Nara Institute of Science and Technology

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NAIST Graduate School of Information Science Official Account

Open Campus for Prospective Students 2014

Announcement

This page is frequently updated with new information.
NAIST Graduate School of Information Science is completely open for prospective students (University Students, Technical College Students, Graduate Students, Working People)!
You can visit all labs and see the state-of-the-art research demos.
You can also directly consult with the faculty (Professor, Associate Professor, Assistant Professor) of the lab that you are interested in.
At the admission inquiry counter, all questions regarding entrace examination and university life will be answered.

Open Campus in May 2013

Open Campus Guidebook (PDF)

(On the day, it will be distributed at the reception desk.
The contents are very similar with the following contents of this webpage.)

Schedule

March 8, 2014 (Saturday) 10:00-17:00 (in all weather conditions)

Visit Model of the Day

If the laboratory that you want to visit is almost fixed:

If the laborotary that you want to visit has not been fixed,
or it has been almost fixed but you want to see the overview of other laboratories:

Laboratories Demo and Panel Exhibition

The overview of each laboratory can be found from the panel at first floor of IS Building.
In each laboratory, there will be research demonstration.
The location of laboratories can be found from the brochure or you can also ask at the reception desk.



		Panel Exhibition of each laboratory (Lobby 1st Floor)

「★」Introduction with Demo、「・」Panel introduction only。

Computer Science
We offer education and researches on computer hardware and information network to establish fundamental technologies for the next generation computer science, including dependable and green IT.

Computing Architecture Laboratory
(Nakashima Lab.)

High-Speed, Low-Power, Variable-Reliability, New-Material Computers

This laboratory focuses on the next generation computer system which specially targets at software/hardware collaborations to break the performance wall, and address reliability and energy issues in current systems. Ultra low-power accelerators and dependable new material computers are designed under JSPS(kibanA), JSPS(houga) projects. We are expecting any students with a strong enthusiasm in computer engineering including both of hardware and software.

★ Ultra Low-Power Accelerator
★ Tiny Film CPU
★ Reliable Accelerator

・ x86 Co-Processing Accelerator EMAX
・ 8bit CPU EMIN to run 32bit ARM OS
・ Robustness Customizable CPU ERELA

Dependable System Laboratory
(Inoue Lab.)

Reliable VLSI　Design, VLSI Testing, Distributed Algorithms, Parallel Algorithms

Dependability is the concept from user's point of view that we can use systemsreliably and securely. We are pursuing research on safe and secure systems including distributed systems with hundreds of computers and VLSIs with billions of transistors.

★ VLSI design-for-testability & test generation
★ VLSI degradation detection
★ Shared memory distributed algorithms

・ Power/Thermal-aware VLSI testing
・ Fast IR-drop analysis
・ Data mining for failure prediction
・ Parallel algorithms

Applied Algorithmics Laboratory
(Seki Lab.)

Security, Software, Database, Coding, Bioinformatics

We develop mechanisms for computation and apply them to novel research problems, including security, software, database, coding, bioinformatics, etc. Visit us at B507 and check our contribution in many different research areas.

★ Trans-organizational role-based
    access control
★ Anti-phishing user authentication
    for novice users
★ Extremely fast analysis of RNA
    structures

・Security in sensor networks
・Verification of security against inference
attacks on XML data
・Ultra high-density two-dimensional barcode scheme

Ubiquitous Computing Systems Laboratory
（Yasumoto Lab.）

Activity Navigation & e-Health, Participatory & Social Sensing, Smarthouse, Mobile Sensing, Sensor Networks, Intelligent Transport Systems

Ubiquitous computing systems provide users with more useful services at lower cost than ever before by processing, aggregating, and analyzing real world data sensed with various sensors and by recognizing the physical situations of the real space.

・ Context Recognition through User’s Touch
    Operations on Smartphones
・ Interface for Supporting the Creation of
    Energy Saving Plan in Smarthome
・ Gamification-based Participatory Sensing
・ Indoor Map Generation Using Ultrasonic
    Sensors

・ DTN in Post-Disaster Areas
・ Sensor Networks for Agriculture
・ System for Efficient Collection and
Delivery of Traffic Information
・ Creating Social City Maps by Analyzing
Social Activities

Foundations of Software Laboratory
(Ito Lab.)

ITS, Mobile, Cloud Computing

Division for foundations of software led by Professor Minoru Ito is engaged in research areas of intelligent transportation systems (ITS), cloud computing, and mobile computing, in order to realize efficient algorithms truly useful in the real world.

・ Navigation in Multilevel Parking Facility
★ Electronic Triage System
・ Localization in Underwater Sensor Networks
★ Adjusting Parameters in Stereoscopic 3D Video
・ Task Scheduling Considering Turbo-Boost

Software Engineering Laboratory
(Ken-ichi Matsumoto Lab.)

Empirical Software Engineering, Open Source Software Engineering, Software Security

The software engineering lab. uses both theoretical and empirical approach to address various problems related to software development methodologies, human computer interaction and software lifecycle management. We fully exploits the potential of students’ curiosity and creative thinking together with conventional research theories and techniques to tackle new topics in software engineering.

・ Mining Software Repositories
・ Research Paper Citations in Soft. Dev.
★ Bugarium: 3D interaction for Large-Scale Data

・ Software Obfuscation / Watermarking
・ Open Source Software Development
★ Measuring Developers’ Brain Activities

Software Design & Analysis Laboratory
(Iida Lab.)

Software Design & Analysis, Repository Mining, Cloud System

We study techniques for supporting the development and the design of Cloud systems. Especially, we focus on modeling theory and implementation technique for design process and document. Also, we are doing collaborative research with industry to develop practical approaches for software design.

★ Project Replayer
・ System for replaying development process
・ System for making development plan
・ Process complexity metric

・ Cloud Systems using SDN
(Software-Defined Network)
・ Analysis of bug fix processes
・ Analysis of the relationship between bug
and refactoring
・ Feature extraction using source code analysis

Internet Engineering Laboratory
(Yamaguchi Lab.)

Cloud computing, Testbed, Security, Mobile Computing

To enable continuous development for the Internet, we study the foundation and systematization of the Internet meta system. The meta system supports scalability, plasticity, security and mobility in the Internet. To contribute to society, we engage in constructing next generation networks through our research.

★ Miniature Internet
・ SOS Message Propagation
via Smartphones
・ Mobile Data Offloading

・ DoS Attacks Detection on ISM system
・ Anomaly Detection using Spectral Analysis
・ Weather Nowcasting via Smartphones
・ Quantifying Security in Multi-tenant
Cloud Computing

Internet Architecture and Systems Laboratory
(Fujikawa Lab)

Internet, Mobile, Ubiquitous, Security

Main objective of our laboratory is to establish systems and applications for the Internet on cross-sectional issues, especially related to mobile and ubiquitous computing, operation, and information security. At this open campus, we demonstrate “Distributed Publish/Subscribe system for sensor network”, “Vehicle sharing traffic information system for ITS” and “Dynamic routing mechanism based on Message ferrying for Mobile network”.

★ Traffic information system
    for ITS
★ Message ferrying for
    Mobile network
・ 4K super high definition
    transmission

★ Distributed Publish/Subscribe system on Sensor network
・ High speed implementation for elliptic
curve cryptography on GPGPU
・ Education program for security experts
（enPiT Security: SecCap)

Hide the details of Computer Science

Media Informatics
We offer education and researches on human-machine interaction and media to establish fundamental technologies to support people in advanced information society.

Computational Linguistics Laboratory
(Yuji Matsumoto Lab.)

Natural Language Processing, Text Mining, Keywords, Web Text Analysis, Knowledge Infrastructure

We focus on computational approaches to understanding natural language, the essence of human intelligence. We make both fundamental and applied research on natural language analysis.

★ Japanese Morphological Analyzer "ChaSen"
★ Corpus Management and Search Tool "ChaKi"
★ Japanese Dependency Parser "CaboCha"
★ Predicate Argument Structure Analyzer
"YuCha"

★ Opinion Mining from the Web
★ Error Correction System "Chantokun",
"CorrCha"
★ Technical Term Retrieval Assistance

Augmented Human Communication Laboratory
(Nakamura Lab.)

知能コミュニケーション技術～コミュニケーションを強化する～

Toward enhancement of human communication abilities, AHC lab. is studying multilingual speech translation,　 dialog system,　communication QoL, silent speech interface, user-adaptive super-human automatic speech recognition/synthesis, and brain analysis related human communication.

★ Speech Translation
★ Speech Recognition
★ Speech Synthesis
★ Quality of Life

★ Voice Conversion
★ Dialog System
★ Communication support for autism
★ Brain analysis related human communication

Network Systems Laboratory
(Okada Lab.)

Sensing, ICT for Surgery Support, Wireless Power Transmission, mobile communication and broadcasting

The laboratory develops wireless communication, broadcasting, and sensing system. And its embedding methods are also studying. Broadband and high reliable signal processing is applied to wireless sensing technologies for position location and surgery support systems.

★ Terrestrial-Digital Broadcasting Reception
Software defined Radio Receiver
・ Surgery Support with RFID Sensor
・ Position Location utilizing
LCX Antenna

・ ESPAR Antenna assisted MIMO-OFDM
・ Integrated Optical and
Radio Communications
・ Rain Rate Estimation using
Milimeter-Wave Mesh Toplogy

Vision and Media Computing Laboratory
(Yokoya Lab.)

Computer Vision, Virtual Reality, Mixed Reality, Image Processing

The laboratory develops technologies that extract 3D information from camera images and effectively show various information in a computer to human. Research fields are Computer Vision, Virtual Reality and Mixed Reality

★ AR using Mobile Computer
★ Image, Video, 3D Model
Inpainting
★ Real-time Diminished Reality
・ Free View Generation for
Robot Control

★ Augmented Telepresence using
    Aerial Omnidirectional Video
★ Camera Pose Estimation and
    3D Modeling from Video Images
・ Position Estimation of Near
    Light Point using Clear Hollow Sphere
・ Inferring Important Regions
    Induced by Videographer's Intention

Interactive Media Design Laboratory
(Kato Lab.)

Augmented Reality, Next Generation Interface, Computer Graphics

The research in our laboratory not only focuses on the future interactive media itself but also media technologies, human-computer interaction, and data engineering which are needed to create innovative interactive media.

★ Design support system using
projection-based AR
★ Transparent AR system
★ Appearance controlling by
projector-camera system
・ Object tracking using natural features

★ Embedding technology for
imperceptible patterns
★ AR authoring system for
work support
★ AR meeting support system

Optical Media Interface Laboratory
(Mukaigawa Lab.)

Computer Vision, Photometric Analysis, Sensing System

We are focusing on a photometric analysis in the computer vision research field which aims to understand scenes according to optical information obtained by a camera. This laboratory was newly established in February 2014 to realize a new interface that humans and machines can share scene information through optical media based on measuring and analyzing techniques of a light transport

★ Understanding of material, shape, and texture by analyzing reflection and scattering.
★ Computational photography to visualize invisible scenes by computation.
★ Multi-functional imaging by combining reflectors with a camera.

Ambient Intelligence Laboratory
(Hagita Lab.)

Ambient Intelligence, Computer Vision, Human Robot Interaction

Our goal is realization of a safe, secure and comfortable life space for all members of society through the application of ambient intelligence. Ambient intelligence which means our life space has intelligence is developed by real world sensing, knowledge structuring and interaction for humans.

・ System with a Depth Sensor for
    Coaching Skillfull Human Motion
・ Grouping People for Tracking
    across non-overlaping Cameras
・ Purchase Estimation by Analyzing
    Actual Customer's Behavior

・ A Social Media Mediated Robot
for Elderly
・ Self Sacrifice Robot for Stress
Elimination

Hide the details of Media Informatics

Applied Informatics
We offer education and researches on computational systems, robotics, and bio-information processing to discover vital function and life phenomena.

Robotics Laboratory
(Ogasawara Lab.)

Intelligent Robot System, Visual Interfaces, Human Modeling

A robot is an intelligent system that obeys real world dynamics while interacts and communicates with human beings. Such a system requires sensing the real world environment in real-time (real-time sensing). In our laboratory, we develop real-time sensing technologies, such as robot vision and tactile sensing, and integrate them into an intelligent system.

★ Human Mimetic Expression by
Android Robot
★ Self Introduction by Dual-Arm
Robot
★ Humanoid Robot Demostration

・ Environment Modelling and Mobile
    Robot Navigation
・ Robotic Training System using
    Musculoskeletal Model
・ Designing the Robot Behavior
    by Reinforcement Learning

Intelligent System Control Laboratory
(Sugimoto Lab.)

Systems Control , Mechatronics, Learning

Our research interest covers basic theories and applications for Systems Control, Sensing & Signal Processing and Machine Learning for Control.

★ Modeling & Control of Artificial Muscle
★ Street Performance Robot via Visual Feedback
★ Reinforcement Learning of Robot Motor Skills

・ Power Assist Technology for Bicycles
・ Feedback Error Learning for Control

Mathematical Informatics Laboratory
(Ikeda Lab.)

Math Model, Machine Learning, Brain Informatics, Adaptive Systems

The laboratory studies Solutions with Mathematical Model, that include development and analysis of machine learning methods, applications to mechanism of brain information processing, and applications to engineering such as adaptive systems.

★ Mechanism of Decision Making by EEG
★ Robotics for Human Assistance and Care
・ Modeling of Driving Behavior
・ Control Application of 3D Measurement System

★ Signal Processing of MEG
★ Gazing in Paint Observation
・ Analysis of Machine Learning Method
・ Machine Learning in System Biology

Computational Systems Biology Laboratory
(Kanaya Lab.)

Medical Bioinformatics, Secondary metabolite DB, Network Analysis, Bioimaging & Nano tech., Medical Imaging

We have developed medicinal/edible plant DB, metabolite-species, effects of metabolites and plants to human health. We also have developed a simulator for large-scale metabolism and an analyzer for molecular networks. Furthermore, we research methods of measuring and processing technology for biological function, such as optical tweezers, 3D imaging of cells, MR imaging, and processing technology of medical images.

★ Multifaceted Plant Usage Database
・ Visualization System of Bio-Networks
★ Dynamic Simulation of Metabolic Flow

・ Two-Photon Microscope Imaging
・ MR Diffusion Imaging

Large-scale Systems Management Laboratory
(Kasahara Lab.)

System Analytics, Network Science, Service Science, Algorithm

LSM Lab. research is aimed at developing performance modeling and algorithm techniques for design, control and architecture of large-scale systems such as cloud computing, with which the resulting systems achieve high performance and low vulnerability. Our research focus is on design framework, fundamental technologies and highly-qualified services, in particularly for large-scale computer/communication network systems.

・ Cloud Computing
・ Green Computing/Networking
・ Big Data Analytics
・ Risk Analysis/Markov Analysis

・ Disaster-Tolerant Networking
・ Service Science
・ Online Algorithm
・ Mechanism Design

Neural Computation Laboratory
(Doya Lab.)

Computational Neuroscience, Reinforcement Learning, Evolutionary Robotics

The goal of the laboratory is to establish computational models of the learning mechanism in animal brains, and then apply the principles to information processing of artificial creatures. To achieve this goal, we are building theoretical models of the molecular/neural networks involved in reward-based learning, and verifying these models through animal and robotics experiments.

・ Multi-level Simulation of Basal Ganglia Circuit
・ Bayesian Connectivity Estimation from Spike Train Data
・ Quadruped/wheel Robot Experiments for Learning and Evolution in Realistic Environment
・ Recording Animal Brains in Stochastic-Reward Tasks
・ Recording Neuromodulators in Delayed Reward Tasks

（＊This time only panel exhibition at 1st Floor）

Hide the details of Applied Informatics

Collaborative Laboratories （It is still not decided whether there will be panel exhibition or not）
The Collaborative Laboratories provide opportunities for Master students to make a long-term visit to a private company or research institution and receive supervision for their Master thesis. Laboratory list is Here

Symbiotic System Laboratory
(NEC Kansai Lab.)

Inspiration computing, co-creating communication

The laboratory studies a new type of information system which can create new values by collaborating with people. This study is based on researchers on human intention, intellectual productivity, and supporting human intelligent activity. We imagine the future where people will live with intelligent artifacts to realize their potential.

★ Multi-sensor behavioral analysis
★ Intellectual productivity modeling

★ Co-creation promotion
★ Emotional adaptive interaction

Molecular Bioinformatics Laboratory
(AIST/Ueno & Fukui)

Bioinformatics, Molecular Dynamics Simulations, High Performance Computing

In order to understanding functions and mechanisms of proteins and biological macromolecules, this laboratory focuses on computational studies and software development of bioinformatics based methods. Including an exhaustive search strategy with large scale computers and method of experimental data analysis recovering information loss in the incomplete data set, methods of computer science is applied in studies of life science toward a knowledge discovery

・ Three Dimensional Reconstruction of Proteins by Electron Microscopy
・ Molecular simulations of protein-protein interactions
・ Software development of the script editor for molecular animations

Technology of Radiological Science Laboratory
(National Cerebral and Cardiovascular Center Research Institute)

PET, SPECT, MRI, Molecular Functional Imaging, Medical Imaging Processing

The laboratory is attached to National Cerebral and Cardiovascular Center (NCVC) and aimed at developing advanced medical imaging diagnostic devices and image processing technologies, which can provide functional images in clinical services. It is a unique group of experts from various fields and collaborate with medical doctors and companies.

・ Key Technology Development (Image Processing: Image Reconstruction,
Tracer Analysis Motion Correction, Image Registration,
High Spatial-Resolution SPECT Device, Computer Simulation)

・ Clinical Diagnostic Imaging (Quantification and standardization
of SPECT image, Rapid Quantitative PET Systems, MRI)
・ Molecular Imaging for Pre-Clinical Studies (Evaluation of New
Therapies and Drugs, Developmental of Animal Models of Diseases)

Computational Neuroscience Laboratory
(ATR)

Computational neuroscience, Brain-machine interface, Brain information decoding, rehabilitation, behavioral decision, robot

A profound idea in this course is that in order to really understand human brain function, you need to reconstruct a human being. To clarify any brain function such as sensation, movement, communication, emotion or language we take the viewpoint of information processing and integrate experimental means like neurophysiology, psychology, brain imaging and robotics into a computational framework. Taking this approach, ATR is internationally recognized as a leading center for computational neuroscience, aiming at cutting edge research.

Programming Science Laboratory
(Kinoshita Lab.)

　Program semantics, Programming logic, Mathematical methods, Verification, Validation

PS Lab conducts scientific research on mathematical phenomena on programming. Its scope includes construction of mathematical model of programs (program semantics), rigorous specification of information processing systems, validation and verification.

★ Agda (dependently typed functional language,
proof description language)
★ Assurance case (documentation of validation)
・ Open Systems Dependability

・ Correctness by construction using
    constructive type theory
・ Control theory based on coalgebras
・ Mathematical methods of system
    construction (formal methods,
    semiformal methods)

Network Orchestration Laboratory
(NICT - Kobayashi Lab.)

　Large-Scale Network Infrastructure, New Generation Networks

We are conducting research on the technologies that enable the evolution of theInternet in collaboration with NICT. In particular, we are developing JGN-X, ourglobal network testbed, to stimulate R&D activities on novel network infrastructuretechnologies, large-scale experiments, and international joint projects.

・ New Generation Network Technologies
    Solve the problems with the Internet
・ Network Testbed Technologies (JGN-X)
    Enable environment for large-scale
    experiments

・ Software-Defined Network Technologies
    Realize programmable networks
・ Virtual Network Technologies
    Provide your personalized environment
    everywhere

Hide the details of Colaborative Laboratories

Admission Info

Admission Guidance

Detailed guidance about the entrance exam and every laboratory's researches will be presented.
Schedule:
　10:00-10:30
　13:00-13:30
IS Building, 1st Floor, Room L1

Admission Inquiry Desk

Faculty of the Graduate School of Information Science will be there to respond to your questions or consultation in person.
Any questions --- about the entrance exam system, careers after graduation, student life, and the like --- are welcomed.
The consulting desk is open from 10:00 to 17:00 and waiting for your visit.
IS Building, 1st Floor, next to Reception Desk

Admission Interview Show Room

You can see the actual room that is used for admission interview.
Schedule:
　Anytime between 10:00-17:00
IS Building, 1st Floor, Seminar Room P1

Thema-based Laboratories Tour

Tours will be provided based on laboratory research themes by current NAIST students.

You can choose any tour based on your research interest.
After the tour, you can visit again those laboratories that you are interested in.
Please make advance registration at the registration desk
1st-Tour: 10:30~ , 2nd-Tour: 13:30~
Folowing tours will be provided (Each tour: 3-5min/each-lab, 45min/total):
- Computer Science A
  Applied Algorithmics, Ubiquitous Computing Systems, Foundations of Software, Software Engineering, and Software Design and Analysis Labs.
- Computer Science B
  Computing Architecture, Dependable System, Internet Engineering, Internet Architecture and Systems Labs.
- Media Informatics
  Computational Linguistics, Augmented Human Communication, Network Systems, Vision and Media Computing, Interactive Media Design, and Ambient Intelligence Labs.
- Applied Informatics
  Robotics, Intelligent System Control, Mathematical Informatics, Computational Systems Biology, Large-Scale Systems Management Labs

Student Project CICP (Creative and International Competitiveness Project)
Poster Presentation, Demo and Contest

Please join voting for the best project!

General Track:

Augmented Reality system supporting the Match-making Party
PitchFlow: Better Guitar Sheet Music Library Through Real-time Editing and Award Strategy
BROCCOLI： An User-Specific Software Keyboard Learned from Typing Mistakes
Web-based dialogue system for mental disorders
Higgins: Your Very Own Teacher of English Pronunciation
Story meets Creator - Designing the sustainable system to support them based on Gamification-
Let‘s Fly!

Additional Track:

eCOStamp: Electronic Collectible Stamps
Dependable Gesture-based Human-Machine Interface for Machine Automation using DART Technology
NAIST-NAV : NAIST Open Campus Navigation and Information Service
HerbsMed: Herbal medicine apps using integrated Jamu and Kampo formulas

Last year's CICP demo

Gender Equality Promotion Office

NAIST female students will be giving talks Come together, ladies! You are the next role models!
Schedule:
11:35-12:10
15:00-15:30
Place: Graduate School of Biological Science building (1st Floor, Room L13)

Last year's lecture (The location will be different for this year)

Student Housing

Student dormitory is planned to be open for public.

Detailed information is Here
Anytime between：
10:00-12:00
13:00-15:00

Information regarding student dormitory is Here

Single Room

Overview

Access

Access Map

Campus Map and Access Map

Public Transport

There are three access points to NAIST: (Free shuttle bus will be provided on the event day)
- Gakken Kita Ikoma Station (Kintetsu Keihanna line) (Google Map)
  This is the nearest station to NAIST, connected from Osaka subway Chuo line. It takes 20 minutes to walk from Kintetsu Gakken Kita Ikoma Station to NAIST.
- Gakuenmae Station (Kintetsu Nara line) (Google Map)
  Directly connected from Kobe area by Hanshin railways.
- Takanohara Station (Kintetsu Kyoto line) (Google Map)
  This station is convenient for the access from Kyoto area.
Time table of the free shuttle bus and the regular Nara Kotsu bus service will be available here.
Access Information from Shinkansen/Airport is Here

Private Vehicle

Turn to the north direction at "Nara Sentan Dai Mae" junction of route 163. (Google Map)
Parking lot is available for 500 cars (free of charge).

Announcement

Schedule

Labs Intro & Demos

Admission Inquiry

Thematic Labs Tour

Student Demos

Gender Equality

Student Housing

Access

Japanese page

NAIST Top

GIS Top

Open Campus for Prospective Students 2014

Announcement

Schedule

March 8, 2014 (Saturday) 10:00-17:00 (in all weather conditions)

Visit Model of the Day

Laboratories Demo and Panel Exhibition