Machine Learning For Signal Quality Monitoring
Project Overview: The purpose of this project is to develop a web service in conjunction with a mobile application to handle push notifications regarding anomalies pertaining to uplink data. Users will be able to register, login, and receive notifications upon alarm detection--alarm detection is done on the AT&T side using their own Monitor and Control Unit. The web service shall be able to receive and parse alarms to then notify relevant users of the alarm. The objective is to reduce response time to alarms by sending the alarm directly to the phones of technicians and superiors instead of having someone call the technicians directly. Furthermore, the project also includes a predictive service in which the system shall be able to predict alarms based on trends in alarms regarding but not limited to location, vendors, and weather.
Project Lead: Dave Bravo-Ruelas - bravodavid56@gmail.com
Customer Liaison: Andrew Garcia - mattgarcia94@sbcglobal.net
Architecture/Design Leads: Yao Tsai, Andrew Garcia, Alex Perez
Component Lead: Jose Virgen - j.virgen87@gmail.com
QA Lead: George Arias - george.arias94@yahoo.com
Documentation Lead: Yao Tsai - a9898123u
Presentation Lead: Alex Perez - aperezcarmona94@gmail.com
Liaisons:
Eugene Tuzkov
Principal Engineer / Comm Sys Eng
310.964.1017 / etuzkov@directv.com
Vladimir Villanueva
Staff Engineer / Satellite Operations
310.964.1307 / vtvillanueva@directv.com
Meeting Times:
With Advisors: Wednesdays, 3:15pm - 3:45pm
With Liaison: Wednesdays, 3:45pm - 4:15pm
Individually: Set times change on a weekly basis, but typically Fridays 1:00pm - x
Meeting Times change based on availability of students, advisors, and liaisons.
- George Arias
- Dave Bravo-Ruelas
- Andrew Garcia
- Alex Perez
- Yao Tsai
- Jose Virgen