Professor

Education
  • 2018

    Ph.D., Industrial Engineering

    Arizona State University, Tempe, AZ

  • 2013

    M.S., Statistics

    Georgia Institute of Technology, Atlanta, GA

  • 2012

    M.S., Industrial Engineering

    Korea University, Seoul, Republic of Korea

  • 2010

    B.S., Industrial Engineering

    Korea University, Seoul, Republic of Korea

Employment
  • 2026

    Department Chair

    Department of Industrial Engineering, Yonsei University

    Mar. 2026–present

  • 2023

    Associate Professor

    Biomedical Integrative Research Center, Gangnam Severance Hospital

    Mar. 2023–present

  • 2021

    Associate Professor

    Department of Industrial Engineering, Yonsei University

    Aug. 2021–present

  • 2020

    Assistant Professor

    Department of Systems Science and Industrial Engineering, Binghamton University, State University of New York, Binghamton, NY

    Aug. 2020–Aug. 2021

  • 2019

    Postdoctoral Fellow

    ASU-Mayo Center for Innovative Imaging

    Jan. 2019–Aug. 2020

Methodological Developments
  • 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 images and sensors
  • Deep learning (domain adaptation, feature transfer, multitask learning, synthetic imaging)
Application Domains

Healthcare

  • 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 in Teaching, Yonsei University, 2022
  • Teaching Award, Yonsei University, 2022–2025
  • Teaching Award, Graduate School of Engineering, Yonsei University, 2022 Spring, 2023 Spring–2024 Fall, 2025 Fall
  • Gold Prize, Samsung Display Industry-Academia Collaborative Paper Competition, 2025
  • Finalist, Best Paper Competition (DAIS Track), IISE Annual Conference & Expo, 2021
  • Best Paper Award (Applied Track), INFORMS Data Mining and Decision Analysis Workshop, 2019, 2023
  • CIDSE Doctoral Fellowship, Arizona State University, 2014-2015
  • Best Paper Award, Thesis Competition, Korean Institute of Industrial Engineers, 2010
  • Songwon Scholarships, Songwon Foundations, 2004, 2005, 2006, 2010, 2011
Collaborators

Manufacturing

  • SK hynix
  • Samsung Display, Samsung Electronics, Samsung E&A
  • HD Hyundai Electric, Hyundai Motors
  • LG Energy Solution, LG CNS
  • Konan Technology
  • Amore Pacific
  • PK Corporation (Vietnam, Indonesia)

Medical

  • Mayo Clinic, Columbia University, Georgia Institute of Technology
  • Severance Hospital, ON:TACT HEALTH
  • Amgen, University 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
  • University of Toronto
  • FnGuide
  • FNC Technology
  • KOSPO / KOEN / KOWEPO