paolo.dilorenzo@uniroma1.it's picture

1) Signal Processing for Big Data (2023-2024). The lessons will be held Monday from 10 a.m. to 1 p.m., and Friday from 2 p.m. to 4 p.m, at via Ariosto in Room A2.  

 

Webpage:  https://sites.google.com/site/paolodilorenzohp/teaching/signal-processin...

 

Classroom code (2023-2024):  xl5gksl

 

The first lesson of the course will be on September 29th, 2 p.m. to 4 p.m, in Room A2 (via Ariosto).

 

For further questions, please contact me at paolo.dilorenzo@uniroma1.it

 

 

2) Teoria dei Segnali a.a. 2022-2023 (sede di Latina). Iscrizione a Google Classroom (Codice corso: ulg2pwq). Tutte le informazioni verranno diffuse attraverso la pagina web del docente (programma, modalità d'esame, testi consigliati) e la pagina Classroom del corso (appunti, videolezioni). Per comunicazioni con il docente, usare l'indirizzo e-mail istituzionale oppure la bacheca di Classroom.

 

Pagina web:  https://sites.google.com/site/paolodilorenzohp/teaching/teoria-dei-segnali

 

Orario delle Lezioni dal 20-02-2022 al 26-05-2023

 

   -  Mercoledì, ore 14-19, Aula 10, Facoltà di Ingegneria, sede di Latina.

 

   -  Venerdì, ore 10-14, Aula 10, Facoltà di Ingegneria, sede di Latina.

 

La prima lezione di Teoria dei Segnali si terrà Venerdì 24 Febbraio 2023.

Course Code Year Course - Attendance Bulletin board
SIGNAL PROCESSING FOR BIG DATA 1047202 2023/2024
Network Resource Management 10612270 2023/2024
NETWORKING FOR BIG DATA AND LABORATORY 1047223 2023/2024
TEORIA DEI SEGNALI 10596204 2023/2024
TEORIA DEI SEGNALI 1041892 2023/2024
SIGNAL PROCESSING FOR BIG DATA 1047202 2022/2023
TEORIA DEI SEGNALI 1041892 2022/2023
TEORIA DEI SEGNALI 10596204 2022/2023
SIGNAL PROCESSING FOR BIG DATA 1047202 2021/2022
TEORIA DEI SEGNALI 1041892 2021/2022
TEORIA DEI SEGNALI 10596204 2021/2022
SIGNAL PROCESSING FOR BIG DATA 1047202 2020/2021
TEORIA DEI SEGNALI 1041892 2020/2021
SIGNAL PROCESSING FOR BIG DATA 1047202 2019/2020
TEORIA DEI SEGNALI 1041892 2019/2020
SIGNAL PROCESSING FOR BIG DATA 1047202 2018/2019
TRASMISSIONE NUMERICA 1022914 2018/2019
TEORIA DEI SEGNALI 1041892 2018/2019
SIGNAL PROCESSING FOR BIG DATA 1047202 2017/2018
TEORIA DEI SEGNALI 1041892 2017/2018
SIGNAL PROCESSING FOR BIG DATA 1047202 2016/2017

Ricevimento su appuntamento. Email: paolo.dilorenzo@uniroma1.it

Paolo Di Lorenzo is an Associate Professor in the Department of Information Engineering, Electronics and Telecommunications, Sapienza University of Rome. He received the M.Sc. and Ph.D. degrees (magna cum laude) in Telecommunication Engineering in 2008 and 2012, respectively, both from Sapienza University of Rome. His advisor was Prof. Sergio Barbarossa.

From September 2010 to April 2011, he held a research appointment in the Department of Electrical Engineering, University of California at Los Angeles, under the supervision of Prof. Ali H. Sayed.

From March 2012 to April 2015, he was a postdoctoral researcher in the Department of Information Engineering, Electronics and Telecommunications, Sapienza University of Rome. His research was supported by three European research projects: FREEDOM, on femtocell networks; SIMTISYS, on moving target detection through satellite constellations; and TROPIC, on distributed computing, storage and radio resource allocation over cooperative femtocells.

From May 2015 to February 2018, he was Assistant Professor (RTD A) in the Department of Engineering, University of Perugia, Italy. From March 2018 to February 2021, he was a Tenure Track Assistant Professor (RTD B) in the Department of Information Engineering, Electronics and Telecommunications, Sapienza University of Rome, Italy.

His primary research interests lie in the areas of signal processing theory and methods, adaptation and learning over complex networks, distributed optimization for big data analytics, graph signal processing, mobile edge computing for 5G, bio-inspired signal and information processing, wireless communications, graph theory, and synthetic aperture radars.

Since January 2021, he is principal investigator of research unit (Sapienza - CNIT) for the H2020 European project entitled: RISE-6G, Reconfigurable Intelligent Sustainable Environments for 6G Wireless Networks.

He has received three best student conference paper awards, which were sponsored by the IEEE signal processing society and the European signal processing society (EURASIP). He was also recipient of the 2012 GTTI award for the best doctoral thesis in information and communication technologies.

He serves as an Associate Editor for the IEEE Transactions on Signal and Information Processing over Networks and for the EURASIP Journal on Advances in Signal Processing. He was Lead Guest Editor of the special issue entitled "Optimization, Learning, and Adaptation over Networks" in the EURASIP Journal on Advances in Signal Processing in December 2017.

He is IEEE senior member. He is a member of the IEEE signal processing society and of the European signal processing society. Since November 2018, he is a member of the Big Data Special Interest Group (BIG DATA SIG) of the IEEE Signal Processing Society.