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Kathleen Steinhöfel

Dr Kathleen Steinhöfel

Reader in Computer Science

Research interests

  • Computer science

Biography

Research Interests

  • Local search algorithms for combinatorial optimisation.
  • Energy landscape analysis.
  • Applied algorithmics.
  • Structure prediction in molecular biology.
  • Evolutionary computation.

More Information

    Research

    sustainable ai_st_1428308240 copy
    Sustainability Hub

    The Sustainability Hub consolidates the research related to sustainability

    hospital-news
    Health Hub

    The Health Hub centres on computational characterisation of medically relevant study cases and data.

    FEATURE Finance
    Finance Hub

    The Finance Hub conducts fundamental and applied research at the intersection of finance and computation, a sector which is colloquially known as FinTech.

    algorithms and data analysis 780 x 440
    Algorithms and Data Analysis

    The group develops algorithmic solutions and concrete implementations for various applications.

    synthetic-biology
    RNA Biology

    RNA is at the forefront of biomedical research for its central role in how information is transferred from DNA to protein. This Research Interest Group is open to all interested parties from across the University.

    News

    Informatics researchers awarded $75,000 PLuS Alliance Accelerator Award to study avian flu

    A team involving Dr Kathleen Steinhofel, Reader in the Department of Informatics, has been awarded a $75,000 PLuS Alliance Accelerator Award to study how...

    Graphic of virus cells

      Research

      sustainable ai_st_1428308240 copy
      Sustainability Hub

      The Sustainability Hub consolidates the research related to sustainability

      hospital-news
      Health Hub

      The Health Hub centres on computational characterisation of medically relevant study cases and data.

      FEATURE Finance
      Finance Hub

      The Finance Hub conducts fundamental and applied research at the intersection of finance and computation, a sector which is colloquially known as FinTech.

      algorithms and data analysis 780 x 440
      Algorithms and Data Analysis

      The group develops algorithmic solutions and concrete implementations for various applications.

      synthetic-biology
      RNA Biology

      RNA is at the forefront of biomedical research for its central role in how information is transferred from DNA to protein. This Research Interest Group is open to all interested parties from across the University.

      News

      Informatics researchers awarded $75,000 PLuS Alliance Accelerator Award to study avian flu

      A team involving Dr Kathleen Steinhofel, Reader in the Department of Informatics, has been awarded a $75,000 PLuS Alliance Accelerator Award to study how...

      Graphic of virus cells