Artificial Intelligence for Science and Engineering
Dongyoung Kim
Dongyoung Kim, Ph.D.
Research Fellow
Institute for Basic Science
Curriculum Vitae

Curriculum Vitae

Dongyoung Kim, Ph.D.

Education

Dongyoung Kim, born at 1987.05.26, received his Ph.D. degree in Biomedical Engineering at Texas A&M University in 2016 . He worked as a researcher in Electrical Engineering and Computer Science at the University of Texas at Dallas for two years after his bachelor’s degree at the University of Texas at Dallas in 2012. He also received a Bachelor of Science degree at Kyungpook National University, Daegu, Republic of Korea.

Project

Dongyoung Kim is currently focusing on developing new artificial intelligence (AI) modalities for science and engineering applications. He combined a range of AI technologies including supervised machine learning, deep neural network, generative adversarial network, and unsupervised machine learning to create AI agent performing biomedical research. He was worked on the optimization theory and the image processing in the big data applied for oncology and cell biology.

PREVIOUS WORK

Dongyoung Kim is currently a research fellow at the Institute for Basic Science, Republic of Korea. He worked for Texas A&M University, The University of Southwestern medical center, and the University of Texas at Dallas for oncology, antibody engineering, and biomedical optics. He was a research assistant for the embedded software research center at Kyungpook National University during his bachelor’s degree. He had an internship program for EOS in Australia.

PROJECTS

Artificial Intelligence / supervised & unsupervised machine learning /
deep nenural network / generative adversarial network and more!

AI-powered transmitted light microscopy

Artifical Intelligence

In-slico fluorescnece stains

Generative Adversarial Network

Cancer typing

Deep Neural Network

Finding tumor specific extracellular vesicles

Machine Learning

Urinary track infection diagnostics

Deep Neural Network

Extream rare cancer dignosis

Generative Adversarial Network

In-slico histology stains

Generative Adversarial Network

High definition medical image recovery

Generative Adversarial Network

Rapid medical image acqusition

Generative Adversarial Network

Contact ME!

Email
dongyoung.kim@me.com

Address
Institute for Basic Science
Room 317H
UNIST Advanced Material Research Building 103
50 UNIST-Gil, Ulsan, Republic of Korea, 44919