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About

About

General Information

NameKang TaeYoung (강태영)
UniversityChung-Ang University (중앙대학교)
MajorApplied Statistics & Computer Science (응용통계학 · 컴퓨터공학)
Expected GraduationAugust 2026 (Enrolled: March 2020)
Contactkangty0527@gmail.com
LocationSeoul, South Korea
LanguagesKorean (Native), English (Intermediate)

Education

B.Sc. in Applied Statistics & Computer Science
Chung-Ang University, Seoul, South Korea
Mar 2020 – Aug 2026 (expected)

  • Double major in Applied Statistics and Computer Science
  • Relevant courses: Regression Analysis, Machine Learning, Deep Learning, Data Structures, Computer Algorithms, Data Mining, Database Systems

Research & Project Experience

Owner & Developer, Tech & Study Blog
GitHub Pages (Personal Blog)Jul 2025 – present

  • Summarize studies and projects on data science, mathematics, ML/DL, and academic papers

Undergraduate Researcher, CAU-ET (Prof. Il-Yeob Kwak)
Signal Processing and Data Science Lab, Chung-Ang UniversityJul 2024 – present

  • Conducting research on biosignal data (ECG/EEG), machine learning and deep learning applications in healthcare
  • Collaborating with lab members on algorithm development and data analysis

Associations & Club Activities

  • Haeryongdang (HRD), College of Business & Economics, Chung-Ang University
    • Member (Mar 2024 – present)
    • HR Manager (Jun 2024 – Dec 2024)
    • President (Jan 2025 – Jul 2025)
    • GA Manager (Jun 2026 - Jul 2026)
  • DArt-B, Data Analysis Society, Chung-Ang University
    • Member (Jan 2024 – Dec 2024)
    • Planning Manager (Jun 2024 – Dec 2024)

Honors & Awards

2024

  • Encouragement Award, Applied Statistics Contest (Optimal Landfill Site Selection)
  • Excellent Award, DArt-B Academic Festival (Customized Song Recommendation System for Korean Language Learners)

2025

  • Encouragement Award, 2025 Winter Conference of the Korean Data Analysis Society (KDAS) Awarded for the presentation: “ResNet-BiGRU with Conditioned Query-Based Cross-Attention and Weighted Loss for Automated Chagas Disease Detection from 12-Lead ECG”

Publications

ResNet-BiGRU with Conditioned Query-Based Cross-Attention and Weighted Loss for Automated Chagas Disease Detection from 12-Lead ECG
Im, Hyuno and Lee, Nahyun and Kang, Taeyoung and Kim, Taehwan and Kim, Donggun and Lee, Donggyu and Oh, Seungsang and Gong, Wuming and Kwak, Il-Youp

Certifications & Licenses

  • ADSP

Academic Interests

  • Research Fields
    • Data Science, Machine Learning, Deep Learning
    • Deep Learning for Speech and Biosignal Applications (ECG classification and prediction)
  • Technical Skills
    • Programming: Python, R, SQL, GitHub CI/CD
    • Frameworks: PyTorch, scikit-learn
    • Data Visualization: Matplotlib, Tableau

Other Interests

  • Reading non-fiction and tech blogs
  • Playing game
  • Running activities