Assessing and Identifying Indoor environmental Quality Gaps in Commercial Buildings using Wireless sensors and Big Data Analysis Tools

This project’s objective is to create a proprietary digital platform which will allow for a faster, more accurate diagnosis of a building’s indoor environmental quality (IEQ) – at a fraction of the cost of today’s industry testing rates. The project aims to ensure that data being collected can be properly categorized and analyzed, creating a fully automated diagnostic tool. This novel analysis method requires being able to identify deficiencies in a commercial building that can be remedied, as well as proposing an actionable resolution plan for each identified deficiency.

Faculty Supervisor:

Saman Muthukumarana;Yang Wang

Student:

Ashani Wickramasinghe

Partner:

ioAirFlow

Discipline:

Statistics / Actuarial sciences

Sector:

Professional, scientific and technical services

University:

University of Manitoba

Program:

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