Professor

Associate Professor, Division of Social Science & AI

Hankuk University of Foreign Studies

CEO and Founder

AI Korea Inc.

• Resumed as CEO in Feb. 2026 (present).

Associate/Assistant Professor, Department of Business Administration

Tech University of Korea

• Director, SW Education Center, Sep. 2022 – July. 2024
• Chief Professor, Venture Entrepreneurship Integration Major, Nov. 2019 - Sep. 2022
• Chief Professor, Smart Factory Integration Major, Sep. 2018 - Aug. 2019

Associate Research Fellow (부연구위원), Big Data Research Team

Korea Environment Institute

Member, Pre-Review Committee for Draft Government Plans under the Korean SDGs (K-SDGs)

National Sustainable Development Research Center (Korea Environment Institute)

Chair, AI and Digital Committee

Korea Environmental Policy and Administration Society (KEPAS)

Vice Chair, Special Committee on Energy Industry and Technology Policy

Korea Society for Innovation Management & Economics (KOSIME)

Editorial Board Member

International Telecommunications Policy Review (KCI)

Editorial Review Board Member

Journal of Innovation & Knowledge

Committee Member, Central Environmental Policy Committee, Environmental Economics Division

Ministry of Environment

Ph.D. in Engineering

Korea Advanced Institute of Science and Technology (KAIST), College of Business

Graduate School of Technology and Innovation Management

• Dissertation: Essays on big data analytics in industrial research: Green energy policy and patent litigation.
• Advisor: Prof. Minki Kim

Master of Engineering

Korea Advanced Institute of Science and Technology (KAIST), College of Business

Graduate School of Technology and Innovation Management

Bachelor of Engineering

Korea Advanced Institute of Science and Technology (KAIST)

Information and Communication Engineering

• IT Business minor

Outstanding Abstract Award (우수초록상), 2026 Fall Conference of the Korean Society for Zoonoses

Korean Society for Zoonoses

H. Jeon and D. Lee (corresponding author), “Forecasting country-level outbreaks of highly pathogenic avian influenza from international notification data.”

Environmental Data Analysis Contest, Development of Multimodal LLM Interactive AI Specialized in Environmental Research, President’s Award of the Korea Environment Institute

Korea Environment Institute

Outstanding Researcher Award (Excellence in Academic Paper Category) with the President's Commendation

Tech University of Korea

Presidential Award for the Korea Young Talent Award

President of South Korea

Heterogeneous transfer learning for robust infectious disease forecasting: A data-centric approach

Expert Systems with Applications, 332, 133728

D. Lee* (2026).

Uncovering reliability blind spots in transportation AI: An edge-case-based validation approach for transportation systems

Scientific Reports, in press (published online Aug. 1, 2026)

J. Y. Kim, D. Lee* (2026).

How Can We Improve the Consumer Acceptance Level for Disposers Considering Regional Characteristics?

Water, 17(4), 493

S. Park, J. Ryu, D. Lee, J. Shin (2025).

Enhancing Small-Business Ecosystems Through Local Currency Designs in South Korea: A Choice Experiment Approach

Systems, 13(5), 339

M. Oh, G. Lee, D. Lee, J. Ahn, J. Shin (2025).

Reinforced explainable AI for algal bloom forecasting under climate change: A multi-run class activation mapping (CAM) approach

Journal of Cleaner Production, 529, 146805

D. Lee*, H. Jeon (2025).

Building reliable AI for quantifying uncertainty in particulate matter predictions with deep learning

Journal of Cleaner Production, 473, 143457

D. Lee*, B. Lee (2024).

Why Uncertainty in Deep Learning for Traffic Flow Prediction Is Needed

Sustainability, 15(23), 16204

M. Kim, D. Lee* (2023).

Use of artificial intelligence for predicting infectious disease (Book Chapter)

In P. Keikhosrokiani (Ed.), Big Data Analytics for Healthcare, Elsevier

S. Kang, D. Lee* (2022). pp. 153–163. ISBN: 978-0-323-91907-4.

Integrated explainable deep learning prediction of harmful algal blooms

Technological Forecasting and Social Change, 185, 122046

D. Lee*, M. Kim, B. Lee, S. Chae, S. Kwon, S. Kang (2022).

PM10 and PM2.5 real-time prediction models using an interpolated convolutional neural network

Scientific Reports, 11(1), 11952

S. Chae, J. Shin, S. Kwon, S. Lee, S. Kang, D. Lee* (2021).

Complex System Analysis of Korean Peninsula Earthquake Data

Scientific Reports, 10(1), 2686

S. Chae, S. Jang, S. Lee, D. Lee* (2020).

Exploring the dynamic knowledge structure of studies on the Internet of things: Keyword analysis

ETRI Journal, 40(6), 745-758

Y. Yoon, H. Zo, M. Choi, D. Lee, H. Lee (2018).

Improved Prediction of Harmful Algal Blooms in Four Major South Korea's Rivers Using Deep Learning Models

International Journal of Environmental Research and Public Health, 15(7), 1322

S. Lee, D. Lee* (2018).

Predicting Infectious Disease Using Deep Learning and Big Data

International Journal of Environmental Research and Public Health, 15(8), 1596

S. Chae, S. Kwon, D. Lee* (2018).

Analysing the failure factors of eco-friendly home appliances based on a user-centered approach

Business Strategy and the Environment, 27(8), 1399-1408

J. Shin, S. Kang, D. Lee*, B. Hong (2018).

Inter-fuel substitution path analysis of the Korea cement industry

Renewable and Sustainable Energy Reviews, 82, 4091-4099

S. Huh, H. Lee, J. Shin, D. Lee, J. Jang (2018).

Scale-free network analysis of big data for patent litigation cases in the United States

Journal of the Korean Physical Society, 70(4), 431-435

D. Lee, J. Kim, J. Shin (2017).

Determinants of Pro-Environmental Consumption: Multicountry Comparison Based upon Big Data Search

Sustainability, 9(2), 183

D. Lee, S. Kang, J. Shin (2017).

Using Deep Learning Techniques to Forecast Environmental Consumption Level

Sustainability, 9(10), 1894

D. Lee, S. Kang, J. Shin (2017).

Examining the Relationship Between Past Orientation and US Suicide Rates: An Analysis Using Big Data-Driven Google Search Queries

Journal of Medical Internet Research, 18(2), e35

D. Lee, H. Lee, M. Choi (2016).

Adoption of green electricity policies: Investigating the role of environmental attitudes via big data-driven search-queries

Energy Policy, 90, 187-201

D. Lee, M. Kim, J. Lee (2016).

Ultra-Fast Physics-AI Hybrid Disaster Response Based on MambaFlow Matching (Principal Investigator)

Funded by IITP (Institute of Information & Communications Technology Planning & Evaluation).

Physics-AI Integrated Dynamic Graph Meta-Learning for Algal Bloom Prediction (Principal Investigator)

Funded by National Research Foundation of Korea (NRF).

Wild Bird Avian Influenza Spread Prediction Research(III) (Co-Investigator)

Funded by National Institute of Wildlife Disease Control and Prevention (NIWDCP).

Wild Bird Avian Influenza Spread Prediction Research(II) (Principal Investigator)

Funded by National Institute of Wildlife Disease Control and Prevention (NIWDCP).

Simulation of Infectious Disease Prediction Using Transfer Learning Deep Learning (Principal Investigator)

Funded by National Research Foundation of Korea (NRF).

Development of Advanced Algal Bloom Prediction Model Using Explainable AI (Principal Investigator)

Funded by Tech University of Korea (1st Place in Tech University of Korea Research Competition).

Utilizing Big Data and Large Language Models for Analyzing Trends and Demand in the Industrial Workforce Market (Principal Investigator)

Funded by Office of Strategic R&D Planning.

Wild Bird Avian Influenza Spread Prediction Research (Principal Investigator)

Funded by National Institute of Wildlife Disease Control and Prevention (NIWDCP).

Development of Performance Indicators and Management System for LAMP Project (Co-Investigator)

Funded by National Research Foundation of Korea (NRF).

Development of Machine Learning-Based Performance Prediction Model for Seawater Desalination Plants (Principal Investigator)

Funded by Kookmin University.

Development of Machine Learning-Based Prediction Model for Water Quality and Energy Consumption in Sewage Treatment Plants (Principal Investigator)

Funded by Kookmin University.

Test Data Analysis for Remaining Life Measurement of Electric Vehicle Lithium-Ion Batteries (Principal Investigator)

Funded by Korea Testing Laboratory (KTL).

Construction of Automated Data Pipeline for Algal Bloom Prediction Using Deep Learning for MLOps (Principal Investigator)

Funded by Korea Environment Institute.

Establishment of a Rapid Response System for Avian Influenza in Accordance with its Endemic Trends (Principal Investigator)

Funded by National Institute of Wildlife Disease Control and Prevention (NIWDCP).

Research on Application of Functional Safety Standards in the HVAC Industry Using AI Technology (Principal Investigator)

Funded by Korea Testing Laboratory (KTL).

Development of a New Fine Dust Prediction Module Based on Explainable Artificial Intelligence (Principal Investigator)

Funded by Korea Environment Institute.

Deep Learning-Based Prediction of Fine Dust Concentration and Uncertainty (Principal Investigator)

Funded by Korea Environment Institute.

Application of Deep Learning Technology in Environmental and Industrial Research (Principal Investigator)

Funded by National Research Foundation of Korea (NRF).

Deep Learning-Based Integrated Prediction of Environmental Pollution (Principal Investigator)

Funded by Korea Environment Institute.

Deep Learning-Based Traffic Prediction for Logistics Optimization (Principal Investigator)

Funded by Jeongseok Logistics Academic Foundation.

Quantitative Analysis of Factors Influencing Dropout Rates Based on Big Data (Principal Investigator)

Funded by Tech University of Korea.

Application of Deep Learning Technologies in Environmental and Industrial Research - Initial Innovation Laboratory (Principal Investigator)

Funded by National Research Foundation of Korea (NRF).

Fine Dust Prediction Using Convolutional Neural Networks (Principal Investigator)

Funded by Korea Environment Institute.

Natural Language Analysis and Advisory of Water Source Related Complaint Data (Principal Investigator)

Funded by Korea Environment Institute.

Predicting Epidemic Spread Using Deep Learning Analysis of Query Big Data (Principal Investigator)

Funded by National Research Foundation of Korea (NRF).

Analysis of Eco-Friendly Consumption Using Social Networking Services (SNS) (Principal Investigator)

Funded by Korea Environment Institute.

Application of Deep Learning Technology in Social Science Research (Principal Investigator)

Funded by Tech University of Korea.

Environmental Risk Prediction Using Deep Learning (Principal Investigator)

Funded by Korea Environment Institute.

Smart Factory Operation Design and Professional Personnel Training Project (Co-Investigator)

Funded by Korea Institute for Advancement of Technology (KIAT).

Support for Multidisciplinary Education Courses Led by Design (Co-Investigator)

Funded by Korea Institute of Design Promotion.

LINC+ Leading University for Innovation in the 4th Industrial Revolution (Co-Investigator)

Funded by National Research Foundation of Korea (NRF).