M. Ayyadurai

Papers

Total Citations

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About

M. Ayyadurai is a researcher at the forefront of applied artificial intelligence and industrial automation, with key contributions in underwater image enhancement and robotic process optimization. Their most influential work, "An Effectual Underwater Image Enhancement using Deep Learning Algorithm" (2021), has garnered 60 citations, addressing critical challenges in digital image processing for applications like robotic exploration and underwater network formation. This research introduces novel deep learning techniques to improve visibility and clarity in degraded underwater environments, directly supporting advancements in marine robotics and autonomous systems. Ayyadurai’s second highly cited paper, "Process time reduction in fettling and grinding process using Mitsubishi robot" (2022, 26 citations), demonstrates their expertise in industrial robotics, focusing on cost-efficient, flexible automation to replace traditional CNC machining. By optimizing robot machining workflows, this work reduces production time while maintaining high precision, offering practical solutions for modern manufacturing. Together, these studies highlight Ayyadurai’s dual impact: pushing the boundaries of computer vision for challenging environments and streamlining industrial processes through intelligent robotics. Their research bridges theoretical deep learning with tangible engineering outcomes, making them a notable figure in both image processing and automation fields.