Senior Software Engineer

The petitioner proposes to advance research at the intersection of artificial intelligence, machine learning, and advanced statistical methods for industrial data analysis. His work focuses on developing mathematical and probabilistic models and simulation tools to enhance the reliability, availability, and safety of sustainable and autonomous transportation systems.

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.

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 continue research on designing state-of-the-art control algorithms to facilitate vehicle automation, aiming to alleviate traffic congestion, minimize energy usage, and ensure safe interactions between road users.