Research topics: text mining, deep learning, time series prediction, novelty detection, object detection

University College Student Project Competition: "An approach to improve the optical filter for bankbook information recognition." Koras, 2014.

Donghwa Kim , Pilsung Kang, Junhong Kim, Czang Yeob Kim, Jong-ha Lee, Sangil Suh, Moon-Soo Lee*. (2019). Machine learning classification of first-onset drug-naïve MDD using structural MRI.

Woosik Yang, Donghwa Kim , Hyungseok Kim, Seoha Song and Pilsung Kang*. (2019). Content Viewcount Forecasting and Hot Contents Identification for Dynamic Contents Caching in CDN Environment.

Donghwa Kim , Deokseong Seo, Suhyoun Cho and Pilsung Kang*. (2019). Multi-Co-Training for document classiffcation based on different document representations: TF-IDF, LDA and Doc2Vec.

Young Joon Park, Hyung Seok Kim, Hankyu Lee, Donghwa Kim , Seoung Bum Kim, and Pilsung Kang*. (2017). A deep learning-based sports player evaluation model based on game statistics and news articles.

Donghwa Kim, Deokseong Seo, Suhyoun Cho, Pilsung Kang*. (2017) Multi-co-training for Document Classification using Multi-views.

양우식, 김동화, 김형석, 송서하, 강필성*. (2018). 예측 알고리즘 Prophet을 활용한 CDN환경에서의 콘텐츠 캐싱 기법 연구.

김동화, 김준홍, 김창엽, 강필성*. (2018). Structual MRI 이용한 청소년기 주요 우울 장애 분류 모델.

김준홍, 김동화, 손규빈, 강필성*. (2018). Short-long term wafer bin map outlier detection based on convolution auto-encoder and isolation forest.

김형석, 김동화, 이기창, 강필성*. (2018). 뉴스기사와 주가 데이터를 활용한 종목 추천 knowledge base 구축 방법론

김동화, 서덕성, 조수현, 강필성*. (2016). Multi-Co-Training을 활용한 문서 분류.

김동화, 서덕성, 조수현, 강필성*. (2016). 나이브베이즈 분류기 기반의 협동학습을 활용한 문서 분류.

김형석, 박영준, 이한규, 김동화, 김보섭, 류나현, 강필성*, 김성범. (2015). 야구 기사와 선수 기록을 활용한 딥러닝 기반 극성 판별 모델의 개발.

  Python

  R

  Spark with Scalar

  MS SQL & My SQL

  Matlab

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