Data mining:

This group is mainly involved in developing novel learning algorithms for a variety of neural network architectures. Applications include pattern mapping and pattern classification to real-world problems such as:

  • Character recognition
  • Hand-Written Text recognition
  • Credit Risk Analysis

Data Science:

Applying machine learning and data visualization techniques to a variety of datasets.


The group has expertise in applying machine learning for diagnosing diseases. The projects include detection of:

  • Breast cancer
  • Primary tumors


On development of novel Machine Learning Techniques.

Big Data:

Exploring possiblities for collaboration from companies in Big Data technologies and Data Mining.


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