Adjunct Professor

The petitioner proposes to develop AI-driven activity monitoring methods for quality assurance in large-scale digital systems. The work focuses on identifying risks earlier and improving reliability to reduce costly disruptions across complex software platforms.

The petitioner proposes to develop advanced deep learning models to improve the understanding of structure-function relationships in large biomolecules. This work aims to enable more accurate target identification, better candidate design, and more efficient therapeutic optimization for complex diseases. The endeavor specifically targets bottlenecks in drug development to reduce the high failure rate and cost of new drug candidates.

The petitioner proposes to develop photonics semiconductor chips by designing new on-chip active and passive photonic components and optical metrology systems for wafer- and chip-level testing. This work focuses on monitoring semiconductor fabrication processes and characterizing optoelectronic devices to ensure the performance and reliability of U.S. manufacturing.

The petitioner proposes to develop cutting-edge AI foundation models for large-scale robotic engineering simulations. This research focuses on optimizing robotic structures for strength, weight, and reliability under diverse loading conditions to ensure safe deployment in unpredictable environments.