Md. Fahim Sultan

About

Md. Fahim Sultan is a Ph.D. student in Computer Science and Engineering at Oakland University, where he specializes in optimizing large pretrained language models (LLMs) for security-critical and low-resource environments. His research centers on advanced parameter-reduction techniques, adaptive fine-tuning strategies for domain-specific LLMs, and the development of secure, reliable AI frameworks for software engineering and cybersecurity applications. He has successfully completed a NASA MSGC–funded project on AI- driven vulnerability detection in aerospace systems, contributing novel methods for building robust, interpretable, and domain-adaptable AI solutions.
In addition to his primary research focus, Fahim has expanded his methodological contributions to the healthcare domain, where he has explored innovative approaches for developing efficient, context-aware medical AI models. His work emphasizes improving model generalizability, data-efficiency, and clinical reliability in low-resource healthcare settings, highlighting his versatility as an AI researcher. Driven by continuous learning and a passion for methodological innovation, he aims to advance scalable, trustworthy, and high-impact AI systems that address real-world challenges across security, aerospace, and healthcare domains.

“My last name ‘Sultan,’ meaning leadership in Arabic, reminds me to lead with purpose, humility, and continuous learning.”

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