Zilong Song

Nanjing University of Finance and Economics, Fudan University, Tianjin University

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About

Dr. Zilong Song is a pioneering researcher at the intersection of artificial intelligence, human motor control, and rehabilitation robotics. His work spans three transformative domains: the economic implications of AI adoption, the neuroplastic mechanisms underlying robotic rehabilitation, and the biomechanics of expert motor coordination. In his highly cited 2024 study on supply chain diffusion mechanisms for AI applications, Dr. Song demonstrated how AI adoption reshapes audit pricing structures—a contribution that has rapidly garnered 27 citations for its practical relevance to industry and policy. More recently, he has broken new ground in therapeutic robotics with his "Gaze and Go" framework, which integrates eye-tracking and tailored gamification to harness visual attention valence for upper-limb rehabilitation. This innovative approach aims to promote functional neuroplasticity in patients with motor impairments, representing a significant leap in personalized neurorehabilitation. Dr. Song’s foundational model of multi-finger coordination in keystroke movements, though early in its citation trajectory, offers profound insights into how professional pianists achieve extraordinary dexterity through precise multi-motor neural regulation. His work uniquely bridges computational modeling, clinical application, and economic analysis, positioning him as a versatile scholar whose research has immediate implications for AI governance, assistive technology, and our fundamental understanding of human movement.