Cognex
Dong Heon Cho is a seasoned researcher in deep learning and machine learning, currently serving as a Deep Learning Researcher at Cognex Corporation since February 2020, where the focus is on developing inspection systems. Prior experience includes a role as a Machine Learning Researcher at SUALAB from August 2019 to February 2020, dedicated to researching deep learning algorithms for inspection engineering. Dong Heon also completed a research internship at NAVER Corp in 2018, working on generating click-through rate optimized image-based advertising using deep learning techniques. Earlier experience at the Electronics and Telecommunications Research Institute involved developing smart factory algorithms via reinforcement learning for flexible manufacturing systems. Dong Heon holds a Master’s Degree in Industrial Engineering and two Bachelor of Engineering degrees in Information & Industrial Engineering and Computer Science from Yonsei University.
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