九州大学 大学院 システム生命科学府

Division of Bioinformatics

Contents

Division of Bioinformatics

Bioinformatics is an interdisciplinary research field of biological and information sciences that was introduced during the genome project. In order to master the genome and its applications to medical fields, we need not only the basic biological approaches, but also information-oriented models and applications from basic to advanced levels. This research field focuses on education and research that enable students to analyze subjects from the genome to the basic principles of life on the basis of information theory and various types of informatics. For this purpose, our program provides graduates with cutting-edge knowledge about measurement theory, mathematical science, statistics, basic informatics, database, algorithms, machine learning, bioinformatics, neuroscience, and their applications to biomedical sciences.

>>> Data Mining and Bioinformatics
>>> Biomathematical Science
>>> Bioelectronics
>>> Gene Expression Control
>>> Biological information systems
>>> Neuroimaging and Neuroinformatics
>>> Cognitive Neuroscience

■Data Mining and Bioinformatics

suzuki

Professor Einoshin Suzuki

Department of Informatics
Faculty of Information Science and Electrical Engineering
Ito campus

E-mail:
URL:http://www.i.kyushu-u.ac.jp/~suzuki/suzuki-j.html

Data mining is a research field for discovering potentially useful and comprehensible patterns from massive data in innovative ways. We are working on various problems of data mining such as data processing (e.g., data squashing, data structures), pattern discovery (e.g., various exceptions and rules), pattern interpretation (e.g., visualization, human factors), and problem setting, from theories to applications, which includes swarm robotics. Our academic background is based on machine learning, which aims to develop software that will improve performance, and facilitate ” discovery science,” which regards the process of discovery as a scientific target.

Osamu Maruyama 2015

Associate Professor Osamu Maruyama

Department of Mathematical Sciences
Faculty of Mathematics
Ito campus

E-mail:
URL:http://imi.kyushu-u.ac.jp/~om/

I’m interested in developing efficient algorithms and softwares for prediction, inference, knowledge discovery and so on. Currently, target input data are biological network data, including protein-protein interaction networks. For those data sets, I’m designing methods based statistical machine learning approaches.

■Biomathematical Science

uchida-web 2015

Professor Seiichi Uchida

Department of Advanced Information Technology
Faculty of Information Science and Electrical Engineering
Ito campus

E-mail:
URL:http://human.ait.kyushu-u.ac.jp

Our research topics include: image/video processing, signal processing, pattern recognition, activity recognition, optimization techniques, and searching and indexing technologies for multidimensional database.

Professor Hiroki Masuda

Department of Mathematical Sciences,
Faculty of Mathematics
Ito campus

E-mail:
URL:http://www2.math.kyushu-u.ac.jp/~hiroki/hmhp.html/

Many natural, life, and social phenomena randomly vary along time; for example, biological molecule movement, noise-contaminated biosignals, etc. My current research object is to set up bases for statistical tools for modeling and analysis of large data stemming from time-varying vital phenomena. Having an appropriate statistical methodology in hand, we can extract and quantify valuable information in practical manner with mathematical reasoning, based on which we can make many kinds of decisions. Major themes include statistical modeling and inference concerning stochastic-process models depending on unknown parameters: more concretely, parameter estimation, construction of a predictive distribution, quantitative assessment of a model, and so on. Recently, I am also working on a project for developing a package for implementing statistical inference for stochastic differential equation models.

■Bioelectronics

tokou

Professor Kiyoshi Toko

Department of Electronics,
Faculty of Information Science and Electrical Engineering
Ito campus

E-mail:
URL:http://ultrabio.ed.kyushu-u.ac.jp/

Our laboratory studies application of superior biological functions to electronic devices, and as a results, succeeded in development of a taste sensor first in the world. We make top-level researches by integrating biology, nanotechnology and ICT (Information Communication Technology). We develop intelligent materials and functional devices by clarifying processes from microscopic stages such as molecular events to microscopic stages such as various functions appearing in life systems.

hayashi-2

Professor Kenshi Hayashi

Department of Electronics,
Faculty of Information Science and Electrical Engineering (Ito campus

E-mail:
URL:http://ultrabio.ed.kyushu-u.ac.jp/

Our laboratory specializes in biomimetic sensory technology such as taste and odor sensing. We develop highly sensitive and highly functional sensory devices using organic bioelectronic materials. Our sensors are based on surface science, nanotechnology, molecular informatics, Kansei engineering, bioelectronics and information & communication technology. Our research and the resulting devices and systems can be applied to taste evaluation, odor evaluation, highly sensitive explosive material detection, illegal drug detection and various medical diagnostics.

■Gene Expression Control

tashiro

Associate Professor Kosuke Tashiro

epartment of Genetic Resources Technology, Faculty of Agriculture (Hakozaki Campus

E-mail:
URL:http://www.agr.kyushu-u.ac.jp/lab/mogt/index.html

Regulatory networks exist in organisms and function in the maintenance, adaptation and development of life. We focus on the transcriptional regulation, the first step of the gene regulatory circuit and study the regulatory network in cells and in multi-cellular organization. Our Main theme is: analysis of gene regulatory networks in the development of animals and in cellular differentiation, identification of gene regulatory networks in strawberries, development of systems for analysis of environmental microorganisms, and microorganism genome structure.

■Biological Information Systems

okamoto

Professor Masahiro Okamoto

Department of Bioscience and Biotechnology, Faculty of Agriculture (Hospital Campus

E-mail:
URL:http://www.brs.kyushu-u.ac.jp/~okahon/

Control mechanisms or systems that realize the biological functions in the cell are analyzed by using informational technology from systems biology, such as system identification, system analysis, system control and system design. We focus on: 1) the development of inferred engines of genetic interactions in large scale genetic networks 2) the development of Windows-based nonlinear reaction network simulations 3) the development of an efficient large scale numerical optimization method through the use of evolutionary algorithms and 4) the design of a bioinspired routing algorithm mimicking the enzymatic feedback mechanism in cells

hanai

Associate Professor Taizo Hanai

Department of Bioscience and Biotechnology, Faculty of Agriculture (Hospital Campus

E-mail:
URL:http://www.brs.kyushu-u.ac.jp/~taizo/

Our research focus is on systems biology, synthetic biology, bioinformatics and their application to medical and bioengineering fields. Our approach to this research is to use both theoretical and experimental methods. Now we are concentrating on 1) the improvement of bioalcohol production through metabolic engineering, 2) the construction of an artificial gene network through synthetic biology and 3) system biology for medical applications.

■euroimaging and Neuroinformatics

iramina2

Professor Keiji Iramina

大Department of Informatics Faculty of Information Science and Electrical Engineering (Ito campus

E-mail:
URL:http://bie.inf.kyushu-u.ac.jp

Our laboratory specializes in non-invasive functional brain imaging, which includes the measurement of biomagnetic fields (MEG), electroencephalograph (EEG), near-infrared spectroscopy (NIRS) and transcranial magnetic stimulation (TMS). We develop, integrate, and apply new ideas through innovative interdisciplinary research. The elucidation of the mechanisms of brain function is one of the foundations for the life sciences; it can be applied to almost all of its fields. In our studies we aim to obtain a deep understanding of brain information processing, and to apply the research results to life sciences, medicine, welfare and education.

tsuyoshi_okamoto

Associate Professor Tsuyoshi Okamoto

Faculty of Arts and Science (Hospital campus

E-mail:
URL:http://www.artsci.kyushu-u.ac.jp/~okamoto/index.en.html

How do our brains respond to and interpret external stimuli ? This is the main theme of our study. To clarify the mechanisms of sensory information processing in the brain (especially, vision, olfaction, and warmth), we use three different scientific approaches: experiments (electroencephalogram, magnetoencephalogram, psychophysical measure, etc.), data analyses (waveform analysis, image analysis, statistical analysis, etc.), and theories (mathematical model, computational model, numerical simulation, etc.). Recently, we proposed a new hypothesis about functional architecture in primary visual cortex (V1) by using computation simulation based on the experimental data from monkey V1.

■Cognitive Neuroscience

Lauwereyns

Professor Jan Lauwereyns

Faculty of Arts and Science (Hospital campus

E-mail:
URL:https://dubitopress.blogspot.jp

One of the primary goals of cognitive neuroscience is to develop linking propositions between perception and action. Confronted with multiple sources of information, we have to choose one of several alternative courses of action. To study the brain mechanisms for decision-making, we use a multidisciplinary approach, including neurophysiology, psychopharmacology, and behavioral analysis. In behavioral experiments we aim to characterize the cognitive processes of perceptual sensitivity and response bias. In neurophysiological and psychopharmacological experiments, we investigate how these cognitive processes are brought about in the brain.

Graduate School of SystemsLife Sciences Kyushu University

Grad. Sch. Sys. Life Sci.
Kyushu University
744 Motooka
Nishi-ku 819-0395
Japan

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