Number of documents

4

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.


2014   

Journal articles2 documents

  • Tristan Groleat, Sandrine Vaton, Matthieu Arzel. High-Speed Flow-Based Classification on FPGA. International Journal of Network Management, Wiley, 2014, 24 (4), pp.253-271. ⟨10.1002/nem.1863⟩. ⟨hal-01058333⟩
  • Tristan Groleat, Matthieu Arzel, Sandrine Vaton. Stretching the edges of SVM traffic classification with FPGA acceleration. IEEE Transactions on Network and Service Management, IEEE, 2014, 11 (3), pp.1-14. ⟨10.1109/TNSM.2014.2346075⟩. ⟨hal-01058332⟩

Conference papers2 documents

  • Isabel Amigo, Sandrine Vaton, Pablo Belzarena. First-price auctions with reimbursement in NSP alliances with asymmetric buyers. LANC 2014 : 8th Latin America Networking Conference, Sep 2014, Montevideo, Uruguay. pp.Art. n°1 -, ⟨10.1145/2684083.2684084 ⟩. ⟨hal-01167135⟩
  • Valentin Mena Morales, Pierre-Henri Horrein, Amer Baghdadi, Erik Hochapfel, Sandrine Vaton. Energy-Efficient FPGA Implementation for Binomial Option Pricing Using OpenCL. DATE 2014 : Design, Automation and Test in Europe, Mar 2014, Dresden, Germany. ⟨hal-00979390⟩