Hyoju Kang

Undergraduate Student Researcher at Purdue Vertically Integrated Projects (VIP)
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Contact Information
us****@****om
(386) 825-5501
Location
Lafayette, Indiana Metropolitan Area, US
Languages
  • Korean Native or bilingual proficiency
  • Chinese Elementary proficiency
  • English Professional working proficiency

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Credentials

  • EBEC: Entry-Level Programming in Python
    Purdue University
    Dec, 2022
    - Nov, 2024
  • Neural Networks and Deep Learning
    Coursera
    Oct, 2022
    - Nov, 2024
  • 3rd Dan Black Belt
    국기원

Experience

  • Purdue Vertically Integrated Projects (VIP)
    • United States
    • Higher Education
    • 1 - 100 Employee
    • Undergraduate Student Researcher
      • Aug 2022 - Present

      AMP Machine Learning team1• Implemented computer vision technology by cropping a single necessary video frame for lane detection and applying it to the whole frame. Different weather and light conditions are also tested• Collected the lane image sets from video clips and trained the lane detection model with machine-learning technology AMP Machine Learning team1• Implemented computer vision technology by cropping a single necessary video frame for lane detection and applying it to the whole frame. Different weather and light conditions are also tested• Collected the lane image sets from video clips and trained the lane detection model with machine-learning technology

  • Samsung Electronics
    • South Korea
    • Computers and Electronics Manufacturing
    • 700 & Above Employee
    • DRAM Product Engineer
      • Jul 2022 - Aug 2022

      • Obtained considerable raw data through repetitive experiments, such as sending diverse electrical currents to each wafer chip using a probe card and exposing a wafer to extreme temperatures • Found an optimal sensing point in DRAM’s reading phase by adjusting the voltage RMS to satisfy the ideal target value. I then generated an enhanced function with a macro program and could secure 1 to 2 percent of increasing yield of semiconductor • Obtained considerable raw data through repetitive experiments, such as sending diverse electrical currents to each wafer chip using a probe card and exposing a wafer to extreme temperatures • Found an optimal sensing point in DRAM’s reading phase by adjusting the voltage RMS to satisfy the ideal target value. I then generated an enhanced function with a macro program and could secure 1 to 2 percent of increasing yield of semiconductor

  • Purdue University
    • United States
    • Higher Education
    • 700 & Above Employee
    • Undergraduate Student Researcher
      • Aug 2021 - Jan 2022

      - EVEI (Electric Vehicle Event Infrastructure) team• Developed an effective way to convert energy from riding a bike into power for LED towers. The project is also used as an academic source for elementary students• Contributed to LED design and Power generator using Raspberry Pi and Arduino - EVEI (Electric Vehicle Event Infrastructure) team• Developed an effective way to convert energy from riding a bike into power for LED towers. The project is also used as an academic source for elementary students• Contributed to LED design and Power generator using Raspberry Pi and Arduino

  • Republic of Korea Army
    • Armed Forces
    • 400 - 500 Employee
    • Sergeant / Military Engineer
      • Aug 2018 - Apr 2020

      •Operated mine-dispensing ground vehicles and specialized in explosive materials with knowledge in electrical engineering •Operated mine-dispensing ground vehicles and specialized in explosive materials with knowledge in electrical engineering

Education

  • Purdue University
    Bachelor of Science - BS, Electrical engineering
    2017 - 2023

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