Rajib Paul

Rajib Paul serves as a Professor in the School of Data Science, holding a core academic position focused on advancing data-intensive research methodologies.

His research portfolio centers on foundational and applied aspects of data science, with particular emphasis on:

• Machine Learning algorithm development
• Artificial Intelligence systems design
• Large-scale Big Data Analytics frameworks
• Advanced Statistical Modeling techniques
• Cross-disciplinary data applications

Professor Paul's scholarly contributions demonstrate consistent focus on computational approaches to complex data challenges across theoretical and practical domains.