Diagnostics and Prediction of Mobile Device Behavior using Data Analytics and Machine Learning

SOTI has accumulated a large number of devices in the past ten years, and how to diagnose and predict the status of these devices has become a very important topic. Through this research we hope to find various parameters and patterns contributing to particular negative impacts. Additionally we would like to be able to Create demonstrable visualizations of such factors, patterns, that affect device performance or behaviour over time. Finally, we will build prediction models to quantify and visualize progression of negative trends up to terminal failures

Faculty Supervisor:

Bo Wang

Student:

Partner:

SOTI Inc

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

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