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Hybrid Event

4th - 5th August 2026 | Abu Dhabi, UAE

International Conference on AI-driven Data Science for Autonomous Systems (ICIADAS - 26)

4

Days

4

Hrs

07

Min

02

Sec

Conference Program

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. It fosters knowledge exchange, innovation, and collaborative engagement.

Why it matters

SDG 4 — Quality Education
SDG 9 — Industry, Innovation and Infrastructure
SDG 11 — Sustainable Cities and Communities
Explore All Session Tracks
Track 01
Advancements in AI-Driven Robotics

This track focuses on the latest innovations in robotics powered by artificial intelligence. Researchers are invited to present their findings on how AI enhances robotic capabilities in various applications.

Track 02
Data Science Techniques for Autonomous Vehicles

This session will explore the application of data science methodologies in the development of autonomous vehicles. Topics include data preprocessing, feature extraction, and predictive modeling for vehicle behavior.

Track 03
Real-Time Decision Making in Autonomous Systems

This track addresses the challenges and solutions related to real-time decision-making processes in autonomous systems. Contributions should highlight algorithms and frameworks that enable timely and effective decisions.

Track 04
Reinforcement Learning Applications in Autonomy

This session will delve into the use of reinforcement learning techniques to enhance autonomous systems. Papers should discuss novel approaches and their implications for learning optimal behaviors in dynamic environments.

Track 05
Sensor Fusion Techniques for Enhanced Perception

This track examines the integration of multiple sensor data to improve the perception capabilities of autonomous systems. Contributions should focus on methodologies that enhance situational awareness and robustness.

Track 06
Computer Vision Innovations for Autonomous Navigation

This session will showcase cutting-edge computer vision techniques that facilitate navigation in autonomous systems. Researchers are encouraged to present their work on object detection, scene understanding, and visual SLAM.

Track 07
Path Planning Algorithms for Autonomous Vehicles

This track focuses on the development and evaluation of path planning algorithms tailored for autonomous vehicles. Papers should address challenges such as obstacle avoidance and dynamic environment adaptation.

Track 08
Navigation Systems for Unmanned Aerial Vehicles

This session will highlight advancements in navigation systems specifically designed for unmanned aerial vehicles. Contributions should explore GPS-denied environments and the integration of advanced navigation sensors.

Track 09
Adaptive Control Strategies in Autonomous Systems

This track investigates adaptive control techniques that enable autonomous systems to adjust to changing environments. Papers should present novel control strategies and their effectiveness in real-world applications.

Track 10
Human-Robot Interaction in Autonomous Systems

This session will explore the dynamics of human-robot interaction within autonomous systems. Contributions should focus on user experience, communication protocols, and collaborative behaviors.

Track 11
Intelligent Agents and Their Applications

This track examines the role of intelligent agents in autonomous systems and their applications across various domains. Researchers are invited to discuss agent design, learning capabilities, and real-world implementations.

2026 UPDATE

Consistent Academic Support

Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.