La Riunione Annuale 2021 si terrà a Lecce dal 1 al 3 Settembre 2021 ed è organizzata dai colleghi dell'Università del Salento.

Attraverso questo portale sono disponibili informazioni su: sede della riunione, alberghi e come raggiungere la sede.

E' possibile registrarsi attraverso questo link:  iscrizione.

Il programma preliminare è il seguente:

GTTI PhD awards

Lorenzo Gaudio, Università degli studi di Parma: Multi-carrier modulations over sparse channels: communication, channel estimation, and radar sensing.

Advisor: Proff. Giulio Colavolpe (Univ. Parma),  Giuseppe Caire (Technische Universität Berlin )

Abstract: The PhD thesis mainly focused on the study of multi-carrier modulations. Starting from the sparsity property of the channel, thanks to its representation in the Doppler-delay domain, we studied aspects related to communication, joint radar and communication, and channel estimation, by proposing novel solutions in terms of waveform design, maximum-likelihood estimators, and graph-based detectors. All the proposed approaches are in line with and positively contributes to the current state-of-the-art.

Bio: Lorenzo Gaudio received the Master of Science degree in Communication Engineering (cum laude) from the University of Parma, Italy, in 2017, with a thesis developed at the German Aerospace Center (DLR) in Munich, and the Ph.D. degree (cum laude) in Information Technology with the Department of Engineering and Architecture at the University of Parma, Italy, in collaboration with the Technische Universität Berlin (TUB), in 2021. His main research interests include digital communications systems, channel coding and information theory, and signal processing.

Mattia Merluzzi, Sapienza University of Rome: Dynamic Edge Computing and Learning

Advisor: Prof. Sergio Barbarossa

Abstract: This work explores the emerging synergy between communication, computing, and learning in 5G and beyond wireless networks endowed with edge computing resources. The main application is the offloading of heavy computations from end devices to nearby edge servers, to run learning and inference tasks at the edge. In such a complex context, a dynamic joint orchestration of radio, computation, and learning resources is investigated, with the goal of exploring the best trade-off between energy consumption, end-to-end delay, and learning performance in time-varying wireless scenarios.

Bio: Mattia Merluzzi received the M.S. degree in telecommunication engineering and the Ph.D. degree in information and communication technologies from Sapienza University of Rome (Italy) in 2017 and 2021, respectively. In 2019, he held a visiting research appointment at CEA-Leti, Grenoble (France). He is currently a research engineer at CEA-Leti, in the laboratory of high data rate wireless communications, where he is involved in the H2020 6G flagship project Hexa-X. His research interests include edge computing, 5G and beyond systems, stochastic optimization, and edge machine learning.

David Solarna, Università degli Studi di Genova: Machine Learning and Pattern Recognition Methods for Remote Sensing Image Registration and Fusion
Advisor: Prof. Gabriele Moser

Abstract: In the last decade, the remote sensing world has dramatically evolved. With the constant evolution and growing variety of available information sources, the remote sensing community has faced a strong need for automatic methods able to use complementary data sources. Indeed, leveraging on a data fusion and machine learning perspective, this thesis proposes a set of methodologies aimed at extracting information from multisource, multimodality, and multiresolution data. These methodologies address several challenging problems of analysis of remote sensing data acquired by satellite missions for Earth observation or planetary surface observation.

Bio: David Solarna received the B.Sc. degree (cum laude), the M.Sc. degree (cum laude), and the Ph.D. degree from the University of Genoa, Italy, in 2014, 2016, and 2021, respectively. In 2016, he was a Visiting Researcher with the NASA Goddard Space Flight Center, Greenbelt, MD, USA. From 2017 to 2020, he was a Research Fellow with the NATO STO CMRE, La Spezia, Italy. His area of interest covers data fusion, with particular focus on image registration techniques, machine learning and pattern recognition methods applied to remote sensing and underwater sonar data. Dr. Solarna received the Interactive Symposium Best Paper Award of the 2016 IEEE International Geoscience and Remote Sensing Symposium.

Michela Meo: For a Sustainable Future of Communications and Networking
Abstract: The emergency related to climate changes and unprecedented increase of inequalities is pushing sustainability in the agenda of international and national organizations. By shaping the future, research and innovation play a fundamental role in tackling these challenges, especially in those sectors, like Information and Communication Technologies (ICT), that are drivers of economical growth.
In this talk, we will first provide data and estimates about sustainability issues in the ICT sector. We will then identify possible research directions. Finally, we will focus on some solutions based on the integration of energy and resource management. As a case study, we will investigate the effectiveness of mobile network operation solutions based on device sleep modes combined with machine learning approaches for traffic and energy prediction.

Bio: Michela Meo is a Professor of Telecommunication Engineering with the Politecnico di Torino. Her research interests include green networking, energy-efficient mobile networks and data centers, Internet traffic classification and characterization, and machine learning for video quality of experience. She edited a book Green Communications (Wiley) and several special issues of international journals. She chairs the International Advisory Council of the International Teletraffic Conference. She is a Senior Editor of IEEE Transactions on Green Communications and was an Associate Editor of ACM/IEEE Transactions on Networking, Green Series of the IEEE Journal on Selected Areas of Communications, and IEEE Communication Surveys and Tutorials. In the role of General or Technical Chair, she has lead the organization of several conferences, including ACM e-Energy, ITC, Infocom Miniconference, ICC simposia, and ISCC. She was the Deputy Rector of the Politecnico di Torino from March 2017 to March 2018.

Nuova offerta formativa - Ingegneria 2040

Franco Bonollo: "Ingegneria 2040: Le nuove sfide nella formazione degli ingegneri nella società della conoscenza"
ABSTRACT: Appare certamente chiara la necessità di avviare una riflessione sull’attualità della formazione ingegneristica in Italia e sulla sua adeguatezza ad affrontare le sfide di cambiamento che il nostro Paese affronterà nei prossimi decenni. È una tematica su cui CopI (Conferenza per l'Ingegneria), a partire dai numerosi approfondimenti disponibili a livello internazionale, intende stimolare un dibattito, a diversi livelli,
- per valutare il ruolo della formazione ingegneristica di fronte a tali sfide,
- per iniziare a progettare un aggiornamento dei programmi e dei metodi formativi
CV:  Il prof. Franco BONOLLO si è laureato nel 1988 in Ingegneria Chimica (Università di Padova); è Professore Ordinario di Metallurgia (ING-IND/21) presso l'Università di Padova. E' stato Presidente del Corso di Laurea Triennale in Ingegneria Meccanica e Meccatronica dal 2010 al 2018; dall’ottobre 2018 è Presidente della Scuola di Ingegneria dell’Università di Padova. Fa parte della Giunta CopI e, in tale ambito, del Gruppo di Lavoro "Ingegneria 2040".
La sua attività scientifica si articola su tematiche quali i processi di fonderia, la saldatura di materiali metallici mediante sorgenti convenzionali e ad alta densità di energia, i materiali compositi a matrice metallica, i trattamenti termici e i trattamenti superficiali di leghe metalliche., con oltre 160 pubblicazioni censite su Scopus.

 PNRR italiano e le sue conseguenze sul settore Telecom
- Camilla Sebastiani: Il PNRR e i Piani per lo sviluppo della banda ultralarga
- Guido Giacomo Ponte e Sabrina Strazzullo: Il PNRR e il contributo di TIM per la digitalizzazione del paese
- Nicola Blefari-Melazzi: Il PNRR come occasione di rilancio del settore delle Telecomunicazioni nel nostro Paese

 Rethinking radar signal processing in 5G era 

G. BIANCHI, D. ORLANDO “Radar and Communication Systems: A Methodological Point of View”
M.S. GRECO, F. GINI, S. FORTUNATI “A reinforcement learning-based approach for target detection in massive MIMO radars”
A. COLUCCIA, G. RICCI, C.D. RICHMOND, “Design of radar receivers for uncooperative spectrum sharing scenarios”
G. PAVAN, G. GALATI, C. WASSERZIER, K. SAVCI “Efficient and secure use of the e.m. spectrum by means of Noise Radar Technology”