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Dr. jahwan koo

College of Software, Sungkyunkwan University

I received the B.S. and M.S. degrees in information engineering from Sungkyunkwan University (SKKU), South Korea, in 1994 and 1996, respectively. After graduation, for more than five years (from 1997 to 2002), I was a system engineer and infrastructure architect at Korea Information Systems and LG CNS Co., Ltd., Seoul, Korea. After that, I went on to the doctoral degree program and received the Ph.D. degree in information communication engineering at the School of Information and Communication Engineering, SKKU, in 2005. With the help of the advisors (Prof. Jinwook Chung, Prof. Seongjin Ahn, and Prof. Jitae Shin), my research topic was focused into controllable class-based service architecture for quality of service in IP networks. Fortunately, I joined the School of Information and Communication Engineering, SKKU, as a Research Professor in 2006 and was coordinated with HCI research groups (Head: Prof. Hyunseung Choo) for ITRC research project. With the financial support of the National Research Foundation of Korea, I took Post-Doctoral Fellowship in the Computer Science Department, University of Wisconsin-Madison (Advisor: Prof. Suman Banerjee), USA, from 2007 to 2010. I studied adaptive and intelligent next generation transport protocols for heterogeneous networks to improve network performance. After returning home country, I worked for CHAHOO as a Director (from 2010 to 2012), for DaeGyeomIT as a CEO (from 2012 to 2015), and for Geasoft as a Head of Research Center (from 2015 to 2016) in the field of iPhone and Android mobile App development, cloud computing, and big data pipelines, especially big data platform such as Apache Hadoop and Spark. In 2016, I joined SKKU again, as a Research Professor (Advisor: Prof. Ung-mo Kim). I am currently a Visiting Professor in the College of Software, SKKU. My research interests include big data platform, data and text mining, deep learning, and natural language processing as well as computer networking and cloud computing.

[ Computer Networks and Communications / Information Systems / Cloud Computing / Internet of Things / Data Mining / Text Mining / Machine Learning / Deep Learning / Natural Language Processing / Human Computer Interaction / Web and Mobile Technologies / Computer Security ]
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