Associate Prof.  Kento Koyama

Education

2012-2013 Exchange program at Department of Biology, University of Munich, Germany
2015 Graduated from Hokkaido University Faculty of Agriculture Department of Agricultural Engineering
2017 Completed master's course at Hokkaido University Graduate School of Agriculture
2019 Completed doctoral course at Hokkaido University Graduate School of Agriculture
 

Overseas research history

From September 31, 2017 to February 28, 2019 Ph.D. student staying at Aristotle University of Thessaloniki (Greece)
 

Research history

April 2017 - March 2019, JSPS Research Fellow DC1
April 2019 - June 2023, Assisstant professor, Hokkaido University
July 2023 - Associate professor, Hokkaido University
 
Current research subjects
Development of predictive model for microbial control
Bayesian statistical modeling
 

Doctoral Thesis title

An Approach for Stochastic Evaluation in Predictive Microbiology: Interpretation of Stochastic Bacterial Inactivation Processes at Population and Single Cell Levels
 

Academic Society

International Association for Food Protection (IAFP)

Publications

Koyama, K., Hokunan, H., Hasegawa, M., Kawamura, S., Koseki, S., Do bacterial cell numbers follow a theoretical Poisson distribution? Comparison of experimentally obtained numbers of single cells with random number generation via computer simulation, 2016, Food microbiology 60, 49–53.
 
 
Koyama, K., Hokunan, H., Hasegawa, M., Kawamura, S., Koseki, S. Modeling Stochastic Variability in the Numbers of Surviving Salmonella enterica, Enterohemorrhagic Escherichia coli, and Listeria monocytogenes Cells at the Single-Cell Level in a Desiccated Environment, 2017, Applied and Environmental Microbiology. 83: e02974-16.
 
Koyama, K., Hokunan, H., Hasegawa, M., Kawamura, S., Koseki, S. Estimation of the probability of bacterial population survival: Development of a probability model to describe the variability in time to inactivation of Salmonella enterica, 2017, Food Microbiology. 68, 121–128.
 
Koyama, K., Abe, H., Kawamura, S., Koseki, S. Stochastic simulation for death probability of bacterial population considering variability in individual cell inactivation time and initial number of cells, 2019, International Journal of Food Microbiology, 290, 125-131.
 
Koyama, K., Abe, H., Kawamura, S., Koseki, S. Calculating stochastic inactivation of individual cells in a bacterial population using variability in individual cell inactivation time and initial cell number, Journal of Theoretical Biology, 469, 172–179.
 
Hokunan, H., Koyama, K., Hasegawa, M., Kawamura, S., Koseki, S. Survival kinetics of Salmonella enterica and enterohemorrhagic Escherichia coli on a plastic surface at low relative humidity and on low water activity foods, 2016, Journal of Food Protection 79, 1680–1692.
 
Abe, H., Koyama, K., Kawamura, S., Koseki, S. Stochastic evaluation of Salmonella enterica lethality during thermal inactivation, 2018, International Journal of Food Microbiology, 285, 129-135.
 
Abe, H., Koyama, K., Kawamura, S., Koseki, S. Stochastic modeling of variability in survival behavior of Bacillus simplex spore population during isothermal inactivation at the single cell level using a Monte Carlo simulation, 2019, Food Microbiology, 82, 436-444.
 

Award

2018　Student travel scholarship award, International Association for Food Protection