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SMA2 Proposal LISA: Leaders in Information Systems and Architectures

SMA2 Proposal LISA: Leaders in Information Systems and Architectures. Angela GOH, NTU Stuart MADNICK, MIT. Collaboration between. School of Computer Engineering, NTU School of Computing, NUS Engineering Systems Division *, MIT.

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SMA2 Proposal LISA: Leaders in Information Systems and Architectures

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  1. SMA2 ProposalLISA: Leaders in Information Systems and Architectures Angela GOH, NTUStuart MADNICK, MIT

  2. 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

  3. LISA: Leaders in Information Systems and Architectures • An interdisciplinary approach to large-scale information systems and architecture challenges of the 21st 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

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

  5. Dual Masters Structure

  6. 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 much more …

  7. 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

  8. Research Highlights • FlagShip 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, SimTech, 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)

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

  10. 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

  12. MIT Faculty Involvement

  13. NTU/NUS Faculty Involvement

  14. 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 YCHGroup Pte Ltd

  15. 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; JointPostdocs • 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 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. 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. Engineering Profession Must Adapt to Maintain Future Leadership

  20. 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 of Management; co-head MIT PROductivity from Information Technology (PROFIT) Program.

  21. 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

  22. I2R/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

  23. LISA Curriculum and Key Subjects I. Systems Theory, Design and Architecture (one of the following) • ESD.34J System Architecture • ESD.xxx Foundations of System Architecture II. Socio-Technical/Enterprise Systems • ESD.565J Integrating Information Systems: Technology, Strategy, and Organizational Factors III. Research Methods MIT Requirement (one of the following) • ESD.74J System Dynamics for Engineers • 15.874 System Dynamics for Business Policy NTU/NUS Requirement (two of the following) • H6429 Computational Intelligence, Methods and Applications • CPE428 Modeling and Simulation • DM6121 Human Computer Interaction • CS5223 Distributed Systems • CS5221 Parallel Computer Systems

  24. LISA Curriculum and Key Subjects IV. Depth in Information Systems MIT Requirement (two of the following courses) • ESD.264J Database, Internet, and Systems Integration Technologies • ESD.341J Web System Architecting: Building Web Services • ESD.355J Concepts in the Engineering of Software • ESD.132J Law, Technology, and Public Policy Other possible ESD choices may include (subject to approval of faculty): • ESD.127 Telecommunications Modeling and Policy Analysis • ESD.210J Computer Algorithms for Systems Analysis • ESD.221J An Introduction to Intelligent Transportation Systems NTU/NUS Requirement (3 of the following or 2 from IV, plus one from V) • H6404 Data Mining • CPE403 Advanced Data Management Techniques • CPE429 Software Testing • DM6102 Multimedia Information Management • CSC416 Intelligent Agents • CS5231 Cryptographic Techniques and Data Security

  25. LISA Curriculum and Key Subjects V. Challenging Applications of Information Systems MIT Requirement (one of the following) • ESD.260J/1.260J/15.770J Logistics Systems • ESD61J/16.852J Integrating The Lean Enterprise • 2.771J/BE.43J/HST.958J Biomedical Information Technology • 6.872J/ HST.950J 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) • BI6121 High Performance Computing for Bioinformatics • CS5238 Combinatorial Methods in Bioinformatics VI. Mandatory seminar series • SMA001 – LISA Joint Research Seminar

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

  27. LISA “external” Doctoral students Trajectory

  28. 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 • Provides collation services for resolving data heterogeneity • Provides brokering, contracting, and negotiation services for smart information barter/trade/collaboration • 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 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) • Information Grid functionalities or realizing new and novel functions

  29. 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

  30. 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 I2R, 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 SMA1 experience (S.Madnick, BS Ooi, KL Tan, YM Teo)

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