Fuqian Shi

Rutgers, The State University of New Jersey, Wenzhou Medical University

Papers

Total Citations

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About

Dr. Fuqian Shi is a leading researcher at the intersection of biomedical signal processing, computational intelligence, and robotics. His most influential work focuses on decoding human emotion through physiological signals, particularly surface electromyography (sEMG). In his highly cited 2021 study, Shi pioneered a novel approach that combines Markov transition fields with deep neural networks to classify emotion-driven sEMG signals, achieving remarkable accuracy and opening new avenues for affective computing and human-computer interaction. This work has garnered 37 citations, underscoring its impact on the field. Beyond emotion recognition, Shi has made significant contributions to computational vision and bio-inspired computing, co-editing a widely referenced 2020 volume on these emerging trends. His earlier research in robotics includes developing self-calibration methods for dead reckoning sensors in skid-steer mobile robots using neuro-fuzzy systems, demonstrating his versatility across disciplines. Dr. Shi’s work bridges the gap between biological signal interpretation and intelligent system design, offering practical solutions for assistive technologies, rehabilitation, and autonomous navigation. His interdisciplinary approach continues to inspire researchers exploring the frontiers of human-machine symbiosis.