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Computer Sciences Lab

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Title: Computer Sciences Lab


1
Computer Sciences Lab NICTAOpportunities for
Honours projects 2007Sylvie Thiebaux
2
College of Engineering Computer Science (
Friends)
DCS
CSL
NICTA
DEng
InfoEng
3
Research Groups
  • Research focuses on
  • Artificial Intelligence
  • Logic Automated Reasoning
  • Computer Vision
  • 40 researchers in 4 groups
  • Diagnosis, Planning, Optimisation (DPO, aka
    KRR)
  • Statistical Machine Learning (SML)
  • Logic Computation (LC)
  • Vision Science, Technology Applications (VISTA)

4
Diagnosis, Planning Optimisation Group
  • Diagnosis
  • Explain abnormal situations from observations
  • Circuits, power networks, web services, humans
  • Planning
  • Decide schedule the tasks to be undertaken to
    meet given objectives
  • Project planning, military operations planning,
    robot control, solving puzzles games
  • Optimisation
  • Find the best possible solution to a problem
  • How can we predict the hardness of optimisation
    problems?

Contact Sylvie.Thiebaux_at_anu.edu.au
5
Planning with time, resources, and uncertainty
  • Uncertainty about task duration and resource
    consumption
  • Model uncertainty
  • Handle continuous time/res.
  • Design efficient algorithms
  • Build robust plans
  • Build better GUIs
  • Build a better Microsoft Project!

Contact Doug.Aberdeen_at_nicta.com.au
6
Model-Based Supervision of Composite Systems
Composite systems feature simple components
organised into a highly reconfigurable
architecture
Examples web grid services, power and water
systems telecom networks, traffic control systems
  • Supervision tools confer the ability to
  • self-diagnose to detect faults in the system and
    explain their causes
  • self-reconfigure to restore or improve service

Project goals develop theories, algorithms
tools for the supervision of composite systems
Approach draws on artificial intelligence (model-
based diagnosis, planning), discrete- event
systems, and model-checking
Contact Sylvie.Thiebaux_at_anu.edu.au
7
Statistical Machine Learning Group
  • Machine Learning automates the input-output
    mapping.
  • Lots of fun projects for analysing data.Let us
    do both theory and application

input(data)DocumentsVideoMoleculesMicroarrays
Sensor NetworksMission Plans
output(analysis) Authors, scriptPeople,
scenesBiological function Cancer
diagnosisNovelty, alarmOptimal strategy
Magic happens
Contact Alex.Smola_at_nicta.com.au
8
Bioniformatics
  • Build feature selector for genes
  • Integrate sequencing information (similarity ..)
  • Integrate automatic analysis of abstract

Cancer diagnosis


Contact Adam.Kowalczyk_at_nicta.com.au
9
Document Analysis
Suffix tree
  • .
  • Build document similarity measure
  • Build fast discriminative optimiser (SVM style)
  • Integrate into mail filtering system (e.g. DSPAM)



c
Spam filter
ab
b
c
abc
c
abc
Contact SVN.Vishwanathan_at_nicta.com.au
10
Logic and Computation Group
  • Logical analysis of systems
  • Assure correctness, safety, robustness
  • Software systems (are votes counted okay?)
  • Physical systems (will the robot arm break?)
  • Systems of agents (can I trust this eBay
    seller?)
  • Tools for reasoning by computers
  • Logical deduction Does it follow?
  • Constraint satisfaction How might it be?
  • Theory behind all this
  • New kinds of logic for new tasks

Contact John.Slaney_at_anu.edu.au
11
Constraint Satisfaction Platform (G12)
  • Constraint Satisfaction Problem
  • Hard constraints - e.g. every team plays every
    other at home and away
  • Soft constraints - e.g. fairness conditions
    (may be complex)
  • Additional requirements from TV stations, etc.
    complicate further
  • Difficult computational problem

Contact John.Slaney_at_anu.edu.au
12
L4 Verified
L4 Micro-kernel L4 operating system used in
embedded systems e.g. sensor networks, mobile
phones Small trusted kernel (guarantees
separation properties) NICTA project formally
verify the kernel Project runs until 2008 One of
the most ambitious formal verification projects
ever undertaken anywhere Commercial potential if
successful
Contact Michael.Norrish_at_nicta.com.au
13
Vision Science, Tech. Applications Group
  • Major projects
  • Spectral imaging
  • Smart cars
  • Medical image analysis
  • Surveillance

Contact Nick.Barnes_at_nicta.com.au
14
Smart Cars
Contact Lars.Petersson_at_anu.edu.au
Pedestrian detection tracking
Speed sign detection recognition
Car detection tracking
A complete driver assistance system, focusing on
driver safety
15
Automatic Anatomical Structure Extraction
  • Detection of Alzeihmers disease
  • changes to hyppocampus implicated- doctors
    hand-trace each scan slice- obtain a math.
    representation for analysis- need to repair and
    parametrise the 3D data

Contact Paulette.Lieby_at_nicta.com.au
Parametrisation
Topology repair
16
Finally
  • These slides are at http//rsise.anu.edu.au/thie
    baux/HP.ppt
  • Many other projects, for exmple in
  • Traffic control Philip.Kilby_at_anu.edu.au,
    Doug.Aberdeen_at_nicta.com.au
  • Game playing Adi.Botea_at_nicta.com.au,
    Nic.Schraudolph_at_nicta.com.au
  • Sensor networks Alex.Smola_at_nicta.com.au
  • Agent architectures John.Lloyd_at_anu.edu.au
  • Artificial AI, Trust Jochen.Renz_at_anu.edu.au
  • Automated deduction Rajeev.Gore_at_anu.edu.au,
    John.Slaney_at_anu.edu.au
  • Satisfiability Anbulagan_at_nicta.com.au,
    Jinbo.Huang_at_nicta.com.au, Jussi.Rintanen_at_nicta.com
    .au
  • If you like theory Tomasz.Kowalski_at_anu.edu.au
  • Apply for a summer scholarship with us!
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