-
and experiences in at least one of the following areas: 1) advanced data analytics for performance prediction and risk analysis of transportation infrastructure; 2) network level optimization
-
patient-specific, predictive models using real-world clinical data. The project aims to enhance understanding of disease trajectories, optimize treatment strategies, and support real-time clinical decision
-
the direction of the Principal Investigator in building a first-of-its-kind Software as a Medical Device (SaMD) that predicts, detects, and manages SSIs by fusing RGB + thermal wound images
-
patient-specific, predictive models using real-world clinical data. The project aims to enhance understanding of disease trajectories, optimize treatment strategies, and support real-time clinical decision
-
research activities ranging from hydrologic hazard prediction to state-of-art infrastructure mapping, and are supported by various federal funding programs such as NASA SERVIR, NOAA Climate Variability and
-
facilities and communities for studies related to early flood warning systems, air quality prediction, and security in soft target and crowded places. The candidates are expected to publish conference and