Chaemin Hwang

Undergraduate Student  ·  Yonsei University

I am an undergraduate student at Yonsei University, majoring in Sociology with a minor in Applied Statistics.

My research goal is to develop human-centric AI — leveraging computer vision and machine learning to address real-world social challenges.
Toward this, I am also interested in Trustworthy AI, focusing on fairness and explainability.

Human-Centric AI Trustworthy AI Computer Vision
Email CV GitHub
Chaemin Hwang

Education

Yonsei University, Seoul, Republic of Korea Mar. 2021 – Aug. 2026 B.A. in Sociology with a Minor in Applied Statistics
Advanced Major in AI Convergence
GPA: 3.90 / 4.30

Research Experience

Dec. 2025 – Present Visual AI Lab Led by Prof. Haegon Jeon, Yonsei University
Topic: Human-Centric Trajectory Prediction incorporating Social Science Theories
Aug. 2025 – Nov. 2025 EDGE AI Lab Led by Prof. Dongjun Han, Yonsei University
Topic: Personalized Domain Generalization in Non-IID Federated Learning
Jan. 2023 – Jul. 2023 Social Networks & Neuroscience Lab Led by Prof. Yoosik Youm, Yonsei University
Topic: Research on Adolescents' Social Relationships and Mental Health

Projects

Monocular Dog Body Length Estimation
Monocular Dog Body Length Estimation

24-2 Yonsei DSL Corporate Project supported by PetNow, Seoul AI Hub, and advised by Prof. Taeyoung Park.

Improving a dog body length estimation model. Based on pose estimation and depth estimation models, we improve 2d-to-3d transformation with camera intrinsic parameters.

Due to security issues, the materials cannot be disclosed.

Memorial Pet Contents Generation
Memorial Pet Contents Generation

24-2 Yonsei DSL Modeling Project.

Generating a memorial pet content for owners grieving the loss of their pets. We utilize Stable Diffusion with ControlNet and LLaMA fine-tuned with LoRA.

Our code is available here.

Audio Sentiment Classification
Audio Sentiment Classification

24-1 Yonsei DSL Corporate Project supported by WesomE.

Developing a lightweight model (under 500MB) for recognizing emotions from speaker's voice data, focusing on feature augmentation through analyzing high-frequency details.

Due to security issues, the materials cannot be disclosed.

Sentiment Analysis using Restaurant Review
Sentiment Analysis using Restaurant Review

24-1 Yonsei DSL Modeling Project.

Conducting restaurant review sentiment analysis by fine-tuning KoELECTRA and generating summaries using the GPT API. We deploy the results through a web-based interface.

Our code is available here.

Performance Review Archiving Service
Performance Review Archiving Service

23-2 Social Data Research and Analysis (SOC4704) with Yeonghoo Pyo, Jeonghoon Ko, Yejin Heo, and advised by Prof. Jeonghan Kang.

Developing a review archiving service for campus performance clubs to improve performance quality and enhance audience engagement. Improved User Experience through interviews with club leaders and audience members.

We published our book! here / Our presentation is available here.

Honors & Awards

2022.09 – 2025.02 Mentoring Scholarship, Lotte Foundation Math mentoring volunteering for middle school students at a local children's center.
2024.08 – 2024.09 Certification, 5th LG Aimers / Data Intelligence LG Aimers: Online AI Education and Hackathon, held by LG AI Research.
Topic: Developing a product defect detection model based on process data.
2023.05 CLIO Social Data Science Development Scholarship A scholarship given to motivate and encourage learning in the field of social data science.

Miscellanea

Dec. 2023 – Dec. 2024 Yonsei Data Science Lab — 11th Regular Member Yonsei Data Science Lab (DSL) is a student community under the Department of Applied Statistics at Yonsei University, advised by Prof. Taeyoung Park. Yonsei DSL focuses on studying and applying various theories related to Data Science and Machine Learning, based on statistical theory.