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.
University of Stuttgart, Powerwall Room, VISUS, cellar
The talk will be transmitted to Konstanz.