Graduate Research Assistant

The petitioner proposes to continue his research in computer science by developing machine learning algorithms designed to improve the detection of anomalous and out-of-distribution data. This work focuses on creating better datasets and advancing artificial intelligence to enhance cybersecurity measures and combat cybercrime. The endeavor aims to improve safety and security in applications ranging from autonomous vehicle navigation to intelligent surveillance systems.

The petitioner proposes to continue research in developing trustworthy and human-centered artificial intelligence systems, specifically focusing on Large Language Model (LLM) safety. The work involves creating advanced LLM-based systems that enhance productivity while implementing safeguards against bias and unfair outcomes. The intended impact is to ensure AI-driven applications operate responsibly and equitably within the United States.

The petitioner proposes to investigate and integrate the mind-brain tandem to enhance the robustness, generalization, and learning abilities of intelligent AI models. This work focuses on designing advanced AI systems with specific applications in autonomous vehicle decision-making and cybersecurity threat detection.

The petitioner proposes to enhance the safety and security of large language models (LLMs) to combat malicious cyberattacks and promote trustworthy AI technologies. His work focuses on addressing vulnerabilities in AI systems and designing methods to safeguard against adversarial manipulation.