Max Robotics — Global Service Robot Directory + US Certification

About

Jeongmin Park is a versatile computer scientist whose research spans computer vision, deep learning, and cyber-physical systems (CPS). With a career trajectory stretching from foundational work in autonomous control architectures to cutting-edge visual intelligence, Park has established a distinctive profile bridging intelligent systems design and modern machine perception. Park's most impactful contributions lie in visual recognition tasks, including human action recognition from drone imagery, multi-object segmentation, scene understanding, and hand gesture recognition for accessibility applications — work that collectively reflects a commitment to real-world, socially meaningful technology. His 2023 paper on aerial human action recognition has already garnered 62 citations, signaling strong community interest in drone-based behavioral analysis. Complementary work on CNN-driven scene recognition (21 citations) and gesture-based communication aids for deaf communities (20 citations) further demonstrates his range. Earlier in his career, Park contributed foundational research on self-adaptive and autonomic control systems for high-reliability CPS environments, with publications dating to 2010 and 2013 that remain relevant to industrial safety and automation. His 2020 study on manufacturing facility safety using multimedia tools bridges both phases of his research identity. Collectively accumulating over 160 citations, Park's body of work offers valuable reading for students interested in applied deep learning, assistive technology, and intelligent autonomous systems.