Data and Business Intelligence Lab.
Welcome to the DBI Laboratory!
Research Areas
- Artificial Intelligence (AI) Applications
- Core AI Technology
- Other Related Works (Technology Adoption, Digital Policy, Green Finance, Etc.)
- Research Objectives in Common
Our objective is to solve specific industrial and business problems through the application of AI. We utilize prediction modeling and quantitative big data analytics to achieve these goals.
We focus on developing solutions for different types of datasets (e.g. tabular, text, image, etc.). This involves algorithm development and architecture modification to improve performance and applicability.
Our goal is to extract industrial and business implications through comprehensive studies, including data analytics, user surveys, interviews, and case studies. These efforts help inform governmental policy and business strategies.
Our common research objective is to find solutions and derive implications for various business problems through methodical research and analysis.
Research Application Fields
- Field by Field, Cross-Pollinate If Feasible
We focus sophisticated business challenges within the Finance, Healthcare, and Network/Security sectors, while also addressing complex interdisciplinary problems that arise at the intersection of these industries.
Publications
Selected Publications
- "Green Total Factor Productivity and Its Nonlinear Relationship With Coordinated FDI Development: Evidence From Panel Models" (with Lihong Fan, Bisharat H. Chang), Natural Resource Modeling, Vol.38, No.1, 2025 – SCI
- "Augmented ELBO regularization for enhanced clustering in variational autoencoders" (with Kwangtek Na, Ju-Hong Lee), Neurocomputing, Vol.614, 2025 – SCI
- "SICGNN: Structurally informed convolutional graph neural networks for protein classification" (with YongHyun Lee, Jiwoong Choi, Changhyun Lee), Machine Learning: Science and Technology, 2025 - SCI
- "Method and System for Authenticating Transfer based on Questioning" (Sole Author), 2024 - KR Patent (Registered)
- "Data-Driven Stroke Classification Utilizing Electromyographic Muscle Features and Machine Learning Techniques" (with Jaehyuk Lee, Youngjun Kim), Applied Sciences-Basel, Vol.14, No.18, 2024 – SCI
- "Climate policy uncertainty and its impact on energy demand: An empirical evidence using the Fourier augmented ARDL model" (with Zhe Tu, Bisharat H. Chang, Raheel Gohar), Economic Analysis and Policy, Vol.84, 2024, pp.374-390 – SSCI
- "Deep Learning-based Delinquent Taxpayer Prediction: A Scientific Administrative Approach" (with YongHyun Lee), KSII Transactions on Internet and Information Systems, Vol.18, No.1, 2024, pp.30-45 – SCI
- "LF-Transformer: Latent Factorizer Transformer for Tabular Learning" (with Kwangteak Na, Ju-Hong Lee), IEEE Access, Vol.12, 2024, pp.10690-10698 – SCI
- "Identifying Hidden Factors Associated with Household Emergency Fund Holdings: A Machine Learning Application" (with Wookjae Heo, Eun Jin Kwak, John Grable), Mathematics, Vol.12, No.2, 2024 – SCI
- "Machine Learning-based Prediction of Relative Regional Air Volume Change" (with YongHyun Lee, Byungjoon Yoo, Jiwoong Choi, Kum Ju Chae, Changhyun Lee), KSII Transactions on Internet and Information Systems, Vol.17, No.2, 2023, pp.576-590 – SCI
- "Factors Affecting the Adoption Intention of New Electronic Authentication Services: A Convergent Model Approach of VAM, PMT, and TPB" (with Yeunwoong Kyung), IEEE Access, Vol.11, 2023, pp.13859-13876 – SCI
- "TinyML-based Classification in ECG Monitoring Embedded System" (with Jaehyuk Kim, Yeunwoong Kyung, Juyoung Park), CMC-Computers, Materials & Continua, Vol.75, No.1, 2023, pp.1751-1764 – SCI
- "ALBERT with Knowledge Graph Encoder Utilizing Semantic Similarity for Commonsense Question Answering" (with Byeongmin Choi, YongHyun Lee, Yeunwoong Kyung), Intelligent Automation & Soft Computing, Vol.36, No.1, 2023, pp. 71-82 – SCI
- "A Case Study of Digital Transformation : Focusing on the Financial Sector in South Korea and Overseas" (with Minjae Kim, Yeunwoong Kyung), Asia Pacific Journal of Information Systems, Vol.32, No.3, 2022, pp.537-563 – Scopus
- "The Association Between SOC and Land Prices Considering Spatial Heterogeneity Based on Finite Mixture Modeling" (with Wooseok Kang, Wookjae Heo), The Korea Spatial Planning Review, Vol.114, 2022, pp.53-78 – KCI
- "SHOMY: Detection of Small Hazardous Objects using the You Only Look Once Algorithm" (with Jinyoung Lee, Hyunjik Jo, Kwangtek Na, Eunsook Moon, Gahgene Gweon, Byungjoon Yoo), KSII Transactions on Internet and Information Systems, Vol.16, No.8, 2022, pp.2688-2703 – SCI
- "Opportunistic Offloading Scheme for Content Delivery Service using Electro-Mobility Networks" (with Yeunwoong Kyung), IET Intelligent Transport Systems, 2022 – SCI
- "System and Method for Providing Loan Service based on the Value in Use" (with Jongmoon Yoon, Hyochan Lee), 2021 - KR Patent (Registered)
- "The Details and Outlook of Three Data Acts Amendment in South Korea: With a Focus on the Changes of Domestic Financial and Data Industry" (with Eunyoung Kim, Hyochan Lee, Byungjoon Yoo), Informatization Policy, Vol.28, No.3, 2021, pp.49-72 – KCI
- "A Securities Company’s Customer Churn Prediction Model and Causal Inference with SHAP Value" (with Kwangtek Na, Jinyoung Lee, Hyochan Lee), The Journal of Bigdata, Vol.5, No.2, 2020, pp.215-299 – KCI
Work-in-Progress
- "Understanding the Adoption Intention of Financial Data Retrieval Services: An Empirical Analysis of My Data" (Accepted) - SCI
- "Precision Forecasting in Colorectal Oncology: Predicting Six-Month Survival to Optimize Clinical Decisions" (In Review) - SCI
- "Primary Determinants and Strategic Implications for Customer Loyalty in Pet-Related Vertical E-Commerce" (In Review) - SSCI
- "QuantFake: Quantum CNN based multimodal approach for fake news detection" (In Review) - SCI
- "A Resource-Efficient Hybrid Classification Framework for Ulcerative Colitis Severity Prediction in Endoscopic Image Data" (In Review) - SCI
Lab Members
Eunchan Kim, Ph.D. (김은찬)
Assistant Professor (Tenure Track)
Data and Business Intelligence Lab
Department of Information Systems
Department of Data Science (J.A.)
Hanyang University
Email: eckim@hanyang.ac.kr
Jaehyuk Lee, Ph.D. (이재혁)
Visiting Scholar
Data and Business Intelligence Lab
Department of Information Systems
Hanyang University
Research Professor
Industry-University Cooperation Foundation
Kongju National University
Email: jhl9405@kongju.ac.kr
Ph.D. / Integrated Ph.D. Program
Jin Sung Park (박진성)
Research Focus:
Email:
Yoona Chung (정윤아)
Research Focus:
Email:
Master's Program
Jungmin Hong (홍정민)
Research Focus:
Email:
Projects
Current
- "Intelligent systems and information technology-based convergence research for solving detailed business problems within heterogeneous industries" (Supported by Hanyang University), 2024 - 2025.
- "Proposal for an AI-based exercise prescription framework to optimize healthcare services" (Supported by Hanyang University), 2024 - 2025.
Past (Selected)
- "Development of personal information protection technology using anonymization techniques in a big data environment" (Supported by MSIT), 2017 - 2018.
- "Assessment of regional lung function and particle inhalation characteristics during inhaler use in patients with COPD and asthma using quantitative CT and computational fluid dynamics" (Supported by MSIT), 2021 - 2024.
Work-in-Progress
Courses
@Hanyang University
- ERP Systems (Undergraduate), Spring 2025
- Business Intelligence and AI Implementation (Undergraduate), Spring 2025
- Career Development (Undergraduate), Spring 2025
- Systems Design (Graduate), Spring 2025
- Organization Theory (Undergraduate), Fall 2024
- Information Systems Analysis (Graduate), Fall 2024
@Seoul National University
- Information Systems (Undergraduate), Fall 2023
- Information Systems (Undergraduate), Spring 2024
News
Timeline
2024
- December 2024, Received and Started a Research Project (HY-202400000003726).
- November 2024, Signed a Memorandum of Understanding with Toss Bank.
- September 2024, Research Professor Jaehyuk Lee has joined our Lab.
- September 2024, Received and Started a Research Project (HY-202400000003279).
- September 2024, Data and Business Intelligence Laboratory has opened.