Kyushu University Joint Graduate School of Mathematics for Innovation

Young Mentors

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About “Young Mentors”

 Young Mentors (Post-doctoral researchers) who are of the same generation as the students provide detailed care that cannot be covered by other mentors, and support mainly in “Basic Mathematical Modeling” and “Advanced Mathematical Modeling.”

 Post-doctoral researchers in the fields of Mathematics, Information Science and Electrical Engineering, and Economic Engineering, whose specialization is close to the student, will be assigned to each student, and provide consultation on study and research.

Members

  • KATAGIRI Yu

    Non-archimedean analysis, non-archimedean functional analysis, distributions.

    I study number theory, especially, non-archimedean analysis. Currently, I am interested in the p-adic Fourier theory, which describes the relation between p-adic distributions and some rigid analytic functions and has applications to construction of p-adic L – functions.

  • KUMABE Satoshi

    Research interest: Number Theory, Hypergeometric functions

    I study number theory. My research interests lie in analogous functions of hypergeometric functions on finite and p-adic fields and their applications to problems involving the zeta and L-functions of algebraic varieties. Moreover, I am a graduate of this program. Throughout the mathematical modeling course, I have also worked on a forest transition model via stochastic differential equations, which is still ongoing.

  • Sukma Wahyu Fitriani

    Plasma Science and Engineering • Plasma Applications

    The 4th state of matter so-called plasma is an ionized gas that contains electrons, ions, atoms, molecules, and radicals. Plasma has been widely used in several applications including materials processing, medical, and agricultural. My research field is atmospheric pressure plasma for materials processing. Recently, I have been developing atmospheric pressure plasma for medical and agricultural applications as well as studying its electrical and physical properties. Also, I am interested in modeling and simulation of this plasma.

  • Cheng Yuzhong

    Probability and Statistics, Deep Learning

    My work sits at the intersection of probability theory, statistics, and deep learning. At the moment, I focus on statistical inference for stochastic differential equations (SDEs)—parameter estimation, high-frequency sampling, asymptotic theory. I am also interested in deep-learning-based estimation methods and limit theorems of interacting particle systems.

  • Activities of “Young Mentors”

    Mathematics for Innovation Cafe

    The “Mathematics for Innovation Cafe (MfI Cafe)” is our original activity designed to deepen exchanges by introducing research on mathematics in an easy-to-understand way and by exchanging opinions from a variety of perspectives with the participation of program members and graduate students, as well as undergraduate students interested in the program.

     In the fiscal year 2024, we also held a Joint MfI Café with multiple young mentors to promote interdisciplinary exchange.

    Mathematics for Innovation Seminar

    The “Mathematics for Innovation Seminar (MfI Seminar)” is a seminar that would be presented by mathematicians who are working on applications in other fields or non-mathematicians who are applying mathematics. The program is organized by the students of the JGMI and supported by Young Mentors. The students select candidates and request them to give lectures, and are in charge of preparing the venue and hosting the event.

    For the details, click Here