Number of documents


Prof. Sandrine VATON

Experienced Full Professor with a demonstrated history of working in the telecommunications industry.

Skilled in Mathematical Modeling, Network Management, Network Security, Signal Processing and Digital Communications, Statistics, Time Series Analysis and Stochastic Simulations, Software and Hardware Acceleration, Computational Finance.

Strong education professional with a PhD in signal processing from Telecom ParisTech and an accreditation to supervise research (HDR) in computer science from the University of Rennes 1.

Gender equality adviser committed to promote computer science initiatives that reach girls.

Member of the Scientific Council at AFNIC.

European Transactions on Telecommunications   

Journal articles1 document

  • Christian Callegari, Sandrine Vaton, Michele Pagano. A new statistical method for detecting network anomalies. European Transactions on Telecommunications, Wiley, 2010, 21 (7), pp.575-588. ⟨hal-00565947⟩