Department of Informatics, ISEE, Kyushu University
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Department of Information ISEE, Kyushu University
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Academic Staff

Division of Discovery Science

The Division of Discovery Science aims to study the fundamentals of machine discovery, which is a basic method to support the process of various scientific discoveries from an informatics viewpoint. More specifically, it focuses on the basic theory of machine discovery and studies the representation and acquisition of knowledge, data mining, theory of search, knowledge science, information theory, modeling, numerical synthesis, media science, image analysis especially with a wavelet, and pattern recognition with neural networks. Also, it evolves theories to support scientific discoveries with computers, and cultivates the abilities of students to develop the method.

Information Theory, Knowledge Science, Theory of Search, Computational Learning Theory, Inductive Inference and Analogical Reasoning, Machine Discovery, Data Mining, Symbolic and Algebraic Computation, Numerical Synthesis, Media Science, Wavelet, Neural Network, Computer Animation

Staff

Professor
Einoshin Suzuki
works on both theoretical and practical issues of data mining including discovery process, data preprocessing, pattern extraction, information visualization, and evaluation mainly based on machine learning and knowledge engineering methods.
Professor
Eiji Takimoto

Associate Professor
Yoshihiro Okada
Researches on 3D Graphics Software and Technologies for Generation, Edit and Search of 3D Multimedia Contents.
Associate Professor
Daisuke Ikeda
Web/text mining and text processing algorithms, Digital and ubiquitous library using IT technologies such as RFID, and Social information infrastructures implementing safe, sound, secure values and rights digitally.

Assistant Professor
Shigeru Takano

Fast face detection and recognition based on lifting wavelet filters, object recognition for robot vision, and image retrieval.

Division of Foundations of Informatics

The Division of Foundations of Informatics aims to capture the essence of the most important issues of informatics in each era by evolving basic theories based on experiments and research. The current fields of education and research include computational logic, data structures, theory of programming, computational complexity, parallel algorithm, probabilistic algorithm, computer security, computer system architecture, system LSI (SOC), parallel and distributed processing, data science, information retrieval and database, natural language understanding system, complex system, bioinformatics, and so on. It cultivates the abilities of students to investigate various information phenomena as well as to evolve and structure theories.

Computational Logic, Data Structures and Algorithms, Theory of Programming, Computational Complexity, Parallel Algorithm, Probabilistic Algorithm, Computer Security, Computer System Architecture, System LSI, Parallel and Distributed Processing, Data Science, Information Retrieval and Database, Complex System, Bioinformatics

Staff

Professor
Yasuo Kawahara
studies on Dedekind categories, which are an algebraic formalisation of binary relations, and their applications to relational database, program semantics, program verification, and formal concept analysis. Also he is interested in Schröderization of discrete mathematics and behavior analysis of cellular automata and finite transition systems.
Professor
Kazuaki Murakami
The goals of our research lie in designing novel computer systems that effectively exploit the advantages of advanced VLSI technologies. Research activities are focused on superscalar/VLIW microprocessor, energy-aware computing, CMP (chip multiprocessing), reconfigurable computing, run-time optimization, performance estimation for high-performance/embedded systems, supercomputing, and reliable/secure computing.
Professor
Masayuki Takeda
Researches on both theoretical and practical issues of discovering useful information and knowledge in massive, unstructured, and heterogeneous data. Development of string pattern matching and discovery algorithms as key technologies for New Generation Databases.

Associate Professor
Takayoshi Shoudai
Algorithmic graph theory, algorithmic learning theory, computational complexity, and their applications to data mining from semistructured data.
Associate Professor
Koji Inoue
The goals of our research lie in designing novel computer systems that effectively exploit the advantages of advanced VLSI technologies. Research activities are focused on superscalar/VLIW microprocessor, energy-aware computing, CMP (chip multiprocessing), reconfigurable computing, run-time optimization, performance estimation for high-performance/embedded systems, supercomputing, and reliable/secure computing.
Associate Professor
Hideo Bannai
Development of algorithms for string processing, pattern discovery, and knowledge discovery, as well as their applications in bioinformatics.

Assistant Professor
Kensuke Baba
Algorithm for string processing on high performance computer, Verification of security on social infrastructure system.
Assistant Professor
Kohei Hatano
Machine Learning and Computational Learning Theory, especially, Ensemble Learning such as Boosting and Online Prediction.

Division of Global Information Systems (In cooperation with the Research Institute for Information Technology)

The Division of Global Information Systems aims at investigating basic theories of processing bulk and distributed data on a wide area network. Specifically, it conducts education and research on widearea network computing, distributed database, wide-area information retrieving, computer networks, multi-media information processing, and high-reliability servers so that students will be able to construct theories and develop methods to support various scientific studies to be spread in a wider area.

Global Distributed and Parallel Processing, First-Principle Computation, Molecular Simulation, Web Service, Internet, Global Information Retrieval, Semi-Structured Data, Autonomous Agent, Global Distributed System, Ubiquitous System, Grid Computing

Staff

Professor
Mutsumi Aoyagi

Professor
Sachio Hirokawa
Search Engine is a key to find any information from Web as well as database. I have been doing fundamental research in collecting Web data, extracting valuable contents and analyzing them. I'm interested in applying my technology to the real world through a venture company.

Associate Professor
Eisuke Ito
Research and development of global information services. Research topics are user authentication and authorization middleware, web information integration, data mining form massive listings.