Flex Conference (Physical / Digital)

International Conference on AI-Driven Networking in Engineering Systems (ICAIDNES - 26)

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Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals.

SDG 9 SDG 9 — Industry, Innovation and Infrastructure
SDG 11 SDG 11 — Sustainable Cities and Communities
SDG 17 SDG 17 — Partnerships for the Goals
Track 01

AI-Driven Network Optimization Techniques

This track focuses on innovative methodologies for optimizing network performance using artificial intelligence. Participants will explore algorithms and frameworks that enhance efficiency and reliability in engineering systems.

Track 02

Intelligent Networking for Smart Systems

This session delves into the integration of intelligent networking solutions within smart systems. Discussions will center on the role of AI in facilitating seamless communication and data exchange in advanced engineering applications.

Track 03

Machine Learning Applications in Networking

This track examines the application of machine learning techniques in the realm of networking. Researchers will present findings on predictive analytics and their impact on network management and automation.

Track 04

IoT Integration in Engineering Networks

This session addresses the challenges and solutions associated with integrating Internet of Things devices into engineering networks. Topics will include scalability, security, and real-time data processing in IoT environments.

Track 05

Distributed Systems and Network Innovation

This track highlights advancements in distributed systems that drive innovation in networking. Participants will discuss new architectures and protocols that enhance collaboration and resource sharing across networks.

Track 06

Real-Time Processing in Networked Systems

This session focuses on the importance of real-time processing capabilities in networked engineering systems. Presentations will cover techniques and technologies that ensure timely data handling and decision-making.

Track 07

Network Automation and Management Strategies

This track explores the latest strategies for automating network management processes. Attendees will learn about tools and frameworks that leverage AI to streamline operations and reduce human intervention.

Track 08

Embedded Applications in Intelligent Networking

This session investigates the role of embedded applications in enhancing intelligent networking solutions. Discussions will include case studies and innovations that demonstrate the effectiveness of embedded systems in networking.

Track 09

Predictive Analytics for Network Performance

This track examines the use of predictive analytics to anticipate network performance issues and optimize resource allocation. Researchers will share insights on data-driven approaches to enhance network resilience.

Track 10

Industrial Networking Solutions and Challenges

This session addresses the unique challenges faced in industrial networking environments. Participants will discuss solutions that incorporate AI-driven technologies to improve connectivity and operational efficiency.

Track 11

Future Trends in AI-Driven Networking

This track looks ahead to emerging trends and technologies in AI-driven networking. Experts will share their visions for the future of networking in engineering systems and the potential impact on various industries.

Important Dates

Early Bird Registration :20th August 2026

Paper Submission Deadline :25th August 2026

Last Date of Registration : 4th September 2026

Date of Conference : 19th - 20th September 2026

Supporting Academic Continuity

APSTE ensures that research and publication processes continue without interruption in the current global situation. Participants can present their work through digital and integrated formats.

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