Ritratto di marco.polverini@uniroma1.it

 

Programmable Networks (A.A. 2023/24)

 

Time Schedule:

Wdnesday 13:00-17:00 (Aula A4, DIAG) - Thursday 17:00-19:00 (Aula A5, DIAG)

 

Lectures are given in presence

 

Teaching Material: The slides of the course will be available on the e-learning platform (https://elearning.uniroma1.it/course/view.php?id=17681).

 

Exam Dates: T.B.D.

 

Tecniche e Modelli di Rete A.A. 2023/24

 

Orario:  Martedì: 8:00-12.00 (aula 20, RM31) - Giovedì: 12.00-16:00 (aula 16, RM31)

 

Le lezioni sono erogate in presenza.

 

Materiale Didattico: Slides a cura del Docente disponibili su Moodle (https://elearning.uniroma1.it/course/view.php?id=17590)

 

Appelli disponibili: Fare riferimento alla bacheca del Docente verbalizzante (Prof. Marco Listanti)

 

 

Fondamenti di Comunicazioni e Internet (Canale 2) A.A. 23/24

 

orario: Lunedì (12-16), Martedi (10-12) e Giovedì (08-10) - AULA 108, Edificio Marco Polo (Scalo San Lorenzo)

 

Le lezioni sono erogate in presenza.

 

Materiale didattico: il materiale didattico del corso è reperibile sulla piattaforma Moodle del corso FCI_II_23_24 (https://elearning.uniroma1.it/course/view.php?id=16878).

 

Appelli disponibili: T.B.A.

 

 

Network Infrastructures (A.Y. 2023/24)

 

Time Schedule: Monday 10:00-12:00 (Aula 2L, Castro Laurenziano, RM18) - Friday 08:00-11:00 (Aula 1L, Castro Laurenziano, RM18)

 

Lectures are given in presence

 

Starting day 25 Settembre 2023.

 

Teaching Material: The slides of the course and all the announcements will be available on the Moodle page of the course (https://elearning.uniroma1.it/course/view.php?id=16855)

 

Exam Dates

Insegnamento Codice Anno Corso - Frequentare Bacheca
TECNICHE E MODELLI DI RETE 1022012 2023/2024
FONDAMENTI DI COMUNICAZIONI E INTERNET 10607002 2023/2024
PROGRAMMABLE NETWORKS 10606936 2023/2024
NETWORK INFRASTRUCTURES 1027171 2023/2024
NETWORK INFRASTRUCTURES 1027171 2023/2024
NETWORK INFRASTRUCTURES 1027171 2023/2024
NETWORK INFRASTRUCTURES 1027171 2023/2024
TECNICHE E MODELLI DI RETE 1022012 2022/2023
TELECOMUNICAZIONI 1015392 2022/2023
NETWORK INFRASTRUCTURES 1027171 2022/2023
PROGRAMMABLE NETWORKS 10606936 2022/2023
NETWORK INFRASTRUCTURES 1027171 2022/2023
NETWORK INFRASTRUCTURES 1027171 2022/2023
NETWORK INFRASTRUCTURES 1027171 2022/2023
TECNICHE E MODELLI DI RETE 1022012 2021/2022
TELECOMUNICAZIONI 1015392 2021/2022
NETWORK INFRASTRUCTURES 1027171 2021/2022
NETWORK INFRASTRUCTURES 1027171 2021/2022
NETWORK INFRASTRUCTURES 1027171 2021/2022
NETWORK INFRASTRUCTURES 1027171 2021/2022
NETWORK INFRASTRUCTURES 1027171 2020/2021
TECNICHE E MODELLI DI RETE 1022012 2020/2021
NETWORK INFRASTRUCTURES 1027171 2020/2021
NETWORK INFRASTRUCTURES 1027171 2020/2021
NETWORK INFRASTRUCTURES 1027171 2020/2021
NETWORK INFRASTRUCTURES 1027171 2019/2020
TECNICHE E MODELLI DI RETE 1022012 2019/2020
RETI DI TELECOMUNICAZIONI 1008745 2019/2020
RETI DI TELECOMUNICAZIONI 1008745 2018/2019
NETWORK INFRASTRUCTURES 1027171 2018/2019
LABORATORIO INTERNET 1022857 2018/2019
LABORATORIO INTERNET I 1035903 2018/2019
RETI DI TELECOMUNICAZIONI 1008745 2017/2018
NETWORK INFRASTRUCTURES 1027171 2017/2018
RETI DI TELECOMUNICAZIONI 1008745 2016/2017

Su appuntamento

Marco Polverini received his Master Degree, magna cum laude, in Telecommunications Engineering, in April 2010 and the Ph.D degree in Information and Communication Engineering in 2014 from University of Rome "Sapienza". Currently, he is a Postdoctoral researcher at the Department of Information, Electronic and Telecommunications engineering (DIET) of University of Rome "Sapienza".
In 2010 he received the Best Master Thesis Award from Rotary Club (link) and in 2014 he received the Best PhD Thesis Award from Gruppo Telecomunicazioni e Tecnologie dell'Informazione (GTTI).
From May to July 2013 he has been a Visitor Student at the School of Computing and Information Sciences (SCSI) of Florida International University (FIU), Miami, FL, under the supervision of Prof. Shaolei Ren.
His main research interests are Routing Protocols for Energy Saving in new generation Telecommunication Networks, Traffic Matrix estimation and Cloud Computing.