1. NỘI DUNG HỢP TÁC GIỮA VIỆN CNTT-TT, ĐHBKHN VÀ NATIONAL INSTITUTE
OF INFORMATICS, JAPAN VỀ THỰC TẬP NGẮN HẠN CỦA HỌC VIÊN CAO HỌC
VÀ NGHIÊN CỨU SINH.
1. Target candidates:
Master's and/or Ph. D. degree students who are enrolled in the partner
institutions that have signed MOU agreements with NII.
Note: Those who have obtained the Doctor of Philosophy degree before
the start of internship program are not qualified as internship students.
2. Time frame:
Interns accepted for this program will participate for two to six months, with
the start during the period from December 2009 to March 2010.
3. Application:
• Candidates
-Fill out the NII International Internship Program application form and
submit it to your supervisor.
-Choose up to three topics out of the list of research topics.
-No direct application from candidates is accepted.
• Each partner Institution
-Collect application forms from candidates and after making its selection, send
them to NII via e-mail.
-Each partner institution can send a maximum of three applications.
4. Sojourn expenses:
Interns will receive 5,700 yen (about US $60 or €42) per day as sojourn
expenses (171,000 yen (about US $1,800 or € 1,250) /30 days.)
Transportation expenses are in principal not paid.
5. Selection:
Screening of applicants is conducted by each NII laboratory according to the
research topics selected by an applicant.
6. Application deadline:
Application deadline is October 23, 2009.
7. Notification:
Notification to successful applicants after November 4, 2009.
Phụ lục A. Danh sách các chủ đề nghiên cứu (as of August 28th, 2009)
Title of research Limitati
Name of on of Comm
No. Research Area (Give a www site for more Student Duration
Supervisor Accepta ents
information) nce
Principles of Informatics Research Division

2. Assoc. Prof.
Nigel 2 to 6
Domain based knowledge Master and
Principles of COLLIER months
1 acquisition and text mining Ph.D.
Informatics
http://research.nii.ac.jp/~collier (コリアー准教 students
授)
4
Assoc. Prof.
Nigel 2 to 6
Web-based health surveillance and Master and
Principles of COLLIER months
2 text mining Ph.D.
Informatics
http://research.nii.ac.jp/~collier (コリアー准教 students
授)
Interes
ts of
inform
Assoc. Prof. atics
Informatics research for chemistry Hiroko SATOH Master and No technol
2 to 6
3 Chemoinformatics http://research.nii.ac.jp/~hsatoh/index- Ph.D. limitati ogies
(佐藤寛子准教 months
e.html students on to
授) chemis
try are
welco
me.
Basic
knowle
dge in
numeri
cal
Topics related to Numerical Linear Prof. linear
Master and
Numerical Algebra or Numerical Analysis Ken HAYAMI 2 to 6 algebra
4 Ph.D. 2
Analysis http://research.nii.ac.jp/~hayami/index- months or
(速水教授) students
e.html numeri
cal
analysi
s is
desirab
le.
Assoc. Prof.
Ryutaro Master and
Knowledge Data mining methods for linked data 3 to 6
5 ICHISE Ph.D.
Processing http://ri-www.nii.ac.jp/ months
students
(市瀬准教授)
5
Assoc. Prof.
Machine learning methods for semantic Ryutaro Master and
Knowledge 3 to 6
6 integration ICHISE Ph.D.
Processing months
http://ri-www.nii.ac.jp/ students
(市瀬准教授)

3. Assoc. Prof.
Adaptive learning mechanism based on Tetsunari Master and 3 to 6
Principles of
7 human-robot interaction INAMURA Ph.D. months
Informatics
http://www.iir.nii.ac.jp/index-e.html students
(稲邑准教授)
Assoc. Prof.
Behavior Imitation on a Humanoid Tetsunari Master and 3 to 6
Principles of
8 Robot INAMURA Ph.D. months
Informatics
http://www.iir.nii.ac.jp/index_e.html students
(稲邑准教授)
6
Assoc. Prof.
Intelligent tele-operation system for Tetsunari Master and 3 to 6
Principles of months
9 network robots INAMURA Ph.D.
Informatics
http://www.iir.nii.ac.jp/index_e.html students
(稲邑准教授)
Assoc. Prof.
Integration of Robot Simulation and Tetsunari Master and 3 to 6
Principles of
10 Social Agent Simulation INAMURA Ph.D. months
Informatics
http://www.iir.nii.ac.jp/index_e.html students
(稲邑准教授)
Prof. Basic
Automated Reasoning and Machine Katsumi knowle
Intelligent Master and 2 to 6
Learning Techniques for INOUE dge of
11 Informatics, Ph.D. months
Bioinformatics and Systems Biology Artifici
Systems Biology (井上克巳教 students
http://research.nii.ac.jp/il/ al
授) Intellig
Prof. ence,
2 to 6
Katsumi Compu
Automated Hypothesis Finding in Master and months
INOUE ter
12 Reasoning, (Multi-)Agent Systems Ph.D. Scienc
Machine Learning http://research.nii.ac.jp/il/ (井上克巳教 students e, or
授) Biolog
3
y is
require
d.
Prof. Please
Katsumi 2 to 6 contact
Automated Master and months
Logic and Constraint Programming INOUE Prof.
13 Reasoning, Logic Ph.D. Inoue
http://research.nii.ac.jp/il/ (井上克巳教
Programming students by
授) email
in
advanc
e.
Prof.
Principles of Logical Implementation of multi-agent Ken SATOH Ph.D.
14 1 2 months
Informatics systems student
(佐藤健教授)
Open Problems on Multiple Context- Assoc. Prof.
Makoto Master and ※
Formal Language Free Grammars and Related 3 to 6
15 KANAZAWA Ph.D. 2 referen
Theory Formalisms months
students ce 1
http://research.nii.ac.jp/~kanazawa/ (金沢准教授)

4. Assoc. Prof.
Ken-ichi
KAWARABAY Master and 2 months
Principles of
16 Graph Algorithm ASHI Ph.D.
Informatics
students
(河原林准教
授)
2
Assoc. Prof.
Ken-ichi
KAWARABAY Master and 2 months
Principles of
17 Graph Theory & Discrete Mathematics ASHI Ph.D.
Informatics
students
(河原林准教
授)
Assoc. Prof.
Quantum Quantum networks, quantum device, Kae Master and
2 to 6
18 information and quantum optics NEMOTO Ph.D. 2
months
processing http://www.qis.ex.nii.ac.jp students
(根本准教授)
Prof.
Semantic Web/ Linked Data Hideaki Master and
Principles of 3 to 6
19 http://www- TAKEDA Ph.D.
Informatics months
kasm.nii.ac.jp/~takeda/index.html students
(武田教授)
Prof.
Social Web/ Social Network Analysis Hideaki Master and
Principles of 4 3 to 6
20 http://www- TAKEDA Ph.D.
Informatics months
kasm.nii.ac.jp/~takeda/index.html students
(武田教授)
Semantic Web for Academic Prof.
Hideaki Master and
Principles of Publication and Communication 3 to 6
21 TAKEDA Ph.D.
Informatics http://www- months
students
kasm.nii.ac.jp/~takeda/index.html (武田教授)
With
knowle
dge of
lambda
Prof. -
Lambda-Calculus and Type Theory Makoto Master or calculu
Principles of 2 to 6
22 http://research.nii.ac.jp/~tatsuta/index- TATSUTA Ph.D. 1 s, type
Informatics months
e.html student theory,
(龍田教授) or
mathe
matical
logic is
better.
Digital Content and Media Sciences Research Division
Windo
Prof. ws
Akiko Master and 6 months progra
Digital Content and Statistical text analysis/ text-
23 AIZAWA Ph.D. 2 preferabl mming
Media Sciences based communication
students e skill
(相澤教授) require
d

5. Fundamental techniques and systems Assoc. Prof.
Digital Content and for media security Isao ECHIZEN Ph.D. 3 to 6
24
Media Sciences http://research.nii.ac.jp/~iechizen/offici students months
al/content_e.html (越前准教授)
2
Progra
Privacy in e-Health Assoc. Prof. mming
Digital Content and Isao ECHIZEN Ph.D. 3 to 6
25 http://research.nii.ac.jp/~iechizen/offici skill is
Media Sciences students months
al/content_e.html (越前准教授) require
d.
A
basic
knowle
dge of
compu
Computational photography Assoc. Prof. ter
Digital Contents (combining technologies for computer Imari SATO Master and graphi
5 to 6
26 and Media graphics, computer vision, and Ph.D. 2 cs and
(佐藤いまり准 months
Sciences photography) students good
http://research.nii.ac.jp/~imarik 教授) progra
mming
skills
are
require
d.
The
start
Pervasive, Quality-Assured Service Assist. Prof. date
Fuyuki Master and
Digital Content and Composition and Delivery 2 to 6 must
27 ISHIKAWA Ph.D. 2
Media Sciences http://research.nii.ac.jp/~f- months be in
students
ishikawa/internships/ (石川助教) Januar
y or
later.
Assoc. Prof. Ph.D.
Emergency information systems for Asanobu 2 to 6
Database preferred
28 meteorology and disaster reduction KITAMOTO months
Application but also
http://www.digital-typhoon.org/ Progra
(北本准教授) master
mming
Earth environmental informatics for skill
agriculture, biodiversity, and climate Assoc. Prof. Ph.D. 2 to 6 and /or
change Asanobu preferred months
29 Earth Environment domai
http://agora.ex.nii.ac.jp/~kitamoto/re KITAMOTO but also n
search/earth/ (北本准教授) master No
knowle
http://earth.nii.ac.jp/ limitati 2 to 6 dge on
Assoc. Prof. on months
Cultural heritage informatics for 3D Ph.D. applica
modeling and multilingual Asanobu preferred tion
30 Digital Archives KITAMOTO
processing but also areas
http://dsr.nii.ac.jp/ (北本准教授) master is
Assoc. Prof. require
Ph.D. 2 to 6
Content-based image retrieval Asanobu d.
preferred months
31 Image Analysis http://agora.ex.nii.ac.jp/~kitamoto/re KITAMOTO but also
search/cbir/
(北本准教授) master

6. Assoc. Prof. 3 to 6
R&D in the Foundations of the 3D
Helmut months
Internet (OpenSimulator, Second Master and
Digital Content and Prendinger (longer
32 Life) Ph.D.
Media Sciences stay
http://www.prendingerlab.net/global (プレディン students
preferred
lab/
ガー准教授) )
Participatory Science and Scientific Assoc. Prof. 3 to 6
Visualization in the 3D Internet (Bio Helmut months
Master and
Digital Content and and Environmental Science, Prendinger (longer
33 Ph.D.
Media Sciences Agriculture, Astrophysics) stay
(プレディン students
http://www.prendingerlab.net/global preferred
lab/ ガー准教授) ) Solid
progra
9
mming
skills
Assoc. Prof. 3 to 6
The New e-Science: Integration Grid
Helmut months
and HPC Technology with the 3D Master and
Digital Content and Prendinger (longer
34 Internet and Web2.0 Ph.D.
Media Sciences stay
http://www.prendingerlab.net/globallab (プレディン students
preferred
/
ガー准教授) )
Assoc. Prof. 3 to 6
Search and Annotation in Virtual
Helmut months
Worlds: How can we “google” the 3D Master and
Digital Content and Prendinger (longer
35 space? Ph.D.
Media Sciences stay
http://www.prendingerlab.net/globallab (プレディン students
preferred
/
ガー准教授) )
One of the following topics.
・ 3D Object modeling using a range Prof.
scanner 3 to 6
Akihiro Ph.D. months
36 Computer vision
・ Recognizing human activities from SUGIMOTO students (longer is
video better)
（杉本教授）
・ Multiple-view geometry ※refer
http://research.nii.ac.jp/~sugimoto/ 3
ence 2
Prof.
Mathematical Geometric computing theory for Akihiro Ph.D. 3 to 6
37 SUGIMOTO
engineering integer points students months
（杉本教授）

7. [Classification of video shots into
Prof.
semantic categories: TRECVID High-
Shin’ichi
level feature extraction task]
Video content SATOH Ph.D. 3 to 6
38 http://www-
analysis students months
nlpir.nist.gov/projects/tv2009/tv2009.ht (佐藤真一教
ml
授)
http://research.nii.ac.jp/~satoh/
Prof.
[Video search: TRECVID search task]
Shin’ichi
http://www-
Video content SATOH Ph.D. 3 to 6
39 nlpir.nist.gov/projects/tv2009/tv2009.ht
analysis students months
ml (佐藤真一教
http://research.nii.ac.jp/~satoh/
授)
In
[TRECVID content-based copy Prof. additio
detection] Shin’ichi n, the
Video content http://www- SATOH Ph.D. applica
40
analysis nlpir.nist.gov/projects/tv2009/tv2009.ht students tion of
(佐藤真一教
ml the
http://research.nii.ac.jp/~satoh/ 授) technol
3 to 6
ogy to
months
[Surveillance video analysis: video
Prof. 5
TRECVID Surveillance event mining
Shin’ichi can
detection]
Video content SATOH Ph.D. prefera
41 http://www-
analysis students
nlpir.nist.gov/projects/tv2009/tv2009.ht (佐藤真一教 bly be
ml addres
授) sed
http://research.nii.ac.jp/~satoh/
Prof.
Shin’ichi
[3D HCI For Computer Vision and
Video content SATOH Ph.D. 3 to 6
42 Video Editing Tasks]
analysis students months
http://research.nii.ac.jp/~satoh/ (佐藤真一教
授)
Prof. 3 to 6 ※Refe
Shin’ichi
[Improved Sampling for Markovian months rence 3
Video content SATOH Ph.D.
43 Fields]
analysis students
http://research.nii.ac.jp/~satoh/ (佐藤真一教
授) 3 to 6 ※refer
months ence 4
Text stream mining based on latent Prof. 2 to 6
Atsuhiro Master and months
Digital Content and topic models
44 TAKASU Ph.D.
Media Sciences http://www.ldear.nii.ac.jp/~takasu/en/i
students
ndex.php （高須教授）
2
Prof. 2 to 6
Data integration and its application to Atsuhiro Master and months
Digital Content and digital library system
45 TAKASU Ph.D.
Media Sciences http://www.ldear.nii.ac.jp/~takasu/en/in
dex.php students
（高須教授）
Information Systems Architecture Science Research Division

8. Assoc.
Prof. 5 to 6
Kensuke months
Master and
Internet traffic measurement and statistical FUKUD
46 Computer network Ph.D.
analysis A
students
(福田准 Solid
progra
教授) mming
2
Assoc. skills
Prof. 5 to 6 in C or
Kensuke months C++
Master and
FUKUD
47 Computer network Large scale topology network simulation Ph.D.
A
students
(福田准
教授)
Assoc.
Prof.
Hiroshi
Theory and Practice of Constraint Master and
Constraint HOSOB 2 to 6
48 Programming Ph.D. 2
Programming E months
http://research.nii.ac.jp/~hosobe/intern.html students
(細部准
教授)
Prof.
Bidirectional Model Transformation for Zhenjian
Software Ph.D. 2 to 6
49 Software Development g HU
Engineering students months
http://www.biglab.org/
(胡教授)
Skeletal Parallel Programming for Multicore Prof.
Parallel Architecture Zhenjian Ph.D. 2 to 6
50 g HU 1 months
Programming http://research.nii.ac.jp/~hu/project/skepara.ht students
ml (胡教授)
Prof.
Program Transformation in Calculational Zhenjian 2 to 6
Functional Ph.D.
51 Form g HU months
Programming students
http://research.nii.ac.jp/~hu/project/CFP.html
(胡教授)
Prof.
Ichiro
Information SATOH
Systems
52 Cloud Computing （ 佐 藤
Architecture
Science 一 郎 教
授）
Prof.
Ichiro
Information SATOH
Systems
53 IT for support environment （ 佐 藤
Architecture
Science 一 郎 教
授）

9. Prof.
Shin
Information
NAKAJ
System Algebraic Specification of Ubiquitous Master 5 to 6
54
Architecture Systems IMA student months
Science (中島教
授) Please
Prof. 5 to 6 contact
Shin months me
Information
NAKAJ with
System Modular Checking of C Programs with Ph.D.
55 IMA 1 email
Architecture Bounded Model Checker student
before
Science (中島教 your
授) applica
Prof. 5 to 6 tion
Shin months
Information
NAKAJ Master or
System
56
Architecture
Software Development with Event-B IMA Ph.D.
student
Science (中島教
授)
Information and Society Research Division
Research on Social impact of ITeS: Assoc. Prof.
IT-enabled services Hitoshi Master or
Information and 2 to 3
57 http://www.ipsj.or.jp/engligh/saint/2 OKADA Ph.D. 1
Society months
009/workshop-CFPaper-ws- student
cfp-3.html (岡田准教授)
Natura
l
science
and
Public Policy Issues on IPTV, Assist. Prof. social
Master and
Information and Masashi UEDA 2 to 6 science
58 Broadband, Network Economics, and Ph.D. 2
Public Policy months backgr
Open Source Software. (上田助教) students
ound
student
s are
welco
me.
Collaborative Research Division
Visiting Prof. C, C+
Cache-Based Query Result Estimation Michael + or
Master and 4 to 6 Java
Collaborative HOULE
59 Ph.D. months progra
Research Division http://research.nii.ac.jp/~meh/internshi (フール客員教 students mming
p/intern-proj-cache.doc
授) skills
Visiting Prof. C, C+
Distributed Data Clustering Michael + or
Master and 4 to 6 Java
Collaborative HOULE
60 Ph.D. months progra
Research Division http://research.nii.ac.jp/~meh/internshi (フール客員教 students mming
p/intern-proj-pclust.doc
授) skills
Visiting Prof. C, C+
Correlation-Based Outlier Detection Michael + or
Master and
Collaborative HOULE 4 to 6 Java
61 Ph.D.
Research Division http://research.nii.ac.jp/~meh/internshi months progra
(フール客員教 students
p/intern-proj-outlier.doc mming
授) skills

10. Strong
backgr
ound
Efficient Indexing Using Rank Visiting Prof. in
Information Michael algorit
Master and
Collaborative HOULE 4 to 6 hmics;
62 Ph.D.
Research Division months C, C+
http://research.nii.ac.jp/~meh/internshi (フール客員教 students
+ or
p/intern-proj-rankindexing.doc 授) Java
progra
mming
skills
Visiting Prof. C, C+
Multimodal Data Clustering Michael + or
Master and
Collaborative HOULE 4 to 6 Java
63 Ph.D.
Research Division http://research.nii.ac.jp/~meh/internshi months progra
(フール客員教 students
p/intern-proj-morsc.doc mming
授) 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 “Mathematical Linguistics”, 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.