Biography

Stephanie is an undergraduate student studying a Bachelor of advanced computing/Bachelor of commerce majoring in computational data science and finance. She is completing her final year doing a thesis unit under the supervision of  Athman Bouguettaya and Abdallah Lakhdari. Stephanie has experience interning as a consultant and data scientist and is interested in the changing impact of AI on the evolving world as well as web development and design.

Project Title:

Machine Learning for Detecting and Predicting Adverse Health Events for the Elderly.

Project Description:

The project leverages in-home behavioral data coupled with contextual data related to age group, ethnicity, and other parameters to provide a highly personalized detection and prevention of adverse events that negatively affect the quality of in-home aging. The study consists of analyzing individual and aggregate living patterns and activities of the elderly based on IoT data. The goal is to provide an efficient carer response protocol by developing machine learning algorithms for detecting and predicting adverse health events for the elderly in a non-obstructive way.