Objectives and outcomes:

Nowadays huge amounts of data gets generated at every instance of time from heterogeneous resources. Preprocessing, analyzing, discovering patterns and designing models from such a huge amount of data with higher dimensions is really a challenging task. Big data analytics, data mining, machine learning, deep learning and computational intelligence techniques can analyze and identify trends and patterns from the data. Data analytics and machine learning techniques can review and analyze large volumes of data and discover specific trends and patterns that would not be apparent to humans. Objectives of the research group are as follows:

• Providing state of the art research facilities to the students
• Solving real life problems by using various machine learning approaches
• Social network data analytics
• Designing classification, prediction and machine learning models to solve real life problems
• Big data handling
• Design and development of new optimization algorithms
• Publishing research outputs in reputed journals and conferences
• Filing patents of research works
• Bring more sponsored research projects
• Collaborate with reputed Institutes, Industries and R&D Labs