BS in Computer Science · Minors in Mathematics & Physics · Honors Student University of North Carolina at Pembroke

I am an undergraduate researcher advised by Dr. Prashanth BusiReddyGari at UNC Pembroke. Previously, I worked with Dr. Shaohu Zhang (UNC Pembroke / NC A&T).

My research focuses on Natural Language Processing, specifically understanding how large language models behave under distribution shifts, adversarial inputs, and real-world deployment constraints. I am interested in building robust NLP systems that can generalize across languages and domains.

Currently, I am working on multi-agent reinforcement learning for decentralized resource coordination, investigating emergent communication patterns and fairness in cooperative AI agents.

Google Scholar

N. Hasan and P. BusiReddyGari, "Benchmarking Large Language Models for Zero-shot and Few-shot Phishing URL Detection," in Proc. LAW Workshop, 39th Conference on Neural Information Processing Systems (NeurIPS), 2025. [Paper] [arXiv]

N. Hasan and P. BusiReddyGari, "Time-Complexity Characterization of the NIST Lightweight Cryptography Finalists," in Proc. IEEE 16th Annual Computing and Communication Workshop and Conference (CCWC), Las Vegas, NV, 2026, pp. 1193-1196. [DOI] [arXiv]

N. Hasan and P. BusiReddyGari, "DPBench: Large Language Models Struggle with Simultaneous Coordination," arXiv preprint arXiv:2602.13255, Feb. 2026. [arXiv] [Code]

N. Hasan, P. BusiReddyGari, H. Zhao, Y. Ren, J. Xu, and S. Zhang, "Phishing Email Detection Using Large Language Models," arXiv preprint arXiv:2512.10104, Dec. 2025. [arXiv]

I'm always happy to discuss research ideas or potential collaborations. Feel free to reach out.