Centre for Analytics with Intelligent Learning for Multimedia Data (CAILMD)

The advances in data pluggability and portable technology have brought the revolution in the interdisciplinary domains of Multimedia Data analytics, Intelligent Learning and Statistics. It is increasingly gaining importance in many application areas across industry and academia. Social networking and sharing of data is creating numerous challenges in analysis of heterogeneous data. Processing large amounts of heterogeneous data involves many application areas like Computer vision, Embedding Intelligence and development of softbots, Business analytics, Banking sector, Social network Analysis, Legal Recommendations, Legal Research Engines, Medical, Data Analytics and Digital Education etc.

The recent advancements like Big Data Analytics and Deep learning have brought solutions but still it poses a number of challenges like providing enough quality data, understanding the context, Ambiguous Language constructs, which can provide opportunities in various fields like natural language processing, Intelligent decision making systems, Robotics etc. The potential future Research Direction are technology-driven automation, Development of smart and intelligent systems, in various application areas including smart healthcare, business intelligence. Lightweight Deep Learning Modelling for Next-Generation Smart Devices and Applications development related to societal significance.

CAILMD research group is actively involved in problem solving for the emerging needs of industry and academia in the field of Data Analytics, Intelligent leaning using AL/ML/DL,, GPU computing and Natural language Processing. It is actively involved in exploring the opportunities to carry out continuous research and encourage students to take up projects, research and Internships in the area of machine learning, datamining to real-world problems in society and industry.

Following are the objectives defined:

1. To inculcate research culture with quality publications, product development, IPR, Consultancy and serving the society.
2. To develop and nurture professional skills and practices in students with problem solving approach through internships, certification programs, projects, and publications.
3. To establish Industry and Institute collaboration.

Areas of the Interest of the Group Include but not limited to

1. Media Data Analytics and processing
2. High Performance Computing
3. Natural Language Processing
4. Intelligent Learning and Processing using AL, ML, DL