A paper by Cristina Rottondi and Alessandro Giusti gets a Best Paper Award
13 November 2020
The paper titled “Machine-Learning Method for Quality of Transmission Prediction of Unestablished Lightpaths” by Rottondi, C., Barletta, L,, Giusti, A. and Tornatore, M. has received the Charles Kao Award for the Best Optical Communications & Networking Paper. The first author Cristina Rottondi, a former IDSIA member, worked on this paper while at IDSIA in collaboration with Alessandro Giusti. We congratulate all the authors.
https://ieeexplore.ieee.org/document/8293995
https://ieeexplore.ieee.org/document/8293995