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Caltech Center for Complex, Networked Systems

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Theme #1: pervasive, ubiquitous, ... Theme #2: post-genomics biology and medicine ... Strong Link between CNS themes and CCNS vision. CNS 'How the ... – PowerPoint PPT presentation

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Title: Caltech Center for Complex, Networked Systems


1
Caltech Center for Complex, Networked Systems
  • Mani Chandy John Doyle Richard Murray
    Pietro Perona
  • Shuki Bruck? Hideo Mabuchi? Mel Simon?
  • David Rutledge? Bob McEliece? Jason Hickey
  • (add names)
  • California Institute of Technology
  • 1 February 2000
  • DRAFT Presentation to Steve Koonin David
    Baltimore

2
Vision Lead the development of a new theory for
networked systemsAnalysis and design of complex
systems is lacking underlying theoretical base
  • Theme 1 pervasive, ubiquitous, convergent
    networking
  • Heterogeneous networks merging communications,
    computing, transportation, finance, utilities,
    manufacturing, health, consumer, entertainment,
    ...
  • Robustness and reliability are the dominant
    challenges
  • Create a unified field theory of
    communications, computing, control, and
    intelligence
  • Theme 2 post-genomics biology and medicine
    (systems biology)
  • Molecular mechanisms are characterized
  • Missing piece understanding of how network
    interconnection creates robust behavior from
    uncertain components in an uncertain environment
  • Transition from organisms as genes, to organisms
    as networks of integrated chemical, electrical,
    fluid, and structural elements

Richard Murray CS/internet picture
3
Approach Uncertainty management for complex,
interconnected systemsCaltech is uniquely
positioned to develop fundamental insights and
tools in this area
  • Key issue is uncertainty and robustness
  • Management of uncertainty is central to the study
    and creation of complex, interconnected networks
    with ubiquitous computation, communications,
    control and intelligence
  • These issues are common across a wide range of
    disciplines biology, computer science, fluids,
    networks
  • Rigorous, deep understanding is required
  • Flood of data from molecular biology
  • Engineering systems of bewildering complexity
  • Data and components are becoming commodities
  • A fundamentally new discipline is required to go
    from information to understanding
  • Current ad hoc efforts in biology, networking,
    systems engineering and software coding will not
    suffice
  • Majority of current efforts are off target
  • Wide variety of new initiatives on complex
    systems MIT, Stanford, Berkeley, Michigan, SFI,
    etc
  • Fragmented. Inadequate focus on connection
    between theory and applications, components and
    systems.
  • Requires fundamental interactions between
    scientists, engineers, and mathematicians that is
    difficult at most institutions
  • Caltech is way behind, but...
  • Caltech strengths allow us to take the lead
  • Uniquely positioned to undertake rigorous,
    multi-disciplinary research in key areas of
    biology, computer science, fluids, networks
  • Ability to attract new faculty that would not
    find a similar home in other institutions (eg,
    Arkin, Dickinson, Adelman)
  • Link BSI/bioengineering with growth in CS and
    existing strengths to create internationally
    recognized center

4
Example Biological NetworksNew understanding
based on systems-level analysis
Richard M. Murray John Doyle, Mel Simon
5
Richard M. Murray Pietro Perona, Joel Burdick
Example Computation and Neural Systems
(CNS)Strong Link between CNS themes and CCNS
vision
CNS How the brain works
  • Coding of info in neurons
  • Neurophysics of perception
  • Consciousness

?
?
  • Computational models
  • Artificial sensory systemsand intelligence
  • Interfacing brains and computers

6
Example Quantum networksRobustness is the key
issue in quantum information technology
  • Quantum interconnection and feedback
  • quantum phenomena may limit the ultimate scaling
    of critical technologies
  • Use active feedback to suppress unwanted quantum
    dynamics in nanoscale devices (VLSI, MEMS, etc)
  • Use active feedback to stabilize and exploit
    emerging quantum behavior in nanoscale devices
    (eg, SETs)
  • Formulate interconnection topologies that elicit
    robust digital behavior from few atomic degrees
    of freedom
  • Quantum communication networks (MURI)
  • quantum technologies could be powerful but are
    profoundly sensitive to errors and noise
  • Quantum models reduce the complexity of certain
    distributed computations
  • Use of quantum resources also enables new
    cryptographic protocols
  • Implementations will require fault-tolerant
    storage, processing, and transmission of quantum
    information

Hideo Mabuchi MEMS micro-electromechanical
sensors SET single-electron transistor
7
Example The Lee Center
  • Research in the Lee Center
  • Plott economic models of networks
  • Chandy wireless campus
  • Doyle network modeling
  • Bruck protocols and models for wireless
    worldwide web
  • Effros image data compression for wireless
    networks
  • McEliece turbo codes for wireless networks
  • Hajimiri silicon ICs for RF Networks
  • Vahala channel dropping filters for photonic
    networks
  • Rutledge phased arrays for millimeter-wave
    networks
  • Hickey Reliable computing in networks
  • The Lee Center for Advanced Networking was
    established through a 10,000,000 donation from
    David Lee, a Caltech alumnus, who is founder and
    Chief Operating Officer for Global Crossing. The
    goal is research in the development of a
    world-wide distributed computing system that
    connects people and appliances through wireless
    and high-bandwidth wired channels and a backbone
    of computers that serve as data bases and object
    servers. This is a multi-disciplinary challenge,
    with research in modeling and protocols, circuits
    and coding, and propagation and antennas.
  • Director David Rutledge

8
Connections with Traditional Caltech
StrengthsMicro-scale phenomena as a problem in
robustness of complex, uncertain systems
Richard M. Murray All
  • Fluid Mechanics of turbulence and shear flows
    (Leonard, Marsden, et al)
  • Model transition to turbulence as high
    selectivity, high gain operator
  • Fluid Mechanics of biological systems (Gharib)
  • Describe
  • Global change (Wiggins, Env)
  • Environment, etc

Richard Murray Picture
Richard Murray Picture
9
Richard M. Murray Working with Mark Myers to
fill out this chart. Not clear whether it
belongs here or not (or whether it is a good
thing to do, for that matter)
Industry InteractionsExplore startup company to
allow easier transition of theory to applications
  • CCNS.com
  • Small company dedicated to transitioning Caltech
    Center for Networked Systems (CCNS) results to
    application
  • Recruit Mark Myers as director?
  • Market infrastructure tools (eg Modelica
    implementations) as baseline business
  • Caltech faculty as board of directors
  • Potential projects
  • Fuel cell modeling for International Fuel Cells
    (UTC)
  • Real-time, distributed optimization and control
    for ultra-efficient, fleet operations (NIST ATP)

10
Proposal Establish a Center for Complex,
Networked Systems at CaltechBuild on Caltechs
strengths to establish leadership in complex,
interconnected systems
  • 1. Establish steering committee to plan new
    center
  • Work out organizational details of the center
  • Recruit a director
  • Begin fund raising
  • Refine and articulate the vision
  • 2. Expand recruiting efforts in CS and
    bioengineering
  • Launch high visibility recruiting effort to
    attract leaders
  • 3. Recruitment of a high-profile, permanent
    director
  • Need a strong administrative and technical
    leader, eg,
  • Randy Katz at UCB
  • John Gutag at MIT
  • Pramod Khargonekar at U. Michigan
  • Make this the most exciting academic
    administrative position in the country
  • Expected features of the center plan
  • Highly visible commitment for new appointments in
    EAS (CS bio-engneering), with search controlled
    by steering committee
  • Center director with authority and responsibility
    comparable to division chair
  • Directed search for major donors
  • Novel strategies for CS and bio-engineering
    education
  • Benefits to Caltech
  • Provide a focal point for aggressive faculty
    recruiting in CS, Bi, and EAS
  • Attract students, postdocs, visitors by offering
    a uniquely multi-disciplinary environment for
    study and research
  • Substantial opportunities for external funding
    (government private)

11
Event Timeline
  • 4/1 Networking working meeting
  • Doyle Complexity and uncertainty
  • Arkin Systems biology
  • Mabuchi Quantum networks
  • Bruck biological networks protocols
  • 4/3 M. Myers dinner (Hartford)
  • 4/8 DARPA planning meeting
  • Decide on agenda, speakers, etc
  • 4/15 DARPA ITO visit (Sastry)
  • Present Center vision and introduce research team
  • 30 minute talks with open discussions
  • Introduction by Koonin (?)
  • 5/1 Koonin/Baltimore presentation
  • This presentation
  • 5/27 ERC Industry Day
  • Keynote Frank Fernandez
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