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

International Conference on Telecommunications and Artificial Intelligence · Registering as Listener

ICTAI
📅 26 – 27 Jun 2027 📍 Riyadh, Saudi Arabia 👥 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 Telecommunications and Artificial Intelligence
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 7 SDG 8 SDG 9 SDG 11

This track focuses on the integration of artificial intelligence in telecommunications, exploring innovative applications that enhance service delivery. Researchers are invited to present studies on AI-driven solutions that improve network performance and customer experience.

This session will delve into the utilization of machine learning techniques for optimizing telecommunications networks. Contributions should highlight novel algorithms and their effectiveness in improving network efficiency and reliability.

This track aims to explore the development and deployment of intelligent systems within communication networks. Papers should address the role of AI in automating processes and enhancing decision-making in real-time network management.

This session invites research on the application of predictive analytics to forecast trends and behaviors in telecommunications. Studies should demonstrate how predictive models can inform strategic decisions and optimize resource allocation.

This track examines the strategies for implementing automation in telecommunications through AI technologies. Contributions should discuss frameworks that facilitate seamless integration and operational efficiency.

This session will focus on the application of deep learning methodologies to analyze large datasets in telecommunications. Researchers are encouraged to present findings on the effectiveness of these techniques in extracting actionable insights.

This track explores various AI frameworks designed specifically for enhancing communication systems. Papers should evaluate the performance and adaptability of these frameworks in real-world telecommunications scenarios.

This session will cover the role of data analytics in transforming telecommunications operations and strategies. Contributions should highlight case studies that showcase successful data-driven decision-making processes.

This track invites discussions on innovative strategies enabled by AI technologies in the telecommunications sector. Researchers should present insights on how these strategies can lead to competitive advantages and market growth.

This session focuses on the optimization of telecommunications systems using advanced AI techniques. Papers should detail methodologies that enhance system performance and user satisfaction.

This track aims to address the challenges faced in the integration of AI within telecommunications and explore future research directions. Contributions should provide critical insights into overcoming barriers and advancing the field.

COPYRIGHT © 2026 ISAR. ALL RIGHTS RESERVED