The petitioner proposes to develop and implement deep learning models for medical image analysis to enhance diagnostic accuracy and streamline clinical workflows. The work focuses on improving disease detection efficiency to democratize access to high-quality medical diagnostics and reduce global healthcare disparities.
The petitioner proposes to develop state-of-the-art machine learning and optimization methods for predictive analytics, prescriptive analytics, and operations management. This work aims to inform decision-making and improve efficiency across healthcare operations, revenue management, manufacturing, and supply chains. The endeavor specifically focuses on enhancing patient outcomes and supporting the productivity of the U.S. healthcare system.
The petitioner intends to continue research in the field of photonics, specifically improving and developing methods in laser additive manufacturing and identifying functional applications for these techniques. This work aims to accelerate the use of laser additive manufacturing and nanofabrication in areas including biomedical devices, solar cells, advanced optics, and microelectronics.
