About Event

SCOPE OF THE WORKSHOP
This workshop focuses on sustainable, high-efficiency autonomous wireless EV charging systems using AI- integrated, and quantum-aware embedded nitride semiconductor technologies. It covers wide bandgap devices (GaN/SiC), wireless power transfer, and embedded control for smart charging. Emphasis is on AI-driven optimization, predictive maintenance, and energy management, along with quantum-inspired modelling for performance enhancement. The workshop also explores smart grid integration, V2G systems, and renewable energy utilization, promoting scalable, intelligent, and eco-friendly EV charging infrastructure aligned with net-zero and sustainable mobility goals.

OBJECTIVES OF THE WORKSHOP Explore AI- and quantum-enabled embedded nitride semiconductor technologies for wireless EV charging.
Understand high-efficiency wireless power transfer and embedded system design.
Promote sustainable, energy-efficient EV charging with smart grid and V2G integration. Encourage research and industry collaboration in next-generation electric mobility

SCIENTIFIC COVERAGE AND TRAINING MODULES
AI- and Quantum-Enabled Embedded Nitride
Semiconductor Technologies
Autonomous Wireless EV Charging Systems and
High-Efficiency Wireless Power Transfer (WPT)
Embedded System Design, Real-Time Control,
and Predictive Maintenance
Sustainable EV Charging with Smart Grid, V2G,
and Renewable Energy Integration
Digital Twins and Quantum-Aware Algorithms
Future Trends in Electric Mobility, Energy- Efficient Power Electronics, and Smart Charging Infrastructure

TRAINING MODULES:
Introduction to Nitride Semiconductors and
Embedded Systems
AI Algorithms for Autonomous EV Charging
Quantum-Aware Modeling and Optimization
Techniques
Wireless Power Transfer Principles and High- Efficiency Converter Design
Embedded System Design for Real-Time Control and Monitoring
Smart Grid, V2G Integration, and Renewable
Energy Applications
Simulation and Digital Twin-Based Performance
Evaluation
Case Studies and Hands-On Design Exercises

RESOURCE PERSONS
Experts in AI-Integrated Embedded Systems
Specialists in Quantum-Aware Semiconductor
Technologies
Researchers in Nitride Semiconductor Devices
(GaN/SiC)
Professionals in Wireless EV Charging and
Power Electronics
Academicians in Embedded System Design and
Real-Time Control
Experts in Smart Grid, V2G, and Renewable
Energy Integration