Jae Youn Hwang

Jae Youn Hwang is currently an Associate Professor at Daegu Gyeongbuk Institute of Science & Technology

Education

Ph. D., Biomedical Engineering, University of Southern California, Los Angeles, USA. 2009

M.S., Biomedical Engineering, Seoul National University(SNU), Seoul, Korea, 2003

B.S., Electrical Engineering, KoreaUniversity, Seoul, Korea, 2001

Position and Appointments

Daegu Gyeongbuk Institute of Science & Technology (DGIST), Associate Professor, Sep. 2017 – Current
Daegu Gyeongbuk Institute of Science & Technology (DGIST), Assistant Professor, Feb.2014 – Aug. 2017
NIH UTRC Center, Research Associate, Mar. 2012 – Jan. 2014
Cedars-Sinai Medical Center, Postdoctoral Researcher, Aug.2009 – Mar.2012
SNU Medical Research Center, Researcher, Aug. 2003 – Aug. 2004

Awards/Honor

Best Teaching Award at DGIST, 2016
IEEE RTCSA 2016 Outstanding Service Award, 2016
Malaniak award at CSMC (final list), 2010
Grodins Symposium Best Poster Award at USC, 2009
Frederick Urbach Travel Award at American Society for Photobiology, 2008
Graduate fellowship, Korea Science and Engineering Foundation, 2004-2005
Special Honors Student Award at Korea University, 2000

Selected publications

Kyungsu Lee, HaeYun Lee, Jae Youn Hwang*, “Self-Mutating Network for Domain Adaptive Segmentation in Aerial Images” International Conference on Computer Vision (ICCV2021)

Kyungsu Lee, Junhee Kim, Haeyun Lee, Juhum Park, Jihwan P. Choi*, Jae Youn Hwang*, “Boundary-Oriented Binary Building Segmentation Model with Two Scheme Learning for Aerial Images”, IEEE Transactions on Geoscience & Remote Sensing (10.1109/TGRS.2021.3089623)

Haeyun Lee, Young Jun Chai, Hyunjin Joo, Kyungsu Lee, Jae Youn Hwang, Seok-Mo Kim, Kwangsoon Kim, Inn-Chul Nam, June Young Choi, Hyeong Won You, Myung-Chul Lee, Hiroo Masuoka, Akira Miyauchi, Kyu Eun Lee, Sungwan Kim, Hyoun-Joong Kong, “Federated Learning for Thyroid Ultrasound Image Analysis to Protect Personal Information: Validation Study in Real Healthcare Environment” JMIR Medical Informatics (2021)

Hah Min Lew, Heean Shin, Moon Hwan Lee, Sangyeon Youn, Hee Chan Kim, and Jae Youn Hwang*, “Ultrasonic Blood Flowmeter with a Novel Xero Algorithm for a Mechanical Circulatory Support System”, Ultrasonics (2021): 106457.

Moon Hwan Lee and Jae Youn Hwang*, “Development of deep learning-based holographic ultrasound generation algorithm (Deep-HUG)”, The Journal of the Acoustical Society of Korea, 41(2), 2021.