his research develops a classification system for wheelchair navigation based on surface difficulty, inspired by ski trail ratings. By measuring vibration and effort across urban environments, it aims to provide users with actionable information to support safer route choices, reduce injury risk, and improve independence and accessibility in everyday mobility.

Lead contamination in drinking water threatens millions. This research combines physics-based pipe models with machine learning to identify lead pipes using vibration data. Generating thousands of simulated signals enabled a classifier with 99% accuracy, offering a noninvasive, cost-effective method to locate hidden lead pipes and support safer water infrastructure worldwide.