Скачать презентацию SMA 2 Proposal LISA Leaders in Information Systems Скачать презентацию SMA 2 Proposal LISA Leaders in Information Systems

264ef9fd793ea05cd609dc4c7d431c8c.ppt

  • Количество слайдов: 31

SMA 2 Proposal LISA: Leaders in Information Systems and Architectures Angela GOH, NTU Stuart SMA 2 Proposal LISA: Leaders in Information Systems and Architectures Angela GOH, NTU Stuart MADNICK, MIT 1

Collaboration between • School of Computer Engineering, NTU • School of Computing, NUS • Collaboration between • School of Computer Engineering, NTU • School of Computing, NUS • Engineering Systems Division *, MIT • ESD is the first new educational division at MIT in over 25 years: - addresses complex systems problems - is to revolutionize, re-define, and re-invent the future of engineering - multi-disciplinary faculty with joint appointments in 9 MIT departments 2

LISA: Leaders in Information Systems and Architectures • An interdisciplinary approach to large-scale information LISA: Leaders in Information Systems and Architectures • An interdisciplinary approach to large-scale information systems and architecture challenges of the 21 st century • Academic Program – focus on knowledge and practice in information systems and their architecture • Research Program – investigate issues and develop solutions relating to the information grid 3

Education Targets (annual) Intake of 16 Research activities & Joint Thesis Singapore MIT Singapore Education Targets (annual) Intake of 16 Research activities & Joint Thesis Singapore MIT Singapore 18 months Dual Masters 13 leave Ph. D Program (3 -4 years) 3 to Ph. D program 4 “external” admitted to Ph. D at NTU/NUS 4

Dual Masters Structure MIT ESD degree in Engineering Systems I. Systems Theory, Design and Dual Masters Structure MIT ESD degree in Engineering Systems I. Systems Theory, Design and Architecture II. Socio- Technical/Enterprise Systems III. Research Methods TWO from Depth in Information Systems ONE from Challenging Applications of Information Systems NTU/NUS degree in Computer Science TWO from Research Methods THREE from Depth in Information Systems or (TWO from Depth in Information Systems and ONE from Challenging Applications of Information Systems ) 1 Research seminar 2 Research seminars TOTAL: 7 + joint Thesis 5

Research Motivation - Example You want to ship materials between USA and China via Research Motivation - Example You want to ship materials between USA and China via Singapore Wouldn’t it be great, if you could automatically … • Access all the information you need • Wherever it is, anywhere in the world • Whether in databases, web page, spreadsheets, … • In parallel, and seamlessly • and have it be automatically aggregated • Adjust for • Differences in currency, units (English vs metric), . . . • Be sure that the best quality data is used • and you know how good the quality is • And much more … 6

Research Theme: Information Grid GRID Computing Information GRID High Computation, Data Throughput & Reliability Research Theme: Information Grid GRID Computing Information GRID High Computation, Data Throughput & Reliability Internet Web Semantic Web High-quality information with rich semantics Positioning of the Information Grid 7

 • • • Research Highlights Flag. Ship To develop and deliver an operational • • • Research Highlights Flag. Ship To develop and deliver an operational Singapore-MIT Information Grid Infrastructure (SMIGI). • Theory, software, and testing facilities • High quality academic papers for journals and conferences • “Release” new version of SMIGI about once a year • Technology transfer to industry • Leverage expertise of MIT, NTU, NUS, Sim. Tech, IHPC, and National Grid Office Inter-University Research Serves a dual set of purposes: (1) demanding stress tests for SMIGI and (2) applying SMIGI to important application areas Host Annual International Conference on Information Grid Research (ICIGR) 8

Information Grid Services 1. Information Access & Delivery 2. Information Integration & Exchange 4. Information Grid Services 1. Information Access & Delivery 2. Information Integration & Exchange 4. Directory & Discovery 5. Agent 3. Semantics & Ontology 6. Quality & Performance 7. Policy, Authority & Resource Management Basic GRID and Network Services Data Layer (1 -5: Core Services, 6 -7: Extended Services) Overall Architecture – to ensure scalability, reliability, adaptability, etc. is a key systems challenge 9

10 10

Inter-University Projects (Advanced Application Areas) • • • Manufacturing Logistics / Supply Chain Product Inter-University Projects (Advanced Application Areas) • • • Manufacturing Logistics / Supply Chain Product Design Bio-informatics Healthcare National Security – Investigate all 5 application areas in first year – Ultimately narrowed down to 2 -3 applications to pursue in depth • Plus the Extended Information Grid Services 11

Summary of Faculty Involvement Flagship Research Teaching Inter-Univ TOTAL Research NTU/NUS 27 14 13 Summary of Faculty Involvement Flagship Research Teaching Inter-Univ TOTAL Research NTU/NUS 27 14 13 28 MIT 9 12 12 17 12

MIT Faculty Involvement 13 MIT Faculty Involvement 13

NTU/NUS Faculty Involvement 14 NTU/NUS Faculty Involvement 14

Summary of Current Letters of Commitment Infocomm Development Authority of Singapore (IDA) Institute for Summary of Current Letters of Commitment Infocomm Development Authority of Singapore (IDA) Institute for Infocomm Research Singapore Institute of Manufacturing Technology (SIMTech) Hewlett-Packard Singapore SES Systems Pte Ltd National Grid Yokogawa Engineering Asia Pte Ltd Sybase YCH Group Pte Ltd 15

Administration/Collaboration Steering Committee – Faculty & Administration Manage education/research aspects Advisory Committee – RI Administration/Collaboration Steering Committee – Faculty & Administration Manage education/research aspects Advisory Committee – RI & Industry Provide strategic advice and directions Administrative Office Provide day-to-day operations Mechanisms for Collaboration Annual Workshops; Joint Postdocs Flagship/Inter-University Project Leadership Each sub-project has a team of NTU-NUS/MIT PI’s 16

LISA Innovations • Unique academic combination – Computer Science and Engineering Systems • Important LISA Innovations • Unique academic combination – Computer Science and Engineering Systems • Important research in cross-border information infrastructure – Research and development of an advanced “Information Grid” – Host Annual International Conference on Information Grid Research • Addresses critical application areas – Manufacturing Logistics / Supply Chain, Product Design, Bio-informatics, Healthcare, National Security 17

Thank you Questions & Answers 18 Thank you Questions & Answers 18

MIT Engineering Systems “MIT Engineering Systems: Answering the Challenges of a Complex World” by MIT Engineering Systems “MIT Engineering Systems: Answering the Challenges of a Complex World” by Dean Thomas L. Magnanti – "The engineering profession today faces a number of unprecedented challenges, many reflecting the changed context in which engineers practice. It is no longer enough to design a product or a system without accounting for the world in which it will operate. “ – “We believe that the converging forces of increased system complexity and the social impact of technology -- combined with a need for increased leadership by engineers -- create opportunities for new directions in engineering education and practice. The most successful engineers must possess superb professional skills as engineers, including a keen understanding of social, regulatory, environmental, cultural, and other forces. In short. . . we need Engineering Systems. ” Source: MIT School of Engineering Newsletter, 2004 19

MIT Teaching and Research Faculty Senior Faculty: • Nazli CHOUCRI, Professor of Political Science, MIT Teaching and Research Faculty Senior Faculty: • Nazli CHOUCRI, Professor of Political Science, MIT School of Humanities and Social Studies, and Associate Director of the Technology and Development Program • C. Forbes DEWEY, Jr. , Professor of Mechanical Engineering and Bioengineering, MIT School of Engineering • Daniel HASTINGS, Professor of Aeronautics and Astronautics and Engineering Systems, MIT School of Engineering and Co-Director, Engineering Systems Division, MIT School of Engineering • Steven LERMAN, Class of 1922 Professor of Civil and Environmental Engineering, MIT School of Engineering • Nancy LEVESON, Professor of Aeronautics and Astronautics and Professor of Engineering Systems, MIT School of Engineering • Stuart MADNICK, John Norris Maguire Professor of Information Technology, MIT Sloan School of Management and Professor of Engineering Systems, MIT School of Engineering • Joel MOSES, Institute Professor of Computer Science and Engineering and Professor of Engineering Systems, MIT School of Engineering • Deborah NIGHTINGALE, Professor of the Practice of Aeronautics and Astronautics and Engineering Systems, MIT School of Engineering, and Director, Lean Aerospace Initiative • Yossi SHEFFI, Professor of Civil and Environmental Engineering and Engineering Systems, MIT School of Engineering, and Director, Center for Transportation and Logistics • John STERMAN, Jay W. Forrester Professor of Management, MIT Sloan School of Management; Director of System Dynamics Group • Joseph SUSSMAN, JR East Professor of Civil and Environmental Engineering and Engineering Systems, MIT School of Engineering • John WILLIAMS, Associate Professor of Civil and Environmental Engineering, MIT School of Engineering and Professor of Engineering Systems, MIT School of Engineering. • Daniel WHITNEY, Senior Lecturer in Engineering Systems, MIT School of Engineering and Senior Research Scientist, Center for Technology, Policy and Industrial Development, MIT School of Engineering. Junior Faculty: • Benjamin GROSOF, Douglas Drane Assistant Professor in Information Technology, MIT Sloan School of Management MIT Principal Research Associates • Michael SIEGEL, Principal Research Associate, Information Technologies Group, MIT Sloan School 20 of Management; co-head MIT PROductivity from Information Technology (PROFIT) Program.

NTU-NUS Teaching & Research Faculty • • • • • • Angela Eck Soong NTU-NUS Teaching & Research Faculty • • • • • • Angela Eck Soong GOH, Professor and Vice Dean, NTU School of Computer Engineering Francis Bu Sung LEE, Associate Professor and Vice Dean, NTU School of Computer Engineering Ee Peng LIM, Associate Professor and Head, Division of Information Systems, NTU School of Computer Engineering Wee-Keong NG, Associate Professor and Director, Center for Advanced Information Systems, NTU School of Computer Engineering Stephen John TURNER, Associate Professor and Director, Parallel and Distributed Computing Centre, NTU School of Computer Engineering Ah-Hwee TAN, Associate Professor, NTU School of Computer Engineering Narendra CHAUDHARI, Associate Professor, NTU School of Computer Engineering Simon Chong-Wee SEE, Associate Professor (Adjunct), NTU Nanyang Supercomputing and Visualisation Centre Sourav Saha BHOWMICK, Assistant Professor, NTU School of Computer Engineering Chunyan MIAO, Assistant Professor, NTU School of Computer Engineering Kevin Kok Wai WONG, Assistant Professor, NTU School of Computer Engineering Xueyan TANG, Assistant Professor, NTU School of Computer Engineering Yew Soon ONG, Assistant Professor, NTU School of Computer Engineering Kuiyu CHANG, Assistant Professor, NTU School of Computer Engineering Kiam Tian SEOW, Assistant Professor, NTU School of Computer Engineering Beng Chin OOI, Professor and Vice Dean (Academic Affairs and Graduate Studies), Dept of Computer Science, NUS School of Computing Tok Wang LING, Professor, Dept of Computer Science, NUS School of Computing Kian-Lee TAN, Associate Professor and Deputy Head, Dept of Computer Science, NUS School of Computing Chew Lim TAN, Associate Professor, NUS School of Computing Yong-Meng TEO, Associate Professor, NUS School of Computing Janice Mong-Li LEE, Assistant Professor, NUS School of Computing Stéphane BRESSAN, Senior Fellow, NUS School of Computing 21

I 2 R/SIMTech/National Grid/IHPC Teaching & Research Faculty • • • Hwee Hwa PANG, I 2 R/SIMTech/National Grid/IHPC Teaching & Research Faculty • • • Hwee Hwa PANG, Director of the Services and Applications Division, Institute for Infocomm Research Mun Kew LEONG, Manager of the Media Semantics Department, Institute for Infocomm Research Eng Wah LEE, Senior Scientist, Singapore Institute of Manufacturing Technology (SIMTech) Puay Siew TAN, Senior Research Engineer, Singapore Institute of Manufacturing Technology (SIMTech) Hing Yan LEE, Deputy Director, Singapore National Grid Office Terence Gih Guang HUNG, Programme Manager, Institute of High Performance Computing 22

LISA Curriculum and Key Subjects I. Systems Theory, Design and Architecture (one of the LISA Curriculum and Key Subjects I. Systems Theory, Design and Architecture (one of the following) • ESD. 34 J System Architecture • ESD. xxx Foundations of System Architecture II. Socio-Technical/Enterprise Systems • ESD. 565 J Integrating Information Systems: Technology, Strategy, and Organizational Factors III. Research Methods • • MIT Requirement (one of the following) ESD. 74 J System Dynamics for Engineers 15. 874 System Dynamics for Business Policy NTU/NUS Requirement (two of the following) H 6429 Computational Intelligence, Methods and Applications CPE 428 Modeling and Simulation DM 6121 Human Computer Interaction CS 5223 Distributed Systems CS 5221 Parallel Computer Systems 23

LISA Curriculum and Key Subjects IV. Depth in Information Systems • • MIT Requirement LISA Curriculum and Key Subjects IV. Depth in Information Systems • • MIT Requirement (two of the following courses) • • • ESD. 264 J Database, Internet, and Systems Integration Technologies ESD. 341 J Web System Architecting: Building Web Services ESD. 355 J Concepts in the Engineering of Software ESD. 132 J Law, Technology, and Public Policy Other possible ESD choices may include (subject to approval of faculty): ESD. 127 Telecommunications Modeling and Policy Analysis ESD. 210 J Computer Algorithms for Systems Analysis ESD. 221 J An Introduction to Intelligent Transportation Systems • • • H 6404 Data Mining CPE 403 Advanced Data Management Techniques CPE 429 Software Testing DM 6102 Multimedia Information Management CSC 416 Intelligent Agents CS 5231 Cryptographic Techniques and Data Security NTU/NUS Requirement (3 of the following or 2 from IV, plus one from V) 24

LISA Curriculum and Key Subjects V. Challenging Applications of Information Systems MIT Requirement (one LISA Curriculum and Key Subjects V. Challenging Applications of Information Systems MIT Requirement (one of the following) • ESD. 260 J/15. 770 J Logistics Systems • ESD 61 J/16. 852 J Integrating The Lean Enterprise • 2. 771 J/BE. 43 J/HST. 958 J Biomedical Information Technology • 6. 872 J/ HST. 950 J Medical Computing • 17. 422 Field Seminar in International Political Economy NTU/NUS Requirement (option of one of the following in lieu of one course in IV: Depth in Information Systems) • BI 6121 High Performance Computing for Bioinformatics • CS 5238 Combinatorial Methods in Bioinformatics VI. Mandatory seminar series • SMA 001 – LISA Joint Research Seminar 25

LISA Dual Masters degree program and “internal” Doctoral students Trajectory 26 LISA Dual Masters degree program and “internal” Doctoral students Trajectory 26

LISA “external” Doctoral students Trajectory 27 LISA “external” Doctoral students Trajectory 27

Information Grid - Core Services • Information Access & Delivery Services – – – Information Grid - Core Services • Information Access & Delivery Services – – – Provides personalized multi/cross-lingual information retrieval and query services over vast number of autonomous/quasi-autonomous and heterogeneous data sources Provides conversion/transformation/wrapper service to access&deliver diverse data formats Provides smart deployment services for publishing/pushing/advertising information • Information Integration & Exchange Services • Semantics & Ontology Services – – – – • Provides collaborative ontology and rules management and maintenance services over different domains, thereby allowing domain-experts to collaboratively maintain ontologies and rule-bases Provides services for the convenient and rapid acquisition of new ontology and rules Provides tools to semantically enrich (mark-up) data/services using ontologies and rules Provides translations between heterogeneous forms of ontologies and rules Provides inferencing services (both query-answering/backward and data-driven/forward) for ontologies and rules Directory & Discovery Services – – • Provides collation services for resolving data heterogeneity Provides brokering, contracting, and negotiation services for smart information barter/trade/collaboration Provides indexing services to create and maintain a distributed smart information and service directory (yellow page) based on intelligent data-mining of resources Provides match-making services to discover relevant consumers and publishers alike Agent Services – – Provides intelligent agent services for automating/aggregating various (where applicable) 28 Information Grid functionalities or realizing new and novel functions

Information Grid - Extended Services • Quality/Reliability/Performance Services – Provides services to incorporate domain-specific Information Grid - Extended Services • Quality/Reliability/Performance Services – Provides services to incorporate domain-specific metrics/methods/notions for the automatic or semi-automatic assessment/rating of service quality – Provides capabilities for measuring and improving data quality – Provides approaches to improve software quality and reduce or eliminate system failures – Provides monitoring, tuning, and fault-tolerant mechanisms for achieving desired performance and/or quality – Provides capabilities for monitoring execution and validating services relevant to negotiated agreements • Policy, Authority & Resource Management Services – Provides fine-granularity security services for the access of information and services – Provides authority aggregation/inference services for multiple resources of varying authority – Incorporates mechanisms to address and support regulatory policies on information reuse and repurposing 29

LISA: Features & Strengths • Singapore is putting a heavy investment in core grid LISA: Features & Strengths • Singapore is putting a heavy investment in core grid technology (refer to IDAs Newsletter [May issue]); building middleware services as proposed in LISA is both complementary and essential to ensure effective use of the grid technology • SMIGI services are generic and apply to many domains • The academic component is a unique blend of computer science, information systems, and engineering systems • The academic program intends to create "leaders" with broader array of career opportunities and will be important asset to Singapore • Academic model is based on MITs successful Leaders in Manufacturing (LFM) program • A collaboration involving a broad array of RIs including I 2 R, SIMTech, IHPC. • Endorsement and interest of organisations (Government agencies such as IDA, vendors such as HP, application users such as SES) • Commitment by the National Grid Office • Several collaborators have SMA 1 experience (S. Madnick, BS Ooi, KL Tan, YM Teo) 30

31 31