Chandramani Mahur

Papers

Total Citations

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About

Chandramani Mahur is a researcher at the forefront of intelligent systems, specializing in image processing, robotics, and machine learning applications. His most-cited work, "Image Processing Based Intelligent Mini Robotic Face Recognition System" (2023, 18 citations), addresses the critical challenge of managing and interpreting vast data streams in an increasingly connected world. By integrating advanced image processing algorithms with mini robotic platforms, Mahur developed a compact, efficient system capable of real-time face recognition—a contribution that bridges the gap between big data management and practical automation. This work showcases his ability to apply machine learning techniques to solve real-world problems in data-intensive environments. Mahur’s research holds significant promise for fields such as security, human-robot interaction, and smart surveillance, where rapid, accurate identification is paramount. His innovative approach to combining hardware miniaturization with intelligent software has laid a foundation for more responsive and autonomous systems. As the demand for data-driven automation grows, Mahur’s contributions continue to inspire further exploration into efficient, scalable solutions for the Internet of Things and beyond.