Cristina Rottondi, IDSIA
Future Optical Network Design And Management Assisted by Machine Learning
Recently, machine learning methods have started to enter the field of photonics, ranging
from quantum mechanics, nanophotonics, optical communication and optical networks.
Though machine learning offers many powerful techniques, linking it to optical
communication may not be trivial, due to the inherent peculiarities of optical
In this talk, we will discuss open challenges and benefits that machine learning methods
can bring to optical communications, especially in the field of optical networks design
Cristina Rottondi is a researcher at IDSIA. Her research interests include data privacy
and security in the Automatic Metering Infrastructure of Smart Grids, optical networks
planning, and networked music performance.
Wednesday, 21st of March 2018, 12:00-13:00
Manno, Galleria 1, 2nd floor, room G1-204
Pizza (or alternative food) and drinks will be offered at the end of the talk. If you plan
to attend, please register in a timely fashion at the following link so that we will have
no shortage of food: