Environmental & Mathematical SciencesDepartments and Academic Staff
Department of Environmental and Mathematical Sciences
To improve the quality of life and create an environment in which human beings live in harmony with nature, it is necessary to evaluate the effects of human activities and predict the results under various conditions. To do this, mathematical and statistical models along with computing techniques play essential roles. The main purpose of this department is to be found in the research and education of mathematical and statistical sciences, with an emphasis on their application to environmental problems. The department provides students with fundamental knowledge of mathematics, statistics and computer science, and educates them to be mathematical scientists with special application to environmental analysis.
Education and Research Field
Applied Mathematics: Recently, applied mathematics has gained growing importance in order to analyze and estimate mathematical models and statistical models for environmental problems. Such fields as discrete optimization and combinatorics, mathematical modeling via algebras, topology and various equations, and the theory of mathematical systems, including linear and nonlinear programming and stochastic algorithm, provide effective theory for solving extensive problems involving traffic affairs, environmental pollution and destruction of ecological systems. The department pursues research and education of applied discrete mathematics, mathematical modeling and system mathematical science, which are applicable to existing problems.
Mathematics for Environmental Studies: In order to solve our environmental problems, which cover a wide area including ecological systems, weather and ocean, it is effective to quantitize and analyze these systems as mathematical models. Thus development of the technique to construct, apply and estimate the mathematical models is of great importance. The department pursues such researches as mathematical modeling of environmental problems, their analysis by using the theory of mathematical science and computer simulation, and evaluation of validity of the models. The educational policy is to foster specialists of environmental problems who are versed in theory of mathematical science, especially differential equations, and computer simulation.
Statistics for Environmental Studies: To evaluate quantitatively the effects of human activities on the environment, it is necessary to collect many kinds and large amounts of data and analyze them properly. Cause-effect relationships are not clear in environmental data because usually observed data contain random variations and there exist confounding factors. In order to find proper models under such conditions it is necessary to apply complex statistical models with careful diagnostic checking by using computers. The department offers studies of theory and application of statistical analysis, environmental statistical modeling and statistical computing.
Staff and Research Projects
（As of Apr 1, 2018）
|Applied Mathematics||Assoc. Prof.
|Theory of multiplicities, graded rings and integral closure of modules / Graduate school of environmental and life science|
|Developing and analyzing stochastic models in environmental and life science / Graduate school of environmental and life science|
|Mathematical Analysis for Environmental Studies||Prof.
|Mathematical models for ecology and life sciences and related mathematical methods / Graduate school of environmental and life science|
|Mathematical analysis and its applications to mathematical biology / Graduate school of environmental and life science|
|Applied Numerical Analysis||Prof.
|Computational science and numerical analysis for understanding turbulent flow phenomena in environmental and life science / Graduate school of environmental and life science|
|Mathematical understanding and descriptions of hierarchical structures in fluid systems / Graduate school of environmental and life science|
|Statistical modeling and computing for analyzing data in environmental and life science / Graduate school of environmental and life science|
|Statistical data analysis for environmental and life sciences / Graduate school of environmental and life science|
|Design and Analysis of Environmental Survey and Experiments||Prof.
|Statistical approaches for spatio-temporal data / Graduate school of environmental and life science|
|Detection of spatial, temporal and space-time clustering for environmental and life science data / Graduate school of environmental and life science|