Research Publications

Academic and industry-focused research contributions

AI-Driven Hybrid RF/FSO Communication Framework for Secure Smart Grid and EV Networks under Composite Fading

Nookala Venu, Mehak Kapoor, Nitesh Patidar, Naval Kishor Sharma, Manjeet Rajput, Vikash Dhakad

This paper presents an innovative AI-driven hybrid RF/FSO (Radio Frequency/Free Space Optical) communication framework designed for secure smart grid and electric vehicle networks. The framework leverages machine learning techniques to optimize performance under composite fading conditions.

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AI-Enabled Joint Optimization of 6G Cognitive Radio Quality of Service and Hybrid Microgrid Energy Efficiency Using Federated and Reinforcement Learning

Nookala Venu, Mehak Kapoor, Nitesh Patidar, Naval Kishor Sharma, Manjeet Rajput, Vikash Dhakad

This research proposes an AI-enabled framework for joint optimization of 6G cognitive radio QoS and hybrid microgrid energy efficiency. The study employs federated learning and reinforcement learning algorithms to achieve optimal resource allocation and energy management in next-generation networks.

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