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About

Tianyi Tang is a pioneering researcher at the intersection of wearable electronics, human-machine interfaces, and advanced manufacturing. His work centers on developing intelligent systems that bridge biological signals with digital control, with a particular focus on silent speech recognition and next-generation interaction technologies. Tang's most influential contribution is his 2021 study on "All-weather, natural silent speech recognition via machine-learning-assisted tattoo-like electronics," which has garnered 98 citations. This breakthrough introduces ultra-thin, tattoo-like sensors that can decode unspoken words through subtle muscle movements, offering transformative potential for individuals with aphasia and enabling seamless human-machine communication in noisy environments. Building on this, Tang developed a Delta-parallel-inspired triboelectric nanogenerator-based interface (30 citations) that enables intuitive 3D and VR/AR manipulations without external power sources. His expertise extends to additive manufacturing, where he has advanced robotic laser directed energy deposition for fabricating complex tubular components with variable overhang angles (29 citations), demonstrating adaptive trajectory planning for industrial applications. Tang's interdisciplinary approach—combining materials science, machine learning, and robotics—positions him as a key innovator in creating more natural, accessible, and robust interaction technologies for real-world use.