The objective of this project is to create a data set and tools for analyzing potential risks in critical networks. By focusing on power networks and collecting a series of heterogeneous data (e.g., topology, demand, outages), a comprehensive characterization of complex networks considering transmission and distribution has been created. Outage and network topology data for
Faculty Mentor: Giulia Pedrielli
Stochastic Modeling and Optimization to Improve Identification and Treatment of Alzheimer’s Disease
Alzheimer’s Disease (AD) is the 6th leading cause of death in the United States and affects more than 5 million people. AD can be detected at an early stage through biomarker tests including p-Tau, FDG-PET, and hippocampal. This research focuses on the formulation of a Markov Chain (MC) model to predict the AD evolution due
