Ke Tang

Southern University of Science and Technology

Papers

Total Citations

H-Index

About

Ke Tang is a leading researcher in flexible electronics and intelligent sensor design, whose work bridges the gap between materials engineering and data-driven methodologies. His primary research areas include flexible pressure sensors, electronic skins, and inverse design strategies for optimizing device performance. Tang’s most notable contribution is pioneering a data-driven inverse design framework for flexible pressure sensors, which replaces the conventional, time-consuming trial-and-error approach with a more efficient structure-to-property optimization. This breakthrough, detailed in his highly cited 2024 paper (51 citations), enables the rapid development of artificial skins that mimic human mechanoreceptors, transducing tactile stimuli into precise electrical signals. By integrating machine learning with materials science, Tang has significantly accelerated the design cycle for wearable electronics and soft robotics. His work has garnered substantial attention, with his top-cited paper already influencing the field within its first year. Tang’s innovative approach not only enhances sensor sensitivity and reliability but also sets a new paradigm for intelligent, automated design in flexible electronics, marking him as a rising authority in next-generation human-machine interfaces.