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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Cognex
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Cognex Corporation designs, develops, manufactures and markets a range of products that incorporate sophisticated machine vision technology that gives them the ability to "see." Cognex products include barcode readers, machine vision sensors and machine vision systems that are used in factories, warehouses and distribution centers around the world to guide, gauge, inspect, identify and assure the quality of items during the manufacturing and distribution process.