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Caltech Center for Complex, Networked Systems


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

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

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
  • Heterogeneous networks merging communications,
    computing, transportation, finance, utilities,
    manufacturing, health, consumer, entertainment,
  • Robustness and reliability are the dominant
  • Create a unified field theory of
    communications, computing, control, and
  • 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
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,
  • 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
  • Majority of current efforts are off target
  • Wide variety of new initiatives on complex
    systems MIT, Stanford, Berkeley, Michigan, SFI,
  • Fragmented. Inadequate focus on connection
    between theory and applications, components and
  • 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

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

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

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

Hideo Mabuchi MEMS micro-electromechanical
sensors SET single-electron transistor
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
  • McEliece turbo codes for wireless networks
  • Hajimiri silicon ICs for RF Networks
  • Vahala channel dropping filters for photonic
  • Rutledge phased arrays for millimeter-wave
  • 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

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
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
  • Small company dedicated to transitioning Caltech
    Center for Networked Systems (CCNS) results to
  • 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
  • Real-time, distributed optimization and control
    for ultra-efficient, fleet operations (NIST ATP)

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
  • 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
  • Launch high visibility recruiting effort to
    attract leaders
  • 3. Recruitment of a high-profile, permanent
  • 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
  • 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)

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