👋 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
Development of a multimodal benchmark dataset for evaluating safety risks in generative AI outputs.
Dec 30, 2024
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: hagg30@kaist.ac.kr
Full CV: Download PDF