INTERNSHIP - Anomaly detection in conference systems

Domain
Engineer – Software
Market
Conference
Location

Izegem, Belgium

Televic Conference

Televic Conference manufactures the most innovative systems for moderated meetings. Its complete range of conference solutions simplifies decision-making by improving the meeting experience. With crystal-clear sound, pristine video, and a clear focus, meetings become more efficient. From the largest international institutions over local parliaments and city councils to boardrooms: Televic Conference drives successful meetings, worldwide.

Topic

 

Our system is very complex and relies on communication between different services. This is both on software level as on network level. 

It may happen (due to different reasons) that a certain signal is not or too late received, but this is difficult to predict and detect. One could design an anomaly detector that observes data and indicates where a problem arose.

 Different solutions are proposed in literature: Network anomaly detection methods (http://www.nr2.ufpr.br/~jefferson/pdf/Network_Anomaly_Detection-Methods…), Adversarially Learned Anomaly Detection (https://arxiv.org/pdf/1812.02288.pdf) and Azure multivariate anomaly detection (https://learn.microsoft.com/en-us/azure/ai-services/anomaly-detector/co…). 

A literature search can be performed after which such a method can be implemented. Note that one of the largest challenges will be to reliably observe large amounts of data

 

Specifics

  • Level: Master
  • Specialty: AI/ML, Anomaly detection
  • Type of work: Research: 30%, Implem.: 40%, Experim.: 30%
  • Location: Televic, University 
  • Type of activities: Design, Literature Study,  Implementation, experimenting, Programming
  • Number of students: 1 or 2

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