Professor

Vice Chair, Special Committee on Energy Industry and Technology Policy

Korea Society for Innovation Management & Economics (KOSIME)

Director (Board Member)

Korea Environmental Policy and Administration Society (KEPAS)

Editorial Board Member (Management Field)

International Telecommunications Policy Review (KCI Journal)

Associate Professor, Division of Social Science & AI

Hankuk University of Foreign Studies

Editorial Board Member

Journal of Innovation & Knowledge (SSCI, IF 14.0 / JCR Top 0.5%)

CEO and Founder

AI Korea Inc.

Committee Member

Committee from Ministry of Environment, Environmental Economics Division

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

Research Fellow, Big Data Research Team

Korea Environmental Institute

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

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). (SCIE, IF 9.4 / JCR Top 5.0%)

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. Kim, D. Lee* (2026). (SCIE, IF 4.9 / JCR Top 14.6%)

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). (SCIE, IF 3.5 / JCR Top 52.0%)

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). (SSCI, IF 3.8 / JCR Top 6.4%)

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). (SCIE, IF 10.7 / JCR Top 6.7%)

Building Reliable AI for Quantifying Uncertainty in Particulate Matter Predictions with Deep Learning

Journal of Cleaner Production, 473, 143457

D. Lee*, B. Lee (2024). (SCIE, IF 10.7 / JCR Top 6.7%)

Why Uncertainty in Deep Learning for Traffic Flow Prediction Is Needed

Sustainability, 15(23), 16204

M. Kim, D. Lee* (2023). (SSCI, IF 4.1 / JCR Top 34.4%)

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). ISBN: 9780323985161 (SCOPUS).

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). (SSCI, IF 13.5 / JCR Top 1.4%)

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). (SCIE, IF 4.9 / JCR Top 14.6%)

Complex System Analysis of Korean Peninsula Earthquake Data

Scientific Reports, 10(1), 2686

S. Chae, S. Jang, S. Lee, D. Lee* (2020). (SCIE, IF 4.9 / JCR Top 14.6%)

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). (SCIE, IF 2.0 / JCR Top 65.7%)

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). (SCIE/SSCI at time of publication; 2018 IF 2.468 / JCR Top 22.8%)

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). (SCIE/SSCI at time of publication; 2018 IF 2.468 / JCR Top 22.8%)

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). (SSCI, IF 13.2 / JCR Top 1.8%)

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). (SCIE, IF 18.0 / JCR Top 3.1%)

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). (SCIE, IF 1.0 / JCR Top 66.5%)

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

Sustainability, 9(2), 183

D. Lee, S. Kang, J. Shin (2017). (SSCI, IF 4.1 / JCR Top 34.4%)

Using Deep Learning Techniques to Forecast Environmental Consumption Level

Sustainability, 9(10), 1894

D. Lee, S. Kang, J. Shin (2017). (SSCI, IF 4.1 / JCR Top 34.4%)

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). (SCIE, IF 8.2 / JCR Top 3.9%)

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). (SSCI, IF 9.3 / JCR Top 1.8%)

Ultra-Fast Physics-AI Hybrid Disaster Response Based on MambaFlow Matching

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

Physics-AI Integrated Dynamic Graph Meta-Learning for Algal Bloom Prediction

Funded by Korea Research Foundation (NRF).

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

Funded by National Wildlife Disease Management Institute.

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

Funded by National Wildlife Disease Management Institute.

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

Funded by Korea Research Foundation.

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 Wildlife Disease Management Institute.

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

Funded by Korea Research Foundation.

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 Test Laboratory.

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 Wildlife Disease Management Institute.

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

Funded by Korea Test Laboratory.

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 Korea Research Foundation.

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 Korea Research Foundation.

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 Korea Research Foundation.

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 Industrial Technology Promotion Agency.

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

Funded by Korea Design Promotion Institute.

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

Funded by Korea Research Foundation.