International Conference on

Autonomous Vehicles and Machine Learning (ICAVML-27)

24th – 25th Mar 2027 | Kathmandu, Nepal | Hybrid Mode
Proudly organized by the : Institute for Global Academic Excellence (IGAE)

Call for Papers

The International Conference on Autonomous Vehicles and Machine Learning invites researchers, academicians, industry professionals, and practitioners to submit original and high-quality research contributions. The conference aims to provide a global platform for knowledge exchange, innovation, and collaboration across diverse research domains.

This conference focuses on emerging trends, practical challenges, and cutting-edge advancements in areas such as Machine Learning encouraging interdisciplinary research and innovative approaches to solving real-world problems.

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
Conference Registration
  • Accepted authors must register for the conference to present their work.
  • Early registration allows you to take advantage of discounted fees.
  • Check the registration page for more details.
Publication Opportunities

Selected papers will be published in the IGAE Conference Proceedings or other journals affiliated with IGAE. Authors whose papers are accepted for publication will be notified in advance.

Event Highlights
  • Keynote sessions by experienced speakers
  • Technical paper presentations across multiple topics
  • Opportunities for academic and professional networking
  • Discussions on current research developments

Quick Links

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