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I am a second-year Computer Science Ph.D. student in the Language Understanding Lab at the University of Maryland, Baltimore County, advised by Prof. Francis Ferraro.

My current research studies post-training optimization and system-level methods for LLMs and multimodal foundation models, with a focus on agentic reasoning and controllable adaptation. Ongoing work spans

  • Reasoning reliability and verification: retrieval-grounded structured inference and agentic retrieve-verify workflows for scientific claim and feasibility assessment, hallucination mitigation in multimodal QA (FilterRAG)

  • Privacy-preserving and controllable model adaptation: federated fine-tuning of LLMs with Differential Privacy (FedMentor, FedMentalCare), targeted multimodal unlearning (Multimodal Unlearning Survey)

Previously, I earned my MS in Computer Science from the University of Texas Rio Grande Valley, where I worked on privacy-preserving Federated Learning for biometrics and Differential Privacy, contributing to projects that received NSF funding.

Research News (View All)

Publications Spotlight

Full publication list on Google Scholar →

  1. Under Review

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    Multimodal Unlearning Across Vision, Language, Video, and Audio: Survey of Methods, Datasets, and Benchmarks

    Jan 2026

  2. NeurIPS ’25

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    FedMentor: Domain-Aware Differential Privacy for Heterogeneous Federated LLMs in Mental Health

    In GenAI4Health Workshop, NeurIPS (Code will be released soon!), Jan 2025

  3. ICCV ’25

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    FilterRAG: Zero-Shot Informed Retrieval-Augmented Generation to Mitigate Hallucinations in VQA

    Nobin Sarwar

    In T2FM Workshop, ICCV, Jan 2025