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NỘI DUNG HỢP TÁC GIỮA VIỆN CNTT-TT, ĐHBKHN VÀ NATIONAL ...

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  • 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.

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