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About

Xiyuan Hu is a pioneering researcher at the intersection of optical coherence tomography (OCT), robotics, and artificial intelligence, whose work is redefining forensic science and biometric security. Hu’s key research areas include non-destructive imaging, deepfake detection, and autonomous fingerprint analysis. Their most impactful contribution is the development of a robotic-arm-assisted OCT system for non-destructive inspection and microsurgery of monolithic storage devices, enabling data recovery without physical destruction—a breakthrough for legal and business applications. This work has garnered 31 citations. Hu also introduced a novel gender classification method using spatio-frequency feature fusion of OCT fingerprint images, achieving 12 citations, and created a deepfake detection model for embodied AI, cited 10 times. Further advancing forensics, Hu’s object-driven OCT technique enables rapid, autonomous, ultra-large-area detection of latent fingerprints, cited 7 times. By integrating OCT with robotics and AI, Hu is solving critical challenges in data recovery, biometric authentication, and security, making their research highly influential in both academic and practical domains.