CV

Education

Ph.D in Version Control Theory, GitHub University, 2018 (expected)
M.S. in Jekyll, GitHub University, 2014
B.S. in GitHub, GitHub University, 2012

Work experience

Spring 2024: Academic Pages Collaborator
- GitHub University
- Duties includes: Updates and improvements to template
- Supervisor: The Users
Fall 2015: Research Assistant
- GitHub University
- Duties included: Merging pull requests
- Supervisor: Professor Hub
Summer 2015: Research Assistant
- GitHub University
- Duties included: Tagging issues
- Supervisor: Professor Git

Skills

Skill 1
Skill 2
- Sub-skill 2.1
- Sub-skill 2.2
- Sub-skill 2.3
Skill 3

Publications

    <h3>Journal</h3>
    <ul>

Edge-Compatible SOH Estimation for Li-Ion Batteries via Hybrid Knowledge Distillation and Model Compression

Kim T., Seo Y., & Barde, S. (2025). "Edge-Compatible SOH Estimation for Li-Ion Batteries via Hybrid Knowledge Distillation and Model Compression." Journal of Energy Storage. 135, 118275.

Enhancing Battery SOH Prediction with Physics-Informed Neural Networks in Data-Scarce Environments

Seo Y., Kim T., & Barde, S. (2025). "Enhancing Battery SOH Prediction with Physics-Informed Neural Networks in Data-Scarce Environments." Energy. 335, 138316.

    </ul>

    <h3>Conference</h3>
    <ul>

Hybrid Compression for Accurate End of Life Prediction on Edge Battery Management System

Kim T., Seo Y., & Barde, S. (2025). "Hybrid Compression for Accurate End of Life Prediction on Edge Battery Management System." In 2025 IEEE Global Reliability & PHM Conference (PHM-Xi'an). Xi'an, China.

Robust SOH Prediction for Lithium-Ion Batteries via ProbSparse Informer Architecture

Seo Y., Kim T., & Barde, S. (2025). "Robust SOH Prediction for Lithium-Ion Batteries via ProbSparse Informer Architecture." In 2025 IEEE Global Reliability & PHM Conference (PHM-Xi'an). Xi'an, China.

    </ul>

Seo Younggeon

CV

Education

Work experience

Skills

Publications

Edge-Compatible SOH Estimation for Li-Ion Batteries via Hybrid Knowledge Distillation and Model Compression

Enhancing Battery SOH Prediction with Physics-Informed Neural Networks in Data-Scarce Environments

Hybrid Compression for Accurate End of Life Prediction on Edge Battery Management System

Robust SOH Prediction for Lithium-Ion Batteries via ProbSparse Informer Architecture

Talks

Hybrid Compression for Accurate End of Life Prediction on Edge Battery Management System

Robust SOH Prediction for Lithium-Ion Batteries via ProbSparse Informer Architecture

Battery State of Health Prediction Framework Using Physics-Informed Neural Networks

Teaching

Teaching experience 2

Teaching experience 1

Service and leadership