- Autonomous Electric Vehicles and Self-Driving Technology
- Intelligent Charging and Battery Management Systems
- Machine Learning for Vehicle Safety and Control
- Electric Vehicle Fleet Management and Optimization
- Smart Grid Integration for EVs
- Data Analytics for EV Performance and Efficiency
- Vehicle-to-Grid (V2G) Communication and Optimization
- Machine Learning Applications in EV Manufacturing
- Charging Infrastructure and Network Optimization
- Energy Storage Solutions for Electric Vehicles
- Human-Machine Interaction in Automated EVs
- Electric Vehicle Cybersecurity and Data Privacy
- Sustainable Transportation and Green Mobility
- Machine Learning for Predictive Maintenance in EVs
- Ethical and Social Implications in EV Automation
- Case Studies and Best Practices in Electric Vehicle Automation
Authors are encouraged to submit their original research papers within these areas for presentation at the symposium. Outstanding papers may be considered for publication in Lecture Notes in Electrical Engineering, providing authors with a platform to share their pioneering research with a global audience.
For specific submission guidelines and additional details, please visit the conference website or contact the organizers. Your active participation and contributions to the International Symposium on Emerging Automation of Electric Vehicles and Machine Learning Techniques are instrumental in advancing the integration of automation and machine learning in the electric vehicle industry, driving innovation, and shaping the future of sustainable transportation.