We have developed an mobile app in Swift for IOS to get student feedback about thermal comfort in the buildings on campus. We are collaborating with the Facilities Operations & Maintenance division of UT to collect the student feedback and provide them with useful information so they can improve student comfort on campus while reducing the energy consumption. Ideally, the data will be displayed on an online dashboard. Machine learning techniques will be implemented in order to find relations among diverse factors related to thermal comfort, such us outdoor and indoor temperature, physical characteristics of the students, or clothing. On a second stage of the project, new temperature setpoints will be implemented in the target buildings, and additional student feedback will be collected. This project will result in at least one publication on a scientific journal.
Required: Coding experience (Python)
Preferred: Experience programming apps in Swift
September –Finishing the app
October – Finding the students that will provide the data
November – Data collection
December, January – Data analysis
Finishing the app for IOS (although it is almost finished already)
Making sure the Firebase database works properly
Uploading the app to the App Store
Helping promote the use of the app by students on certain buildings on campus
Optional: Creating an online dashboard to display the results
Data analysis and development of the machine learning models
