Daeun Jung


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Contact me by email : daeun.jung@ewhain.net

My research interest lies primarily in the fields of extracting representative features to help understand the mechanism of learning and get inference better with more emphasis on time series data. I believe there is passing through information, and I could find it from partial data information with data distribution changing. Here are some of my interests:

International Conference

Feature Expansion of Single Dimensional Time Series Data for Machine Learning Classification | 1st author
Traffic Data Classification using Machine Learning Algorithms in SDN Networks | 2nd author
An Iterative Algorithm of Key Feature Selection for Multi-class Classification | 1st author

Domestic Conference

Impact of Input Data Randomness on Training Performance of Autoencoder (Best Awards) | 2nd author
On Improving Network Data Anomaly Detection Performance based on Meta Characteristics | 2nd author
Machine Learning based Algorithm for Small Amount Multi-featured Data in Three Classes | 1st author
Study on Impact of Class Combinations on Performance of Multiple Class Classification | 1st author

Domestic Journal Articles

Survey on Machine Learning Algorithms for SDN/NFV Automation | 2nd author


Carnegie Mellon University, Advisor Alex Hauptmann | Jan 2020-Jul 2020

Ewha Womans University


Research Assistant Scholarship | 2020
Admissions Scholarship(full tuition for one year) | 2019
DEAN’S List | 2015, 2017-2018
National Grant | 2015-2018


Computer: C, C++, Python (Pytorch), R, MATLAB, LaTeX
Languages: English (fluent), Korean (native)