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Bachelor of Science

Ewha Womans University

Electronics and Electrical Engineering, minor in Mathematics

• Linear Algebra
• Embedded Systems
• Signal Processing
• Communication Networks

Master of Science

Ehwa Womans University

Electronics and Electrical Engineering

• Deep Learning
• Signal Processing
• Big Data
• Cyber-Physical Systems

A Combined Twin and Single Network for Fast and Robust Inspection of IC Substrates

Master's degree Thesis

Conducted research on IC substrate and EUV-based semiconductor inspection using advanced machine vision techniques. Developed and optimized defect detection algorithms for semiconductor products by comparing reference images with test images to identify inconsistencies.

Personal Mobility Safe Driving System with Knowledge Distillation

2023 IEEE 20th International Conference on Ubiquitous Robots

Propose a deep learning-based safety system for personal mobility. Use user-side and roadside images to check helmet usage, forward-looking behavior, and driving on sidewalks or near intersections.

Action Recognition using 3D Point Cloud from Frequency Modulated Continuous Wave Radar Signals

2023 Image Processing and Image Understanding (IPIU)

Motion classification using Support Tensor Machine (SVM) with 3D point cloud data collected with FMCW radar.

2-input deep learning based multi-tasking safe driving system for e-scooter

The Institute of Electronics and Information Engineers

Utilize CNN-based models for detecting helmet usage and forward-looking behavior in user images, and also detecting pedestrian zone riding and estimating the closest distance with road images.

Full-tuition Scholarship based on merit

Ewha Womans University

Awarded a full-tuition scholarship for academic excellence.

BK21 Overseas Training Scholarship

Ewha Womans University, BK21 Plus

Received scholarship support for overseas training and research.

Kwanjeong Scholarship

Kwanjeong Educational Foundation

Awarded as a promising student and received $18,000 over four semesters.

Grand Prize in Undergraduate Thesis Competition

IEIE Autumn Annual Conference

Awarded for the Undergraduate Thesis Competition. (📄 Paper link included).

Gold Prize in Engineering Capstone Design Contest

Ewha Womans University

Recognized for excellence in capstone design for innovative solutions.

Dean’s List

Ewha Womans University

Maintained a top GPA and listed on the Dean’s list for 5 semesters.

Engineering Leadership Scholarship

Ewha Womans University

Awarded for leadership in engineering-related projects and activities.

Gold Medal in AI-JAM Korea 2020

AI-JAM Association

Developed a clustering model utilizing NLP techniques to automatically cluster YouTube Q&A comments. Delivered the final presentation.

Deep Learning-Based Semiconductor Product Inspection

Thesis for Master's degree under Prof. Jeongtae Kim. Developed a lightweight twin network-based defect detection system for IC substrates, designed to be robust against mis-registration and characteristic differences.

• Siamese Network
• Change Detection
• Attention
• Knowledge Distillation
• Vision Transformer

Personal Mobility Safe Driving System

Developed a deep learning-based safety system specifically designed for personal mobility devices under Prof. Kahyun Lee. Submitted one international and one domestic conference paper on this topic.

• Overall training of deep-learning models
• Hardware setting and embedding with Jetson Nano
• Application of knowledge distillation techniques
• Key technologies: Transfer Learning, Knowledge Distillation, Image Processing, Hardware Embedding

3D Beamforming-Based Estimation of Breathing and Heart Rates

Investigated an approach for estimating breathing and heartbeat rates utilizing 3D beamforming-based frequency modulated continuous wave (FMCW) radar signals under Prof. Jeongtae Kim. Demonstrated superior performance compared to conventional 2D beamforming methods.

• Radar Signal Processing
• Beamforming
• Signal Analysis
• Experimental Design and Execution

Application of Deep Learning Techniques in Radar Signal Processing

Applied deep learning techniques to radar signal processing for various applications, including fall detection, pose estimation, and people counting from radar data, under Prof. Jeongtae Kim.

• Fall Detection and Pose Estimation: 3D point cloud generation, RNN, LSTM
• People Counting from Radar Data: 2D heatmap generation, CNN
• Key technologies: Radar Signal Processing, Deep Learning for Signals

Embedded Systems & Arduino Projects

Participated in various projects through club activities, class projects, and extracurriculars from 2019 to 2022, showcasing skills in embedded systems, Arduino, and IoT.

• 2019 ZER01NE DAY (Creator Camp, Hyundai Motors, 2019): Developed a glass harp and sand animation machine using an Arduino-based XY-plotting system
• Real-time Wireless Motion Monitoring System (2022): Created a system for smart factory processes using XBee communication modules
• Club Exhibition Projects: Engineered a DDR pad with Arduino and pressure sensors in 2019, and developed an IoT clock with LED animations and 3D modeling in 2020
• Key technologies: Arduino, IoT, Bluetooth, Embedding, Hardware Design, 3D printing