S M Mehedi Zaman

Mehedi Zaman's research lies at the intersection of computational social science, natural language processing, and critical aspects of Gen AI in relation to privacy. He is actively working on how large language models can be fine-tuned and adapted for specialized tasks such as stance detection, misinformation analysis, and privacy discourse understanding. His work frequently engages with real-world, high-dimensional datasets — including political television transcripts, Reddit discussions, and patient health records — to explore questions of information behavior, tech industry critiques, and interpretability in AI systems. Through his research, Zaman aims to bridge technical innovation with socially meaningful applications, while also addressing critical aspects of these.

Zaman started his research exploration by winning the IEEE Big Data Cup Challenge, organized by Khalifa University of the UAE in 2022. After that, he co-authored multiple publications, of which one received the Outstanding Paper Award in the Research and Evaluation track at the Conference on Empirical Methods in Natural Language Processing in Singapore in 2023.

Zaman previously completed a remote research internship at the AI Institute of University of South Carolina (AIISC) before joining Rutgers, where he worked on various Natural Language Processing projects. Currently he's looking at the online discourse revolving around Gen AI to comprehend this landscape as well as propose ways forward in relation to privacy and ethical use of Gen AI, both from a technical and critical perspective.

B.Sc., Electrical and Electronic Engineering, Islamic University of Technology