List
of research topics
as of August 28th,
2009
|
No. |
Research
Area |
Title of
research (Give a www
site for more information) |
Name of
Supervisor |
Student |
Limitation
of Acceptance |
Duration |
Comments |
|
Principles of Informatics Research Division |
|||||||
|
1 |
Principles of Informatics |
Domain based
knowledge acquisition and text mining |
Assoc. Prof. Nigel COLLIER (RA[y³φ) |
Master and Ph.D. students |
4 |
2 to 6 months |
|
|
2 |
Principles of Informatics |
Web-based health surveillance and text mining |
Assoc. Prof. Nigel COLLIER (RA[y³φ) |
Master and Ph.D. students |
2 to 6 months |
|
|
|
3 |
Chemoinformatics |
Informatics research for chemistry |
Assoc. Prof. Hiroko SATOH (²‘°qy³φ) |
Master and Ph.D. students |
No limitation |
2 to 6 months |
Interests of informatics technologies to chemistry are welcome. |
|
4 |
Numerical Analysis |
Topics
related to Numerical Linear Algebra or Numerical Analysis |
Prof. Ken HAYAMI (¬
³φ) |
Master and Ph.D. students |
2 |
2 to 6 months |
Basic knowledge in numerical linear algebra
or numerical analysis is desirable. |
|
5 |
Knowledge Processing |
Data
mining methods for linked data |
Assoc. Prof. Ryutaro ICHISE (s£y³φ) |
Master and Ph.D. students |
5 |
3
to 6 months |
|
|
6 |
Knowledge Processing |
Machine
learning methods for semantic integration |
Assoc. Prof. Ryutaro ICHISE (s£y³φ) |
Master and Ph.D. students |
3
to 6 months |
|
|
|
7 |
Principles of Informatics |
Adaptive
learning mechanism based on human-robot interaction http://www.iir.nii.ac.jp/index-e.html |
Assoc. Prof. Tetsunari INAMURA (ξWy³φ) |
Master and Ph.D. students |
6 |
3 to 6 months |
|
|
8 |
Principles of Informatics |
Behavior Imitation
on a Humanoid Robot |
Assoc. Prof. Tetsunari INAMURA (ξWy³φ) |
Master and Ph.D. students |
3 to 6 months |
|
|
|
9 |
Principles of Informatics |
Intelligent
tele-operation system for network robots |
Assoc. Prof. Tetsunari INAMURA (ξWy³φ) |
Master and Ph.D. students |
3 to 6 months |
|
|
|
10 |
Principles of Informatics |
Integration
of Robot Simulation and Social Agent Simulation |
Assoc. Prof. Tetsunari INAMURA (ξWy³φ) |
Master and Ph.D. students |
3 to 6 months |
|
|
|
11 |
Intelligent
Informatics, Systems Biology |
Automated
Reasoning and Machine Learning Techniques for Bioinformatics and Systems
Biology |
Prof. Katsumi INOUE (δγ€³φ) |
Master and Ph.D. students |
3 |
2 to 6 months |
Basic knowledge of
Artificial Intelligence, Computer Science, or Biology is required. |
|
12 |
Automated Reasoning,
Machine Learning |
Hypothesis Finding in (Multi-)Agent
Systems |
Prof. Katsumi INOUE (δγ€³φ) |
Master and Ph.D. students |
2 to 6 months |
||
|
13 |
Automated Reasoning,
Logic Programming |
Logic and
Constraint Programming |
Prof. Katsumi INOUE (δγ€³φ) |
Master and Ph.D. students |
2 to 6 months |
||
|
14 |
Principles of Informatics |
Logical
Implementation of multi-agent systems |
Prof. Ken SATOH |
Ph.D. student |
1 |
2 months |
|
|
15 |
Formal Language Theory |
Open Problems on
Multiple Context-Free Grammars and Related Formalisms |
Assoc. Prof. Makoto KANAZAWA (ΰςy³φ) |
Master and Ph.D. students |
2 |
3 to 6 months |
¦ reference 1 |
|
16 |
Principles of Informatics |
Graph Algorithm |
Assoc. Prof. Ken-ichi KAWARABAYASHI (Ν΄Ρy³φ) |
Master and Ph.D. students |
2 |
2 months |
|
|
17 |
Principles of Informatics |
Graph Theory &
Discrete Mathematics |
Assoc. Prof. Ken-ichi KAWARABAYASHI (Ν΄Ρy³φ) |
Master and Ph.D. students |
2 months |
|
|
|
18 |
Quantum information processing |
Quantum networks, quantum device,
and quantum optics |
Assoc. Prof. Kae NEMOTO (ͺ{y³φ) |
Master and Ph.D. students |
2 |
2 to 6 months |
|
|
19 |
Principles of Informatics |
Semantic
Web/ Linked Data |
Prof. Hideaki TAKEDA (c³φ) |
Master and Ph.D. students |
4 |
3 to 6 months |
|
|
20 |
Principles of Informatics |
Social Web/
Social Network Analysis |
Prof. Hideaki TAKEDA (c³φ) |
Master and Ph.D. students |
3 to 6 months |
|
|
|
21 |
Principles of Informatics |
Semantic Web
for Academic Publication and Communication |
Prof. Hideaki TAKEDA (c³φ) |
Master and Ph.D. students |
3 to 6 months |
|
|
|
22 |
Principles of Informatics |
Lambda-Calculus
and Type Theory |
Prof. Makoto TATSUTA (΄c³φ) |
Master or Ph.D. student |
1 |
2 to 6 months |
With knowledge of lambda-calculus, type
theory, or mathematical logic is better. |
|
Digital Content and Media Sciences Research Division |
|||||||
|
23 |
Digital Content and Media Sciences |
Statistical text
analysis/ text-based communication |
Prof. Akiko AIZAWA (ΰV³φ) |
Master and Ph.D. students |
2 |
6 months preferable |
Windows programming skill required |
|
24 |
Digital Content and Media Sciences |
Fundamental
techniques and systems for media security http://research.nii.ac.jp/~iechizen/official/content_e.html |
Assoc. Prof. Isao ECHIZEN (zOy³φ) |
Ph.D. students |
2 |
3 to 6 months |
|
|
25 |
Digital Content and Media Sciences |
Privacy in
e-Health |
Assoc. Prof. Isao ECHIZEN (zOy³φ) |
Ph.D. students |
3 to 6 months |
Programming skill is required. |
|
|
26 |
Digital Contents and Media Sciences |
Computational
photography (combining technologies for computer graphics, computer vision,
and photography) |
Assoc. Prof. Imari SATO (²‘’άθy³φ) |
Master and Ph.D. students |
2 |
5 to 6 months |
A basic knowledge of computer graphics and
good programming skills are required. |
|
27 |
Digital Content and Media Sciences |
Pervasive,
Quality-Assured Service Composition and Delivery |
Assist. Prof. Fuyuki ISHIKAWA (Ξμ³) |
Master and Ph.D. students |
2 |
2 to 6 months |
The start date must be in January or later. |
|
28 |
Database Application |
Emergency
information systems for meteorology and disaster reduction |
Assoc. Prof. Asanobu KITAMOTO (k{y³φ) |
Ph.D. preferred but also master |
No limitation |
2 to 6 months |
Programming skill
and /or domain knowledge on application areas is required. |
|
29 |
Earth Environment |
Earth
environmental informatics for agriculture, biodiversity, and climate change http://agora.ex.nii.ac.jp/~kitamoto/research/earth/ |
Assoc. Prof. Asanobu KITAMOTO (k{y³φ) |
Ph.D. preferred but also master |
2 to 6 months |
||
|
30 |
Digital Archives |
Cultural
heritage informatics for 3D modeling and multilingual processing |
Assoc. Prof. Asanobu KITAMOTO (k{y³φ) |
Ph.D. preferred but also master |
2 to 6 months |
||
|
31 |
Image Analysis |
Content-based
image retrieval |
Assoc. Prof. Asanobu KITAMOTO (k{y³φ) |
Ph.D. preferred but also master |
2 to 6 months |
||
|
32 |
Digital Content and Media Sciences |
R&D in the Foundations of the 3D Internet
(OpenSimulator, Second Life) |
Assoc. Prof. Helmut Prendinger (vfBK[y³φ) |
Master and Ph.D. students |
9 |
3 to 6 months (longer stay preferred) |
Solid programming skills |
|
33 |
Digital Content and Media Sciences |
Participatory
Science and Scientific Visualization in the 3D Internet (Bio and
Environmental Science, Agriculture, Astrophysics) |
Assoc. Prof. Helmut Prendinger (vfBK[y³φ) |
Master and Ph.D. students |
3 to 6 months (longer stay preferred) |
||
|
34 |
Digital Content and Media Sciences |
The New
e-Science: Integration Grid and HPC Technology with the 3D Internet and
Web2.0 |
Assoc. Prof. Helmut Prendinger (vfBK[y³φ) |
Master and Ph.D. students |
3 to 6 months (longer stay preferred) |
||
|
35 |
Digital Content and Media Sciences |
Search and Annotation in Virtual Worlds: How
can we ggoogleh the 3D space? |
Assoc. Prof. Helmut Prendinger (vfBK[y³φ) |
Master and Ph.D. students |
3 to 6 months (longer stay preferred) |
||
|
36 |
Computer vision |
One of the
following topics. E
3D Object modeling using a range scanner E
Recognizing human activities from video E
Multiple-view geometry |
Prof. Akihiro SUGIMOTO i{³φj |
Ph.D. students |
3 |
3 to 6 months (longer is better) |
¦reference 2 |
|
37 |
Mathematical engineering |
Geometric
computing theory for integer points |
Prof. Akihiro SUGIMOTO i{³φj |
Ph.D. students |
3 to 6 months |
||
|
38 |
Video content analysis |
[Classification
of video shots into semantic categories: TRECVID High-level feature
extraction task] |
Prof. Shinfichi SATOH (²‘^κ³φ) |
Ph.D. students |
5 |
3 to 6 months |
|
|
39 |
Video content analysis |
[Video
search: TRECVID search task] |
Prof. Shinfichi SATOH (²‘^κ³φ) |
Ph.D. students |
3 to 6 months |
|
|
|
40 |
Video content analysis |
[TRECVID
content-based copy detection] |
Prof. Shinfichi SATOH (²‘^κ³φ) |
Ph.D. students |
3 to 6 months |
In addition, the application of the
technology to video mining can preferably be addressed |
|
|
41 |
Video content analysis |
[Surveillance video analysis: TRECVID Surveillance event detection] |
Prof. Shinfichi SATOH (²‘^κ³φ) |
Ph.D. students |
3 to 6 months |
|
|
|
42 |
Video content analysis |
[3D HCI For
Computer Vision and Video Editing Tasks] |
Prof. Shinfichi SATOH (²‘^κ³φ) |
Ph.D. students |
3 to 6 months |
¦Reference 3 |
|
|
43 |
Video content analysis |
[Improved
Sampling for Markovian Fields] |
Prof. Shinfichi SATOH (²‘^κ³φ) |
Ph.D. students |
3 to 6 months |
¦reference 4 |
|
|
44 |
Digital Content and Media Sciences |
Text stream mining based on latent topic
models |
Prof. Atsuhiro TAKASU i{³φj |
Master and Ph.D. students |
2 |
2 to 6 months |
|
|
45 |
Digital Content and Media Sciences |
Data integration and its
application to digital library system |
Prof. Atsuhiro TAKASU i{³φj |
Master and Ph.D. students |
2 to 6 months |
|
|
|
Information Systems
Architecture Science Research Division |
|||||||
|
46 |
Computer network |
Internet
traffic measurement and statistical analysis |
Assoc. Prof. Kensuke FUKUDA (cy³φ) |
Master and Ph.D. students |
2 |
5 to 6 months |
Solid programming skills in C or C++ |
|
47 |
Computer network |
Large scale topology network simulation |
Assoc. Prof. Kensuke FUKUDA (cy³φ) |
Master and Ph.D. students |
5 to 6 months |
||
|
48 |
Constraint Programming |
Theory and
Practice of Constraint Programming |
Assoc. Prof. Hiroshi HOSOBE (Χy³φ) |
Master and Ph.D. students |
2 |
2 to 6 months |
|
|
49 |
Software Engineering |
Bidirectional
Model Transformation for Software Development |
Prof. Zhenjiang HU (Σ³φ) |
Ph.D. students |
1 |
2 to 6 months |
|
|
50 |
Parallel Programming |
Skeletal
Parallel Programming for Multicore Architecture |
Prof. Zhenjiang HU (Σ³φ) |
Ph.D. students |
2 to 6 months |
|
|
|
51 |
Functional Programming |
Program
Transformation in Calculational Form |
Prof. Zhenjiang HU (Σ³φ) |
Ph.D. students |
2 to 6 months |
|
|
|
52 |
Information Systems Architecture Science |
Cloud
Computing |
Prof. Ichiro SATOH i²‘κY³φj |
Ph.D. students |
2 |
3 to 6 months |
|
|
53 |
Information Systems Architecture Science |
IT for support environment |
Prof. Ichiro SATOH i²‘κY³φj |
Ph.D. students |
3 to 6 months |
||
|
54 |
Information System Architecture Science |
Algebraic Specification of Ubiquitous Systems |
Prof. Shin NAKAJIMA (³φ) |
Master student |
1 |
5 to 6 months |
Please contact me
with email before your application |
|
55 |
Information System Architecture Science |
Modular
Checking of C Programs with Bounded Model Checker |
Prof. Shin NAKAJIMA (³φ) |
Ph.D. student |
5 to 6 months |
||
|
56 |
Information System Architecture Science |
Software Development with Event-B |
Prof. Shin NAKAJIMA (³φ) |
Master or Ph.D. student |
5 to 6 months |
||
|
Information and
Society Research Division |
|||||||
|
57 |
Information and Society |
Research on
Social impact of ITeS: IT-enabled services http://infonet.cse.kyutech.ac.jp/conf/saint09/workshop-CFPaper/ws-cfp-3.html |
Assoc. Prof. Hitoshi OKADA (ͺcy³φ) |
Master or Ph.D. student |
1 |
2 to 3 months |
|
|
58 |
Information and Public Policy |
Public
Policy Issues on IPTV, Broadband, Network Economics, and Open Source
Software. |
Assist. Prof. Masashi UEDA (γc³) |
Master and Ph.D. students |
2 |
2 to 6 months |
Natural science and social science
background students are welcome. |
|
Collaborative
Research Division |
|||||||
|
59 |
Collaborative Research Division |
Cache-Based
Query Result Estimation http://research.nii.ac.jp/~meh/internship/intern-proj-cache.doc |
Visiting Prof. Michael HOULE (t[qυ³φ) |
Master and Ph.D. students |
|
4 to 6 months |
C, C++ or Java programming skills |
|
60 |
Collaborative Research Division |
Distributed
Data Clustering http://research.nii.ac.jp/~meh/internship/intern-proj-pclust.doc |
Visiting Prof. Michael HOULE (t[qυ³φ) |
Master and Ph.D. students |
4 to 6 months |
C, C++ or Java programming skills |
|
|
61 |
Collaborative Research Division |
Correlation-Based
Outlier Detection http://research.nii.ac.jp/~meh/internship/intern-proj-outlier.doc |
Visiting Prof. Michael HOULE (t[qυ³φ) |
Master and Ph.D. students |
|
4 to 6 months |
C, C++ or Java programming skills |
|
62 |
Collaborative Research Division |
Efficient Indexing Using Rank Information http://research.nii.ac.jp/~meh/internship/intern-proj-rankindexing.doc |
Visiting Prof. Michael HOULE (t[qυ³φ) |
Master and Ph.D. students |
|
4 to 6 months |
Strong background in algorithmics; C, C++ or Java programming skills |
|
63 |
Collaborative Research Division |
Multimodal Data
Clustering http://research.nii.ac.jp/~meh/internship/intern-proj-morsc.doc |
Visiting Prof. Michael HOULE (t[qυ³φ) |
Master and Ph.D. students |
|
4 to 6 months |
C, C++ or Java programming skills |
¦
Reference
1.
(Topic No. 15) Candidates should have mastered
the basics of automata theory and be mathematically mature enough to be able to
prove new results on their own. See my recent publications and lecture notes
for the course gMathematical Linguisticsh, available on my web site, for
examples of research on this topic.
2.
(topic No. 37, 38) Rigorous background on
mathematics is required. In particular, sufficient knowledge of linear algebra,
graph theory and number theory are important requirements. Programming skills
on image processing or computer vision are also required.
3.
(Topic No.43) So far the selection of point in
movement, or the selection of numerous elements in a video database is a time
consuming and cumbersome operation. Appropriate modality in combination with machine
learning may help to perform these operation better. Students should have
interest in User Interfaces, Virtual Reality and Knowledge Representation.
4.
(Topic No.44) Gibbs sampling is slow. There are
many application specific ways to be explored make it faster. We are looking
for alternative methods for generating patterns and texture in an efficient
mean. Students should have interest in Statistical Frameworks.