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 Tsaia9898123u@gmail.com

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.

 

Student Team
  • George Arias
  • Dave Bravo-Ruelas
  • Andrew Garcia
  • Alex Perez
  • Yao Tsai
  • Jose Virgen
Project Sponsor
Project Liaisons