Research Scientist

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.

The petitioner proposes to discover vulnerabilities in prominent internet and network components and develop robust, practical solutions to improve security and privacy. His work specifically focuses on enhancing cybersecurity measures for various network services, including serverless computing environments.

The petitioner proposes to develop machine-learning-based defense systems for next-generation networks, specifically targeting malicious cyber activities across web infrastructure and IoT devices. The work involves designing defense architectures to secure wireless communications and identifying threat patterns to protect U.S. infrastructure.

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.