Junyong Park
Pittsburgh, PA, USA · Ph.D., KAIST ·
jyp0802@hotmail.com
I recently completed my Ph.D. in Computer Science at KAIST.
My work focuses on building machine learning models that extract meaningful structure from wearable sensor data for practical use.
I am currently seeking opportunities in applied machine learning, wearable sensing, and health-related AI.
My work focuses on building machine learning models that extract meaningful structure from wearable sensor data for practical use.
I am currently seeking opportunities in applied machine learning, wearable sensing, and health-related AI.
Experiences
Apple
Mar. 2025 - Sep. 2025
Research Intern
Mentor: Abdelkareem Bedri
- Designed a self-supervised learning method for wearable sensor data
- Trained a foundation model on large-scale IMU datasets and evaluated across 16 tasks
Publications
SlotFM: A Motion Foundation Model with Slot Attention for Diverse Downstream Tasks
Junyong Park, Oron Levy, Rebecca Adaimi, Asaf Liberman, Gierad Laput, Abdelkareem Bedri
Preprint
Silent Impact: Tracking Tennis Shots from the Passive Arm
Junyong Park, Saelyne Yang, Sungho Jo
ACM Symposium on User Interface Software and Technology (UIST) 2024
Asynchronous Motor Imagery BCI and LiDAR-based Shared Control System for Intuitive Wheelchair Navigation
Jin Woo Choi, Junyong Park, Sejoon Huh, Sungho Jo
IEEE Sensors Journal 2023
[PDF]
Maximization and restoration: Action segmentation through dilation passing and temporal reconstruction
Junyong Park, Daekyum Kim, Sejoon Huh, Sungho Jo
Pattern Recognition 2022
[PDF]
A Robot Capable of Proactive Assistance through Handovers for Sequential Tasks
Nayoung Oh, Junyong Park, Ji Ho Kwak, Sungho Jo
International Conference on Ubiquitous Robots (UR) 2021
[PDF]
Dynamic Humanoid Locomotion Over Rough Terrain With Streamlined Perception-Control Pipeline
Moonyoung Lee, Youngsun Kwon, Sebin Lee, JongHun Choe, Junyong Park, Hyobin Jeong, Yujin Heo, Min-su Kim, Jo
Sungho, Sung-Eui Yoon, Jun-Ho Oh
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2021
[PDF]
A SLAM Integrated Hybrid Brain-Computer Interface for Accurate and Concise Control
Junyong Park, Jin Woo Choi, Sungho Jo
International Winter Conference on Brain-Computer Interface 2019
[PDF]
Education
KAIST
Ph.D. in School of Computing
Advisor: Sungho Jo
GPA: 4.02/4.3
Thesis: Frequency-Aware Neural Networks for Human Motion Understanding from a Single Wrist IMU
Sep. 2020
-
Feb. 2026
KAIST
M.S. in School of Computing
Advisor: Sungho Jo
Thesis: Feature Removal of Movable Objects in Visual SLAM
Sep. 2018
-
Feb. 2020
KAIST
B.S. in School of Computing
Graduated with Honors (Cum Laude)
Sep. 2014
-
Aug. 2018