Deokyun
Research Scientist at Electronics and Telecommunications Research Institute
Summary
Dokyoon Yoon is a researcher with eight years of experience applying deep learning and sensor processing across industry and clinical settings, currently based at ETRI in Seoul. His career trajectory spans startups and national labs—including Sionic AI, Seoul National University Hospital, AgileSoDA, and KIST—where he translated academic rigor from a Korea University education into applied research and prototype systems. He has focused on bridging sensor data and machine learning to solve real-world problems in healthcare and AI, often working at the intersection of engineering and experimental validation. Known for moving between institutional research and product-minded teams, he brings both exploratory investigation and practical implementation experience. Colleagues would note his ability to adapt methods from lab-scale studies to applied deployments, a skill reflected in his varied appointments and project contexts.
7 years of coding experience
Github Skills (5)
super-resolution9
face9
pytorch6
progressive6
object-detection5
Programming languages (1)
Github contributions (5)
DeokyunKim/Research_Project
Sep 2019 - Sep 2019
Contributions:21 commits, 19 pushes, 1 branch in 15 days
DeokyunKim/Progressive-Face-Super-Resolution
Jul 2019 - Jul 2019
Contributions:17 pushes, 1 branch in 13 days
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