Jung Wonsuhk

Seoul National University
Mechanical Engineering & Artificial Intelligence
smw04015@snu.ac.kr

Hello! I'm Wonsuhk JUNG , a fourth-year student in Mechanical Engineering at the Seoul National University.
My advisor is Prof.Gyujin Cho. My current interest is Control Robotics utilizing Computer Vision.
I am aiming to study in U.S.A college. Thank you for visiting.

Interests

Robotics & Control

Self-driving car

I am recently interested in self-driving technology, regardless of its platform. Drone, car, even a robot cleaner can be a medium of its technology. By detecting objects and doing SLAM according to visual information, I believe perfect self-driving technology would be right in front of us.

Computer Vision

Object Detection, Pose Estimation

Experience

Face ID Detection startup Roborus Inc. Intern

Machine Learning Engineer
  • Real-time object detection using EfficientDet D7, improved NMS Algorithm.
  • Real-time pose estimation using AlphaPose, classify the behavior.
  • Full-stack web app development using Flask
Dec 2020 - Mar 2021

International Self-driving car Competition

Computer Vision Team, Advisor: Prof. Kyeongsu, Lee
  • Lane detection by Classic Vision using OpenCV.
  • Object detection using YOLO v4, image postprocessing.
  • Floor removal using RANSAC, real-time SLAM using LiDAR-YOLO Fusion.
Jan 2020 - Aug 2020

Samsung C-LAB Internship

Urine-analyzing tools: Health-care project for Seniors
  • Analyze & preprocess urine test strip image using OpenCV.
  • Developed automatic urine test strip analyzing tools using PyQt5.
  • Market research in the field of smart-bidet against seniors.
Jan 2020 - December 2011

Software Competition by Open Source Academy for Military

Smart auto-responsing phone using Speech Recognition AI technology
  • Send sampled voice from Arduino to Rasberry Pi
  • Create & preprocess dialogue data using Naver Chatbot API
  • National IT Industry Promotion Agency Chief Award : Best Award
Nov 2019

X-corps Competition

Fire rescue system using drone based on voice detection, Advisor: Prof. Yeonjune, Kang
  • Preprocess the sample voice data from rescuee.
  • Rescuee voice detection using FFT.
  • Path-planning algorithm when multiple-rescuee is detected.
Aug 2017 ~ Jan 2018

Kyeong-book Univ. R&E project

Hand rehabilitating robot using biomimetics
  • Design the hardware of hand-rehabilitating robot using Solidworks
  • Korea Robotics Society Annual Conference (KRoC), Junior Session
Jan 2014 ~ Jan 2015

Education

Seoul National University

Bachelor of Mechanical Engineering & AI Engineering

GPA: 3.99/4.3 (cumulative), 4.02/4.3 (major), 4.3/4.3 (AI major)

Mar 2016 - Present

Daegu-Science High School

Mar 2013- Feb 2016

Myeong-il Middle School

Mar 2010- Feb 2013

Skills

Programming Languages & Tools
Workflow
  • Mobile-First, Responsive Design
  • Cross Browser Testing & Debugging
  • Cross Functional Teams
  • Agile Development & Scrum