Data and Business Intelligence Lab.

Welcome to the DBI Laboratory!

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Research Areas

  • Artificial Intelligence (AI) Applications
  • 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.

  • Core AI Technology
  • 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.

  • Other Related Works (Technology Adoption, Digital Policy, Green Finance, Etc.)
  • 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.

  • Research Objectives in Common
  • 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.

Research Venn Diagram


Publications

Selected Publications


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

Professor
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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

Lab Coordinator
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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

Students

Ph.D. / Integrated Ph.D. Program

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Jin Sung Park (박진성)

Research Focus:

Email:

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Yoona Chung (정윤아)

Research Focus:

Email:

Master's Program

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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

  • "Preliminary research on driving advisory systems and technology analysis" (Contract in Progress).
  • "Technology transfer for method and system for secure money transfer authentication based on question answering" (Contract in Progress).
  • "Development and validation of a novel universal artificial intelligence algorithm leveraging lung bronchial fractal structures and respiratory physiological functions" (Submitted to NRF).

    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.