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Michael Blumenstein's Research 

Research Activities

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Michael Blumenstein's research overlaps the areas of Pattern Recognition, Image Processing, Handwriting Recognition, and Computational Intelligence (Neural Networks, Evolutionary Algorithms and Fuzzy Logic).

Current Research Projects

  1. Handwriting Recognition
  2. Digital Mammography. The CIRL group has developed a system for locating and classifying microcalcifications in breast tissue. This research may be extended in future Honours or Postgraduate projects.
  3. Automatic analysis of source code:
  4. Predictive assessment tool for beach conditions using video imaging and neural network analysis (in conjunction with the GCCM and CoastalWatch)
  5. Neural networks for engineering and environmental applications
Past Research
  1. Real-world Postal Address Recognition.
  2. Neural techniques for Data Compression.
Research Funding
  1. An intelligent system for marking Assessment items in large university populations, Griffith University Teaching Grant (GUTG), 2003, $7,500.
  2. Predictive assessment of beach conditions, ARC (Linkage), Gold Coast City Council, Coastalwatch P/L, 2003-2005, $276,000 + in-kind.
  3. Hydrodynamic experimental analysis package of floating offshore structures, Griffith University Research Infrastructure Program (GURIP), 2003, $100,000.
  4. A neuro-fuzzy technique for classification of microcalcifications in digital mammograms, Griffith University Research Grant (GURG), 2002, $8,000.
  5. Program for marking assistance, GUTG, $2,000.
  6. An algorithm for removal of incorrect segmentation points in over-segmented handwriting, ARC (Small), 2001, $16,000.
Honours and Postgraduate enrolments + Scholarships