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Fernando Silveira

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Fernando Silveira Technicolor Palo Alto Laboratory Researcher 735 Emerson Street Palo Alto, CA 94301 - United States Office : +1 (650) 815-4338

I have recently moved to Technicolor's new research lab in sunny Palo Alto, California. There, I will be working on news ways of using user data to improve the quality of personalized services such as movie recommendation systems. If you don't know the Palo Alto lab yet, you should check out our website and come visit us when you are in the Bay area! We are working on very cool research problems and our work will help Technicolor develop a new wave of great content-related products and services. Not so long ago, I graduated from the University of Paris VI after three years being advised by Christophe Diot from the Technicolor Paris Research Lab. My PhD thesis is titled "Unsupervised Diagnosis of Traffic Anomalies" (you can download it in PDF). Over the last three years, I have had the chance to collaborate with Augustin Soule and Italo Cunha from ThLab, Haakon Rigberg and Jennifer Rexford from Princeton University, Ricardo Oliveira from UCLA, Renata Teixeira from LIP6, Nina Taft from Intel Labs Berkeley, and Ramesh Govindan from USC. Research Interests My current areas of interest include : User Profiling Physiological User Data Internet Measurements Traffic Anomaly Diagnosis Network Performance Evaluation Publications and Reports ASTUTE: Detecting a Different Class of Traffic Anomalies Fernando Silveira, Christophe Diot, Nina Taft and Ramesh Govindan ACM SIGCOMM, August, 2010. Download: PDF Slides: PPT Detecting Traffic Anomalies using an Equilibrium Property (Extended Abstract) Fernando Silveira, Christophe Diot, Nina Taft and Ramesh Govindan ACM SIGMETRICS, June, 2010 - Best Poster Award. Download: PDF URCA: Pulling Anomalies by their Root Causes Fernando Silveira and Christophe Diot IEEE Infocom, March, 2010. Download: PDF Slides: PPT Uncovering Artifacts of Flow Measurement Tools Italo Cunha, Fernando Silveira, Ricardo Oliveira, Renata Teixeira and Christophe Diot Passive and Active Measurement Conference, April, 2009. Download: PDF Empirical Evaluation of Network-Wide Anomaly Detection Fernando Silveira, Christophe Diot, Nina Taft and Ramesh Govindan Thomson Technical Report, September, 2008. Download: PDF Challenging the Supremacy of Traffic Matrices in Anomaly Detection Augustin Soule, Fernando Silveira, Haakon Ringberg and Christophe Diot ACM Internet Measurement Conference, October, 2007. Download: PDF Detectability of Traffic Anomalies in Two Adjacent Networks Augustin Soule, Haakon Ringberg, Fernando Silveira, Jennifer Rexford and Christophe Diot Passive And Active Measurement Conference, April, 2007. Modeling the Short-Term Dynamics of Packet Losses (Extended Abstract) Fernando Silveira and Edmundo de Souza e Silva ACM Performance Evaluation Review, December, 2006. Download: PDF Adaptive Forward Error Correction for Interactive Streaming over the Internet Fernando Silveira, Edson Watanabe and Edmundo de Souza e Silva Proceedings of the IEEE GLOBECOM, November, 2006. Download: PDF A Method for Predicting Packet Losses with Applications to Continuous Media Streaming Fernando Silveira and Edmundo de Souza e Silva Proceedings of the Brazilian Symposium on Computer Networks, June, 2006. Download: PDF Short Bio I received a B.Sc. degree (cum Laude) in Computer Science from the Federal University of Rio de Janeiro in 2003. In 2006, I finished my M.Sc. in Systems Engineering working under the supervision of Edmundo de Souza e Silva, also at UFRJ. My M.Sc. thesis was on the prediction of packet loss statistics in end-to-end paths. I have also co-authored work on user-driven congestion control (with Edson Watanabe and Daniel Menasché) and the characterization of user behavior for video on demand systems (with Diana Tomimura). I joined the Technicolor Paris Lab in the summer of 2006 for an internship, and in 2007, I began my PhD studies.

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