Faculty Information Details

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All data is as of December 05, 2022.

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Mukaidani Hiroaki
Professor
Affiliation Graduate School of Advanced Science and Engineering
Discipline Informatics
Academic Degrees Hiroshima University Dr. Eng. (Ph.D.)
Hiroshima University Master of Engineering
Research Fields Informatics; Principles of Informatics; Mathematical informatics
Research Keywords Systems Theory / Dynamic Games / Numerical Analysis / Large-Scale Network Systems / Mathematics Education
Comments Hiroaki Mukaidani received his B.S. in Integrated Arts and Sciences from Hiroshima University in 1992 and his M.Eng. and Dr.Eng. degrees in Information Engineering form Hiroshima University in 1994 and 1997, respectively. In April 1998, he joined the Faculty of Information Science at Hiroshima City University as a Research Associate. Since April 2002, he has been with the Graduate School of Education at Hiroshima University as an Assistant Professor and Associate Professor. He became a Full Professor at the Institute of Engineering at Hiroshima University in April 2012. He spent 10 months (from November 2007 to September 2008) as a research fellow at the Department of Electrical and Computer Engineering (ECE), University of Waterloo. His research interests include robust control, dynamic games, and the application of stochastic systems. Dr. Mukaidani is a member of the Institute of Electrical and Electronic Engineers (IEEE).
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Past media appearances
Topic Data Science
Information Technology
Mathematics
SDGs 7 Affordable and clean energy 9 Industry, innovation, infrastructure 11 Sustainable cities and communities
Educational Programs [Bachelor Degree Program] School of Informatics and Data Science : Department of Informatics and Data Science : Data Science Program
[Master's Program] Graduate School of Advanced Science and Engineering : Division of Advanced Science and Engineering : Informatics and Data Science Program
[Doctoral Program] Graduate School of Advanced Science and Engineering : Division of Advanced Science and Engineering : Informatics and Data Science Program
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