Lecture by Prof. Koji Koyamada, Kyoto University

March 7, 2019, 11:00 a.m. (CET)

Lecture title: "Visual data science and its applications"

Time: March 7, 2019, 11:00 a.m. (CET)
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Currently, we are focusing on the development of visual analytics systems which use interactive visualization technologies in order to draw a scientific discovery from big data from supercomputer, measurement systems and social networks. We are doing research on advanced visualization technologies which can effectively and efficiently process the big data. The fundamental visual data science is research on systems and related technologies for deriving new discoveries from big data by applying visualization technology. Currently, we are aiming at improving the visualization performance from a comprehensive viewpoint, a heuristic viewpoint, and an empathetic viewpoint in each process of research question asking, hypothesis forming and testing, and social implementation that form the framework of scientific methods. In this talk, we will show our research accomplishments on fused volume rendering in the computational fluid dynamics, causality exploration in Life and Fishery Sciences.

Prof. Koji Koyamada is currently a professor at the Academic Center for Computing and Media Studies, Kyoto University, Japan. His research interest includes modeling & simulation and visualization. He is a member of the Science Council of Japan, a former president of the Visualization Society Japan, and a former president of Japan Society of Simulation Technology. He received the IEMT/IMC outstanding paper award in 1998, the VSJ contribution award in 2009 and the VSJ outstanding paper award in 2010. He received his B.S., M.S. and Ph.D. degrees in electronic engineering from Kyoto University, Japan in 1983, 1985 and 1994, respectively, and worked for IBM Japan from 1985 to 1998. From 1998 to 2001 he was an associate professor at the Iwate Prefectural University, Japan. From 2001 to 2003, he was an associate professor at Kyoto University, Japan.

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