+1 7178835943 [email protected]
Hybrid Event (In-person or Virtual participation)

International Conference on Computational Science and Mathematics · Registering as Listener

ICCSCM
📅 17 – 18 Feb 2027 📍 Edinburgh, UK 👥 Standard / Physical Participation
Listener Registration From
$185
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.

All sessions Networking Certificate Invitation letter Conference kit

Your details

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

Coupon Code (If Any)

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

🏷

For Support Please Contact

VISAMASTERCARDNET BANKINGUPI

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

Registration summary

ConferenceInternational Conference on Computational Science and Mathematics
ModeStandard / Physical
ParticipationListener
Registration fee$185.00
Bank charges (5.8%)$10.73
Total payable $195.73

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

Need help?

Contact our registration team:

📞 +91 93445 35349

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

SDG-Aligned Research Themes

Conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.

SDG 4 SDG 9 SDG 11 SDG 12

This track focuses on the latest developments in computational algorithms that enhance problem-solving in engineering and mathematical contexts. Participants are encouraged to present innovative approaches and applications that demonstrate the efficacy of these algorithms.

This session invites contributions that explore the use of mathematical modeling techniques to address complex engineering challenges. Emphasis will be placed on models that integrate theoretical and practical aspects of engineering disciplines.

This track highlights the application of statistical methods in analyzing engineering data and mathematical phenomena. Researchers are invited to discuss novel statistical techniques that improve data interpretation and decision-making processes.

This session aims to showcase numerical methods that are pivotal in solving engineering problems. Presentations should focus on the development and application of numerical techniques in various engineering fields.

This track is dedicated to the computational techniques used in fluid dynamics, a critical area in engineering. Contributions should address advancements in simulation methods and their applications in real-world scenarios.

This session explores optimization techniques that enhance engineering design processes. Papers should discuss both theoretical advancements and practical applications of optimization in various engineering domains.

This track focuses on the integration of machine learning techniques within computational science. Researchers are encouraged to present studies that demonstrate the impact of machine learning on solving complex mathematical and engineering problems.

This session examines the role of stochastic processes in modeling uncertainty within engineering systems. Contributions should highlight both theoretical developments and practical applications of stochastic methods.

This track addresses the use of parallel computing techniques to enhance the efficiency of scientific simulations. Papers should focus on innovative approaches that leverage parallel architectures for solving large-scale engineering problems.

This session explores the applications of computational geometry in various engineering fields. Contributions should highlight how geometric algorithms can solve practical engineering challenges.

This track promotes interdisciplinary research that combines computational science with other fields such as physics, biology, and economics. Participants are encouraged to present collaborative studies that showcase the synergy between disciplines.

COPYRIGHT © 2026 ISAR. ALL RIGHTS RESERVED