2023-Q3: team updates


During this quarter, the following papers from my team have been accepted for publication:

  • K.-H. Ngo, G. Durisi, A. Graell i Amat, P. Popovski, A. E. Kalør, and B. Soret, “Unsourced multiple access with common alarm messages: Network slicing for massive and critical IoT,” IEEE Trans. Commun., 2023. [arXiv]

  • A. Munari, F. Lazaro, G. Durisi, and G. Liva, “The dynamic behavior of frameless ALOHA: Stability, throughput, and age of information,” IEEE Trans. Commun., 2023. [arXiv]

  • K.-H. Ngo, G. Durisi, A. Graell i Amat, A. Munari, and F. Lazaro, “Age of information in slotted aloha with energy harvesting,” in Proc. IEEE Global Telecommun. Conf. (GLOBECOM), Kuala Lumpur, Malaysia, Dec. 2023. [arXiv]

Furthermore, we have submitted for publication the following monograph:

  • F. Hellström, G. Durisi, B. Guedj, and M. Raginsky, “Generalization Bounds: Perspectives from Information Theory and PAC-Bayes,” Sep. 2023. [arXiv]

Team members

Alireza Bordbar and Kaan Okumus have joined our team.

  • Alireza, who got a master degree from Iran University of Science and Technology (Iran), will work on machine learning for wireless communications.
  • Kaan, who got a master degree from EPFL (Switzerland), will work on goal-oriented communications


During this quarter, I taught the following two courses:

  • EEN100 – Statistics and machine learning in large dimensions

  • MVE137 – Probability and statistical learning using Python