Sungju Kim
Ph.D. Student

Research Interests

  • Optimizing ML Models for Accelerated Computing
    • Focus on designing machine learning models that are specifically tailored to leverage the capabilities of hardware accelerators like NPUs

Education

  • 2022.08~Present, M.S.-Ph.D student, Dept. of Electrical Engineering and Computer Science, DGIST
  • 2018.03~2022.08, Bachelor of Convergence engineering, School of Basic Science, DGIST

SKIILS AND TECHNIQUES

  • C / C++
  • Python
  • Pytorch
  • Bash Script

Experience

  • 2024.03~2023.08, Teaching Assistant, CSE305 Computer Architecture, DGIST
  • 2023.03~2023.08, Teaching Assistant, CSE305 Computer Architecture, DGIST
  • 2022.08~Present, Research Assistant, DGIST