Francesco Brancati

Position: Alumni (Former Members) Brancati, Francesco

Francesco Brancati took his Master degree in Computer Science at the University of Firenze in 2008 and his PhD degree in Computer Science at the Resilient Computing Lab - University of Firenze in 2012. His research activity mainly focused on adaptive and safe estimation of different sources of uncertainty to improve dependability of highly dynamic systems through online monitoring analysis. During his PhD he participated in the national project DOTS-LCCI. (Funded by MIUR) and in the European funded project FP7-STREP-234088 ALARP). Currently he is coordinating the R&D projects and activities in Resiltech. Francesco have authored and co-authored papers appeared in Proceedings of International Conferences, Journal and Books.

Recent Publications

  • Journal A. Bondavalli, F. Brancati, A. Ceccarelli, D. Santoro and M. Vadursi. "Differential analysis of Operating System indicators for anomaly detection in dependable systems: An experimental study", Measurement, Vol. 80. 2016, pp. 229 - 240. [More] 
  • Conference F. Brancati et al.. "Cost Prediction for V&V and Certification Processes". Dependable Systems and Networks Workshops (DSN-W), 2015 IEEE International Conference on. 2015. pp. 57-62. [More] 
  • Conference H. Kopetz, O. Höftberger, B. Frömel, F. Brancati and A. Bondavalli. "Towards an understanding of emergence in systems-of-systems". System of Systems Engineering Conference (SoSE), 2015 10th. 2015. pp. 214-219. [More] 
  • Journal A. Bovenzi, F. Brancati, S. Russo and A. Bondavalli. "An OS-level Framework for Anomaly Detection in Complex Software Systems", IEEE Transactions on Dependable and Secure Computing, Vol. 12, May-June 1, 2015, pp. 366-372. [More] 
  • Journal A. Ceccarelli, L. Montecchi, F. Brancati, P. Lollini, A. Marguglio and A. Bondavalli. "Continuous and Transparent User Identity Verification for Secure Internet Services", IEEE Transactions on Dependable and Secure Computing, Vol. 12, May-June, 2015, pp. 270-283. [More] 

Resilient Computing Lab, 2011

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