Anika Anis Mumu

Rajshahi University of Engineering and Technology

Papers

Total Citations

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About

Anika Anis Mumu is a forward-thinking researcher at the intersection of digital healthcare and the Internet of Robotic Things (IoRT). Her primary research areas include collaborative digital twin (DTw) technology, IoRT-enabled surgical systems, and the future of smart medical infrastructure. In her highly cited 2022 work, Mumu explores how DTw and IoRT can revolutionize the surgical sector by creating virtual replicas of physical entities—such as surgical tools, robotic systems, and even human anatomy—to enable real-time monitoring, simulation, and decision-making. This paper, with 31 citations, is recognized for outlining both the technical innovations and the critical challenges of integrating these technologies into clinical practice. Mumu’s contributions are particularly notable for framing a collaborative ecosystem where physical and digital systems work in tandem to enhance surgical precision, safety, and outcomes. Her work has been influential in advancing the conversation around next-generation healthcare automation, positioning her as a key voice in the emerging field of IoRT-driven medical transformation. For students and researchers, Mumu’s research offers a compelling vision of how digital twins and connected robotics could redefine the future of surgery.