DongGeon Lee 

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)
    • • Expected Matriculation: February 16, 2024
      • Expected Advisor: Prof. Hwanjo Yu

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)

• 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

• • "System for providing parking information and control method", KR-Application No. 10-2021-0178090, South Korea, December 2021

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 

• • Contribution to Transformers Library, Hugging Face (November 2023)
    • • Improve PyTorch examples of uses of Hugging Face Transformers for better readability

• • 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

• • Algorithms 1, 2. POSTECH STAR-MOOC (Issued September, October 2023.)
  • Deep learning Course (Advanced), Inha Innovation Sharing University for Future Vehicle Technology (Issued January 2023)
  • Building Transformer-Based Natural Language Processing Applications, NVIDIA Deep Learning Institute (Issued August 2022)
  • Fundamentals of Deep Learning, NVIDIA Deep Learning Institute (Issued August 2022)
  • Amazon Web Services (AWS) Machine Learning Course, Inha Innovation Sharing University for Future Vehicle Technology, (Issued February 2022)
  • Understanding Deep Learning, Hancom Academy (Issued February 2022)

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

• • English
    • • Obtained an IH (Intermediate High) OPIc grade; proficient communication on diverse subjects, in August 2023
      • Obtained a 805 TOEIC score; advanced working proficiency, in February 2023