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Hiroyuki Masuyama
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Email:
masuyama[at]tmu.ac.jp
Degree:
Doctor of Informatics (Kyoto University)
Thesis: Studies on Algorithmic Analysis of Queues with Batch Markovian Arrival Streams
Supervisor: Tetsuya Takine (Professor, Graduate School of Engineering, Osaka University)
Affiliation:
Tokyo Metropolitan University
Faculty of Economics and Business Administration/Graduate School of Management
Work experience:
2021. 4 Professor, Graduate School of Management, Tokyo Metropolitan University
2014. 4 Associate Professor, Dept. Systems Science, Graduate School of Informatics, Kyoto Univ.
2004. 2 Assistant Professor, Dept. Systems Science, Graduate School of Informatics, Kyoto Univ.
Education:
2004. 1 D. Informatics (Dept. Applied Mathematics and Physics, Graduate School of Informatics, Kyoto Univ.)
2001. 3 M. Informatics (Dept. Applied Mathematics and Physics, Graduate School of Informatics, Kyoto Univ.)
1999. 3 B. Engineering (Undergraduate School of Informatics and Mathematical Science, Faculty of Engineering, Kyoto Univ.)
Expertise:
  Management science, Applied probability, Markov analysis, Distribution theory
Affiliated academic societies:
Fellow of The Operations Research Society of Japan (ORSJ)
Award:
The Research Award from ORSJ (2017)
The Best Paper Award of the Year (2014)
The Best Paper Award for Young Researchers (2007)

Biography:
Hiroyuki Masuyama was born in Kyoto, Japan, on December 26, 1975. He received his Bachelor of Engineering degree from Faculty of Engineering, Kyoto University, Japan in 1999. He also received his Master and Doctor of Informatics degrees from Graduate School of Informatics, Kyoto University, Kyoto, Japan in 2001 and 2004, respectively. In February 2004, he joined the Department of Systems Science, Graduate School of Informatics, Kyoto University as an Assistant Professor, and was an Associate Professor at the same department from April 2014 to March 2021. Since April 2021, he has been a Professor at Faculty of Economics and Business Administration/Graduate School of Management, Tokyo Metropolitan University.

His current research interests include management science, applied probability, and distribution theory; especially, ergodicity analysis, asymptotic analysis, and numerical methods for Markov chains. He received the Best Paper Award for Young Researchers (2007), the Best Paper Award of the Year (2014), and the Research Award (2017) from the Operations Research Society of Japan.