Ramya Ramalingam

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About

Ramya Ramalingam is a researcher working at the intersection of robotics, autonomous systems, and public health applications. Her work focuses on developing intelligent planning and coverage algorithms for robotic systems, with a particular emphasis on real-world impact in healthcare and environmental safety. One of her most notable contributions is her research on optimized coverage planning for UV surface disinfection, where she developed a near-optimal coverage planner for mobile UV disinfection robots — a timely and critical advancement given the growing need for automated pathogen deactivation strategies in healthcare and public spaces. This work directly addresses limitations in existing UV irradiation methods, such as incomplete surface exposure and excessive disinfection times, offering a more efficient and reliable solution. With citations accumulating since its 2021 publication, her research has begun attracting attention from the robotics and infection control communities. Ramalingam's contributions demonstrate a compelling ability to bridge theoretical algorithmic development with pressing practical challenges, making her work particularly relevant for researchers and students interested in applied robotics, motion planning, and autonomous systems designed for human benefit.