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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Research Portfolio
배터리 PHM 및 Edge AI 연구 포트폴리오
publications
Enhancing Battery SOH Prediction with Physics-Informed Neural Networks in Data-Scarce Environments
Published in Energy, 2025
Demonstrated superior performance compared to existing models in data-scarce environments by integrating physics-based learning.
Recommended citation: Y. Seo, T. Kim, S. Barde. (2025). "Enhancing Battery SOH Prediction with Physics-Informed Neural Networks in Data-Scarce Environments." Energy.
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Hybrid Compression for Accurate End of Life Prediction on Edge Battery Management System
Published in IEEE Global Reliability & PHM Conference, 2025
Developed lightweight model enabling real-time battery EOL estimation on edge devices.
Recommended citation: T. Kim, Y. Seo, S. Barde. (2025). "Hybrid Compression for Accurate End of Life Prediction on Edge Battery Management System." IEEE Global Reliability & PHM Conference.
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Robust SOH Prediction for Lithium-Ion Batteries via ProbSparse Informer Architecture
Published in IEEE Global Reliability & PHM Conference, 2025
Best Paper Award
Recommended citation: Y. Seo, T. Kim, S. Barde. (2025). "Robust SOH Prediction for Lithium-Ion Batteries via ProbSparse Informer Architecture." IEEE Global Reliability & PHM Conference.
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Edge-compatible SOH Estimation for Li-ion Batteries via Hybrid Knowledge Distillation and Model Compression
Published in Journal of Energy Storage, 2025
Achieved 83.5× model compression (451KB → 5.4KB) while maintaining accuracy. Implemented lightweight model capable of real-time inference on Raspberry Pi 4B. Improved throughput by 18.7× and inference speed by 13.1× compared to baseline.
Recommended citation: T. Kim, Y. Seo, S. Barde. (2025). "Edge-compatible SOH Estimation for Li-ion Batteries via Hybrid Knowledge Distillation and Model Compression." Journal of Energy Storage.
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talks
Response-based Knowledge Distillation, Pruning, and Quantization Approach for Lightweight Li-ion Battery SOH Prediction Model
Published:
Excellence in Presentation Award (Poster)
Hybrid Compression for Accurate End of Life Prediction on Edge Battery Management System
Published:
Presented research on hybrid compression techniques for accurate EOL prediction on edge BMS devices.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.