Mehedi Masud

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Total Citations

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About

Dr. Mehedi Masud is a robotics and computer vision researcher whose work bridges intelligent control systems and energy-efficient multi-robot coordination. His most cited work, a 2021 study on a computer vision-based robotic arm controlled via an interactive GUI (52 citations), demonstrates his focus on making industrial robotics more accessible through intuitive human-machine interfaces, reducing the need for specialized operator training. In parallel, his influential research on an adaptive flower pollination algorithm for energy-efficient routing in multi-robot systems (30 citations) tackles a fundamental challenge in autonomous exploration: maximizing battery life while maintaining reliable communication between robots and base stations. This work is critical for long-duration missions in unknown or hazardous environments. Dr. Masud’s contributions sit at the intersection of applied artificial intelligence, sensor integration, and practical robotics deployment. His publications have garnered significant early-career impact, with his GUI-based control system being particularly well-cited as a reference for accessible robotic automation. For students and researchers, Dr. Masud’s work offers a compelling model of how optimization algorithms and user-centered design can solve real-world robotics challenges.