Avik Ghose

Papers

Total Citations

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About

Avik Ghose is a researcher at the intersection of artificial intelligence, sensing systems, and applied healthcare technology. His work spans three key domains: AI-driven medical applications, non-contact vibration analysis for industrial machinery, and infrastructure-free 3D tracking for smart devices. Ghose’s most impactful contribution to date is his 2020 paper “Artificial Intelligence and Machine Learning: A New Disruptive Force in Orthopaedics,” which has garnered 43 citations and positions him as a forward-thinking voice in surgical innovation. In the realm of computer vision and manufacturing, he proposed a novel framework for analyzing multi-point, multi-frequency machine vibrations using optical sampling from low-fps cameras—enabling unobtrusive, at-a-distance health monitoring of factory equipment. He also introduced AiRite, a system for precise 3D tracking of smart wearables without relying on external infrastructure, with applications in AR, gesture recognition, and robotics. Additionally, Ghose has tackled the challenge of surgical smoke dehazing in minimally invasive robotic surgeries, developing algorithms to restore visual clarity during cauterization. His diverse portfolio reflects a commitment to solving real-world problems through elegant, infrastructure-light sensing and intelligent algorithms.