I am a Ph.D. student in Networking & Mobile Systems Lab at Korea Advanced Institute of Science and Technology (KAIST), advised by professor Sung-Ju Lee. I was a research intern at InBody (2020), and I received my B.S. in Electrical Engineering from KAIST with Magna Cum Laude.
Please reach out to collaborate 😃
MS & PhD in Electrical Engineering
Korea Advanced Institute of Science and Technology (KAIST)
BS in Electrical Engineering
Korea Advanced Institute of Science and Technology (KAIST)
Exploring model adaptation methods that enable real-time inference on extremely resource-constrained devices
Apr 27, 2024
Adapts pre-trained representation from large-scale images to diverse IMU sensing tasks
Feb 27, 2024
Exploring mobile system that uses a flickering flashlight and the rolling shutter effect to quickly detect hidden cameras amidst rising illegal filming crimess
Oct 25, 2023
Addressed the extreme noniid scenario, where the classification label and features are simultaneously non-iid via Domain-aware Contrastive Federated Learning with Major Domain Group Selection
Oct 23, 2023
Developing MANET distributed resource allocation algorithms, routing protocols, and routing metrics suitable for cluster robot operation
Feb 11, 2023
Developed prototype chair with a tablet app, featuring AI-based heart height estimation, BLE-controlled laser and motor, and cloud server measurement management.
Dec 1, 2020
02/2021 – 02/2022
Undergraduate Research Intern
Daejeon, Republic of Korea
02/2020 – 08/2020
Research Intern
Seoul, Republic of Korea
08/2019 – 09/2019
Individual Research Intern
Daejeon, Republic of Korea
2024 – 2024
KAIST School of Electrical Engineering
2020 – 2020
InBody Co., Future Innovation Team
2018 – 2019
KAIST School of Electrical Engineering
2018 – 2019
Korea Institute of Science and Technology
Design and operate special classes and programs for KAIST freshmen
2022
Korea Advanced Institute of Science and Technology
2019
Noyeop Cultural Foundation
One person per department, provided until graduation
2017
Korea Advanced Institute of Science and Technology
Outstanding student in the department
Programming — Python, C, C++, Java
Machine Learning — Pytorch, Tensorflow, Tensorflow Lite
Hardware Prototyping — Arduino, RaspberryPi, Qorvo
Network Simulation — NS3 simulator