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The Engineering Entrepreneur: Driving innovation, Engineering the engineer Rajesh Gupta Computer Science and Engineering [email_address]
Messages ,[object Object],[object Object],[object Object],[object Object]
#1 Evolving Engineering Education  Engineering has had a transformative impact on society As a consequence the education has evolved Tightly integrated with IT and Entrepreneurship
Transformational Influence of Engineering on Society ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Information Technology influences ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Information infrastructure has become a fundamental enabler of Science ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Fran Berman, SDSC Life  Sciences Physics Geosciences Data  Management and Mining Astronomy
Where Computing is Done streaming  information to/from physical  world David Culler, Berkeley
Affecting the way we live and do things Shooter Localization - Vanderbilt, BBN Sensor Augmented Fire Response Healthcare Asset Management Manufacturing David Culler, Berkeley Smart Vivarium 800-900 m/sec t A B C HIT t-176.5 20.8 t-117.6 13.9 t-58.8 6.9 msec t 2 t 1 t 4 t 3 ? d 1 d 2 d 3 d 4 f(x,y)
#2 Embedded Systems and IT in Societal Context ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Coming IT-enabled Societal Changes
#3: ‘The Engineer’ circa 24 th  Century ,[object Object],[object Object],[object Object]
The Engineer ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Some sobering thoughts ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
ABET Certification Criteria, 2004/2005 Engineering Facilities Ceramic Engineering Chemical Engineering
IT competency across the engineering discipline Mechanical Engineering Industrial Engineering Materials Engineering
Information Technology in Engineering ,[object Object],[object Object],[object Object],[object Object],[object Object],Programming Statistics Files Optimization Algorithms Statistical learning Data organization Pareto optimization
Changing Life, Living, Science, Society
 Systems have a place in major human endeavors ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Instrumented wide-area  spaces Personal area spaces Internet end-points In-body, in-cell, in-vitro spaces
Engineers as Entrepreneurs ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Question for JSOE/UCSD ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Measures of Success ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
#4 The New R&D Ecosystem A dramatic shift in progress in institutional infrastructure for R&D
The Evolving Ecosystem of R&D
On going Activities at CalIT2 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Adaptable Cyber-Coupled Engineering Systems for Autonomous Response to Unexpected Events (ACCESS) Distributed Embedded Systems, Storage & Data Architecture, Structural Health Monitoring, Resource Planning Grand Challenge:   Models and methods to build coupled cyber-physical systems that are able to autonomously respond to unexpected events through highly available IT infrastructure, accurate and timely situational awareness and key reconfigurabilities for resource repurposing.  ,[object Object],[object Object],[object Object],[object Object],Awareness  Applications MetaSim: simulation environment for crisis response situations.  Impact & Testbed
TRUST-IT VISION Urban lifeline systems in the future will more effectively cope with the impacts of disasters, rapid population growth and aging infrastructure by adopting  reconfiguration  strategies and information technology (IT) applications and research.  VISION DRIVERS The demands on urban infrastructure will increase disproportionately relative to infrastructure capacities, thus resulting in over-burdened systems Information technology has exploded in its reach and impact on society, yet it’s integration into infrastructure operations and design has been slow. Adaptive and Reconfigurable technologies have been successfully employed in designing computational and communication systems; its application to large societal-level systems will have significant long-term benefits to society and to the environment KEY CHALLENGES Existing approaches to reconfiguration are limited in scope, scalability, and extensibility.  Current engineering pedagogy does not adequately support a holistic approach to solving complex engineering system problems, especially in environments where social issues are often paramount Methodologies to understand and quantify system interdependencies in large-scale lifeline systems are non-existent or lack sophistication Reconfiguration as mitigating tool cannot be evaluated without strong consideration of social, economic and political issues
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Fundamental Knowledge Base ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Technology Base Urban system vulnerability  and reliability assessment Principles for design and control of societal scale reconfigurable systems IT-enabled controls  for lifelines  Privacy and anonymization technologies Organizational models and interoperability among lifeline industries Data-driven infrastructure  interdependency quantification Socio-economic impacts and policy analysis for urban systems  DeviceWeb : Societal scale middleware to connect lifelines Multi-scale simulation methods Retrofit strategies to enable reconfiguration and evolution Innovative Graduates,  Well-tested Technologies (e.g., customizable UrbanSys packages), and  Small Innovation Firms System Requirements Fundamental insights Integrated Technology Elements Future needs of urban society  (population growth, disasters, aging infrastructure) Adaptivity and reconfigurability technologies CogCity : Multi-lifeline platform for risk assessment on UrbanSys  Technology Integration Methodologies, Urban Models, Algorithms, Data gaps, System  Requirements Prototype  Reconfiguration Technologies, Empirical & Experimental Data, Reflective Architectures Common Service Model (CSM) CitySim:  Meta- simulation tool for long-term adaptation Distributed Power Generation  Demonstration Study Tools, Mechanisms,  Methodologies, Standards & Policy for Planning, Risk  Assessment & Real-time Control System Architecture UrbanSys:  Scalable IT platform to drive reconfigurable lifelines UCI Sensing and Dynamic Reconfig. Testbed Orange County Regional Lifeline Testbed
Damage Prognosis in SHM ,[object Object],[object Object],[object Object],[object Object],Dasgupta, Gupta, Rosing, CSE, Michael Todd, MAE and Chuck Farrar, LANL
Messages ,[object Object],[object Object],[object Object],[object Object]

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Gli07

  • 1. The Engineering Entrepreneur: Driving innovation, Engineering the engineer Rajesh Gupta Computer Science and Engineering [email_address]
  • 2.
  • 3. #1 Evolving Engineering Education Engineering has had a transformative impact on society As a consequence the education has evolved Tightly integrated with IT and Entrepreneurship
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  • 7. Where Computing is Done streaming information to/from physical world David Culler, Berkeley
  • 8. Affecting the way we live and do things Shooter Localization - Vanderbilt, BBN Sensor Augmented Fire Response Healthcare Asset Management Manufacturing David Culler, Berkeley Smart Vivarium 800-900 m/sec t A B C HIT t-176.5 20.8 t-117.6 13.9 t-58.8 6.9 msec t 2 t 1 t 4 t 3 ? d 1 d 2 d 3 d 4 f(x,y)
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  • 14. ABET Certification Criteria, 2004/2005 Engineering Facilities Ceramic Engineering Chemical Engineering
  • 15. IT competency across the engineering discipline Mechanical Engineering Industrial Engineering Materials Engineering
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  • 17. Changing Life, Living, Science, Society
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  • 22. #4 The New R&D Ecosystem A dramatic shift in progress in institutional infrastructure for R&D
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  • 26. TRUST-IT VISION Urban lifeline systems in the future will more effectively cope with the impacts of disasters, rapid population growth and aging infrastructure by adopting reconfiguration strategies and information technology (IT) applications and research. VISION DRIVERS The demands on urban infrastructure will increase disproportionately relative to infrastructure capacities, thus resulting in over-burdened systems Information technology has exploded in its reach and impact on society, yet it’s integration into infrastructure operations and design has been slow. Adaptive and Reconfigurable technologies have been successfully employed in designing computational and communication systems; its application to large societal-level systems will have significant long-term benefits to society and to the environment KEY CHALLENGES Existing approaches to reconfiguration are limited in scope, scalability, and extensibility. Current engineering pedagogy does not adequately support a holistic approach to solving complex engineering system problems, especially in environments where social issues are often paramount Methodologies to understand and quantify system interdependencies in large-scale lifeline systems are non-existent or lack sophistication Reconfiguration as mitigating tool cannot be evaluated without strong consideration of social, economic and political issues
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