Labs in Kyushu University

0 student voices

The lab interprets large-scale data using statistics and optimization.

Professor Hien Duy Nguyen's lab studies computational statistics, which analyzes large volumes of data that accumulate gradually and data too large for ordinary computers to handle. It uses methods such as stochastic optimization and Bayesian inference to deal with the difficulties that come with such data. The lab is also interested in statistical tools for model selection when data are complex, methods for verifying whether that selection is valid, and ways of expressing the confidence that shows how reliable an inference is. The professor also concurrently serves as an Associate Professor at La Trobe University in Australia, and is responsible for building collaboration between the two universities.

#Computational statistics #Stochastic optimization #Bayesian inference

0 student voices

A lab that studies statistics for estimating values for small subdivisions from survey data.

Associate Professor Masayo Hirose's lab studies statistical small area estimation, which estimates characteristic values for each small subdivision from survey data. The lab studies, from both theoretical and applied perspectives, estimation methods that use statistical models to help improve statistical accuracy. In recent years, the importance of EBPM has been recognized, and expectations are also growing for planning based on an understanding of actual conditions in each subdivision. The research keywords are statistical science, small area estimation, and mixed-effects models.

#Statistical science #Small area estimation #Mixed-effects models

0 student voices

A lab that uses Bayesian statistics to understand physical phenomena from measurement data without ambiguity.

The Tokuda Lab aims to establish guiding principles for understanding physical phenomena from measurement data without ambiguity. The lab combines mathematical modeling, which represents data with simple equations, and statistical inference, which selects models in light of the data. While exploring the mathematics of Bayesian statistics as the foundation, the lab also conducts joint research with researchers in various sciences and in industry. The lab is recruiting fourth-year students from the Department of Mathematics, Faculty of Science who wish to join, as well as incoming graduate students of the Graduate School of Mathematics and the Joint Graduate School of Mathematics for Innovation.

#Bayesian statistics #Uncertainty quantification #Mathematical modeling

0 student voices

This is the lab of Professor Fumikazu Sato at the Institute of Mathematics for Industry.

Professor Fumikazu Sato is a Professor in the Liaison Strategy Division of the Institute of Mathematics for Industry. Professor Sato also holds a concurrent faculty appointment in the Department of Mathematics, Faculty of Science. As a social contribution activity, Professor Sato serves as a technical advisor (research guidance) to companies.

0 student voices

The lab explores the singular behavior of differential equations through dynamical systems theory and numerical computation.

The Matsue Lab studies the properties of "strange" and "singular" behavior that arises in differential equations, using dynamical systems theory and numerical analysis. The research is grounded in applied mathematics: dynamical systems theory, differential equations, and numerical analysis (especially verified numerical computation). The lab focuses mainly on finite-time singularities, such as solutions of differential equations blowing up in finite time, and also tackles problems that originate in combustion and energy issues. Prof. Matsue also serves as a WPI Professor at the International Institute for Carbon-Neutral Energy Research at Kyushu University.

#Dynamical systems #Verified numerical computation #Finite-time singularities

0 student voices

The lab works on making AI that classifies time series data interpretable.

Prof. Yamaguchi lists explainable AI (XAI), interpretability, machine learning, and time series data mining as research topics. Prof. Yamaguchi is a Professor in the Liaison Strategy Division at the Institute of Mathematics for Industry, Kyushu University. In the papers listed in the researcher profile, the work deals with AI that classifies time series data, and with methods that let people interpret trained classifiers.

#Explainable AI (XAI) #Machine learning #Time series data mining

0 student voices

The lab studies social mathematics, using mathematical optimization to design the mechanisms of society.

Associate Professor Kira's lab specializes in mathematical optimization and studies the theory of dynamic programming and its applications. The lab is interested in problems that require repeated decision-making and problems that involve uncertainty. It also works on social mathematics, which uses mathematical techniques such as optimization and game theory to design fair and widely accepted systems and policies. Associate Professor Kira has developed technologies in collaboration with practitioners in the field, for example on childcare center admission allocation and joint transportation matching.

#Mathematical social science #Mathematical optimization #Dynamic programming

0 student voices

The lab mathematically investigates numerical methods for partial differential equations.

Associate Professor Daisuke Tagami's lab works in applied mathematics and computational mechanics. The lab is interested in developing methods for solving partial differential equations numerically, estimating their errors, and applying them to real-world problems. Specifically, it works on numerical analysis of particle methods, building large-scale numerical methods for electromagnetic field problems, and numerical analysis of viscoelastic flow problems.

#Numerical analysis #Particle methods #Error analysis

0 student voices

The lab explores the behavior of materials and molecules using partial differential equations and the calculus of variations.

The Partial Differential Equations and Calculus of Variations Lab investigates problems in elasticity theory and functional materials, building on partial differential equations and vector-valued calculus of variations. Its research includes mathematically modeling defects that arise in crystal lattices and using machine learning to study the properties of molecules. The lab also studies anomalies that appear in blockchain transactions. Professor Pierluigi Cesana is also a faculty member of the Department of Mathematics in the Graduate School of Mathematics and of the Graduate School of Mathematics for Innovation.

#Partial differential equations #Calculus of variations #Graphene

0 student voices

The lab mathematically studies cryptography that is considered hard to break even with quantum computers.

Associate Professor Yasuhiko Ikematsu's lab studies the development of post-quantum cryptography, which is considered hard to break even with quantum computers. It is particularly interested in multivariate polynomial cryptography, which is built on the hardness of solving systems of multivariate quadratic equations. Although multivariate polynomial cryptography is considered a strong candidate, it faces challenges: its public keys are large, and analysis using Gröbner bases is insufficient. The lab aims to resolve these challenges. The lab's website describes it as studying number theory and cryptography.

#Post-quantum cryptography #Multivariate public key cryptography #Number theory