The petitioner proposes to develop and enhance computational tools and algorithms to improve the efficiency and safety of chemical processes. This work focuses on applying advanced modeling to carbon management strategies and industrial decision-making to support environmental sustainability and economic competitiveness.
The petitioner proposes to develop novel graph-based artificial intelligence models to enhance machine learning applications in social media analytics, public health monitoring, and medical diagnostics. Her work focuses on creating algorithms that account for complex network relationships to detect digital misinformation and improve the precision of clinical diagnostics for chronic illnesses.
The petitioner proposes to research and identify high-risk patients for challenging pain control before surgery to create tailored intervention and medication plans for hospitalization. This work aims to provide effective pain management across all phases of patient care, specifically focusing on improving outcomes for cancer survivors and patients undergoing renal resections.