TCE FOSS Group carries out research in the following areas:

• Operating System Design and Development.
• Neuro -Fuzzy computing.
• High Performance Computing.
• Information Security.
• Natural Language Processing.
• Cloud Computing - Hadoop
  

The present work in these research areas includes:

• Scheduling in Cluster Environment using FOSS tools. 
  

1. Analysis of Parallel Learning Algorithms and it’s Applications.
2. Several parallel combinatorial algorithms are evaluated
3. Analysis of pattern recognition problems using neural networks.
4. Efficient scheduling of tasks in clusters

• Localization of FOSS Tools (Tamil)

1. Experimental Analysis of Automatic Text Categorization approaches that fall within the machine Learning Paradigm
2. Document Representation
3. Classifier Construction
4. Classifier Evaluation

• Log files  analysis to build the user’s behavior Profile.

1. Application of Machine learning algorithms to Information Security
2. Classification of Abnormal Activity using Sequence of System calls
3. Application of Neural Networks to Intrusion Detection
4. Application of Naïve Bayes Classifiers to Masquerader Detection

The future work can be extended to:

• Applying Automated Text Categorization successfully to the categorization of documents expressed in slightly different media like Very Noisy text resulting from optical character recognition
• Automated content based indexing for multimedia documents
• Designing FOSS Tools to efficiently capture and prevent various types of host and network attacks to secure our information
• Application of Machine learning algorithms like Neural Networks, Fuzzy Logic, Neuro Fuzzy Systems and Support Vector Machines to improve the efficiency of our FOSS tools
• Application of machine Learning algorithms to various Combinatorial problems
• Improving their efficiency in GNU/Linux cluster environment using FOSS tools .
• Design a Foss Tool to schedule the computationally intensive tasks in Cluster environment.