Krishna Pavan Inala

Krishna Inala has received his Ph.D. degree from the Electronics and Electrical Engineering Department, Indian Institute of Technology, Guwahati, Assam, India in August 2020. The title of his thesis is “Impact of Communication Systems on Distributed Node Voltage and Vehicle to Grid Controller in a Smart Grid Scenario”. He received his M.E. degree in Communication and Networking from Anna University, Chennai, India in 2011. He obtained his B.Tech. degree in Electronics and Communication Engineering from JNTU, Hyderabad, India in 2008. Dr. Krishna Pavan Inala’s current research applies Artificial Intelligence and Machine Learning to make Smart Grids more efficient and secure. His work mainly focuses on Vehicle-to-Grid (V2G) systems, communication networks, and Advanced Metering Infrastructure (AMI) security. He studies how communication affects grid performance and develops intelligent algorithms for safe and efficient energy exchange. His ongoing work includes IoT-based smart metering and reinforcement learning for grid optimization. Overall, his research connects Smart Grids, AI, and communication to build smarter and more reliable energy networks

Publications

Next Generation Healthcare Systems Driven by Metaverse, Artificial Intelligence, and Federated Learning
Next Generation Healthcare Systems Driven by Metaverse, Artificial Intelligence, and Federated Learning
Rampelli Manojkumar, T. Aditya Sai Srinivas, Ramesh Babu Pittala, Santhosh Kumar Veeramalla, Krishna Pavan Inala, Arindam Mitra. © 2026. 40 pages.
This chapter examines the emergence of next-generation healthcare systems shaped by the integrated adoption of immersive digital environments, artificial intelligence, and...