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About

Meghana Lokhande is a researcher at the forefront of integrating the Internet of Things (IoT) with next-generation healthcare, specializing in tele-robotic surgery and machine-to-machine (M2M) communication. Her work addresses critical challenges in this domain, including network security, energy efficiency, and device classification. Lokhande’s most impactful contribution, "Network Performance Measurement through Machine to Machine Communication in TeleRobotics System" (9 citations), explores how independent M2M devices can exchange information over vulnerable wireless networks. She further advances the field with an "intelligent system with fuzzy-based inference engine for secured tele-robotic surgery" (6 citations), providing a novel access control mechanism for IoT-driven medical automation. To enhance operational sustainability, Lokhande also investigates energy optimization through the LEACH protocol in IoT networks (5 citations), a crucial step for reliable tele-surgery. Her comprehensive reviews on device classification for M2M communication and robot-assisted surgery establish foundational taxonomies for managing the growing complexity of smart medical devices. Through this focused body of work, Lokhande is shaping a more secure, efficient, and intelligent future for remote surgical systems.