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딥러닝에서 데이터 생성 모델의 대표적인 GANs가 실제 산업계에서 어떻게 쓰이는지 살펴보고자 한다. 특히, PCB 검사 장비에의 적용 및 인공위성의 자세 추정에서의 불확실성을 피하기 위한 적용 등 구체적인 사례를 공유하며, 생성 모델의 가능성을 고찰할 것이다.
l Education
– The University of Tokyo, Tokyo, Japan, Ph.D. in Electronic Engineering March 2006. (Thesis : Pseudo Planning for Immediate Response)
– The University of Tokyo, Tokyo, Japan, M.S. in Electrical Engineering September 2001 (Thesis : Visual Tracking and Localization of Planetary Rovers)
– Yonsei University, Seoul, South Korea, B.S. in Electrical Engineering August 1999
l Experience
– Lano Labs, San Diego, CA USA, Co-founder and CEO, 2020-present
– California Institute of Technology (Caltech), Pasadena, CA USA, Staff Scientist & Visitor, 2019-present
– Koh Young Research America (KYRA), San Diego, CA USA, Principal Engineer, 2017-2019
– Moovita, Singapore, Scientific Advisor, 2017-2019
– Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (A*STAR), Singapore, Research Scientist, 2014-2017
– Samsung S1, Seoul, South Korea, Senior Researcher, 2012-2013
– KAIST, Daejeon, South Korea, Postdoctoral Fellow, 2010-2012
– Samsung Advanced Institute of Technology (SAIT), Samsung Electronics, South Korea, Senior Researcher, 2009-2010
– California Institute of Technology (Caltech), Pasadena, CA USA, Postdoctoral Scholar, 2008-2009
– The University of Tokyo, Tokyo, Japan, Research Assistant, 2003-2006
– Institute of Space and Astronautical Science (ISAS), Japan Aerospace Exploration Agency (JAXA), Kanagawa, Japan, Research Assistant, 2000, 2002-2003, 2006-2008
l Honors and Awards
– The President’s Volunteer Service Award, the President’s Council on Service and Civic Participation, 2020
– Borderless Award, Agency for Science, Technology and Research (A*STAR), 2016
– Senior Member, IEEE, 2016
Copyright ⓒ 2015 KAIST Electrical Engineering. All rights reserved. Made by PRESSCAT
Copyright ⓒ 2015 KAIST Electrical Engineering. All rights reserved. Made by PRESSCAT
Copyright ⓒ 2015 KAIST Electrical
Engineering. All rights reserved.
Made by PRESSCAT
