Information

  • Home
  • Call for Paper

Call For Papers

The ICASML 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 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:

  • Machine learning for autonomous navigation
  • Sensor fusion techniques in autonomous systems
  • Autonomous drones and machine learning
  • Safety challenges in autonomous systems
  • Machine learning for robotic control systems
  • Autonomous vehicles and AI technologies
  • Human-robot interaction using machine learning
  • Real-time decision making in autonomous systems
  • Autonomous systems in smart cities
  • Machine learning for environmental monitoring
  • Ethics of autonomous systems development
  • Autonomous systems for disaster response
  • Machine learning in autonomous manufacturing
  • Data-driven design of autonomous systems
  • Challenges in deploying autonomous systems
  • Autonomous systems for healthcare applications
  • Machine learning for predictive maintenance in robotics
  • Autonomous systems and cybersecurity concerns
  • Future directions in autonomous systems research
  • Integration of AI in autonomous technologies

Evaluation

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

Registration

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

Publication

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