About
General Information
| Name | Kang TaeYoung (강태영) |
|---|---|
| University | Chung-Ang University (중앙대학교) |
| Major | Applied Statistics & Computer Science (응용통계학 · 컴퓨터공학) |
| Expected Graduation | August 2026 (Enrolled: March 2020) |
| Contact | kangty0527@gmail.com |
| Location | Seoul, South Korea |
| Languages | Korean (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 University — Jul 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
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