Welcome to the Graduate Schoolof System Informatics
The Graduate School of System Informatics was founded in April
2010 as the first graduate school on information-related fields at
Kobe University. Our graduate school consists of three departments: Department of System Science, Department of Information Science, and Department of Computational Science. We areresponsible for promoting education and research on methodologies for analyzing, designing, and operating large-scale complex
systems, on theories and techniques for advanced information
processing, and on the fundamentals and applications oflarge-scale simulations in a high-performance computing environment.
The Graduate School of System Informatics has marked its 10thanniversary, and a new decade has begun in April 2020. Although
it has been only ten years since its establishment, the situation
surrounding our graduate school has changed dramatically during
this period. Research topics closely related to our graduateschool, such as artificial intelligence, data science, the Internet ofThings, big data, robotics, etc., have been gaining a lot ofattention, and the arrival of upcoming Society 5.0, a richhuman-centered future society, is approaching. The supercomputer “K”, whose installation in Kobe city had been one of thetriggers for starting our graduate school, has already retired, andthe supercomputer “Fugaku,” which is 100 times more powerfulthan the “K” computer, is now in operation.
Development of human resources who can contribute to thecreation of new values by deepening and integrating thesecutting-edge technologies is our important mission as an organization that plays a central role in education and research toward
the realization of Society 5.0. I sincerely hope that many students
will gather at the Graduate School of System Informatics andenjoy studying how to create an attractive future society.

Dean of the Graduate Schoolof System Informatics

OHKAWA Takenao

ABOUT THE GRADUATE SCHOOL OF SYSTEM INFORMATICS AT KOBE UNIVERSITY
The Graduate School of System Informatics of Kobe University was established in April of 2010 by reorganizing theDepartment of Computer Science and Systems Engineering in the Graduate School of Engineering. The Graduate School of
System Informatics offers Master and Ph.D. programs in Systems Science, Information Science, and Computational
Science. Students can participate in a consistent program through their Master and Ph.D. careers.
Upon completion of the Master's program, students receive a Master's degree in System Informatics or in Engineering.
Furthermore, they receive a Doctor of Philosophy in System Informatics, in Engineering, or in Arts and Science. Moreover,students who pursue and complete the Computational Science Intensive Course are awarded a Ph.D. in Computational
Science.

The Graduate School of System Informatics offers educational research programs through which students are trained not only todevelop and expand new disciplines aimed at the creation of knowledge and value, but also to possess high creativity and aninternational mindset to make a positive contribution towards global society. The core of our new disciplines is System Information(meaningful information that exists within a wide range of systems, through nature, engineering, and society), and their pillars are
the three academic fields of each department.
The Graduate School therefore actively accepts not only persons who have studied system technology, information technology,and simulation technology in engineering or information system science in their undergraduate and graduate programs, but also
those who have a high interest and desire to apply and to expand the scope of these technologies in the various areas ofspecialization within science, medical, cultural science, and social science fields.

At the Graduate School of System Informatics, we have developed a structured education capable of equipping its students withbroad, advanced knowledge and skills. We offer a distinctive education program that includes a comprehensive education systemcovering a Master Program and Doctoral Program for realizing an education capable of fostering advanced engineers andresearches in the field of computational science.

Our Master Program is geared toward creating highly creative, advanced
professionals possessing broad knowledge of each departmental field as wellas an interdisciplinary perspective.
The program provides a highly professional education in the student's main
department through basic departmental courses and departmental application
courses, and enhances the student’s multidisciplinary education byestablishing common courses within the Graduate School of System
Informatics (fundamental courses that are common to all three departments)
and introducing inter-graduate-school courses (courses that cross over our
five graduate schools of natural science: Graduate School of Science,
Graduate School of Engineering, Graduate School of Agriculture, Graduate
School of Marine Science, and Graduate School of System Informatics).
By incorporating within this education system and research guidance througha master’s thesis, our Master Program makes every effort to cultivate highcreativity and problem solving skills.

Our Doctoral Program promotes education and research for fostering researchers, higher education research facility faculty
members, and professionals possessing advanced independent research skills, high creativity, and an international mindset foridentifying, exploring and resolving problems.
The program establishes rigorous courses related to the student's doctoral thesis, requiring presentations over time in relation toinvestigational research, problem excavation, research planning, research implementation, research result organization, andmethods for solving unresolved issues.
The program also introduces a system of professional courses taught by multiple faculty members as well as cross - graduate school courses, thereby fostering human resources equipped with advanced expertise and a wide perspective.

In an effort to aid our students in establishing careers as researchers specialized in computational science, we also have establisheda Computational Science Intensive Course” which provides the student with a coherent education from the Master Program on
through the Doctoral Program.
In principle, our intensive course is an education program that appeals to those who have graduated from the undergraduate
school of a university and, unlike a general course where the student completes the Master Program and then enters the Doctoral
Program, is designed with the objective of the student obtaining a doctoral degree from the start. Based on a curriculum thatcomplements various fields of education through short-term, intensive seminars, the course fosters human resources equippedwith practical skills related to high-performance computation as well as highly professional knowledge and abilities related to thefields of computational science.

Education/Research Fields

Fundamentals ofSystems Science

Systems Planning

Operational Research, Production Systems Engineering, Social Systems
Engineering, Optimisation, Multi-Agent System, Management Engineering,
Decision Support Theory, Service Engineering, System Simulation, Medical
Engineering

Applied Optics

Instrumentation Optics, Information Photonics, Computational Optics,
Physical Optics, Image Processing, Optical Tomography, Optical Data
Storage, 3D Display System, Optical Supercomputing, Quantum
Information Science

Systems Control

Environment Adaptive Robotics, Computational Robotics, Cognitive Motion,
Human Interface, Biomechanics, Bio-mimetic System, Care Support Engineering,
Digital Health, System Control, Optimization, Artificial Intelligence,
Affective Computing, Natural Language Processing,
Biological Information Processing, Human Computer Interaction

Mathematical System
Analysis
Innovation ofSystems Science

System Analysis

Intelligent Systems
Applied Robot Science(Collaborative Program)

Applied Robot
Science

Distributed Parameter Control Systems Theory, Infinite Dimensional
Dynamical Systems,Operator Theory,Nonlinear PDEs, Mathematical andTheoretical Biology, Robust Control Theory, Nonlinear Systems Theory,Large Scale and Hybrid Systems Theory, Control System Design via
Numerical Optimization, Time Delay Systems
Intelligent Robotics, Sensor Fusion, Robot-Human Interaction,
Tele-Operation System, Soft Computing, Measurement engineering,
Biological information measurement, Nondestructive testingIntelligent Decision Making, Virtual Reality, Mixed Reality, MedicalEngineering, Computer Aided Diagnosis and Treatment, Educational/Learning Support System, Learning Analytics, Educational Big Data
Manufacturing System, Instrument and Control System, Motion Planning
System, Robot Control System, Human Interface System

Division

Foundation ofInformation
SciencesIntelligent
Informatics

Education/Research Fields

Research Topics

Mathematical Logicand Statistics

Mathematical Logic, Mathematical Statistics, Foundations of Mathematics,
Foundations of Informatics, Axiomatic Set Theory, Model Theory, ProofTheory, Computability Theory, Algebraic Combinatorics, Discrete andComputational Geometry

Processor
Architecture
Software ScienceProcessor architecture, VLSI systems, VLSI memory, Low powerVLSI
design, Electronic Devices, Sensing Systems. Multimedia Systems, Human
Interface Systems
Logic Programming, Constraint Programming, Declarative Programming,
Programming Language Processing Systems, Theorem Provers,
Combinatorial Optimization, SAT

Telecommunications

Information and Communication Engineering, Protocol Design, Perfomance
valuation,Parallel and Distributed Processing, System SoftwareIntegrated
Information Systems
Knowledge andInformation
Processing

Integrated Circuit Design,Electromagnetic Compatibility, AdvancedPackaging, Ubiquitous Hardware Systems, Hardware Security
Biodata Processing, Agricultural Data Processing, Information Retrieval,Content Analysis, Network Analysis, Data Integration, Data Mining,
Statistical Machine Learning, Large-scale Data Analysis

Media Informatics

Speech/Image/Movie Recognition, Media Integration, Semantic Understanding,
Dialogue/Conversation Processing, Intelligent Communication, UniversalCommunication, Disaster Information Processing, Pattern Recognition

EmergentComputing

Emergent System, Autonomous Decentralized System, Mathematical
Programing Model, Agent Model, Adaptation/Learning Algorithm, Scheduling,Interaction, Nonholonomic System, Mobile Robot, Drone, Manipulator Dynamics

Kansei and Media Art

Kansei andMedia Art

Human-Robot Interaction Technology, Voice Interaction Technology, Haptic
Interaction Technology, Communication Media, Partner Media, Media
Presentation Techniue, Multilingual Speech Translatio, Situation
Recognition Technology, Network Robottics

Integrated Intelligence

IntegratedIntelligencemachine learning, artificial intelligence, statistical modeling, patternrecognition, Bayesian statistics, intelligent information processing, bigdata
analysis, optimization(Collaborative Program)(Collaborative Program)Division

Fundamentals ofComputationalScienceEducation/Research Fields

Research Topics

Basics ofComputational
Science

Numerical Analysis, Finite Difference Method, Finite Element Method,
Parallel Algorithms, Large Scale Simulation, Program Tuning Tools,
Discrete Mechanics, Differential Geometry, Global Analysis, MathematicalEngineering

Computational
Intelligence

Artificial Intelligence, Machine Learning, Multimedia Processing, DataMining, Text Mining, Information Retrieval, Software Engineering,Service/Cloud Computing, Ubiquitous Computing

Computational
Fluid Dynamics

Computational Fluid Dynamics, Finte Volume Method, Finte ElementMethod, Massively Parallel Simulation, Coupled and Unified Simulation,Complex and Complicated Turbulence, Combustion Flow, GridGeneration, Moving Boundary Method, Applied Aerodynamics, IndustrialApplications, Vehicle Aerodynamics, Automotive Engine

Simulation
Techniques

Yin-Yang Grid and Its Applications, Large Scale Simulations,
Computational MHD and its Visualizatons, Geodynamo, Big DataVisualization, Multivariate Data Visualization, Visual Data Analytics

Computational
Molecular
Engineering

Massively Parallel Computing Algorithms, Explicitly Correlated Electronic
Structure Theory, Strongly Correlated Electronic States, Scalable
Molecular Orbital Theory, Model Space Quantum Monte Carlo, QM/MMMethods, New Energy

ComputationalBiologyBiomolecular System, Ab Initio Simulation, Multiscale Simulation,
Large-Scale Parallel Computation, Medical and PharmaceuticalApplications, Molecular Dynamics Method, Molecular Orbital Method,
Monte Carlo Method

Computational
Space Scienceand Engineering

Numerical Simulations on the Lunar and Planetary Environments,
Satellite-Plasma Interaction, Numerical Simulations on Ion Beam
Appplication, Development of Plasma Particle Simulation Method

AppliedComputational
Science

AppliedComputational
Science

Earth Simulator, High-Performance Computing, Multiscale Simulation,
Earth Sciences, Lithosphere Dynamics, Earthquakes, Plate Motion,
Particle Simulation Method, Scientific Visualization, Evolution of theEarth's Deep Interior, Large Scale Linear and Nonlinear Iterative Solver

Large Scale
Computational Science

Large Scale
ComputationalScience

Simulation of Complex Climate System , Numerical Software Library,
Quantum Material Science, Lattice QCD, Biosimulation, Cellular
Simulation

Innovation ofComputational
Science(Collaborative Program)(Collaborative Program)

PRINCIPLES AND AIMS OF GRADUATE SCHOOL OF SYSTEM INFORMATICS
System Informatics is an academic field that strives to contribute to the development, processing, and utilization of “system
information,” which is meaningful information that exists within a large-scale, complex system, based on highspeed,large-capacity computing technology. The term “system” used here does not refer to a so-called information system, butrather to a broad “system” covering a variety of areas, from nature and engineering to society, including space, earth, people,
living organisms, artificial materials, and the like.
The Graduate School of System Informatics targets such a “system” as well as the “system information” that exists within thatsystem, defining the three academic fields below as the pillars of its education and research. With each of these three fields
at its core and through the integration thereof, the Graduate School strongly promotes education and research related to thetheories and methodologies of the pursuit of system informatics.

COLLABORATIVE DIVISIONSThe Graduate School of System Informatics continues to establish collaborative divisions with several research institutes
in fields related to system informatics. While the Ph.D. program has already collaborated with “Mitsubishi ElectricCorporation” and the “Advanced Telecommunications Research Institute International (ATR)”, the Master program alsooffers such collaborative divisions throughout the fields of system informatics. We offer collaborative programs with the“Japan Agency for Marine-Earth Science and Technology (JAMSTEC)” that achieved outstanding research results using
the Earth simulator, as well as with “RIKEN”, known for the supercomputer “Fugaku”. Furthermore, we strive to organize
the Educational Research Propulsive System, which is fully supported by researchers and faculty of each institute.

Take the Kobe Municipal Bus Line 16 bound for "Rokko Keburushita" and get off at the"Kokusai Bunka Gakukenkyuka Mae" bus stop.
Take the Kobe Municipal Bus Line 36 bound for "Tsurukabuto Danchi" and get off at the"Shindai Honbu Kougakubu Mae" bus stop.
Take the Kobe Municipal Bus Line 36 bound for "Tsurukabuto Danchi" and get off at the"Shindai Bunri Nougakubu Mae" bus stop.