Students

Topics for PhD, M.Sc., and B.sc. thesis:

PhD, M.Sc., and B.Sc. theses are available on the following topics:

• Topological signal processing and deep learning

• Goal-oriented and semantic communications

• AI-driven resource optimization for 6G networks

• Distributed/federated optimization and learning

The thesis will be developed within the context of several european and national research projects. If you are interested in one or more topics, please contact me for more information.

Post-Doctoral Researchers:

• Francesca Costanzo, March 2021 - Dec. 2023.  Topic:  Mobile edge computing with reconfigurable intelligent surfaces.

• Stefania Sardellitti, November 2022 - Dec. 2023.  Topic:  RIS-empowered wireless edge intelligence.

Ph.D. students:

• Simone Fiorellino, Ph.D. in Data Science, Nov. 2022 - Oct. 2025.  Topic: Semantic and goal-oriented communications.

• Claudio Battiloro, Ph.D. in Information and Communication Technologies, Nov. 2020 - Oct. 2023.  Topic: Topological signal processing and deep learning.

• Lorenzo Giusti, Ph.D. in Data Science, Nov. 2020 - Sept. 2022.  Topic: Attention mechanisms for topological neural networks.

M.sc. students:

• Leonardo Di Nino, M.Sc. in Data Science, 2024. Thesis: "Deep-unrolled Successive Convex Approximation".

• Sara Cammarota, M.Sc. in Data Science, 2024. Thesis: "Topological Encoders for Goal-oriented Communications".

• Giuseppe Di Poce, M.Sc. in Data Science, 2024. Thesis: "Bio-inspired Federated Learning".

• Enrico Grimaldi, M.Sc. in Data Science, 2024. Thesis: "Topological Dictionary Learning".

• Mario Edoardo Pandolfo, M.Sc. in Data Science, 2024. Thesis: "Latent Space Alignment for Semantic Communications".

• Antonio Rocca, M.Sc. in Data Science, 2024. Thesis: "Deep Reinforcement Learning for Communication Networks Optimization and Control".

• Albachiara Bellaroba, M.Sc. in Data Science, 2024. Thesis: "Topology Design for Decentralized Federated Learning".

• Lorenzo Marinucci, M.Sc. in Mathematics, 2024. Thesis: "Adaptive Topological Signal Processing".

• Simone Fiorellino, M.Sc. in Data Science, October 2022. Thesis: "Topological Auto-encoders".

• Domenico Mattia Cinque, M.Sc. in Data Science, October 2022. Thesis: "Pooling mechanisms for Topological Neural Networks".

• Claudio Battiloro, M.Sc. in Data Science, April 2020. Thesis: "Distributed Tensor Completion over Networks of Cooperative Learners". Best thesis award  2020, IEEE Signal Processing Society Italy Chapter.

B.sc. students:

• Flavio Scapin, B.Sc. in Information Engineering, October 2023. Thesis: "Apprendimento federato in sistemi di comunicazione 6G".

• Alessandro Esposito,  B.Sc. in Information Engineering, May 2023. Thesis: "Localizzazione in reti Wireless 6G dotate di Superfici Intelligenti Riconfigurabili". 

• Claudia Tontini, B.Sc. in Information Engineering, March 2023. Thesis: "Ambienti wireless intelligenti: Principi teorici e applicazioni".

• Davide Raffagnini, B.Sc. in Information Engineering, March 2023. Thesis: "Scheduling dinamico in sistemi wireless dotati di superfici intelligenti riconfigurabili". 

• Simone Chiarparin, B.Sc. in Information Engineering, December 2022. Thesis: "Ottimizzazione delle risorse nei sistemi Mobile Edge Computing".

• Angelo Trifelli, B.Sc. in Information Engineering, December 2022. Thesis: "Edge learning energeticamente sostenibile in reti wireless con vincoli di latenza".

• Nicholas Vavoli, B.Sc. in Information Engineering, December 2022. Thesis: "Architetture di reti neurali per deep learning".

• Asia Bernardis, B.Sc. in Information Engineering, May 2022. Thesis: "Superfici riconfigurabili per ambienti wireless intelligenti e sostenibili".

• Alessia Gianolla, B.Sc. in Information Engineering, May 2022. Thesis: "Analisi delle componenti indipendenti: Teoria e applicazioni".

• Cristian Santaroni, B.Sc. in Information Engineering, March 2022. Thesis: "Elaborazione di segnali definiti su grafo: Teoria e applicazioni".

• Daniela Somma, B.Sc. in Information Engineering, July 2021. Thesis: "Verso le reti 6G: Dal massive MIMO alle superfici intelligenti riconfigurabili".

• Alexandro Sas, B.Sc. in Information Engineering, December 2020. Thesis: "Classificazione di strumenti musicali: Support vector machines e neural networks a confronto".

• Fulvio Sanguigni, B.Sc. in Information Engineering, July 2020. Thesis: "Mobile Edge Computing in reti 5G dotate di Superfici Intelligenti Riflettenti".

Past students (co-advised with Prof. Barbarossa):

• Mattia Merluzzi, Thesis: "Dynamic Edge Computing and Learning" Ph.D. in Information and Communication Technologies, DIET Department, Sapienza University of Rome, 2020.    Best PhD Thesis Award 2020, GTTI

• Mikhail Tsitsvero, Thesis: "Localization properties in dual domains", Ph.D.  in Information and Communication Technologies, DIET Department, Sapienza University of Rome, 2016.

• Pasquale Vecchiarelli, Thesis:  "Parameter estimation of 2D polynomial phase signals: an application to moving target imaging with SAR", Ph.D.  in Information and Communication Technologies, DIET Department, Sapienza University of Rome, 2014; 

• Alessandro Bruner, Thesis: "Adaptive focusing of moving target in SAR images", M.Sc. in Communication Engineering, Sapienza University of Rome, 2012; 

• Alessandro Silvi, Thesis: "Detection of moving targets from satellite with SAR/STAP processing", M.Sc. in Communication Engineering, Sapienza University of Rome, 2012; 

• Marco Omilipo, Tesi: "Decentralized topology control in wireless networks", M.Sc. in Communication Engineering, Sapienza University of Rome, 2010. 

• Simone Magolati, "Squinted enhanced spotlight for high resolution-wide swath imaging", M.Sc. inCommunication Engineering, Sapienza University of Rome, 2009.