World's Best Scientists 2026 revealed!
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Computer Science
Italy
2025

D-Index & Metrics

Computer Science

D-Index
66
Citations
19027
World Ranking
2309
National Ranking
36

Electronics and Electrical Engineering

D-Index
66
Citations
18932
World Ranking
1132
National Ranking
23

Research.com Recognitions

  • 2025 - Research.com Computer Science in Italy Leader Award
  • 2023 - Research.com Computer Science in Italy Leader Award
  • 2022 - Research.com Computer Science in Italy Leader Award
  • 2012 - IEEE Fellow For contributions to signal processing, sensor networks, and wireless communications

Overview

Sergio Barbarossa is affiliated with Sapienza University of Rome in Italy. Their research spans multiple domains primarily within Computer Science and Engineering, with notable contributions to Electrical and Electronic Engineering, Artificial Intelligence, and Computer Networks and Communications.

Their recent scholarly output includes publications addressing emerging topics in wireless communication and signal processing. Notable papers include:

  • 6G networks: Beyond Shannon towards semantic and goal-oriented communications, 2021, published in HAL (Le Centre pour la Communication Scientifique Directe)
  • Topological Signal Processing Over Simplicial Complexes, 2020, published in IEEE Transactions on Signal Processing
  • Dynamic Computation Offloading in Multi-Access Edge Computing via Ultra-Reliable and Low-Latency Communications, 2020, published in IEEE Transactions on Signal and Information Processing over Networks
  • Wireless Edge Machine Learning: Resource Allocation and Trade-Offs, 2021, published in IEEE Access
  • Lyapunov-Based Optimization of Edge Resources for Energy-Efficient Adaptive Federated Learning, 2022, published in IEEE Transactions on Green Communications and Networking

The scientist's research topics include:

  • Topological and Geometric Data Analysis
  • Advanced Graph Neural Networks
  • Wireless Communication Security Techniques
  • Advanced Wireless Communication Technologies
  • Distributed Sensor Networks and Detection Algorithms
  • Energy Harvesting in Wireless Networks
  • Wireless Signal Modulation Classification

Frequent coauthors in their work include:

  • Paolo Di Lorenzo
  • Stefania Sardellitti
  • Mattia Merluzzi
  • Claudio Battiloro
  • Emilio Calvanese Strinati

Barbarossa has also published extensively in a set of recurring venues, such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Signal Processing
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • IEEE Transactions on Signal and Information Processing over Networks
  • IEEE Transactions on Green Communications and Networking

Throughout their career, Barbarossa has focused on the development and analysis of wireless communication systems, with work addressing signal processing, sensor networks, distributed algorithms, and efficient resource allocation techniques in edge computing scenarios. This multidisciplinary approach incorporates elements from computational theory and mathematics alongside practical engineering challenges.

In recognition of their contributions to these fields, they were named an IEEE Fellow in 2012 for work related to signal processing, sensor networks, and wireless communications.

Best Publications

  • Optimal designs for space-time linear precoders and decoders

    A. Scaglione;P. Stoica;S. Barbarossa;G.B. Giannakis

  • Joint Optimization of Radio and Computational Resources for Multicell Mobile-Edge Computing

    Stefania Sardellitti;Gesualdo Scutari;Sergio Barbarossa

  • Redundant filterbank precoders and equalizers. I. Unification and optimal designs

    A. Scaglione;G.B. Giannakis;S. Barbarossa

  • 6G: The Next Frontier: From Holographic Messaging to Artificial Intelligence Using Subterahertz and Visible Light Communication

    Emilio Calvanese Strinati;Sergio Barbarossa;Jose Luis Gonzalez-Jimenez;Dimitri Ktenas

  • Analysis of multicomponent LFM signals by a combined Wigner-Hough transform

    S. Barbarossa

  • Communicating While Computing: Distributed mobile cloud computing over 5G heterogeneous networks

    Sergio Barbarossa;Stefania Sardellitti;Paolo Di Lorenzo

  • Product high-order ambiguity function for multicomponent polynomial-phase signal modeling

    S. Barbarossa;A. Scaglione;G.B. Giannakis

  • 6G networks: Beyond Shannon towards semantic and goal-oriented communications

    Emilio Calvanese Strinati;Sergio Barbarossa

  • Signals on Graphs: Uncertainty Principle and Sampling

    Mikhail Tsitsvero;Sergio Barbarossa;Paolo Di Lorenzo

  • Non-data-aided carrier offset estimators for OFDM with null subcarriers: identifiability, algorithms, and performance

    Xiaoli Ma;C. Tepedelenlioglu;G.B. Giannakis;S. Barbarossa

  • Filterbank transceivers optimizing information rate in block transmissions over dispersive channels

    A. Scaglione;S. Barbarossa;G.B. Giannakis

  • Redundant filterbank precoders and equalizers. II. Blind channel estimation, synchronization, and direct equalization

    A. Scaglione;G.B. Giannakis;S. Barbarossa

  • Detection and imaging of moving objects with synthetic aperture radar. Part 2: Joint time-frequency analysis by Wigner-Ville distribution

    S. Barbarossa;A. Farina

  • Optimal Linear Precoding Strategies for Wideband Noncooperative Systems Based on Game Theory—Part I: Nash Equilibria

    G. Scutari;D.P. Palomar;S. Barbarossa

  • The MIMO Iterative Waterfilling Algorithm

    G. Scutari;D.P. Palomar;S. Barbarossa

  • Competitive Design of Multiuser MIMO Systems Based on Game Theory: A Unified View

    G. Scutari;D. Palomar;S. Barbarossa

  • Channel-independent synchronization of orthogonal frequency division multiple access systems

    S. Barbarossa;M. Pompili;G.B. Giannakis

  • Asynchronous Iterative Water-Filling for Gaussian Frequency-Selective Interference Channels

    G. Scutari;D.P. Palomar;S. Barbarossa

  • Detection and imaging of moving objects with synthetic aperture radar. Part 1: Optimal detection and parameter estimation theory

    S. Barbarossa

  • Potential Games: A Framework for Vector Power Control Problems With Coupled Constraints

    G. Scutari;S. Barbarossa;D.P. Palomar

  • Cognitive MIMO radio

    G. Scutari;D. Palomar;S. Barbarossa

Frequent Co-Authors

Gesualdo Scutari
Gesualdo Scutari Purdue University West Lafayette
Anna Scaglione
Anna Scaglione Cornell University
Georgios B. Giannakis
Georgios B. Giannakis University of Minnesota
Daniel P. Palomar
Daniel P. Palomar Hong Kong University of Science and Technology
Ananthram Swami
Ananthram Swami United States Army Research Laboratory
Alfonso Farina
Alfonso Farina Finmeccanica (Italy)
Ali H. Sayed
Ali H. Sayed École Polytechnique Fédérale de Lausanne
Sergios Theodoridis
Sergios Theodoridis National and Kapodistrian University of Athens
Xiaoli Ma
Xiaoli Ma Georgia Institute of Technology
Aarno Parssinen
Aarno Parssinen University of Oulu

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