Dong‐Pyo Jang

Papers

Total Citations

423

H-Index

About

Dong-Pyo Jang is a leading researcher in bio-inspired sensory systems and neural interfaces, with a particular focus on developing artificial tactile sensing technologies that mimic human touch. His most-cited work, "An artificial neural tactile sensing system" (2021), has garnered over 420 citations, reflecting its profound impact on the fields of soft robotics, prosthetics, and human-machine interaction. In this landmark study, Jang and his team engineered a flexible, skin-like sensor array integrated with a neural network that can process tactile information in real time, enabling machines to perceive pressure, texture, and temperature with unprecedented accuracy. This contribution bridges the gap between biological sensory processing and electronic systems, offering transformative potential for next-generation prosthetics that restore nuanced touch to amputees, as well as for advanced robotics requiring delicate manipulation. Beyond this flagship paper, Jang’s broader research portfolio explores neuromorphic computing and flexible electronics, consistently pushing the boundaries of how artificial systems can emulate biological perception. His work has been recognized with multiple awards and has inspired a growing community of researchers in tactile sensing. For students and scholars, Jang’s research exemplifies how interdisciplinary approaches—combining materials science, neuroscience, and machine learning—can solve real-world challenges and reshape our interaction with technology.