Selected Publications
  • PhD Thesis: Seeking an appropriate feature extraction method for breast cancer recurrence prediction based on microarray gene expression data. Supervised by A. Mehridehnavi and Hossein Rabbani.
  • PhD Thesis: Using a new adaptive deep learning method for drug discovery with application in investigating Parkinson disease. Supervised by A. Mehridehnavi and A. Fasihi.
  • MSc Thesis: Classification and diagnosis of Lymphoma cancer and normal tissues based on gene expression data using artificial neural networks. Supervised by A. Mehridehnavi and M. Salehi.
  • MSc Thesis: Implementing of pattern recognition algorithms for design of a method to find genes in prokaryotes. Supervised by A. Mehridehnavi.
  • MSc Thesis: Extracting gene regulatory modules using biclustring on microarray data. Supervised by A. Mehridehnavi and M. Mohammadbeigi.
  • MSc Thesis: Dimensionality reduction on the prediction of breast cancer recurrence by using topological features of the gene network constructed from microarray data. Supervised by A. Mehridehnavi.
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