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

Call For Papers

The ICIADAS bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Artificial Intelligence, Data Science, Machine Learning , encouraging applied research, case studies, and industry-driven innovations.

Authors are invited to submit papers addressing, but not limited to, the following areas:

AI applications in autonomous vehicle navigation

Data science for traffic prediction models

Machine learning for sensor fusion in robotics

AI-driven decision making in autonomous systems

Data privacy challenges in autonomous technologies

AI for enhancing human-robot interaction

Predictive maintenance for autonomous vehicles

Machine learning for path planning algorithms

AI in drone technology and applications

Data-driven safety assessments for autonomous systems

AI for optimizing fleet management solutions

Machine learning in robotics process automation

AI applications in smart manufacturing

Data visualization for autonomous system performance

AI for environmental monitoring in autonomous systems

Challenges in deploying autonomous technologies

AI in logistics and supply chain automation

Data ethics in autonomous system development

AI for enhancing mobility solutions

Future trends in autonomous systems research

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in reputed journals and conference proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

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Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

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Hybrid Event