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Foundations of Informatics

FUJII Kaito (Assistant Professor)

fujiik (at)

Research Keywords : Algorithms, Machine Learning, Combinatorial Optimization

Guidance Research
Education and research supervision on the theory and application of combinatorial optimization. In particular, our research focus includes submodular optimization and its applications to machine learning, such as active learning or compressed sensing, and combinatorial optimization frameworks for decision-making under uncertainty, such as adaptive optimization or optimal stopping theory.

HIRAHARA Shuichi (Associate Professor)

s_hirahara (at)

Research Keywords : P versus NP Problem, Kolmogorov Complexity, Minimum Circuit Size Problem, Pseudorandomness, Computational Complexity Theory

Guidance Research
Computational Complexity Theory has many open questions, such as the P versus NP problem. We aim at understanding the limits of computations. Our research topics include studying the minimum circuit size problem; derandomization and pseudorandomness (the P versus BPP problem), worst-case versus average-case complexity, cryptography, computational learning theory.

KAWARABAYASHI Ken-ichi (Professor)

k_keniti (at)

Research Keywords : Algorithms, Graph Theory, Heoretical Computer Science, Discrete Math

Guidance Research WEB
Education and research supervision on Discrete Math with special emphasis on Structural Graph Theory and Graph Minor Theory.
We also consider their algorithmic applications. Most likely, the following topics will be covered.
1. Perfect graphs and its applications.
2. The Four Color Theorem and its generalization.
3. Structural Graph Theory.
4. Disjoint paths problem and Network
5. Matching theory and its applications
6. Graph Minor Theory and its applications.

KISHIDA Masako (Associate Professor)

kishida (at)

Research Keywords : Control theory, Applied mathematics, Deep learning, Stochastic control, Continuous optimization

Guidance Research
Students are welcome who are interested in the broad area of control theory and its related areas in applied mathematics such as optimization and linear algebra. My research aims at developing theories and algorithms for systems that are not well-addressed by existing methods. The focus is placed on the systems theory that takes uncertainties into account for the applications to complex systems and networked systems.

MATSUMOTO Keiji (Associate Professor)

keiji (at)

Research Keywords : Entanglement, Information theory, Statistics, Quantum information, Quantum computation

Guidance Research
It is well-known that quantum mechanical view of the world is quite conter-intuitive.
Indeed, it contradicts with many basic concepts which information sciences are based on. Therefore, it is necessary to built new information sciences to be consistent with quantum mechanics, which is fundamental law of the nature. Recently, it has been found out that quantum information processing has wide range of application to technologically important problems, such as integer factoring, secure communication and so on. In this lecture, starting from basic concepts, we review the recent developments of the field. The audiences of the lecuture are expected to be familiar with elementary linear algebra, probability, and information theory, but no background in quantum mechanics.

PHILIP Wellnitz (Assistant Professor, Principles of Informatics Research Division)

wellnitz (at)

Research Keywords : Algorithms, Counting Problems, Algorithms on Strings, Fine-grained Complexity Theory

Guidance Research
We study fundamental problems for which we aim to design algorithms that are as efficient as possible. To that end, we try to gain new structural insights into our problems at hand, which we then either turn into faster algorithms or mathematical reasons why no faster algorithms may exist. Our interest includes, but is not limited to, finding and counting patterns in various types of data and related problems, such as finding one string approximately in another or counting (small) subgraphs of a graph.

SOEDA Akihito (Associate Professor)

soeda (at)

Research Keywords : Quantum algorithms, Quantum information theory

Guidance Research
The physical systems assumed in the standard models of information processing obey the “classical” theory of physics, but physical systems in fact obey quantum theory. Recently, information processing exploiting quantum properties is being extensively investigated, suggesting that quantum information processing (QIP) may substantially outperform the standard information processing. Current QIP technologies, however, still do not fulfill the requirements imposed by the quantum algorithms proposed so far. QIP technologies are constantly advancing, which simultaneously extends our QIP possibilities. We seek to incorporate these advances and investigate and design quantum algorithms from their foundations to address practically relevant problems.

TATSUTA Makoto (Professor)

tatsuta (at)

Research Keywords : Software verification, Programming logic, Lambda calculus, Type theory, Constructive logic

Guidance Research
Foundational theory of computer science related to mathematical logic, and mathematical logic for computer science are studied.
1. Type theory (higher order type theory, type inference, Curry-Howard isomorphism, inductive types)
2. Constructive logic (constructive set theory, inductive definitions, realizability interpretations, linear logic)
3. Theory of programs (program verification, program synthesis, program transformation, lambda-calculus)

UNO Takeaki (Professor)

uno (at)

Research Keywords : Algorithms, Data engineering, Data mining, Optimization, Computation

Guidance Research
The main topic of the seminar is theoretical fundamentals of discrete algorithms. The sub topics are time and space complexities, extension to general problems of discrete algorithms, especially, fundamental algorithms appearing in optimization algorithms. Studies on efficient applications for practical systems are also researched. The goal is to have knowledge and techniques of general algorithms, not for minor area, and to be able to pertinently research whatever algorithmic problems.

YOSHIDA Yuichi (Professor)

yyoshida (at)

Research Keywords : Algorithms, Theoretical Computer Science (Combinatorial) Optimizations

Guidance Research
Education and research supervision on theoretically and/or practically efficient algorithms. In particular, our research focus includes (but not limited to) theory and applications of “sublinear algorithms” such as property testing, streaming algorithms, compressed sensing, and theoretical analysis and the development of efficient algorithms, with the theory lens, of optimization problems that arise in practical areas such as machine learning.

Information Infrastructure Science

AIDA Kento (Professor)

aida (at)

Research Keywords : Internet of Things (IoT), Cloud Computing, Parallel and Distributed Computing

Guidance Research
The Aida Laboratory is a research group devoted to the study of parallel and distributed computing systems. Our goal is to develop fundamental/practical technologies to effectively utilize IT resources in parallel and distributed computing platforms, including clusters, grids and a clouds.

FUKUDA Kensuke (Professor)

kensuke (at)

Research Keywords : Internet protocol, Traffic measurement, Network science

Guidance Research
The research area includes an efficient Internet architecture based on the statistical aspect of temporal and spatial dynamics appeared in the Internet.
1. The research area includes an efficient Internet architecture based on the statistical aspect of temporal and spatial dynamics appeared in the Internet.
2. Statistical properties of Internet topology and efficiency of information flows on the network
3. A novel Internet architecture based on statistical properties of the Internet.

GOSHIMA Masahiro (Professor)

goshima (at)

Research Keywords : Computer Architecture, Digital Circuit, Microarchitecture

Guidance Research
Continuous speeding-up of computers provides the basis for developmentof the information society. In order to extend this speeding-up of computers to the future, we have to solve various problems. The research theme of this laboratory is computer architecture. The research area includes architecture of computing systems with a focus on processor architecture, and digital circuit as the basis of computer architecture

ISHIKAWA Yutaka (Professor)

yutaka_ishikawa (at)

Research Keywords : Operating System, System Software, Parallel and Distributed Processing, Communication and File IO middleware

Guidance Research WEB
The system software stack, such as operating system, communication and file I/O middleware, have become fatten and fatten. We review such a system software stack in order to build the next-generation system software for smart devices and server systems. The new system software stack will be constructively designed from the aspect of security and energy consumption.

JI Yusheng (Professor, Information Systems Architecture Science Research Division)

kei (at)

Research Keywords : Resource management, Mobile computing

Guidance Research WEB
Education and research supervision on theory, principle and methodology of communication systems. Research topics can be the problems of design, modeling, and evaluation of the control disciplines, protocols, and management schemes related to a diversity of network and switching architectures, transmission media, and service requirements. Through specific doctoral research projects, such as network traffic analysis and control, resource management in high-speed optical networks, quality of service provisioning in the next generation wireless communication, etc., students are expected to obtain the insight understanding of communication systems and the ability of problem solving.

KANEKO Megumi (Professor)

megkaneko (at)

Research Keywords : Internet-of-Things (IoT) wireless systems, Mobile Networks, Wireless communications

Guidance Research WEB
With the rapidly increasing number of mobile users and data traffic, current mobile communication systems will soon be unable to support the exponentially growing amount of wireless data. One of the main challenges of next generation wireless communication systems will be to satisfy increasingly diverse and stringent Quality of Service (QoS) requirements. We address (but not limited to) the following research issues: radio resource allocation and interference coordination for Cloud Radio Access Networks (CRAN), protocol design for jointly guaranteeing high system throughput and user fairness, spectral/energy-efficient wireless access for M2M/IoT systems.

KOIBUCHI Michihiro (Professor)

koibuchi (at)

Research Keywords : System Area Networks, Network-on-Chip, High-Performance Computing, Parallel computers, Interconnection networks

Guidance Research
The research areas include parallel and distributed computer systems, such as system-on-a-chip (SoC), on-chip multiprocessors, PC clusters, or super computers. Since these systems are characterized by interconnection networks that connect computation logic and memory, I have recently focused on their network architecture including topology, routing, switching technique, and router architecture.

KURIMOTO Takashi (Professor)

tkurimoto (at)

Research Keywords : Network node architecture, Network protocol

Guidance Research
To realize an advanced and sophisticated information network, it is required to develop the various kinds of evolved network technology and network architecture. My research activity is focused on the network protocol, network node architecture and network node implementation technology ensuring the next generation network. Also, I work on research for the virtual network technique to create a new network service flexibly.

SATO Hiroyuki (Professor)

schuko (at)

Research Keywords : Internet Trust, Decentralized Autonomous Network

Guidance Research
Internet trust is defined as a fundamental assumption for the secure operations of the Internet, and its importance is increasing. Internet trust is provided as a technology that includes digital identity management and trust services. In addition, it is strongly required to provide Internet trust for decentralized autonomous networks that are considered to be essentially important for the next-generation Internet, taking into account non-trivial communication environments such as IoT networks and blockchains that are currently increasing their presence, and to analyze their strength. From these perspectives, research guidance is provided on developing new perspectives and methodologies for Internet trust.

TAKAKURA Hiroki (Professor)

takakura (at)

Research Keywords : Cyber Security, Secure Networking, Data mining, High Performance Network

Guidance Research WEB
Our research focuses on various types of countermeasures to deal with cyber attacks that cause serious international and social issues. Especially,
– Attack prevention
– Early detection and containment
– Network management
are studied to protect our important information and systems, to minimize the damage of a cyber attack and to support business continuity and swift recovery. Also we develop methods to realize secure environment for critical infrastructure and IoT (Internet of Things).

TAKEFUSA Atsuko (Professor)

takefusa (at)

Research Keywords : Internet of Things (IoT), Inter-cloud, Edge Computing, Cloud Computing, Parallel and Distributed Computing, Resource management technologies

Guidance Research
Our research group studies technologies for next-generation parallel and distributed computing infrastructure over a Cloud or multiple Clouds interconnecting via high bandwidth and high quality networks. The research area includes resource management technologies for computers, networks and storage in a Cloud, and federation technologies of multiple Cloud resources including the networks between Clouds.

URUSHIDANI Shigeo (ProfessorVice -General)

urushi (at)

Research Keywords : Network Architecture, Network Service Systems

Guidance Research
The education and research supervision on advanced networking technologies and network systems technologies for a variety of telecommunication network services. The research area includes the network architecture, advanced networking protocols, high-end system architecture, large-scale switching fabric architecture, and quality-of-service control architecture for high-speed, high-quality, highly-reliable and multi-functional telecommunication networks.

Software Science

AOKI Shunsuke (Assistant Professor)

aoki (at)

Research Keywords : Internet of Things (IoT), Cyber Physical Systems, Real-time systems, Mobile Robots, Embedded Systems, Autonomous Driving

Guidance Research WEB
Cyber Physical Systems (CPS ), such as Autonomous Driving and Internet of Things (IoT), require tight coordination for sensing, computing, communications, and actuation. To design and develop such computing systems, key components include proper resource management, well de fined scheduling, and co design of hardware/software infrastructure. My research style emphasizes on hands on projects that can naturally stimulate discussions and lead to real world problems. Specific research topics include (i) cooperative autonomous driving, (ii) safe human robot interaction and cooperation, (iii) edge/ fog computing for CPS, (iv) IoT/CPS applications for urban computing, and (v) artificial intelligence for distributed CPS.

HASUO Ichiro (Professor)

hasuo (at)

Research Keywords : Automaton, Category theory, Formal methods, Optimization, Machine learning, Cyber-physical system, Logic

Guidance Research
Formal methods refer to a body of mathematical techniques that aim at supporting quality assurance in software development. With their theoretical core lying in logic and automata theory, formal methods have been attracting a lot of research efforts, with some significant successes in software industry. My specific research style in this field comprises: pursuing essences of formal methods techniques via mathematical abstraction; using the abstract theory thus obtained to achieve general techniques that apply to a variety of systems; and actually applying those techniques to cyber-physical systems, a field of industrial significance. My research supervision will be on this abstract and mathematical approach to formal methods. Specific topics include: generalization of automata theory in the language of category theory (coalgebras, more specifically); verification algorithms for probabilistic and other quantitative systems; verification and analysis of continuous dynamics using real algebraic geometry; and collaboration of formal methods and optimization/learning algorithms.

ISHIKAWA Fuyuki (Associate Professor)

Research Keywords : Software Engineering, Testing, Formal methods, Software Engineering for Machine Learning-based Systems

Guidance Research WEB
As software systems play increasingly significant roles in the society, we investigate problems in efficiency and stability of their development and operation, specifically quality and dependability aspects. The key approaches involves both of (1) modeling techniques of human knowledge and decisions on requirements, designs, and risks, and (2) automated search and inference with optimization and learning techniques. Our recent focus is especially put on AI for SE, use of machine learning and optimization techniques for software engineering, and SE for AI, engineering methodologies for systems built with machine learning and optimization techniques.

KATO Hiroyuki (Assistant Professor)

kato (at)

Research Keywords : XML, XQuery, Database, Functional programming

Guidance Research
For XML which has emerged as a standard format for data exchange on the Web, the following topics are studied.
1. From a functional programming point of view, program composition or program transformation on XQuery which is a functional query language standardized by the W3C.
2. From a data engineering point of view, XML application techniques such as Topic Map or RDF are studied.

KITAMOTO Asanobu (Professor)

kitamoto (at)

Research Keywords : Open science, Digital archives, Data-driven science, Digital humanities, Earth environment informatics, Image processing

Guidance Research WEB
The main topics of the laboratory are advanced processing and analysis of image information, the recognition and semantic analysis of imagery and other media, the mining of meaningful information from large-scale real-world databases, the construction of the cyber infrastructure for earth environment information such as satellite imagery, and a proposal on the new framework for the study of culture using information technology. The focus of the research is both in the proposal of a good theory and in the application of a theory to the society.

SATOH Ichiro (Professor)

ichiro (at)

Research Keywords : OS, Cloud Computing, Middleware, Ubiquitous computing

Guidance Research
This course trains advanced issues on distributed/ubiquitous computing systems. Next-generation distributed/ubiquitous computing systems, e.g., cloud computing and ambient computing, need new software technologies, in OS, middleware, and programming languages. The course discusses such technologies with their theoretical foundations and implementations.

SEKIYAMA Taro (Associate Professor)

sekiyama (at)

Research Keywords : Programming Languages, Type Systems, Formal Verification, Machine Learning

Guidance Research
This course studies programming languages, program verification, and programming methodology for achieving software without bugs. In particular, we study integration of programming languages with different type systems, program verification based on type systems, and automatic theorem proving with machine learning approaches.

TAKASU Atsuhiro (ProfessorVice -General)

takasu (at)

Research Keywords : Sensor Data Analysis, Text Mining, Data Engineering

Guidance Research WEB
Our research group studies text mining algorithms for large scale database. First, we are interested in extracting latent structure from large amount of text data and developing statistical models like latent Dirichlet allocation (LDA). We apply the models to text stream analysis where we extract topical trends in text stream. We also apply the technique to data integration. Latent structure helps us to know the similarity and identity of the data that seems differently.
Second, we are studying efficient algorithm for tree matching. Tree structure is very useful and it is used for representing various data such as semi-structured text and computational biology. We are interested in developing an indexing method for matching trees in large tree databases. Recently, we begin the study of stream data mining from sensor streams and log data.

Multimedia Information Science

ARAI Noriko (Professor)

arai (at)

Research Keywords : Knowledge Sharing, Knowledge Base, Reading

Guidance Research
Survey of various ideas of distance education and their systems, including Computer Assisted Instruction (CAI), Computer Supported Collaborative Learning and Working (CSCL, CSCW)

ASANO Yuta (Assistant Professor)

asanoy (at)

Research Keywords : 3D reconstruction, Computer Vision, Image processing

Guidance Research
This course provides education and research guidance on computer vision and image processing technologies based on physical/optical phenomena. Algorithms based on physical/optical phenomena have existed since the dawn of computer vision, and various applied researches have been conducted in conjunction with the technological progress of measurement devices and the expansion of social needs. We will consider a wide range of research from basic theory to applied technology, with the aim of realizing "computer vision", including 3D reconstruction, object recognition, and analysis of reflected light components.

IKEHATA Satoshi (Associate Professor)

sikehata (at)

Research Keywords : 3D reconstruction, Computer Vision, Deep learning, Multi-view stereo, Photometric stereo

Guidance Research WEB
Students will be educated and supervised in the field of the computer vision and the image processing. The main research topic is the 3D reconstruction from the image(s) and the sensor information. The potential applications of 3D reconstruction range from the robotics, 3D mapping, VR/AR, autonomous driving and more. We will especially focus on the algorithms of the 3D reconstruction building on the machine learning techniques which may help to add rich contextual information to the 3D geometry or choose a reconstruction algorithm that is suitable for the specific task and object.

KATAYAMA Norio (Associate Professor)

katayama (at)

Research Keywords : Multimedia information processing, Multimedia information retrieval

Guidance Research
My research interest is the information processing methods for multimedia, e.g., multimedia information retrieval. By the advancement of computer technologies, the scale of multimedia information processing is increasing rapidly. This invokes the need for the sophisticated processing methods that are efficient and scalable. My research investigates such methods from the viewpoint of algorithms, data structures, software systems, etc.

KODAMA Kazuya (Associate Professor)

kazuya (at)

Research Keywords : Image/Video Coding, Visual Communications, Image Sensing, Image Restoration/Reconstruction

Guidance Research
This course will cover topics related to visual communication systems which are based on integration of image processing and sensors/cameras. Particular emphases will be laid on:
1. image enhancement by merging multiple visual sources
2. image/video transformation/coding by statistical signal processing
3. application to visual communication systems

KOYAMA Shoichi (Associate Professor)

skoyama (at)

Research Keywords : Active control, Physics-informed machine learning, Spatial audio, Inverse problem, Acoustic signal processing

Guidance Research WEB
Our research topic is from foundations to applications of signal processing and machine learning for sound and audio media. In particular, we focus on technical challenges in analyzing and controlling an acoustic space. Media processing technologies for sound space incorporating physical properties have a wide range of applications. Specific applications are VR/AR audio, local-field recording and reproduction, active noise control, and so forth.

MO Hiroshi (Assistant Professor)

mo (at)

Research Keywords : Pattern Recognition, Video content analysis

Guidance Research
Education and research supervision on multi-media information processing focusing on the following topics.
1. Basic theory of feature extraction and pattern recognition on image/video
2. Content analysis for image/video retrieval
3. Application system based on image/video processing

SATO Imari (Professor, Digital Content and Media Sciences Research Division)

imarik (at)

Research Keywords : Image-based Modeling and Rendering, Computational Photography

Guidance Research WEB
Students are encouraged to explore the latest topics in image-based modeling and rendering and computational photography ( convertion technologies for computer graphics, computer vision, and photography).

SUGIMOTO Akihiro (ProfessorVice -General)

sugimoto (at)

Research Keywords : Computer Vision, Digital Geometry, Human-Computer Interaction

Guidance Research WEB
In the coming ubiquitous computing environment, the computer itself has to autonomously understand human situation, intention or activities, and then provide us with useful information at the teachable moment. To establish such technology based on visual information, we concern not only fundamental theories but also developing application systems. A wide varieties of topics will be covered in my supervision.

YAMAGISHI Junichi (Professor)

jyamagis (at)

Research Keywords : Media Forensics, Machine Learning, Biometrics, Speech-based human machine interaction, Speech database, Speech information processing

Guidance Research WEB
The main research theme of our group is the speech information processing. We supervise undergraduate, postgraduate, and PhD students as well as postdoctoral researchers on the speech information processing, especially speech recognition and speech synthesis using large-scale speech data. The speech information processing is the cross-disciplinary research field consisting of several fundamental research fields such as signal processing, natural language processing, statistical learning, and speech perception/production, and of applied research fields such as human-computer interaction and assistive technologies for the disabled. Examples of the state-of-the-art research topics are
1. statistical learning using large-scale voice data streams,
2. speech assistive technologies to improve the quality-of-life (QoL) of individuals with vocal or hearing disabilities, and
3. context-aware reactive and adaptive speech synthesis. We shall conduct such innovative speech research that contributes to both the society and the academic field in cooperation with the Centre for Speech Technology Research, University of Edinburgh, UK.

Intelligent Systems Science

AIZAWA Akiko (ProfessorActing -GeneralVice -General)

Research Keywords : QA, Dialogue Systems, Semantic Parsing, Document Analysis, Knowledge Acquisition, Natural Language Interface, Natural Language Understanding

Guidance Research WEB
Our laboratory’s research is focused on natural language technologies to assist human intelligent activities. Our research is based on machine learning methods including deep learning, design of natural language tasks, or construction of linguistic resources. Our major challenges include: document structure analysis, text mining, natural language understanding, modeling of humans’ reading and writing behavior. We also welcome new research topics related to natural language processing or text media.

BONO Mayumi (Associate Professor)

bono (at)

Research Keywords : Conversation analysis, Conversational informatics, Sign language, Utterance, Social Interaction, Sociolinguistics, Embodied Action

Guidance Research WEB
This course will cover the theoretical frameworks and methodologies to understand conversational organization in our daily lives. Within conversation, talk is constituted through the mutual interaction of speaker and hearer using various modalities such as speech, gazing, body movement, and so on. My research interests mainly include the analysis of face-to-face conversation, human interaction, Japanese signed conversation, and the design of human-computer interaction.

INOUE Katsumi (Professor)

inoue (at)

Research Keywords : Artificial Intelligence, Machine learning, Knowledge Representation and Reasoning, Logic Programming

Guidance Research WEB
In this course, the principles of Artificial Intelligence are studied. Relevant topics include, but are not limited to, the following:
* logical foundations of intelligent systems
* knowledge representation
* inductive logic programming
* Boolean functions, propositional logic, SAT
* predicate logic, theorem proving, consequence finding
* logic programming, answer set programming
* belief revision, updates, abduction
* constraint programming, CSP
* distributed reasoning, distributed learning
* network inference, biological inference
* Boolean networks, cellular automata

KOBAYASHI Taisuke (Assistant Professor)

kobayashi (at)

Research Keywords : Data-driven Control, Human-Robot Interaction, Machine learning, Intelligent Robots

Guidance Research
My research group focuses on machine learning for intelligent robots that can be applied into the real world. In particular, we study imitation learning and reinforcement learning theories, which are broadly classified as data-driven control. For example, we aim to develop learning algorithms with new values that overcome the constraints on real-world activities, and analyze/evaluate their similarity to human. In addition to such a theoretical research, we provide problem-based learning through implementing the algorithms on robots and tackling challenging tasks like physical human-robot interaction.

KURITA Shuhei (Assistant Professor)

skurita (at)

Research Keywords : Large Language Models, Language Understandings in the Real-World, Natural Language Processing, Natural Language Understandings and Computer Vision, Vision and Language Models

Guidance Research
It is a demanding task for the applications of natural language processing and image recognition technologies to create models that understand the meaning of texts following the contexts of the real-world and operate accordingly. This includes grounding of texts onto visual observations, understanding of the real-world space and temporal information via texts, and large language models (LLMs) and their applications, such as multimodal LLMs. In particular, our research focus includes (but not limited to): language understandings with images, videos, 3D, and audio information, image captioning, visual question answering, and the development and/or applications of LLMs.

MIZUNO Takayuki (Associate Professor)

mizuno (at)

Research Keywords : Big Data, Human Behavior, Econophysics, Complex networks, Computational social science

Guidance Research WEB
Econophysics is studied. We empirically analyze the big data for Boom-Bubble Phenomenon on the basis of economics and physics, and find the interaction between diverse economic agents generating the Boom-Bubble Phenomenon. We apply the research results to economic policy and management.
1. Boom of product and asset market that information causes.
2. Interaction between regions causing real estate boom.
3. Connection between firms causing industrial boom.
4. Alleviation of excessive competition in the boom period

PRENDINGER Helmut (Professor)

helmut (at)

Research Keywords : Artificial Intelligence, Deep learning, Unmanned Aircraft Systems Traffic Management

Guidance Research
The overall goal is to investigate techniques for the creation of more intuitive and effective human-computer interfaces, including methods from artificial intelligence, multi-modal behavior generation/recognition, multimedia presentation, and affective computing. The two main topics are:
1. Embodied interfaces that emulate aspects of human face-to-face communication by using animated interface agents, with applications in online product and information presentation, interactive computer-based services, e-learning, and interactive entertainment.
2. Virtual worlds like “Second Life” and Open Simulator as platforms for simulation, experimentation, visualization, collaboration, interaction, and co-experience.

SATO Ryoma (Assistant Professor, Principles of Informatics Research Division)

rsato (at)

Research Keywords : Graph Theory, Data Mining, User-side Realization, Information Retrieval, Optimal Transport, Machine Learning

Guidance Research
Education and research supervision on machine learning and data mining, both in terms of theory and practice. Machine learning and other data processing techniques already have a wide range of applications in the real world. However, the principles of state-of-the-art techniques, such as deep learning, have not yet to be elucidated. With real-world applications in mind, we conduct in-depth research on fundamental theory in order to clarify why they work and to decide their configurations based on the principles.

SHIGAKI Shunsuke (Assistant Professor)

shigaki (at)

Research Keywords : System Identification, Data-driven Control, Mechatronics, Intelligent Robots, Neuroethology

Guidance Research
Provide research guidance on realization methods for constructing a robot system that can behave intelligently in real environments. In particular, regarding the robot body design and the derivation of the motion algorithm, we take an approach that aims to achieve realization based on the measurement data of actual animals. Therefore, research and education are promoted not only in theoretical research but also in a wide range of fields such as ethology, physiology, mechatronics, system identification, and data-driven control.

SUGAWARA Saku (Assistant Professor)

saku (at)

Research Keywords : Task Design, Machine Learning, Machine Reading Comprehension, Natural Language Processing, Natural Language Understanding, Computational Linguistics

Guidance Research
We study the task design and system development in natural language processing and computational linguistics.Our goal is to make computers understand human languages, where we design explainable tasks of language understanding such as machine reading comprehension, recognizing textual entailment, and commonsense reasoning. We also develop machine learning-based systems that are accountable and interpretable for practical use.

SUGIYAMA Mahito (Associate Professor)

mahito (at)

Research Keywords : Data mining, Bioinformatics, Machine learning, Knowledge discovery

Guidance Research WEB
We study data analysis methodologies such as data mining and statistics from theory to practice with focusing on the machine learning theory. In particular, our research focus includes scalable algorithms to extract valuable information from data and statistical theories that support reliability of the discovery. Moreover, we discuss how to use data analysis methods in scientific fields such as bioinformatics to achieve scientific discovery.

TAKEDA Hideaki (Professor, Principles of Informatics Research Division)

takeda (at)

Research Keywords : Community-Support System, Semantic Web, Knowledge Sharing, Design Theory

Guidance Research WEB
His primary research interests are in the areas of techniques for knowledge sharing systems that enable people collaborate to each other to develop their knowledge. His current research focuses on ontology engineering including theoretical foundation of ontology and its developing methodology, and community support methodologies that can support community activities to generate community knowledge.

YAMADA Seiji (Professor)

seiji (at)

Research Keywords : Human-Agent Interaction, Human-Robot Interaction

Guidance Research WEB
We will discuss the design of human-agent interaction. For preparation, we will survey on the design of intelligent agents, especially life-like agent and machine learning, action selection. If necessary, reading papers round a class will be done. The topics are in the following
– Design of intelligent agents
– Human-robot interaction
– Adaptation between humans
– Adaptation between a human and a robot
– Design of human-agent interaction

Information Environment Science

ECHIZEN Isao (Professor, Information and Society Research Division)

iechizen (at)

Research Keywords : Biometrics, Privacy, Multimedia security, Multimedia Forensics

Guidance Research WEB
Our goal is to establish content security technologies and systems for fair use of digital content. We have developed and continue to develop fundamental content security technologies, such as information hiding and content anonymization, content security systems that provide copyright protection, information leakage protection, and authenticity assurance, and other security measures.

KANDO Noriko (Professor)

kando (at)

Research Keywords : Text Processing, Information Access Technologies, Information Retrieval, Evaluation Methodology and Metrics

Guidance Research
Principles and methods of information retrieval. An examination of the central concept in Information Retrieval, methods, consideration for the relationship to user’s context, retrieval purpose, task and need as well as characteristic of information objects.

NISHIZAWA Masaki (Associate Professor)

nisizawa (at)

Research Keywords : Research trends, Scientmetrics, Statistical analysis, Bibliometrics

Guidance Research
This course focus on methodology and case analysis of the scientometrics for measuring scientist’s research activity, research trends and development of science. We discuss technique to extract internal factor to explain the characteristics of the empirical distribution with comparing a mathematical model in natural science.

OKADA Hitoshi (Associate Professor)

okada (at)

Research Keywords : Electronic Commerce, IT-enabled Services, Electronic Money

Guidance Research
We would like to think about how Electronic Commerce and Electronic Money affair on our Economic activity or Social Structure. In this course, we will see the recent business cases around the world, analyze the user activity using several statics methods. Then we shall achieve the research ability to find some institutional matters on Information Society and to give some policy proposals.

SUN Yuan (ProfessorHead, NII Library)

yuan (at)

Research Keywords : Personalized Learning, Bibliometrics, Knowledge Tracing, Cognitive Diagnostic Modelling

Guidance Research
Bibliometrics has become a standard tool of science policy and research management in the last decades. In this course we introduce the fundamental techniques of bibliometrics, together with related statistical methods. Topics include citation analysis, co-authorship analysis, basic and advanced data-analytical methods.

YAMAJI Kazutsuna (Professor)

Research Keywords : Open science, Database, Scholarly Communication, Research Data Management

Guidance Research
Open science is expected to lead new scholarly communication paradigm. Making it accelerate, research infrastructure, policy and evaluation metrics are (but not limited to) the research subjects. Research and development of the infrastructure requires to design service architecture and new functionality as research issue. Research in policy aspect includes world trends investigation and fact based validation. Research in evaluation metrics is to establish new indicator and also requires statistical analysis for better understanding of open access and open science status.

Informatics Program, Graduate Institute for Advanced Studies, SOKENDAI

国立大学法人 総合研究大学院大学 大学共同利用機関法人 情報・システム研究機構 国立情報学研究所 / National Institute of Informatics