Research Interests

    • Natural Language Processing
    • 한글 (Korean Language) Processing
    • Deep Learning
    • Large Language Model (LLM)
    • Learning from Limited Data
    • Domain-specific Knowledge Distillation 
    • Applied Artificial Intelligence

Education

    • B.S. in Information and Communication Engineering, Inha University (March 2018 ~ February 2024)
        • GPA: 3.77 / 4.5 (Major GPA: 3.89 / 4.5)
        • Scholarships
            • Received a research scholarship for undergraduate researchers. (Spring 2023)
            • Received a work scholarship from the Inha University Research and Business Foundation. (Spring ~ Summer 2022)
            • Received on-campus extracurricular activities scholarships (Fall 2021 Fall 2022) 
        • Teaching Assistant Experiences
            • ICE2004: Data Structure (Fall 2023)
            • ICE4016: Database Capstone Design (Fall 2023)
            • ICE1005: Introduction to AI Programming (Spring 2023)
            • ICE3020: Algorithm Capstone Design (Spring 2023)

    • (EXPECTED) M.S. in Artificial Intelligence, Pohang University of Science and Technology (POSTECH) (February 2024 ~ February 2026)

Experiences

    • Research Assistant @Data Intelligence Laboratory, Inha University (November 2022 ~ Present)
    • Research Assistant @Nursing Informatics Laboratory, College of Medicine, Inha University (August 2021 ~ June 2023)
    • Software Educator @Jamcoding (October 2021 ~ May 2023)
        • Teaching programming classes (Data Analysis, Python∙C Algorithms, etc.)

Paper (Conferences)

† : corresponding author, * : equal contributions
  • Insook Cho†, EunJu Lee, Dong-geon Lee, "Effects of Language Differences on Inpatient Fall Detection Using Deep Learning", MedInfo 2023: The 19th World Congress on Medical and Health Informatics, Sydney, Australia, July 2023.  (Poster)
  • Dong-geon Lee, EunJu Lee, Insook Cho†, "Bridging the Reporting Gap of Inpatient Falls to Improve Safety Practices Using Deep-Learning-Based Language Models and Multisite Data", AMIA 2023 Clinical Informatics Conference, Chicago, United States, May 2023.  (Peer Reviewed, Oral Presentation)
  • Changhun Koo*, Yoonjoo Jung*, Dong-geon Lee*†, "Through deep learning-based video processing, Design and implementation of Smart Port Parking Information System", Annual Conference of KIPS 2021, Yeosu, Korea, November 2021. (Oral Presentation)

Patent


Projects

    • 데이터 처리 기술 및 데이터 기반 위험산정 알고리즘 기술 개발, Korea Agency for Infrastructure Technology Advancement (국토교통과학기술진흥원) (March 2023 ~ Present)
        • (Ongoing) Development of accident cause extraction model using Sentence-BERT 


    • 임상 빅데이터와 행동경제학 이론을 적용한 다면적 낙상예방 중재 개발과 다기관 효과 탐색 (NRF-2019R1A2C2007583), Ministry of Science and ICT (과학기술정보통신부) (January 2022 ~ June 2023)
        • Development of deep learning-based fall statement detection model
        • Development of NER model for automatic fall report generation
        • Network analysis for drug prescription patterns

    • CDM 기반의 지능형 진료 가이드 알고리즘 개발과 확산을 위한 CDSS 플랫폼 개발, Ministry of Trade, Industry and Energy (산업통상자원부) (August 2021 ~ December 2021)
        • Pre-processing Korean data using KoNLPy
        • Topic-modeling for insightful medical data analysis

    • 스마트 항만 교통관제 시스템 (사람-항만-선박-컨테이너), Ministry of Oceans and Fisheries (해양수산부) (April 2021 ~ November 2021)
        • Development of a deep learning-based system for real-time detection of parking conditions
        • Development of a real-time lane recognition algorithm through image processing

Certifications


Technical Skills

    • Programming Languages
        • Python, C++, C, JavaScript, HTML/CSS
    • Frameworks and Libraries
        • PyTorch, Keras, TensorFlow, KoNLPy, OpenCV
    • Systems and Tools
        • Git, Linux, MySQL, AWS, Arduino, LaTeX

Language Skills