Hybrid Conferencee

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

8th - 9th September 2026 | Columbus, USA

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Columbus. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Columbus event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Columbus conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Columbus, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Columbus."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

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

SDG 4
SDG 4 Quality Education
SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 11
SDG 11 Sustainable Cities and Communities
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.