포스텍 컴퓨터공학과에 김동우 교수님이 12월1일자로 부임하였습니다.

김동우 교수님은 다양한 기계학습 모형의 개발 및 분석 연구를 진행해왔으며, 이를 소셜 네트워크 분석 및 다양한 데이터에 적용하는 연구를 진행하고 있습니다.

Biography: Dongwoo Kim is an assistant professor in the Department of Computer Science and Engineering at POSTECH, Pohang, South Korea. He completed Ph.D program in School of Computing at Korea Advanced Institute of Science and Technology (KAIST), South Korea, under the supervision of Prof. Alice Oh. He worked as a postdoc at the Australian National University from Jul. 2015. Before joining POSTECH, he worked as a lecturer at the Australian National University from Jan. 2019 to Nov. 2019.

Research Topic: His research aims to understand and analyse the machine learning algorithms including deep neural networks.

* Bayesian inference – variational inference, variational auto encoder, Monte Carlo Markov Chain

* Deep neural network – sequence analysis, interpretable model

* Social media analysis – information diffusion, point process

* Bayesian non-parametrics – Hierarchical Dirichlet process, topic models