Professor

Education

• Ph.D., Industrial Engineering, Arizona State University, Tempe, AZ 2018

• M.S., Statistics, Georgia Institute of Technology, Atlanta, GA 2013

• M.S., Industrial Engineering, Korea University, Seoul, Republic of Korea, 2012

• B.S., Industrial Engineering, Korea University, Seoul, Republic of Korea, 2010

Employment

• Associate Professor, Department of Industrial Engineering, Yonsei University, 08/2021-current

• Associate Professor, Biomedical Integrative Research Center, Gangnam Severance Hospital, 03/2023-current

• Assistant Professor, Department of Systems Science and Industrial Engineering, Binghamton University, SUNY, Binghamton, New York, 08/2020-08/2021

• Postdoctoral Fellow, ASU-Mayo Center for Innovative Imaging, 01/2019-08/2020

Methodological developments in statistical modeling and machine learning

• Transfer learning for joint modeling of heterogeneous domains

• Model fusion (knowledge-based model and data-driven machine learning model)

• Feature and instance selection in semi-supervised learning

• Representation learning in image and sensors

• Deep learning (domain adaptation, feature transfer, multitask learning, synthetic imaging)

Application domains

• Health care:

  • • Smartphone-based telemonitoring of Parkinson’s Disease

    • Imaging-based diagnosis and prognosis of brain cancer, breast cancer, and neurological diseases (migraine, Alzheimer’s disease)

    • Reproducible machine learning (domain adaptation)

• Engineering domains:

  • • Anomaly Detection

    • Heterogeneous Data Fusion (Imaging and Acoustic Data from boiling images)

    • Building energy efficiency monitoring, prediction, and fault detection   

    • Quality improvement in semiconductor manufacturing processes, packaging yield prediction in the post-fabrication process

Awards   

• • Outstanding Achievement Professor Award, Excellence Award in Teaching, Yonsei University, 2022

  • Teaching Award, Yonsei University, 2022, 2023 

  • Teaching Award, Graduate School of Engineering, Yonsei University, 2022 Spring, 2023 Spring, 2023 Fall, 2024 Spring

  • Finalist, Best Paper Competition (DAIS Track), IISE Annual Conference & Expo, 2021

  • Best Paper Award (Applied Track), The INFORMS Data Mining and Decision Analysis Workshop, 2019, 2023

  • CIDSE Doctoral Fellowship, Arizona State University, 2014-2015

  • Best Paper Award, Thesis Competition on Korean Institute of Industrial Engineers, 2010

  • Songwon Scholarships, Songwon Foundations, 2004, 2005, 2006, 2010, 2011

Collaborators   

• • Manufacturing

    • SK Hynix

    • Samsung Display, Samsung Electronics

    • LG Energy Solution, LG CNS

    • Konan Technology

  • Medical 

    • Mayo Clinic, Columbia University, Georgia Institute of Technology

    • Severance Hospital, ON:TACT HEALTH

    • Amgen, Univ. of Pennsylvania Dental Medicine

    • Banner Health, Arizona State University, SUNY at Binghamton

  • Other domains

    • Drexel University Civil Engineering and Mechanical Engineering, Texas A&M Mechanical Engineering

    • FnGuide 

    • FNC Technology