Junyong Park smiling in front of a window
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Machine Learning Researcher

Junyong Park

Pittsburgh, PA jyp0802@hotmail.com

I recently completed my Ph.D. in Computer Science at KAIST. My research focuses on machine learning for wearable sensor data and human motion understanding. I am currently seeking opportunities in applied machine learning, wearable sensing, and health-related AI.

Wearable sensing Human motion Machine learning

Experience

Apple

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 it across 16 downstream tasks.

Publications

SlotFM model overview
Preprint2025

SlotFM: A Motion Foundation Model with Slot Attention for Diverse Downstream Tasks

Junyong Park, Oron Levy, Rebecca Adaimi, Asaf Liberman, Gierad Laput, Abdelkareem Bedri

PDFarXiv
Silent Impact system overview
ACM UIST2024

Silent Impact: Tracking Tennis Shots from the Passive Arm

Junyong Park, Saelyne Yang, Sungho Jo

PDFACM DLVideo
Wheelchair shared control system overview
IEEE Sensors Journal2023

Asynchronous Motor Imagery BCI and LiDAR-based Shared Control System for Intuitive Wheelchair Navigation

Jin Woo Choi, Junyong Park, Sejoon Huh, Sungho Jo

PDFIEEE Xplore
Action segmentation method overview
Pattern Recognition2022

Maximization and Restoration: Action Segmentation through Dilation Passing and Temporal Reconstruction

Junyong Park, Daekyum Kim, Sejoon Huh, Sungho Jo

PDFScienceDirect
Robot handover system overview
Ubiquitous Robots2021

A Robot Capable of Proactive Assistance through Handovers for Sequential Tasks

Nayoung Oh, Junyong Park, Ji Ho Kwak, Sungho Jo

PDFIEEE Xplore
Humanoid locomotion pipeline overview
IEEE/RSJ IROS2021

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, Sungho Jo, Sung-Eui Yoon, Jun-Ho Oh

PDFIEEE Xplore
Hybrid brain-computer interface overview
WBCI2019

A SLAM Integrated Hybrid Brain-Computer Interface for Accurate and Concise Control

Junyong Park, Jin Woo Choi, Sungho Jo

PDFIEEE Xplore

Education

Ph.D. in Computer Science

KAIST · 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

M.S. in Computer Science

KAIST · School of Computing

Advisor: Sungho Jo

Thesis: Feature Removal of Movable Objects in Visual SLAM

B.S. in Computer Science

KAIST · School of Computing

Graduated with Honors (Cum Laude)

Contact

If you would like to discuss research or opportunities, feel free to email me.

jyp0802@hotmail.com