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About

Mengjia Guo is a rising leader in wearable electronics and human-machine interaction, whose work bridges triboelectric nanogenerators, electronic skins, and neuromorphic computing. Her most cited paper (2025, 60 citations) introduces a wearable pressure sensor that encodes information, recognizes gestures, and wirelessly controls robots in real time—overcoming the bulkiness of traditional glove-based interfaces. She further advanced the field with a multimodal, ultrasensitive electronic skin (2024, 36 citations) featuring a gradient micro-frustum ionogel, enabling imaginary keyboard typing and haptic cognition. Guo has also pioneered all-inorganic perovskite artificial synapses for self-optimized neuromorphic computing (2024, 18 citations) and developed a noncontact triboelectric nanogenerator using stretchable MWCNTs/MXene/Ecoflex films for high-accuracy handwritten recognition (2025, 17 citations). Her work has garnered over 130 citations, reflecting its impact on next-generation wearable tech. Notably, her sensors achieve record sensitivity and multifunctionality, positioning her as a key innovator in smart materials and interfaces. For students and researchers, Guo’s research exemplifies how integrating nanomaterials and device engineering can create intuitive, skin-like systems that transform how humans interact with machines.