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Title: SMA2 Proposal LISA: Leaders in Information Systems and Architectures


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
Education Targets (annual)
?
?
Singapore
MIT
Singapore
Intake of 16
?
?
PhD Program (3-4 years)
5
Dual Masters Structure
MIT ESD degree in Engineering Systems NTU/NUS degree in Computer Science NTU/NUS degree in Computer Science
I. Systems Theory, Design and Architecture TWO from Research Methods
II. Socio- Technical/Enterprise Systems TWO from Research Methods
II. Socio- Technical/Enterprise Systems THREE from Depth in Information Systems or (TWO from Depth in Information Systems and ONE from Challenging Applications of Information Systems )
III. Research Methods THREE from Depth in Information Systems or (TWO from Depth in Information Systems and ONE from Challenging Applications of Information Systems )
TWO from Depth in Information Systems THREE from Depth in Information Systems or (TWO from Depth in Information Systems and ONE from Challenging Applications of Information Systems )
ONE from Challenging Applications of Information Systems 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 TOTAL 7 joint Thesis
6
Research Motivation - Example
  • You want to ship materials
  • between USA and China via Singapore
  • Wouldnt 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 ThemeInformation 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
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
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11
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

12
Summary of Faculty Involvement
Flagship Research Teaching Inter-Univ Research TOTAL
NTU/NUS 27 14 13 28
MIT 9 12 12 17
13
MIT Faculty Involvement
14
NTU/NUS Faculty Involvement
15
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
16
Administration/Collaboration
Steering Committee Faculty Administration Mana
ge 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 PIs
17
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

18
Thank you
  • Questions Answers

19
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

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

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 accessdeliver 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/collab
    oration
  • 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)

31
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