Joel John is currently pursuing a B.Tech in Artificial Intelligence, in Amrita Vishwa Vidyapeetham, Coimbatore. He focuses on developing advanced models for anomaly detection in PMU data using federated learning, transformers, and autoencoders. His work integrates encryption protocols like ChaCha20 and HMAC to ensure data integrity in smart energy networks. He has explored the application of quantum key encryption in securing SCADA and AMI systems while also analyzing AI’s role in urban planning, environmental monitoring, and smart city resilience through global case studies. With practical experience in research and technical writing, he is committed to designing privacy-preserving, ethically aligned, and explainable AI solutions that address real-world challenges at the intersection of sustainability, security, and innovation.