Nilakshi Maruti Mule

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About

Nilakshi Maruti Mule is a rising researcher at the intersection of intelligent systems, cybersecurity, and biomedical engineering, with a focused expertise in securing next-generation tele-robotic surgery. Her most-cited work, "An intelligent system with fuzzy-based inference engine for secured tele-robotic surgery" (2023, 6 citations), addresses a critical challenge in the Internet of Things (IoT) era: safeguarding remote surgical procedures. By integrating a fuzzy-based inference engine with robust access control mechanisms, Mule pioneers a framework that enhances both the intelligence and security of telerobotic systems, ensuring reliable automation for diagnostics and pharmaceutical processes. This contribution is vital as telemedicine expands, offering a blueprint for protecting patient data and operational integrity in high-stakes environments. Her research bridges theoretical AI with practical medical applications, demonstrating how fuzzy logic can adaptively manage security threats in real time. While early in her career, Mule’s work signals a significant step toward safer, smarter surgical robotics, earning recognition for its potential to transform critical care delivery. She continues to explore how intelligent systems can autonomously secure complex IoT-driven medical workflows.