Maintenance Database Manager & Analyst

The petitioner proposes to design, improve, and implement domain-specific Generative AI models, Large Language Models (LLMs), and predictive models for critical sectors including transportation, manufacturing, and insurance. His work focuses on addressing challenges in predictive maintenance, quality control, traffic management, and pedestrian behavior prediction to enhance autonomous systems. The endeavor aims to automate routine tasks and provide personalized product recommendations in consumer retail while maintaining the U.S. lead in AI technology.

The petitioner proposes to employ machine learning and advanced data-driven models to enhance the safety, decision-making, and reliability of autonomous systems. Her work focuses on addressing challenges in autonomous navigation and trajectory prediction for self-driving cars, autonomous surface vessels, and intelligent water treatment systems.

The petitioner proposes to develop efficient online machine-learning models to improve decision-making accuracy and scalability in large-scale data applications. This research specifically aims to enhance the safety and reliability of autonomous vehicles, which is a key priority for U.S. technological advancement.

The petitioner proposes to develop state-of-the-art autonomous vehicle (AV) and intelligent transportation system (ITS) frameworks. This work focuses on reducing traffic congestion, improving road safety by removing human error, and advancing the sustainability of global mobility and economic growth.