Associate Research Scholar

The petitioner proposes to continue her research in the field of cyber security, specifically focusing on securing critical infrastructure from cyber-attacks and developing methods to improve digital security.

The petitioner proposes to continue research at the intersection of natural language processing (NLP) and large language models (LLMs) specifically for cybersecurity threat detection. This work involves developing AI-driven frameworks that enable real-time identification and risk assessment of cyber threats to protect government entities and businesses. The endeavor aims to mitigate financial damage and enhance the security of vital national infrastructure through automated threat intelligence.

The petitioner proposes to develop state-of-the-art technological solutions for next-generation AI and deep learning algorithms, focusing on privacy preservation and cyber-threat detection architectures. This work aims to fortify digital defenses against cyberattacks and secure sensitive health data to reduce the overall healthcare burden in the U.S.

The petitioner proposes to develop and implement advanced cryptographic techniques and innovative machine learning models. This work aims to ensure secure data transmission and analysis across healthcare systems, Internet-of-Things (IoT) networks, and critical digital infrastructure. The endeavor focuses on enhancing cybersecurity within the framework of artificial intelligence applications.