Smart Data Lab

From Problem Definition to Real-World Impact

Beyond theoretical model refinement, we precisely define real-world problems and apply AI rationally to each domain to create practical valuethrough applied research.

Our Research Areas Meet the Team

AI4Research Workshop 참석

EventMay 15, 2026

대학원 컴퓨터공학과 오픈랩 참가

Featured Publications

View All Publications

International Conference2025

Optimizing PROTAC Design: A Novel Approach Using Exposure Scores for Linker Site Selection

Yeonju Jeong, Jae-Mun Choi, Young-Kuk Kim — IEEE BigComp 2025 / International Conference on Big Data and Smart Computing

International Journal2024

Absorption Distribution Metabolism Excretion and Toxicity Property Prediction Utilizing a Pre-Trained Natural Language Processing Model and Its Applications in Early-Stage Drug Development

Woojin Jung, Sungwoo Goo, Taewook Hwang, Hyunjung Lee, Young-Kuk Kim, Jung-woo Chae, Hwi-yeol Yun, Sangkeun Jung — Pharmaceuticals

International Journal2024

Closha 2.0: A Bio-Workflow Design System for Massive Genome Data Analysis on High Performance Cluster Infrastructure

Gunhwan Ko, Pan-Gyu Kim, Byung-Ha Yoon, JaeHee Kim, Wangho Song, Iksu Byeon, Jongcheol Yoon, Byungwook Lee, Young-Kuk Kim — BMC Bioinformatics

International Journal2022

MSENet: Marbling Score Estimation Network for Automated Assessment of Korean Beef

Hyo-Jun Lee, Yeong Jun Koh, Young-Kuk Kim, Seung Hwan Lee, Jun Heon Lee, Dong Won Seo — Meat Science

International Journal2022

Use of a Graph Neural Network to the Weighted Gene Co-Expression Network Analysis of Korean Native Cattle

Hyo-Jun Lee, Yoonji Chung, Ki Yong Chung, Young-Kuk Kim, Jun Heon Lee, Yeong Jun Koh, Seung Hwan Lee — Scientific Reports

International Journal2021

Deep Learning-Based Context-Aware Recommender System Considering Contextual Features

Soo-Yeon Jeong, Young-Kuk Kim — Applied Sciences

Smart Data Lab

From Problem Definition to Real-World Impact

Beyond theoretical model refinement, we precisely define real-world problems and apply AI rationally to each domain to create practical valuethrough applied research.

Our Research Areas Meet the Team

AI4Research Workshop 참석

EventMay 15, 2026

대학원 컴퓨터공학과 오픈랩 참가

Featured Publications

View All Publications

International Conference2025

Optimizing PROTAC Design: A Novel Approach Using Exposure Scores for Linker Site Selection

Yeonju Jeong, Jae-Mun Choi, Young-Kuk Kim — IEEE BigComp 2025 / International Conference on Big Data and Smart Computing

International Journal2024

Absorption Distribution Metabolism Excretion and Toxicity Property Prediction Utilizing a Pre-Trained Natural Language Processing Model and Its Applications in Early-Stage Drug Development

Woojin Jung, Sungwoo Goo, Taewook Hwang, Hyunjung Lee, Young-Kuk Kim, Jung-woo Chae, Hwi-yeol Yun, Sangkeun Jung — Pharmaceuticals

International Journal2024

Smart Data Lab

From Problem Definition to Real-World Impact

Latest News

AI4Research Workshop 참석

대학원 컴퓨터공학과 오픈랩 참가

Featured Publications

Optimizing PROTAC Design: A Novel Approach Using Exposure Scores for Linker Site Selection

Absorption Distribution Metabolism Excretion and Toxicity Property Prediction Utilizing a Pre-Trained Natural Language Processing Model and Its Applications in Early-Stage Drug Development

Closha 2.0: A Bio-Workflow Design System for Massive Genome Data Analysis on High Performance Cluster Infrastructure

MSENet: Marbling Score Estimation Network for Automated Assessment of Korean Beef

Use of a Graph Neural Network to the Weighted Gene Co-Expression Network Analysis of Korean Native Cattle

Deep Learning-Based Context-Aware Recommender System Considering Contextual Features

Smart Data Lab

From Problem Definition to Real-World Impact

Latest News

AI4Research Workshop 참석

대학원 컴퓨터공학과 오픈랩 참가

Featured Publications

Optimizing PROTAC Design: A Novel Approach Using Exposure Scores for Linker Site Selection

Absorption Distribution Metabolism Excretion and Toxicity Property Prediction Utilizing a Pre-Trained Natural Language Processing Model and Its Applications in Early-Stage Drug Development

Closha 2.0: A Bio-Workflow Design System for Massive Genome Data Analysis on High Performance Cluster Infrastructure

MSENet: Marbling Score Estimation Network for Automated Assessment of Korean Beef

Use of a Graph Neural Network to the Weighted Gene Co-Expression Network Analysis of Korean Native Cattle

Deep Learning-Based Context-Aware Recommender System Considering Contextual Features