World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
69
Citations
22908
World Ranking
1950
National Ranking
988

Electronics and Electrical Engineering

D-Index
69
Citations
22306
World Ranking
951
National Ranking
401

Overview

Osvaldo Simeone is affiliated with King's College London in the United Kingdom. Their research spans multiple topics and fields focused on advanced computing and communication technologies.

The scientist has contributed extensively to the fields of Computer Science and Engineering, with a particular focus on the subfields of Artificial Intelligence, Electrical and Electronic Engineering, and Computer Networks and Communications. Other areas of interest include Aerospace Engineering and Cognitive Neuroscience.

Key topics in their research include:

  • Advanced Memory and Neural Computing
  • Advanced MIMO Systems Optimization
  • Distributed Sensor Networks and Detection Algorithms
  • Privacy-Preserving Technologies in Data
  • Neural Networks and Reservoir Computing
  • Advanced Wireless Communication Technologies
  • Ferroelectric and Negative Capacitance Devices

Osvaldo Simeone has published in various notable venues, with a significant number of publications appearing in the following:

  • arXiv (Cornell University)
  • IEEE Transactions on Signal Processing
  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Transactions on Wireless Communications
  • IEEE Signal Processing Letters

Some recent papers authored by or associated with Simeone include:

  • "Reconfigurable Intelligent Surfaces vs. Relaying: Differences, Similarities, and Performance Comparison," 2020, IEEE Open Journal of the Communications Society
  • "Memristors-From In-Memory Computing, Deep Learning Acceleration, and Spiking Neural Networks to the Future of Neuromorphic and Bio-Inspired Computing," 2020, Advanced Intelligent Systems
  • "Privacy for Free: Wireless Federated Learning via Uncoded Transmission With Adaptive Power Control," 2020, IEEE Journal on Selected Areas in Communications
  • "Semantic-Effectiveness Filtering and Control for Post-5G Wireless Connectivity," 2020, IRIS UNIMORE (University of Modena and Reggio Emilia)
  • "Federated Learning over Wireless Device-to-Device Networks: Algorithms and Convergence Analysis," 2021, arXiv (Cornell University)

Frequent collaborators in Simeone's work include:

  • Sangwoo Park
  • Shlomo Shamai
  • Matteo Zecchin
  • Sharu Theresa Jose
  • Bipin Rajendran

In addition to journal articles and conference papers, Simeone has contributed to book publications. One notable work is the book titled Machine Learning for Engineers, published by Cambridge University Press in 2022.

Best Publications

  • Multi-Cell MIMO Cooperative Networks: A New Look at Interference

    D Gesbert;S Hanly;H Huang;S Shamai Shitz

  • Energy Harvesting Wireless Communications: A Review of Recent Advances

    Sennur Ulukus;Aylin Yener;Elza Erkip;Osvaldo Simeone

  • 5G Wireless Network Slicing for eMBB, URLLC, and mMTC: A Communication-Theoretic View

    Petar Popovski;Kasper Floe Trillingsgaard;Osvaldo Simeone;Giuseppe Durisi

  • Reconfigurable Intelligent Surfaces vs. Relaying: Differences, Similarities, and Performance Comparison

    Marco Di Renzo;Konstantinos Ntontin;Jian Song;Fadil Habibi Danufane

  • Mobile Edge Computing via a UAV-Mounted Cloudlet: Optimization of Bit Allocation and Path Planning

    Seongah Jeong;Osvaldo Simeone;Joonhyuk Kang

  • Spectrum Leasing to Cooperating Secondary Ad Hoc Networks

    O. Simeone;I. Stanojev;S. Savazzi;Y. Bar-Ness

  • A Very Brief Introduction to Machine Learning With Applications to Communication Systems

    Osvaldo Simeone

  • Stable Throughput of Cognitive Radios With and Without Relaying Capability

    O. Simeone;Y. Bar-Ness;U. Spagnolini

  • Energy-Efficient Resource Allocation for Mobile Edge Computing-Based Augmented Reality Applications

    Ali Al-Shuwaili;Osvaldo Simeone

  • Distributed synchronization in wireless networks

    O. Simeone;U. Spagnolini;Y. Bar-Ness;S. Strogatz

  • Pilot-based channel estimation for OFDM systems by tracking the delay-subspace

    O. Simeone;Y. Bar-Ness;U. Spagnolini

  • Joint Precoding and Multivariate Backhaul Compression for the Downlink of Cloud Radio Access Networks

    Seok-Hwan Park;Osvaldo Simeone;Onur Sahin;Shlomo Shamai

  • Memristors - from In-memory computing, Deep Learning Acceleration, Spiking Neural Networks, to the Future of Neuromorphic and Bio-inspired Computing.

    Adnan Mehonic;Abu Sebastian;Bipin Rajendran;Osvaldo Simeone

  • Joint Optimization of Cloud and Edge Processing for Fog Radio Access Networks

    Seok-Hwan Park;Osvaldo Simeone;Shlomo Shamai Shitz

  • Fronthaul Compression for Cloud Radio Access Networks: Signal processing advances inspired by network information theory

    Seok-Hwan Park;Osvaldo Simeone;Onur Sahin;Shlomo Shamai Shitz

  • Privacy for Free: Wireless Federated Learning via Uncoded Transmission With Adaptive Power Control

    Dongzhu Liu;Osvaldo Simeone

  • Downlink multicell processing with limited-backhaul capacity

    O. Simeone;O. Somekh;H. V. Poor;S. Shamai

  • On the Transfer of Information and Energy in Multi-User Systems

    A. M. Fouladgar;O. Simeone

  • Cloud radio access network: Virtualizing wireless access for dense heterogeneous systems

    Osvaldo Simeone;Andreas Maeder;Mugen Peng;Onur Sahin

  • Robust and Efficient Distributed Compression for Cloud Radio Access Networks

    Seok-Hwan Park;O. Simeone;O. Sahin;S. Shamai

  • Joint optimization of cloud and edge processing for fog radio access networks

    Seok-Hwan Park;Osvaldo Simeone;Shlomo Shamai

Frequent Co-Authors

Shlomo Shamai
Shlomo Shamai Technion – Israel Institute of Technology
Umberto Spagnolini
Umberto Spagnolini Polytechnic University of Milan
Yeheskel Bar-Ness
Yeheskel Bar-Ness New Jersey Institute of Technology
Petar Popovski
Petar Popovski Aalborg University
Elza Erkip
Elza Erkip New York University
Alexander M. Haimovich
Alexander M. Haimovich New Jersey Institute of Technology
Wei Yu
Wei Yu University of Toronto
Mugen Peng
Mugen Peng Beijing University of Posts and Telecommunications
Ravi Tandon
Ravi Tandon University of Arizona
Tony Q. S. Quek
Tony Q. S. Quek Singapore University of Technology and Design

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