Chamin Hwang

Chaemin Hwang

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

My research goal is to leverage AI to address real-world social challenges. I'm particularly interested in developing robust, fair, and trustworthy AI systems that can operate reliably under real-world constraints. Ultimately, I aim to advance AI that meaningfully supports society and drives positive real-world impact.

Email / CV / Github

Education

Yonsei University, Seoul, Republic of Korea

Mar. 2021 – Feb. 2026
B.A. in Sociology with a Minor in Applied Statistics
Advanced Major in AI Convergence
GPA: 3.89 / 4.30

Research Experience

EDGE AI Lab, led by Prof. Dongjun Han, Yonsei University
Aug. 2025 - Nov. 2025
Topic: Personalized Domain Generalization in Non-IID Federated Learning

Social Networks & Neuroscience Lab, led by Prof. Yoosik Youm, Yonsei University
Jan. 2023 - Jul. 2023
Topic: Research on Adolescents’ Social Relationships and Mental Health

Projects

	Monocular Dog Body Length Estimation This work is part of 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 This work is part of 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 This work is part of 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 This work is part of 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 This work is part of 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 and Awards

Mentoring Scholarship, Lotte Foundation
Math mentoring volunteering for middle school students at a local children's center (2022.09 ~ 2025.02)

Certification, 5th LG Aimers/Data Intelligence
LG Aimers: Online AI Education and Hackathon (2024.08 ~ 2024.09), held by LG AI Research.
Topic: Developing a product defect detection model based on process data.

CLIO Social Data Science Development Scholarship
A scholarship given to motivate and encourage learning in the field of social data science (2023.05)

Miscellanea

Yonsei Data Science Lab
11th Regular Member (Dec. 2023 - Dec. 2024)
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.