K. Martin Sagayam
Papers
3
Total Citations
118
H-Index
3
About
K. Martin Sagayam is a researcher at the forefront of computational imaging, medical image processing, and assistive robotics. His work bridges the gap between advanced mathematical algorithms and real-world healthcare solutions. Sagayam’s most influential contribution, the 2023 paper on “Improved parallel matrix multiplication using Strassen and Urdhvatiryagbhyam method,” has garnered 62 citations, showcasing his impact on high-performance computing. He is also widely recognized for his 2022 study on “Speckle Noise Removal by SORAMA Segmentation in Digital Image Processing to Facilitate Precise Robotic Surgery” (47 citations), which directly addresses the challenge of detecting kidney stones in ultrasound images—a critical step in reducing patient pain and improving surgical outcomes. Beyond diagnostics, Sagayam has advanced assistive technology with his 2020 work on a “Voice Controlled Intelligent Robotic Arm” for physically challenged individuals, emphasizing user acceptance and efficiency. His research not only pushes the boundaries of image segmentation and parallel computing but also translates these innovations into practical tools for robotic surgery and disability support, making him a key figure in applied computational science.
Research Focus
Key Achievements
Top Papers
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