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About

Hongda Chen is a versatile researcher whose work spans photonics, robotics sensing, and intelligent positioning systems. His most impactful contribution lies in the rapidly advancing field of metasurface optics, where his 2021 paper on on-chip structured light generation through metasurface optoelectronic integration has garnered 88 citations, demonstrating the potential of ultrathin, flat optical components to revolutionize conventional optics through precise subwavelength wavefront control. Beyond photonics, Chen has made meaningful strides in robotic sensing technology, developing flexible capacitive tactile sensor arrays with microstructures — work that has attracted 56 citations since 2014 — as well as high-density fingertip sensors designed to mimic human tactile perception. His earlier contributions to robot tracking using SURF features and Kalman filtering reflect a long-standing interest in intelligent robotic systems. More recently, Chen has turned his attention to visible light indoor positioning, applying attention mechanism convolutional neural networks to improve the stability and precision of camera-based localization. Across these diverse domains, his research consistently bridges hardware innovation with intelligent algorithmic design, making him a notable contributor to the intersection of photonics, flexible electronics, and autonomous robotic systems.