All Cases

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.

The petitioner proposes to advance electromagnetic interference (EMI) mitigation techniques and analytical electromagnetic models for high-speed power electronics systems. This work focuses on improving how EMI is modeled and suppressed to reduce the need for large filters and repeated redesign cycles in power converters.

The petitioner proposes to engineer next-generation optical sensors for neuromodulation and develop tools to manipulate signaling processes in the brain. This work aims to map neurochemical signaling to clarify how these pathways shape both normal function and pathological states, specifically targeting neuropsychiatric and neurological conditions.

The petitioner proposes to develop communication protocols and algorithmic optimization methods to improve energy efficiency and reliability in mobile and IoT networks. The work focuses on creating a scalable framework for IoT deployment that moves beyond traditional cloud-based solutions to support smart-city systems and higher network capacity.

The petitioner proposes to develop and optimize advanced laser-based diagnostic tools for robust near-field optical methods that probe electronic carriers and temperature gradients at the nanoscale. This work aims to identify and develop functional metamaterials for photonic and thermal applications using computational materials science and finite element analysis.

The petitioner proposes to develop efficient training and deployment strategies for large language and multimodal models to enable scalable and accessible AI systems. The work focuses on reducing computational burdens and memory constraints for real-world applications in healthcare and autonomous systems.

The petitioner proposes to use large-scale population datasets, cancer registries, and modern modeling tools, including AI, to identify healthcare and biological determinants of cancer outcomes and disparities. Her work focuses on building statistical and computational frameworks that connect real-world data to clinical decisions, specifically identifying barriers to delayed diagnosis and gaps in care. The goal is to translate these findings into evidence-based strategies for cancer prevention, early detection, and survivorship care.

The petitioner proposes to develop advanced algorithms and computational models to support graph-based knowledge discovery and data integration. This work aims to turn large volumes of structured, heterogeneous data into usable knowledge for practical applications in biomedical research and data-intensive decision-making.