Sabyasachi Pramanik

Papers

Total Citations

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About

Sabyasachi Pramanik is a researcher whose work bridges the critical intersection of medical imaging, artificial intelligence, and financial technology. His primary research areas include digital image processing, robotic surgery, and hyper-automation in the financial sector. Pramanik’s most cited work, "Speckle Noise Removal by SORAMA Segmentation in Digital Image Processing to Facilitate Precise Robotic Surgery" (2022, 47 citations), introduces a novel segmentation technique to enhance ultrasound images for detecting kidney stones—a common yet painful condition. By reducing speckle noise, his method improves the accuracy of robotic-assisted surgeries, directly impacting patient outcomes in urology. More recently, Pramanik has explored the transformative potential of hyper-automation in finance, co-authoring "Financial Sector Hyper-Automation" (2024, 7 citations), which examines how AI, machine learning, and robotic process automation are reshaping banking and investment. This forward-looking work highlights his versatility in applying computational methods to both healthcare and fintech. With a growing citation record and contributions that address real-world challenges—from surgical precision to automated financial systems—Pramanik is establishing himself as a researcher who leverages cutting-edge technology to solve complex, interdisciplinary problems.