Siwoo Kim

M.S. Student, Gachon University

ksw5830@gachon.ac.kr · GitHub

About

I am an M.S. student in the Department of AI & Software at Gachon University. My research interests include object detection, object segmentation, autonomous driving, and edge AI deployment.

Research Interests

Object Detection Object Segmentation Autonomous Driving Edge AI

Education

Gachon University

Mar. 2025 – Present

Department of AI & Software

M.S. Student · Seongnam, Korea

Inje University

Mar. 2019 – Feb. 2023

Department of Healthcare IT Engineering

B.S. in Medical Information Technology · Advisor: Daesung Kang

GPA: 3.74 / 4.5 · Gimhae, Korea

Research Experience

VIPLAB, Gachon University

Mar. 2025 – Present

M.S. Student

Department of Healthcare IT, Inje University

Sep. 2021 – Feb. 2023

Undergraduate Research Student

Projects

Intelligent High-Performance 3-Axis Stabilized EO/IR Integrated System

Mar. 2026 – Present

EOST, Korea

Code is not publicly available due to project confidentiality.

500g-Class EO/IR System for Fixed-Wing or Rotary-Wing Platforms

Mar. 2026 – Present

EOST Collaboration, Civil-Military Cooperation-funded, Korea

Code is not publicly available due to project confidentiality.

Intelligent Battlefield Situation Awareness AI Algorithm

Mar. 2025 – Sep. 2026

Hyundai Rotem, Korea

Code is not publicly available due to project confidentiality.

Manufacturing Data Analysis Project

Jul. 2022 – Nov. 2022

Gyeongnam Changwon Innovation Data Center, Korea

Early Diagnosis Service for Hair Loss using 2D-CNN

Apr. 2022 – Jun. 2022

Graduation Project, Korea

Conferences

  1. Siwoo Kim, Jonghyun Ahn, “Cross-Modal Knowledge Distillation for Thermal Object Detection,” Korea Robotics Society, Pyeongchang, Korea, Feb. 2026. Poster.
  2. Siwoo Kim, Sungju Ahn, Jonghyun Ahn, “Implementation of Thermal Object Detection Model on Edge Devices,” KSAE, Jeju, Korea, May. 2025. Poster.
  3. Siwoo Kim, Sungju Ahn, Jonghyun Ahn, “Edge Device Implementation of Thermal Object Detection Model for Nighttime Autonomous Driving,” KIIS Spring Conference, Gumi, Korea, Apr. 2025. Oral.
  4. Taeyoung Yoon, Chaeyun Yeo, Heechang Lee, Siwoo Kim, Yebin Ji, HyeonYoung Oh, Daesung Kang, “Comparison of 2D-CNN, LSTM, and GRU for Cardiovascular Disease Diagnosis,” IEEE/IEIE ICCE-ASIA, Yeosu, Korea, Oct. 2022. Poster.
  5. Siwoo Kim, Taeyoung Yoon, Heechang Lee, Daesung Kang, “Cardiovascular Disease Diagnosis According to Lead-wise Scalogram and Integrated Scalogram of 12-Lead ECG Signals,” Korea Artificial Intelligence Conference, Jeju, Korea, Sep. 2022. Oral.
  6. Chaeyun Yeo, Taeyoung Yoon, Heechang Lee, HyeonYoung Oh, Yebin Ji, Siwoo Kim, Daesung Kang, “Effectiveness of 2D-CNN for Cardiovascular Disease Classification Based on Grayscale Images and Scalogram Transformation of ECG Signals,” Korea Institute of Convergence Signal Processing Fall Conference, Jeju, Korea, Dec. 2021. Oral.

Awards and Honors

Skills and Techniques