(ICIADAS - 26) | Hybrid Event
18th - 19th August 2026 | Lae, Papua New Guinea

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

18th - 19th August 2026 Lae, Papua New Guinea (Hybrid Event)

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Call for Paper

The ICIADAS is committed to addressing global challenges through impactful research and sustainable solutions. It brings together researchers dedicated to advancing knowledge for societal benefit. Focusing on Artificial Intelligence,Data Science,Machine Learning, the conference promotes research aligned with global development goals and long-term sustainability. 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
Review & Publication

All submissions will be reviewed for their contribution to global impact and research quality. Accepted papers will be presented and considered for publication in reputed platforms.

Registration

Join participants from around the world by completing your registration and becoming part of a global research community.

Publication

Accepted papers will gain international exposure through conference presentations and publication opportunities.

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