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Advanced Computer Architectures (ACA)

The Advanced Computer Architectures Groups major aim is to undertake research into novel computer architectures. To date the Group's work has developed systems such as the Cortex II machine based on neural networks, novel search engines, new types of processors for computers and new ways to make computers recognise people.

Group Aims

The ACA group undertakes research into software and hardware for problems that involve large, complex unstructured data, with a particular emphasis on the use of Neural Networks and applications in Pattern Recognition. We work on the theory and application of novel methods as well as the development of the underlying hardware and software for the systems. The group has a strong theme in eScience and Grids. Many of our approaches are biologically inspired.

The group has strong industrial links supported by a spin off company (Cybula Ltd.) to address and commercialise problems in diverse subject areas including search large data sets & biometrics.

Senior Member: Jim Austin

Contact Person: Jim Austin

 

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Research Areas

Neural networks

  • Neural networks underpinning other work in several disciplines, concentrating on biologically plausible systems which can be implemented in fast, dedicated hardware
  • Methods for textual analysis
  • Methods for time series analysis
  • Graph matching methods for image and shape analysis.

Pattern Recognition

  • Image recognition for biometrics and for robot navigation and image analysis
  • 3D face recognition.

Grid & e-Science

  • Grid middleware systems to allow distribution of search systems on grid computing infrastructures
  • e-Science systems

Hardware

  • Stack-based processing systems
  • Low power, pervasive systems
  • Hardware systems utilising DSPs and FPGAs to accelerate neural network methods.

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Notable Work

  • Delivery of the Distributed Aircraft Maintenance Environment and its follow up BROADEN for grid-based analysis of aircraft engine monitoring data
  • Development of the White Rose Grid and associated e-Science Centre

Sponsorship is received from a variety of sources including DTI, EPSRC, HEFC, JISC, DtT, Yorkshire Forward, European Commission and industrial sponsors.

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Research Projects

  • AURA
  • AURA Graphmatcher
  • BROADEN
  • CARMEN
  • Face recognition
  • Freeflow
  • HIPIC
  • PROFI
  • Trademark analysis
  • UDK
  • UFO
  • USE
  • VIDEOWARE
  • AICP
  • DAME
  • Euredit
  • FAR
  • Fedaura
  • AMADEUS

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Industrial Collaborators

  • Rolls-Royce, Data Systems and Solutions, EDS Ltd.: Use of Pattern Searching and eScience methods for diagnostics.
  • Cybula Ltd. Groups spin out developing commercial applications of AURA.
  • Actor Knowledge Technologies Ltd., Use of AURA for trademark search databases.
  • Department for Work and Pensions, EDS Ltd. and Atos Origin, Sun Microsystems, development of improved fraud detection methods.
  • The Post Office, improved address matching technologies.
  • Hull MRI Centre, improved MRI analysis methods.
  • Infineon UK Ltd. Collaborator in Amadeus and HIPIC projects.
  • Vulcanic, MPE Ltd., Alpha-Mosaic and Broadcom, collaborators in Amadeus.
  • Sun Microsystems, eScience and Grids.
  • Evotec, GSK, Molecular search engines.

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Academic Collaborators

  • Newcastle University
  • Sunderland University
  • Utrecht University
  • Free University of Berlin University
  • Hull University
  • Edinburgh University
  • Leeds University
  • Sheffield University
  • University of Hertfordshire
  • Evitech Institute Helsinki
  • DIBE University Genoa

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Academic Members of the Group

 

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Advanced Computer Architectures (ACA)

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Researcher Profile

Dr Victoria Hodge

Dr Victoria Hodge

"The objective of Freeflow is: to improve traffic network management and operation by turning data into intelligence."

Research area: FREEFLOW: Intelligent Decision Support for Traffic Management

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