HCI
Yeomin Kim
IT Engineering
South Korea
Summary
I am a dedicated IT engineering student with a strong interest in Human-Computer Interaction (HCI), medical data analysis, healthcare, and computer vision. I have gained experience in analyzing biological signals like EEG , developing deep learning models, and participating in research, aiming to contribute further in the fields of AI-based medical technologies and HCI.
Work History
HCI Research Intern
숙명여자대학교
10.2023 - 02.2024
- Participated in a project titled 'Real-Time BCI System for Target Detection' (Published by IEEE).
- Outstanding Paper Award, 12th International Winter Conference on Brain-Computer Interface (BCI) (2024)
- Worked on developing deep learning models for EEG-based target detection using time-series data.
- Processed and prepped EEG data using EEG Lab, applying various preprocessing techniques such as noise reduction and normalization.
- Conducted experiments with participants to collect EEG data.
- Improved model performance through advanced deep learning architectures, including EEGNet and LSTM.
- Solved class imbalance issues by experimenting with GANs and modifying convolutional layers.
- Engaged in international conferences to learn about trends in Brain-Computer Interface (BCI) research.
한이음 ICT Mentoring Program-Pet Health Keeper App
과학기술정보통신부
03.2024 - 11.2024
- Developed a deep learning model for classifying dog obesity based on image data using EfficientNet.
- Created a real-time pet food recommendation algorithm using ChatGPT API and Google Shopping API to personalize suggestions based on dog health data.
- Integrated Arduino to collect heart rate and step count data into a database, enhancing the dog food recommendation algorithm based on the dog’s health condition.
- Applied Convolutional Neural Networks (CNNs) for image classification, achieving significant accuracy in predicting Body Condition Scores (BCS).
- Addressed class imbalance in the provided open-source dog image dataset through data augmentation techniques.
- Utilized cloud services such as AWS S3 for data storage, AWS EC2 for data processing and model training, AWS IoT for data publishing, and AWS Lambda for data transfer.
- As a team leader, coordinated opinions between the mentor and team members, and organized data analysis records into reports for regular presentations.
Health Care Capstone Project
숙명여자대학교
09.2023 - 12.2023
- Developed an EEG analysis model to measure brain fatigue and blink rates using the Muse2 device.
- Adapted the approach to a 4-channel EEG device by analyzing the ratio of alpha waves to assess brain fatigue, distinguishing between periods of rest and concentration.
- Built a corresponding mobile application for real-time monitoring and analysis.
- Applied various data preprocessing techniques and trained models to detect cognitive states.
Enhanced Security Image Editing SaaS Website
Personal Project
07.2024 - 09.2024
- Developed a secure image editing platform with SaaS features such as aspect ratio adjustments, padding with AI-generated content, background removal, object color changes, and image quality enhancement.
- To address deepfake-related social issues, implemented a feature requiring users to consent to IP address collection before viewing the original image, with all IP addresses securely stored in the database.
- Implemented user login, personalized image sharing, and a privacy-focused security feature where users' images are initially blurred for others until they consent to IP address collection, which removes the blur.
- Utilized MongoDB, Next.js, and Cloudinary for image storage, processing, and security.
Shinhan Financial Big Data Analytics Competition
신한금융그룹, 빅데이터혁신공유대학사업단
09.2022 - 09.2022
- I proposed an idea to analyze encrypted customer data from Shinhan Bank to recommend personalized travel packages for each customer.
- As a team leader, coordinated team members' opinions and worked towards implementing an efficient development plan.
Tourism Data Utilization Contest
한국관광공사, 카카오
05.2022 - 09.2022
- Developed a React-based web application using public APIs to enhance the tourism experience.
- The service provides information on tourist attractions, accommodations, and restaurants based on region and sports themes.
Education
Bachelor of Science - Computer Engineering
03.2021 - 02.2026
Skills
Programming Languages: Python, JavaScript, TypeScript
Tools & Frameworks: React, TensorFlow, PyTorch, Mongoose
Deep Learning & AI: CNNs, LSTMs, GANs, EEGNet, EfficientNet
Data Processing & Analysis: EEG Lab, Muse2, Preprocessing (Normalization, Oversampling)
Version Control: Git, GitHub
Other Skills: API Integration (ChatGPT, Google Shopping), Mobile App Development
Interests
Medical Data Analysis
Healthcare Technologies
Computer Vision
AI-based Solutions for Biological Signal Analysis
Awards & Achievements
- Outstanding Paper Award, 12th International Winter Conference on Brain-Computer Interface (BCI) (2024)
- Honorable Mention, Hanium ICT Mentoring Program – Pet Health Keeper App (2024)
- Third Prize, Shinhan Financial Big Data Analytics Competition (2022)
- Third Prize, Korea Tourism Organization x Kakao Tourism Data Contest (2022)
Publications
- Eunji Won, Seongyeon Lim, Yeomin Kim, Sun-Yeon Dong, “Toward the TCN-based Real-Time BCI system for Target detection", 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'24), July 15-19, 2024, Orlando, USA
- Eunji Won, Seongyeon Lim, Yeomin Kim, Sun-Yeon Dong, “Real-Time BCI System for Target Detection”, 2024 12th International Winter Conference on Brain-Computer Interface (BCI), Feb. 26-28, 2024, Gangwon, Korea, Republic of
Timeline
Enhanced Security Image Editing SaaS Website - Personal Project
07.2024 - 09.2024
한이음 ICT Mentoring Program-Pet Health Keeper App - 과학기술정보통신부
03.2024 - 11.2024
HCI Research Intern - 숙명여자대학교
10.2023 - 02.2024
Health Care Capstone Project - 숙명여자대학교
09.2023 - 12.2023
Shinhan Financial Big Data Analytics Competition - 신한금융그룹, 빅데이터혁신공유대학사업단
09.2022 - 09.2022
Tourism Data Utilization Contest - 한국관광공사, 카카오
05.2022 - 09.2022
숙명여자대학교 - Bachelor of Science, Computer Engineering
03.2021 - 02.2026