Alessio Ferrari
Alessio is a PhD candidate in Electrical, Electronics and Communications Engineering in the OptCom group.
Alessio received his Master Degree in Telecommunication Engineering in Politecnico di Torino in April 2017 cum Laude with a thesis about physical layer aware networking.
As PhD student he actively collaborates with Cisco Photonics in research activities.
Alessio is an active member of the Telecom Infra Project (TIP), beeing a collaborator in the Physical Simulation Environment (PSE) working group within the Open Optical & Packet Transport (OOPT) project. In this framework, he collaborate for the design of a python library for optical performances evaluation in multivendor optical networks together with companies like Facebook, Microsoft, Telefonica, Orange, Cisco Photonics, Juniper Networks, and many more. The code is available on gitub : Telecominfraproject/oopt-gnpy and Telecominfraproject/oopt-raman.
From November 2017 he is a PhD student at Politecnico di Torino.
In October 2017, he has been visiting researcher in the OpNeAR Lab at the Univiersity of Texas (UT) at Dallas working on the developement and validation of a physical layer aware orchestrator under the supervision of Prof. Andrea Fumagalli.
In March 2017, he won a six months research grant at Politecnico di Torino to prosecute his studies sarted with his thesis.
Alessio has been president of the Torino OSA student chapter in 2019.
Alessio's interests include science communication, cinema and dog education.
Dipartimento di Elettronica e Telecomunicazioni (DET)
Politecnico di Torino,
C.so Duca degli Abruzzi 24 - 10129 - Torino - Italy
Phone number: +39 011/090 4215
Title | Date | Event | Download |
---|---|---|---|
Networking benefits of advanced DSP techniques and hybrid fiber amplification | July, 2017 | ICTON | ppsx (2.35 MB) |
SNAP-Driven Updates of Physical Layer to Improve Performances of Photonic Networks | May, 2017 | Fotonica | pdf (900.53 KB) |
Networking Benefits of Advanced DSP Techniques | May, 2017 | Fotonica | ppsx (2.16 MB) |
Routing Space Size Estimation for Reconfigurable Optical Networks | May, 2017 | Fotonica | pdf (759.34 KB) |