Taeyi Kim

Taeyi Kim

M.S. Student @ IODA Lab, Hanyang University ERICA. Researching prognostic and health management, time-series forecasting, and edge AI.

About

Hi! I’m a Master’s student in Industrial and Management Engineering at Hanyang University ERICA, advised by Prof. Stephane Barde at the Industrial Operations & Data Analytics (IODA) Lab.

My research focuses on Prognostics and Health Management (PHM) for lithium-ion batteries, with emphasis on deploying deep learning models on resource-constrained edge devices through model compression techniques.

Research Interests

  • Prognostics and Health Management (PHM)
  • Time-Series Forecasting
  • Edge Computing & Model Compression (Knowledge Distillation, Quantization, Pruning)

News

  • 2025.12 🏆 Grand Prize at Factory Hack Korea 2025 (Ministry of Trade, Industry and Resources (MOTIR))
  • 2025.11 📄 Paper published in Journal of Energy Storage (First Author)
  • 2025.10 📄 Paper published in Energy (Co-Author)
  • 2025.10 🏆 Best Paper Award at IEEE Global Reliability & PHM Conference
  • 2025.10 📝 Patent filed for integrated compression pipeline for battery prognostics
  • 2025.06 🏆 Excellence in Presentation Award at The Korean Reliability Society (KORAS) Spring Conference

Selected Publications

  • T. Kim, Y. Seo, S. Barde, “Edge-compatible SOH Estimation for Li-ion Batteries via Hybrid Knowledge Distillation and Model Compression,” Journal of Energy Storage, 2025. (83.5× compression, 18.7× throughput improvement)
  • Y. Seo, T. Kim, S. Barde, “Enhancing Battery SOH Prediction with Physics-Informed Neural Networks in Data-Scarce Environments,” Energy, 2025.
  • T. Kim, Y. Seo, S. Barde, “Hybrid Compression for Accurate End of Life Prediction on Edge Battery Management System,” IEEE PHM Conference, 2025.
  • Y. Seo, T. Kim, S. Barde, “Robust SOH Prediction for Lithium-Ion Batteries via ProbSparse Informer Architecture,” IEEE PHM Conference, 2025. (Best Paper)

Education

  • M.S. in Industrial and Management Engineering, Hanyang University ERICA (2024 - Present)
  • B.S. in Industrial and Management Engineering, Hanyang University ERICA (2022 - 2024)

Experience

  • Research Intern, Korea Institute of Industrial Technology (KITECH), Jul - Aug 2024
    • Developed tool wear prediction algorithms for CNC machining processes
  • Research Intern, Edge Cross AI, Jul - Aug 2023
    • Developed OPC UA-based data acquisition firmware for edge computing environments