CV

General Information

Full Name SeongHak KIM
Date of Birth 5th March 1996
Birthplace Daegu, Republic of Korea (ROK)
Nationality Korean
Languages Korean (native), English (intermediate), Japanese (beginner)
Military Service May. 2016 - Feb. 2018 (Marine Corps)

Research Experiences

  • 2024.10 - 2055.10
    Researcher
    Agency for Defense Development (ADD), Daejeon, ROK
    Defense AI R&D Institute
    • Interests
      • Knowledge Distillation (KD)
      • Object Detection
  • 2024.03 - 2024.08
    Intern Researcher
    Korea Institute of Science and Technology (KIST), Seoul, ROK
    Advanced Materials and Systems Research Division
    • Supervised by Dr. Myung-Suk Chun
    • Interests
      • Complex Fluids
      • Microfluidics
  • 2022.09 - 2024.02
    Student Researcher
    Korea Advanced Institute of Science and Technology (KAIST), Daejeon, ROK
    Electrical Engineering
    Maximizing discrimination capability of knowledge distillation with energy function
    • Advised by Prof. Daeshik Kim
    • Interests
      • Computer Vision
      • Model Compression
      • Knowledge Distillation (KD)
  • 2020.09 - 2022.08
    Student Researcher
    Seoul National University (SNU), Seoul, ROK
    Aerospace Engineering
    Numerical analysis of a phase change effect on the multiple pulsations of spark-generated bubble
    • Advised by Prof. Chongam Kim
    • Interests
      • Computational Fluid Dynamics (CFD)
      • Multiphase Flow
      • Bubble Dynamics

Honors and Awards

  • 2022.06
    Best Paper Award
    National Congress on Fluids Engineering (NCFE), ROK
    Numerical analysis of a phase change effect on the multiple pulsations of the spark-generated bubble
  • 2021
    Academic Excellence Scholarship
    Seoul National University (SNU), ROK

Projects

  • 2023.04 - 2024.02
    Product Instance Segmentation in Retail Ready Package with Knowledge Distillation
    SHINSEGAE I&C
  • 2022.09 - 2023.03
    Motion Blur- and Blocking-Resistant Product Feature Extraction Technologies
    SHINSEGAE I&C
  • 2020.09 - 2022.08
    Physics-Based Direct Simulation of Multiple UNDEX Using High-Fidelity Numeric and Accurate Description of Thermodynamics and Phase
    Office of Naval Research (ONR)

Teaching Experiences

  • Probability and Statistics, Teaching Assistant
    Korea Advanced Institute of Science and Technology
    Winter 2023
  • Compressible Fluid Dynamics, Teaching Assistant
    Seoul National University
    Spring 2021
  • EDISON CFD Software Program, Lecturer
    Seoul National University
    Fall 2021, Spring 2021, and Fall 2020

Careers

  • Intern Research Student
    Electronics and Telecommunications Research Institute (ETRI),
    Daejeon, ROK
    Summer 2019 and Winter 2020

Skills

Programming languages Python, C++, Fotran, and Matlab
AI Frameworks PyTorch and Tensorflow
Engineering Tools COMSOL, CATIA, PointWise, Tecplot, SigmaPlot, and MathType