Bio

Graduated in Mathematics from the University of Pisa with a thesis on “Polarization of DMCs and Polar Codes” pursued with a master stage at Thales Alenia Space, Rome.

I earned my PhD degree at the Laboratoire ETIS – joint research unit (UMR 8051) of Université Paris Seine, ENSEA, Université Cergy-Pontoise and CNRS – with a thesis on “Coordination of autonomous devices over noisy channels”.

Advisor: Prof. Inbar Fijalkow
Co-supervisors: Dr. Laura Luzzi, Dr. Maël Le Treust

I'm currently a PostDoc at KTH – Stockholm – carrying out research on information theory.

Publications

Journal papers

  • G. Cervia, L. Luzzi, M. Le Treust and M. R. Bloch, Strong coordination of signals and actions over noisy channels with two-sided state information, submitted to IEEE Transactions on Information Theory , March 2018 arXiv:1801.10543

Conference papers

    International

  • G. Cervia, L. Luzzi, M. Le Treust and M. R. Bloch, Strong Coordination Over Noisy Channels with Strictly Causal Encoding, in IEEE 56th Allerton Conference on Control Communication and Computing, Monticello, Illinois, 2018 arXiv:1809.10934
  • G. Cervia, L. Luzzi, M. Le Treust and M. R. Bloch, Strong coordination of signals and actions over noisy channels, in IEEE International Symposium on Information Theory, 2017 DOI:10.1109/ISIT.2017.8007047 arXiv:1705.05587
  • G. Cervia, L. Luzzi, M. R. Bloch and M. Le Treust, Polar coding for empirical coordination of signals and actions over noisy channels, in IEEE Information Theory Workshop, 2016 DOI:10.1109/ITW.2016.7606800 arXiv:1609.06432
  • National

  • G. Cervia, L. Luzzi, M. Le Treust and M. R. Bloch, Polar codes for empirical coordination over noisy channels with strictly causal encoding, in Colloque GRETSI, 2017 arXiv:1802.09795

Teaching

2018-19 (ENSEA)

Teaching assistant (travaux dirigés et travaux pratiques):

  • Statistical Signal Processing (Modélisation des signaux aléatoires)

2017-18 (ENSEA)

Teaching assistant (travaux dirigés et travaux pratiques):

  • Statistical Signal Processing (Modélisation des signaux aléatoires)
  • Statistics and Numerical Methods (Statistiques et méthodes numériques)

Teaching assistant (travaux dirigés):

  • Information Theory (Théorie de l’information et compression)

Co-supervisor:

  • Mini-project in Networks and Telecommunications "Polar Codes". Student: Amar Mamodaly

2016-17 (ENSEA)

Teaching assistant (travaux dirigés et travaux pratiques):

  • Probability and Statistics (Probabilités et statistiques II)
  • Statistical Signal Processing (Modélisation des signaux aléatoires)