Lab News

Heeyoon Lee (이희윤) and Sieun Lee (이시은) joined the Data Analytics Lab as M.S. students. Welcome aboard!

Yongkyung Oh, Seungsu Kam, Dongyoung Lim, and Sungil Kim, Modeling Irregular Astronomical Time Series with Neural Stochastic Delay Differential Equations, accepted to CIKM 2025 (Short Paper).

Taewon Kang successfully passed the M.S. thesis defense in Industrial Engineering at UNIST.

Participated in the Korean Institute of Industrial Engineers (KIIE) 2025 Spring Joint Conference, held from June 18–21.

Participated in the Institute of Industrial and Systems Engineers (IISE) 2025 Conference, held from June 3–6.

Yongkyung Oh, Seungsu Kam, Jonghun Lee, Dongyoung Lim, Sungil Kim, and Alex A.T. Bui, Comprehensive Review of Neural Differential Equations for Time Series Analysis, accepted to IJCAI 2025.

Yong Kyung Oh, Giheon Koh, Jiin Kwak, Kyubo Shin, Gi Soo Kim, Min Joung Lee, Hokyung Choung, Namju Kim, Jae Hoon Moon, and Sungil Kim, TAOD-Net: Automated Detection and Analysis of Thyroid-Associated Orbitopathy in Facial Imagery, accepted to Computers & Industrial Engineering (2025).

The project led by Prof. Sungil Kim (UNIST, Industrial Engineering) was selected for funding under the National Research Foundation of Korea (NRF) Mid-career Researcher Program.

YongKyung Oh, Dong-Young Lim, and Sungil Kim, DualDynamics: Synergizing Implicit and Explicit Methods for Robust Irregular Time Series Analysis, accepted to AAAI 2024.

Jaehoon Cho successfully passed the M.S. thesis defense in Industrial Engineering at UNIST.

Seungsu Kam (UNIST, Industrial Engineering) presented our recent work on neural differential equations for astronomical time series analysis at AI Summit 2024.

YongKyung Oh, Dong-Young Lim, and Sungil Kim, DualDynamics: Synergizing Implicit and Explicit Methods for Robust Irregular Time Series Analysis, accepted to AI Summit 2024.

Sieun Lee and Heeyoon Lee joined the lab as research interns.

Participated in the Korean Institute of Industrial Engineers (KIIE) Fall Conference 2024.

Prof. Sungil Kim was appointed as the Department Chair of Industrial Engineering at UNIST.

Seungsu Kam successfully passed the Ph.D. qualification exam in Industrial Engineering at UNIST.

Prof. Sungil Kim received the 2023 Faculty Award at UNIST.

Byungkuk Gu successfully passed the M.S. thesis defense in Industrial Engineering at UNIST.

Attended and presented research at the Korean Data Mining Society (KDM) Conference 2024.

Participated in the IISE (Institute of Industrial and Systems Engineers) Annual Conference 2024.

YongKyung Oh and Sungil Kim (2024), Multi-modal Lifelog Data Fusion for Improved Human Activity Recognition: A Hybrid Approach, accepted to Information Fusion.

Attended and presented research at the Korean Institute of Industrial Engineers (KIIE) Spring Conference 2024.

Jong Hwan Mun, Jitae Yoo, Heesun Kim, Nayi Ryu, and Sungil Kim (2024), Domain-Knowledge-Informed Functional Outlier Detection for Line Quality Control Systems, accepted to Computers & Industrial Engineering.

YongKyung Oh, Dongyoung Lim, and Sungil Kim (2024), Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data, accepted to ICLR 2024 Spotlight (Top 5%).

Dr. Yong Kyung Oh received the Best Paper Award at the Korea Computer Congress (KCC) 2023, hosted by the Korea Information Science Society.

Attended and presented research at the IISE (Institute of Industrial and Systems Engineers) Annual Meeting 2023.