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.

Co-supervisors: Prof. Mikael Skoglund, Prof. Tobias J. Oechtering

I prepared the booklet for 2019 IEEE Information Theory Workshop

My CV is available here

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, accepted for publication in IEEE Transactions on Information Theory , DOI:10.1109/TIT.2020.2984345 arXiv:1801.10543

Conference papers

    International

  • G. Cervia, T. J. Oechtering, and M. Skoglund, Remote Joint Strong Coordination and Reliable Communication, accepted at IEEE International Symposium on Information Theory, 2020, available online at https://people.kth.se/~cervia/RCISIT2020long.pdf
  • G. Cervia, T. J. Oechtering, and M. Skoglund, Fixed-Length Strong Coordination, in IEEE Information Theory Workshop, 2019 arXiv:1909.12691
  • 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, 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)
Last updated: April 2020