Professor

Biography

Dr. Sungil Kim is an Associate Professor in the Department of Industrial Engineering at UNIST. He focuses on modern challenges in quality engineering in the era of AI—such as sensor drift, inefficient data representation, and class imbalance—leveraging sensor and real-time log data to deliver practical, field-ready solutions.

Employment

1. 2024 —
   The Chair of Department

   Department of Industrial Engineering, UNIST
2. 2020 —
   Associate Professor

   UNIST
3. 2016 — 2020
   Assistant Professor

   UNIST
4. 2014 — 2016
   Senior Engineer

   Samsung SDS
5. 2011 — 2013
   Consultant

   Terra Technology

Education

1. 2011
   Ph.D., Industrial & Systems Engineering

   Georgia Institute of Technology
2. 2007
   M.S., Statistics

   Georgia Institute of Technology
3. 2007
   M.S., Industrial & Systems Engineering

   Georgia Institute of Technology
4. 2005
   B.Sc., Industrial Engineering

   Yonsei University

Patents

• Kim, Sungil (primary inventor), Method of anomaly detection of vessels applying Bayesian bootstrap. (10-2534357, granted May 16, 2023)
• Kim, Sungil (primary inventor), Sensor drift compensation method and device. (10-2364019, granted February 14, 2022)
• Kim, Sungil (primary inventor), Method and apparatus for determining delay possibility of shipment. (10-2250354, granted May 4, 2021)

Teaching — UNIST

1. 2024 —
   IE552/AI603: Neural Differential Equations

   (Fall, 2024)
2. 2017 — 2024
   IE 362/MGE 362: Statistical Quality Management

   (Spring, 2017–2024)
3. 2023
   IE 313: Time Series Analysis

   (Fall, 2023)
4. 2021 — 2022
   IE 509/AI 533: Advanced Quality Control

   (Fall, 2021–2022)
5. 2022
   AI 590: AI Graduate Seminar

   (Spring, 2022)
6. 2022
   AI 501: Introduction to AI

   (Spring, 2022)
7. 2021
   IE 471: Special Topic (Project Lab)

   (Fall, 2021)
8. 2020
   MGT 101: Entrepreneurship & Big Data

   (Fall, 2020)
9. 2018 — 2020
   IE 502/MGE 502: Statistical Programming

   (Fall, 2018–2020)
10. 2018
    TIM 713: Industrial Innovation Seminar

    (Fall, 2018)
11. 2017 — 2019
    MGE 509: Advanced Quality Control

    (Fall, 2017–2019)
12. 2016 — 2017
    MGE 301: Operations Research I

    (Fall, 2016–2017)
13. 2016
    MGT 209: Operations Management

    (Fall, 2016)

Research Publications

• YongKyung Oh, Dongyoung Lim, and Sungil Kim (2024), Stable neural stochastic differential equations for irregular time series classification, ICLR (spotlight).
• Jonghwan Mun, Jitae Yoo, Heesun Kim, Nayi Ryu, and Sungil Kim (2024), Domain knowledge-informed
• Sungil Kim (2021), Maximum feasibility estimation, Information Sciences, 575, pp 739-801.
• Sungil Kim (2019), Revealing household characteristics using connected home products, Information Sciences, 486, pp 52-61.
• Sungil Kim and Heeyoung Kim (2016), A new metric of absolute percentage error for intermittent demand forecasts, International Journal of Forecasting, 32(3), pp 669-679.

Awards · Honors · Memberships

• Area editor in Statistics, Quality, Reliability & Maintenance, Computers & Industrial Engineering
• Senior Member, INFORMS
• 2023 Excellence in Mentoring Award, College of Information and Biotechnology, UNIST
• 2021 IISE Best Paper Award, Logistics and Supply Chain Division, The Institute of Industrial and Systems Engineers
• 2019 IISE Best Paper Award, Quality Control & Reliability Engineering Division, The Institute of Industrial and Systems Engineers