We strive to create expertise in following areas of research

Scientific Computing

• Design and analysis of Efficient numerical algorithms with stability and error analysis of various approximation methods for differential equations
• Large scale scientific computation with industrial and scientific applications
• Computability and Complexity Analysis
• Serial and Parallel computinga
• Numerical Linear Algebra

Number Theory and Algebra

• Permutations and primitive roots
• Gauss's conjecture on primitive roots
• Sophie Germain prime and its generalisation
• Symmetric Group S_n and Sudoku
• Zero sum problems in finite groups

Digital Media Technologies

• Data mining
• Video and Image processing
• Big Data Analytics
• Artificial Neural Network
• Machine Learning and Statistical Techniques

Open Source Software

• Big Data Analytics platform using open source software
• Creating awareness about Open source software in Academia
• Creating expertise in scientific computing with open source software