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
(No Transcript)
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
(No Transcript)