will be charged. View charge breakdown

Need help?

Contact our registration team:

1 7178835943

[email protected]

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

International Conference on Applied Mathematics in Scientific Computing conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.

SDG 9 - Industry, Innovation and Infrastructure

SDG 12 - Responsible Consumption and Production

This track focuses on the latest developments in numerical methods for solving complex mathematical problems. Contributions that address both theoretical advancements and practical applications are encouraged.

This session invites papers that explore innovative mathematical models used in various scientific domains. Emphasis will be placed on the application of these models to real-world problems.

This track aims to gather research on statistical modeling techniques and their applications in data analysis. Topics may include regression models, time series analysis, and Bayesian statistics.

This session will highlight the development and implementation of algorithms designed for high-performance computing environments. Papers that demonstrate efficiency and scalability are particularly welcome.

This track explores the intersection of machine learning, artificial intelligence, and applied mathematics. Contributions should focus on novel algorithms and their applications in scientific computing.

This session will cover various optimization techniques and their applications in solving real-world problems. Papers that present new methodologies or case studies are encouraged.

This track focuses on the role of computational science in simulating complex systems. Contributions that showcase innovative simulation techniques and their applications are welcome.

This session invites research on the application of probability and risk analysis in decision-making processes. Papers that integrate quantitative methods with practical applications are encouraged.

This track aims to explore forecasting methodologies and their applications across various fields. Contributions should demonstrate the effectiveness of forecasting techniques in real-world scenarios.

This session will focus on the application of statistical methods in both research and industry settings. Papers that highlight case studies or innovative statistical techniques are particularly welcome.

This track emphasizes the importance of quantitative methods in the realm of scientific computing. Contributions that bridge theoretical and practical aspects of quantitative analysis are encouraged.