Call For Papers

The ICAVML 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:

01
Machine learning for autonomous navigation
02
Sensor fusion in autonomous vehicles
03
Safety and reliability in AV systems
04
Real-time decision making for AVs
05
Machine learning for traffic prediction
06
Human-vehicle interaction technologies
07
Ethical implications of autonomous vehicles
08
Data privacy in autonomous driving
09
Vehicle-to-everything communication
10
Autonomous vehicle simulation techniques
11
Machine learning for route optimization
12
Challenges in AV deployment
13
Machine learning in driver assistance systems
14
Autonomous vehicle perception systems
15
Integration of AI in AV technology
16
Regulatory frameworks for AVs
17
Future trends in autonomous driving
18
Machine learning for fleet management
19
Environmental impact of autonomous vehicles
20
Collaborative driving systems with ML

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.

Publication

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



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