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About

Rajesh Gupta is a pioneering researcher at the intersection of blockchain, artificial intelligence, and next-generation healthcare systems. His primary research areas include telesurgery, Healthcare 4.0, federated learning, and network security, with a particular focus on enabling secure, intelligent remote surgical procedures. His most influential work, "BATS: A Blockchain and AI-Empowered Drone-Assisted Telesurgery System Towards 6G," has garnered 108 citations, establishing a foundational framework for integrating AI and blockchain to address critical challenges in telesurgery such as security, trust, and transparency. Gupta's subsequent contributions, including the "BITS" scheme (70 citations) and his work on artificial neural network-driven federated learning for heart stroke prediction (39 citations), demonstrate his sustained impact on smart healthcare. He has also produced comprehensive reviews on blockchain and federated learning-based security solutions for telesurgery, and explored cutting-edge applications like quantum key distribution for telesurgery in metaverse environments. His research consistently addresses real-world challenges in Healthcare 4.0, from DDoS attack detection to explainable AI-based data security, making him a leading voice in the secure and intelligent transformation of remote healthcare delivery.