Je‐Won Kang

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About

Je-Won Kang is a researcher whose work spans two distinct yet impactful domains: advanced materials for smart systems and cutting-edge computer vision for immersive media. In the field of magnetorheological (MR) fluids, Kang has made critical contributions by investigating the long-term reliability of these smart materials. Their 2015 study on the field-dependent characteristics of MR fluids containing corroded iron particles (10 citations) directly addresses a key challenge for vehicle and robotic applications—how corrosion during extended operation degrades control performance. This work is essential for engineers designing durable, real-world MR devices. Simultaneously, Kang has advanced the frontier of 360° image processing. Their 2021 paper on reference-based super-resolution for omnidirectional images (8 citations) introduces a novel latitude-aware convolution technique that bridges synthetic and real data. This innovation is pivotal for autonomous robot systems and virtual reality, where high-resolution 360° views are critical. By leveraging adjacent views to enhance target image resolution, Kang’s work enables more immersive and reliable visual experiences. Through these dual research streams, Kang demonstrates a rare ability to solve fundamental problems in both materials science and computational imaging, making their work valuable for students and researchers in robotics, VR, and smart materials.