Welcome!
This is about me
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About

Hye-Jin Kim

Dept of Computer Science and Engineering Kwangwoon University
E-mail : ovoa22@gmail.com

20 Kwangwoon-ro, Nowon-gu, Seoul, Republic of Korea

Interests

Research Interests is,

I entered Computer Science and Engineering department and studied various subjects.
Among them, I have accumulated a lot of research experience mainly on machine learning and artificial intelligence.


Outside of research

During the cold season, we usually spend the holidays watching movies or watching shows,
I like to swim in the warm season ^_^ And I spend a lot of time with my pet cat, Bonnie!

Programing language & Tools

Python

Java

Visual Studio

Bootstrap

HTML5

CSS3

Java Script

Photoshop

Illustrator

Publications

Recent Researches on Application and Influence of Twitter

Hye-Jin Kim and Yong-Hyuk Kim, International Journal of Applied Engineering Research, ISSN 0973-4562 Volume 11, Number 11 (2016) pp 7501-7504

Efficient Methods for Detecting Spam through Analyzing Tweets

Hye-Jin Kim and Yong-Hyuk Kim, International Journal of Applied Engineering Research, ISSN 0973-4562 Volume 11, Number 15 (2016) pp 8448-8451

Classifying Copyrighted Designs through Convolutional Neural Networks

Hye-Jin Kim and Yong-Hyuk Kim, International Journal of Applied Engineering Research, ISSN 0973-4562 Volume 13, Number 1 (2018) pp. 590-597

Parameter Space Analysis of Genetic Algorithm Using Support Vector Regression

Hwi-Yeon Cho, Hye-Jin Kim, Yong-Hyuk Kim, GECCO ’18 Companion, Kyoto, Japan, 2018.

Recent Progress on Graph Partitioning Problems Using Evolutionary Computation

Hye-Jin Kim, Yong-Hyuk Kim, CoRR, 2018.

Extraction of Personal Information Using Face Recognition Based on Deep Learning

Hye-Jin Kim and Yong-Hyuk Kim, Korea Multimedia Society Spring Conference Bulletin 20th Volume 1 (2017) pp 252-253

Twitter Data Collection to Build Customized Tweet Recommendation System

Hwi-Yeon Cho, Hye-Jin Kim, Eun-Chan Lee, Min-Jung Lee, Yong-Wook Nam and Yong-Hyuk Kim Korea Multimedia Society Spring Conference Bulletin 20th Volume 1 (2017) pp 254-255

Classification of Copyrighted Design in Instagram Using Convolutional Neural Networks

Hye-Jin Kim and Yong-Hyuk Kim, Korea Electronics and Telecommunications Research Institute Periodical Conference and Fall Conference (2017) pp 900-903

Projects

Image Analysis
Using Tensorflow

Copyrighted Designs Classification Based on CNN

Network Mining Using Twitter

Spam Detection with Tweet Analysis

Time Line

  • September 1994

    I was Born!

    I was born in the fall of 1994.
    Since I like birthdays too much, I celebrate for a long time a birthday celebration period for a week near my birthday.

  • 2014

    University entrance
    &
    Selected as Ambassador

    I entered university in 2014. As soon as I became a college student, I was selected as a school ambassador and did many meaningful activities for three years.

  • 2015

    Google Chromcast Specialist
    &
    Microsoft Student Partners

    2015 was a very busy year. This is because Google and SK Networks had to work on Chrome Cast Specialists and MSP from Microsoft. I have accumulated so many memories that I have been very busy.

  • 2018

    University graduation

    Optimization & Knowledge Engineering Lab.

    In January of 2018, I started to study in the optimization and knowledge engineering laboratory. And in February I graduated from university!



  • My Story Continues!

Awards & Scholarship

  • 1st Place - Google Chromecast Specialist (2015)
  • Kwangwoon University Electronic Information Engineering College Excellent Scholarship (2015)
  • Kwangwoon University Software Convergence College Software Excellent scholarship (2017)
  • Encouragement Prize - Kwangwoon University Computer Science and Engineering Department Graduation Exhibition (2017)
  • Best Paper Award by KIIS (2018)