đź‘‹ Hi, I'm Dongkun Lee
AI Researcher passionate about Explainable AI, XR Simulation, and Multimodal Learning.
I build intelligent systems that make the complex world understandable.
- Publications: 20+ peer-reviewed papers
- Total Citations: 500+
- Projects: 6+ AI-driven projects
I specialize in building intelligent systems for detecting anomalies, enhancing XR simulations, and generating creative content through AI.
My research bridges AI, immersive environments, and generative models to tackle real-world challenges in autonomous driving, industrial safety, and education.
Let’s create meaningful, innovative solutions together! 🤝
Jan 1, 2023
Jan 1, 2022
Jan 1, 2020
Jan 1, 2018
Jan 1, 2018
An ongoing end‑to‑end deep‑learning platform that automatically detects ocular diseases from fundus images and generates concise, patient‑friendly medical explanations.
Apr 17, 2025
Development of an explainable anomaly detection framework for road environments using pixel-level uncertainty and risk mapping.
Dec 11, 2024
A contactless English learning platform using AI-driven 3D avatars.
Jun 8, 2022
Explainable AI-based system for detecting and explaining anomalies in power systems.
Apr 15, 2021
Development of an AI-powered XR-based counter-terrorism training simulator.
Apr 1, 2021
Experience
Project Lead (Student)
AILA (AI Language Assistant)- Led development of a non-contact English conversation learning platform with 3D avatars, integrating Unity and chatbot systems.
- Oversaw Unity–chatbot integration and created a personalized 3D avatar chatbot environment.
Visiting Researcher
KU-Center for Cyber-Physical Systems- Focused on generative model-based industrial anomaly detection in safety-critical infrastructures.
- Utilized XAI methods to improve transparency and reliability in deep learning pipelines.
Vice-chair & Contestant
ACM-ICPC Club (Gori), Kyungpook National University- Led competitive programming training and organized internal contests.
- Participated in the ACM-ICPC Daejeon Regional 2013.
Research Intern
Qtec- Assisted in developing an embedded location control system and researched voice call systems.
- Contributed to an embedded system application for location-based services.
Education
Ph.D. in Computer Science
KAISTGPA: 3.82
Focused on Explainable AI for real-world applications such as smart energy systems, education, and safety.
Worked on anomaly detection, risk assessment, and XR simulation projects.M.S. in Computer Science
KAISTGPA: 3.85
Developed Korean language understanding models and semantic similarity techniques through deep learning.B.S. in Computer Science
Kyungpook National UniversityGPA: 4.06
Focused on computer graphics and game development with a graduation project involving interactive game design and optimization.
Always open to exciting research collaborations, innovative projects, and consulting opportunities.
Contact: babba82200@gmail.com
Full CV: Download PDF