Kazuo Misue is an Associate Professor of Department of Computer Science, University of Tsukuba, Japan, where he performs research and development on information technology. His research interests include human-computer interaction, information visualization, automatic graph drawing, and supporting human creative activities. He received a BSc and a MSc from Tokyo University of Science in 1984 and 1986. He received a PhD in engineering from the University of Tokyo in 1997. He is a member of the ACM.
Research Interests
Current research topics are the followings:
Visualization of Network Structures: Our aim is to develop visual techniques to help understand the graph structure of networks, especially, small-world networks which have garnered the attention of researchers in a myriad of fields in recent years. [more information]
Development of Informal Drawing Environment: Our aim is to develop a tool to support creative activities using handwriting. The tool has the following features: (1) It is targeted for use in processing diagrams with logical structures. (2) It provides a handwriting input interface. (3) It maintains the handwritten feel of diagrams. (4) It supports creative activities intellectually and actively. [more information]
I have worked on the following topics:
Information Visualization & Graph Drawing: We aimed at treating the figures based on graphs by the computer. We developed automatic drawing techniques of various graphs as fundamental techniques for treating such figures.
Supporting Creative Work: We aimed at supporting human's thinking process by the computer. We applied automatic graph drawing techniques and developed a system which supports method supporting thinking process like the KM method, which is a card-based method for creating ideas and solving problems.
Visual Text Mining: We aimed at analyzing large volume of text data to extract some useful knowledge from it. We developed text mining techniques focusing on visual interface techniques.
Web Document Processing: We aimed at utilizing for business the Web pages which are scattered on the Internet. We developed various processing techniques of Web documents especially efficient crawling techniques of Web pages, and analysis techniques of Web links.
