Mukul Gupta

University of Petroleum and Energy Studies

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About

Mukul Gupta is a researcher whose work lies at the intersection of distributed data mining and precision robotics. His key research areas include association rule mining in distributed environments and the kinematic control of surgical robotic systems. Gupta’s major contribution is a novel approach to distributed association rule mining that drastically reduces communication overhead, enabling efficient data analysis across decentralized networks without compromising accuracy. This work, published in 2019, has garnered 4 citations and is foundational for scalable data processing in resource-constrained settings. In parallel, Gupta has made significant strides in medical robotics, particularly in controlling a 2PRP-configuration surgical robot—a system with two revolute joints, one prismatic joint, and another revolute joint connected in series. His research focuses on achieving precise and accurate motion control for minimally invasive surgeries, addressing challenges like external disturbances that can compromise surgical outcomes. By developing robust control algorithms for this unique kinematic chain, Gupta enhances the reliability of robot-assisted procedures. His dual expertise in data mining and robotics showcases a versatile approach to solving complex, real-world problems, positioning him as a promising contributor to both fields.