Kawshik Banerjee

I'm a PhD student in Computer Science at Southern Illinois University Carbondale, advised by Dr. Khaled M. Saifuddin. My current research focuses on graph learning and multimodal learning.

I completed my undergrad in Computer Science and Engineering from Rajshahi University of Engineering & Technology, where I was advised by Azmain Yakin Srizon. My undergrad thesis focused on assessing how our understanding, usage, and the association of racial and ethnic stereotypical terms have shifted over more than a decade using social media data.

My research has previously been featured in Nature Index and Nature News.

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Recent Work

Complete list is available at Google Scholar.

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Does Graph Compression Preserve Signal Propagation?


Kawshik Banerjee, Khaled Mohammed Saifuddin
IEEE ICMLA, 2026
paper | code

We study two fundamental compression paradigms, coarsening and sparsification, and ask whether they preserve the propagation behavior of the original graph. Across five datasets, varying compression rates, and propagation depths, we measure signal behavior through three complementary metrics.





Modified Lionid's implementation of Jon's design in Jekyll.