Papers
2
Total Citations
193
H-Index
2
About
Haomin Chen is a leading researcher in flexible electronics and computer vision, whose work bridges advanced materials science and deep learning for real-world sensing and detection. His primary research areas include flexible strain sensors, anisotropic nanostructures, and small object detection in aerial imagery. Chen’s most notable contribution is the development of an anisotropic, wrinkled, and crack-bridging structure for ultrasensitive, highly selective multidirectional strain sensors, published in 2021 and cited over 190 times. This work addresses a critical challenge in flexible electronics: accurately detecting complex strain states with high sensitivity and directional selectivity, enabling applications in wearable health monitors and soft robotics. More recently, Chen introduced V10Drone, an improved YOLOv10 architecture enhanced with Kolmogorov-Arnold Networks (KAN) for small object detection in drone-captured images. This lightweight, efficient model tackles the persistent problem of detecting tiny objects in high-resolution aerial scenes, with applications in surveillance and autonomous navigation. Chen’s research demonstrates a rare ability to innovate across disciplines, from nanomaterial engineering to algorithmic optimization, making significant impacts in both fundamental science and applied technology.
Research Focus
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Top Papers
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