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About

Sang Hyun Park is a leading researcher at the intersection of artificial intelligence, neural engineering, and robotic-assisted medical interventions. His work primarily focuses on developing intelligent systems for energy harvesting, prosthetic control, and micro-robotic surgery. Park’s most impactful contribution is his pioneering work on "Smart data processing for energy harvesting systems using artificial intelligence" (2022), which has garnered 99 citations and demonstrates how AI can optimize energy capture and management in autonomous systems. In the domain of neural prosthetics, he developed a groundbreaking framework for intention recognition and sensory feedback, using a convolutional neural network (CNN) to classify EMG signals and a rule-based haptic device to provide proprioceptive feedback—enabling more intuitive control of robotic prosthetic hands. Park has also made significant strides in micro-robotic surgery, introducing deep learning methods for real-time tracking of guidewire robot tips (19 citations) and flexible penetrating microelectrode arrays for long-term in-vivo neural recording (12 citations). His work on catheter segmentation using adversarial augmentation further addresses critical challenges in fluoroscopy-guided interventions. With over 165 total citations across his most-cited works, Park’s research is shaping the future of intelligent, AI-driven biomedical systems.