SMA2 Proposal
LISA: Leaders in Information
Systems and Architectures
Angela GOH, NTU
Stuart MADNICK, MIT
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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
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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
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Education Targets (annual)


Intake
of 16
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
Research activities &
Joint Thesis
Singapore
MIT
Singapore
18 months
Dual Masters
13 leave


PhD Program
(3-4 years)
3 to PhD
program

4 “external” admitted
to PhD at NTU/NUS
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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
TOTAL: 7 + joint Thesis
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 …
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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
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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)
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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
Inter-University Projects
(Advanced Application Areas)
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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
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Summary of Faculty Involvement
Flagship
Research
Teaching
Inter-Univ TOTAL
Research
NTU/NUS
27
14
13
28
MIT
9
12
12
17
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MIT Faculty Involvement
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NTU/NUS Faculty Involvement
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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
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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
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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
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Thank you
Questions & Answers
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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
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Engineering Profession Must Adapt to
Maintain Future Leadership
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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
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Daniel HASTINGS, Professor of Aeronautics and Astronautics and Engineering Systems, MIT School of
Engineering and Co-Director, Engineering Systems Division, MIT School of Engineering
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Steven LERMAN, Class of 1922 Professor of Civil and Environmental Engineering, MIT School of Engineering
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Nancy LEVESON, Professor of Aeronautics and Astronautics and Professor of Engineering Systems, MIT
School of Engineering
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Stuart MADNICK, John Norris Maguire Professor of Information Technology, MIT Sloan School of
Management and Professor of Engineering Systems, MIT School of Engineering
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Joel MOSES, Institute Professor of Computer Science and Engineering and Professor of Engineering Systems,
MIT School of Engineering
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Deborah NIGHTINGALE, Professor of the Practice of Aeronautics and Astronautics and Engineering Systems,
MIT School of Engineering, and Director, Lean Aerospace Initiative
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Yossi SHEFFI, Professor of Civil and Environmental Engineering and Engineering Systems, MIT School of
Engineering, and Director, Center for Transportation and Logistics
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John STERMAN, Jay W. Forrester Professor of Management, MIT Sloan School of Management; Director of
System Dynamics Group
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Joseph SUSSMAN, JR East Professor of Civil and Environmental Engineering and Engineering Systems, MIT
School of Engineering
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John WILLIAMS, Associate Professor of Civil and Environmental Engineering, MIT School of Engineering and
Professor of Engineering Systems, MIT School of Engineering.
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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:
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Benjamin GROSOF, Douglas Drane Assistant Professor in Information Technology, MIT Sloan School of
Management
MIT Principal Research Associates
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Michael SIEGEL, Principal Research Associate, Information Technologies Group, MIT Sloan School 21
of
Management; co-head MIT PROductivity from Information Technology (PROFIT) Program.
NTU-NUS Teaching & Research Faculty
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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
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I2R/SIMTech/National Grid/IHPC
Teaching & Research Faculty
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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
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LISA Curriculum and Key Subjects
I. Systems Theory, Design and Architecture (one of the following)
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ESD.34J System Architecture
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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)
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ESD.74J System Dynamics for Engineers
15.874 System Dynamics for Business Policy
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H6429 Computational Intelligence, Methods and Applications
CPE428 Modeling and Simulation
DM6121 Human Computer Interaction
CS5223 Distributed Systems
CS5221 Parallel Computer Systems
NTU/NUS Requirement (two of the following)
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LISA Curriculum and Key Subjects
IV. Depth in Information Systems
MIT Requirement (two of the following courses)
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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
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H6404 Data Mining
CPE403 Advanced Data Management Techniques
CPE429 Software Testing
DM6102 Multimedia Information Management
CSC416 Intelligent Agents
CS5231 Cryptographic Techniques and Data Security
NTU/NUS Requirement (3 of the following or 2 from IV, plus one from V)
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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
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LISA Dual Masters degree program and
“internal” Doctoral students Trajectory
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LISA “external” Doctoral students
Trajectory
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Information Grid - Core Services
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Information Access & Delivery Services
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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
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Information Integration & Exchange Services
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Semantics & Ontology Services
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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
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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
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Provides intelligent agent services for automating/aggregating various (where applicable)
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Information Grid functionalities or realizing new and novel functions
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
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LISA: Features & Strengths
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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
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SMIGI services are generic and apply to many domains
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The academic component is a unique blend of computer science,
information systems, and engineering systems
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The academic program intends to create "leaders" with broader array of
career opportunities and will be important asset to Singapore
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Academic model is based on MITs successful Leaders in Manufacturing
(LFM) program
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A collaboration involving a broad array of RIs including I2R, SIMTech,
IHPC.
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Endorsement and interest of organisations (Government agencies such as
IDA, vendors such as HP, application users such as SES)
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Commitment by the National Grid Office
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Several collaborators have SMA1 experience (S.Madnick, BS Ooi, KL Tan,
YM Teo)
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