All Cases

The petitioner proposes to develop state-of-the-art approaches to identify and implement power-oversubscription systems in GPU-based AI data centers. This work aims to increase capacity in U.S. facilities without compromising workload performance while simultaneously addressing algorithmic fairness in digital systems.

The petitioner proposes to develop advanced machine learning and computer vision algorithms to enable natural and human-friendly communication between humans and robotic systems. This work focuses on integrating statistical learning and visual perception to improve real-time decision-making in humanoid robotics, autonomous vehicles, and intelligent transportation systems.

The petitioner proposes to continue developing state-of-the-art software systems that enable applications to run on edge devices in collaboration with edge servers. This work focuses on enhancing the speed and performance of latency-sensitive technologies, specifically augmented reality (AR), virtual reality (VR), and AI chatbot systems. The endeavor aims to reduce performance bottlenecks through edge-based system designs.

The petitioner proposes to develop probabilistic methods for software engineering and program analysis to improve the robustness and efficiency of software systems. This work focuses on enhancing scalability, fault tolerance, and performance optimization in complex digital infrastructures used in healthcare and finance.

The petitioner proposes to continue developing AI-powered software solutions to support mortgage and e-commerce platforms. His work focuses on enhancing automation, decision-making, and fraud detection in financial systems to improve efficiency and reduce human error. This endeavor aims to contribute to the economic resilience of the U.S. digital finance infrastructure.

The petitioner proposes to develop efficient graphics algorithms to enhance a wide range of graphics-driven technologies. This work focuses on improving video games, robotics, wearable virtual reality (VR), extended reality devices, and artificial intelligence (AI). Specifically, he aims to create highly accurate data-driven approaches for fabric and clothing simulation.