Kiyoon Kim


Undergraduate student in UNIST, Electrical and Computer Engineering Department.
Machine Learning Researcher in EgoVid Inc.
Signal Processing Researcher in AiS Lab.

Find Out More

I've got skills!


I started computer programming when I was 9. I began MFC(C++) Windows programming at age 14 and held a personal website, "sparkware.co.kr". I made a Hair Proportion Analysis algorithm and obtained a patent when I was 17. Now my interests are in Signal Processing and machine learning, doing research on those fields.

"Kiyoon" stands for glowing field. I want to make my field of study glow in the future.

Cirriculum Vitae

History of My Life


  • 2004 (9 years old)

    First Programming

    I started computer programming with Flash ActionScript 2.0.

  • 2010 (15 years old)

    MFC Windows Programming

    I started MFC Windows Programming and constructed my own website, sparkware.co.kr. I released many Windows programs on this website.

  • I finished a project about Hair Proportion Analysis algorithm based on the Maximum Likelihood estimation.

  • 2014- (18 years old-)

    Studying in UNIST, won many contests!

    I am majoring both Electronics and Computer Engineering. I won lots of competitions like Hexathon (supported by Naver), Korea Supercomputing Challenge, and Naver Poster Award. See experience below.

  • 2016- (20 years old)

    Started working as a researcher in UNIST, EgoVid Inc.

    I am currently interested in machine learning. We've visited UC Berkeley for 9 weeks to exchange ideas about making a start-up company. (Article)
    Extreme Low Resolution Activity Recognition Using Siamese Embedding (Thesis)
    We've demonstrated our technologies at CVPR 2017 Expo. (Youtube video)

  • There will
    be more
    story!

Skills and Knowledge:


Deep Learning, Signal Processing, Linux server buildup, Web development, Machine integration, Video editing and filmography, Product design

Languages, Frameworks and Tools:


C ∙ C++ ∙ Python ∙ Linux Bash ∙ MATLAB ∙ TensorFlow / Keras (Machine learning) ∙ MPI (Parallel programming) ∙ CUDA (GPU parallel programming) ∙ Git (Version control) ∙ Docker ∙ Raspberry Pi (IoT Linux) ∙ MFC (Windows programming) ∙ Java ∙ HTML ∙ PHP ∙ MySQL / Maria DB ∙ Flash action script ∙ Processing ∙ NXT Robot C ∙ Xpress Engine(Website) ∙ Wordpress(Website) ∙ LATEX

Experience and Achievements:


Publication - M. S. Ryoo, K. Kim and H. J. Yang, ”Extreme Low Resolution Activity Recognition with Multi-Siamese Embedded Learning, ”AAAI Conference on Artificial Intelligence, New Orleans, Louisiana, February 2018. [acceptance rate: 24.6%]
1st place - Naver UNIST Undergraduate Poster Award
1st place - HeXATHON, UNIST, supported by NAVER
KSC (Korea Supercomputing Challenge) : MPI parallel computing 5th place
Bronze Medal in the National Olympiad for Informatics (KOI, Korea Olympiad in Informatics)
Patent : Hair Percentage Analysis algorithm
UNIST Startup clinic: Smart home app controlling electrical output

Let's Get In Touch!


You're welcome to give me a call or send an email and I will get back to you as soon as possible!

+82-10-5133-5449

Other Links


Personal Use Only


Kiyoon's Cloud : cloud.kiyoon.kim

Kiyoon's Pydio : pydio.kiyoon.kim

Kiyoon's URL Shortener : s.kiyoon.kim

Kiyoon's Git Server : git.kiyoon.kim

Kiyoon's Plex Media Streaming Server : plex.kiyoon.kim

Kiyoon's Emby Media Streaming Server : emby.kiyoon.kim

Kiyoon's Music Streaming Server : music.kiyoon.kim