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