World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
56
Citations
11573
World Ranking
4110
National Ranking
1947

Research.com Recognitions

  • 2021 - IEEE Fellow For contributions to distributed optimization in signal processing and communications

Overview

Gesualdo Scutari is affiliated with Purdue University West Lafayette in the United States. Their work spans several areas within computer science and engineering, focusing on optimization and distributed systems.

The main fields of study associated with their research include:

  • Computer Science
  • Engineering

The subfields of study reflect specialized focuses in:

  • Computational Mechanics
  • Artificial Intelligence
  • Computer Networks and Communications
  • Numerical Analysis
  • Computational Theory and Mathematics

Key research topics covered in their work are:

  • Sparse and Compressive Sensing Techniques
  • Stochastic Gradient Optimization Techniques
  • Distributed Control Multi-Agent Systems
  • Advanced Optimization Algorithms Research
  • Energy Efficient Wireless Sensor Networks
  • Privacy-Preserving Technologies in Data
  • Optimization and Variational Analysis

Gesualdo Scutari has contributed to multiple publications, with frequent appearances in venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Automatic Control
  • SIAM Journal on Optimization
  • IRIS Research product catalog (Sapienza University of Rome)
  • IEEE Transactions on Information Theory

Recent papers authored by Scutari include:

  • "Achieving Linear Convergence in Distributed Asynchronous Multiagent Optimization" (2020), IEEE Transactions on Automatic Control
  • "Distributed Optimization Based on Gradient Tracking Revisited: Enhancing Convergence Rate via Surrogation" (2022), SIAM Journal on Optimization
  • "Distributed Algorithms for Composite Optimization: Unified Framework and Convergence Analysis" (2021), IEEE Transactions on Signal Processing
  • "Asynchronous parallel algorithms for nonconvex optimization" (2020), IRIS Research product catalog (Sapienza University of Rome)
  • "Finite-Bit Quantization for Distributed Algorithms With Linear Convergence" (2022), IEEE Transactions on Information Theory

Frequent collaborators in Scutari's research are:

  • Vyacheslav Kungurtsev
  • Francisco Facchinei
  • Lorenzo Lampariello
  • Alexander Gasnikov
  • Ying Sun

In 2021, Gesualdo Scutari was recognized as an IEEE Fellow for contributions to distributed optimization in signal processing and communications.

Best Publications

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

    Stefania Sardellitti;Gesualdo Scutari;Sergio Barbarossa

  • Demand-Side Management via Distributed Energy Generation and Storage Optimization

    I. Atzeni;L. G. Ordonez;G. Scutari;D. P. Palomar

  • NEXT: In-Network Nonconvex Optimization

    Paolo Di Lorenzo;Gesualdo Scutari

  • Convex Optimization, Game Theory, and Variational Inequality Theory

    Gesualdo Scutari;Daniel Palomar;Francisco Facchinei;Jong-shi Pang

  • Decomposition by Partial Linearization: Parallel Optimization of Multi-Agent Systems

    Gesualdo Scutari;Francisco Facchinei;Peiran Song;Daniel P. Palomar

  • 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

  • Parallel and Distributed Methods for Constrained Nonconvex Optimization—Part I: Theory

    Gesualdo Scutari;Francisco Facchinei;Lorenzo Lampariello

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

    G. Scutari;D. Palomar;S. Barbarossa

  • Design of Cognitive Radio Systems Under Temperature-Interference Constraints: A Variational Inequality Approach

    Jong-Shi Pang;Gesualdo Scutari;Daniel P Palomar;Francisco Facchinei

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

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

  • Distributed Power Allocation With Rate Constraints in Gaussian Parallel Interference Channels

    Jong-Shi Pang;G. Scutari;F. Facchinei;Chaoxiong Wang

  • Real and Complex Monotone Communication Games

    Gesualdo Scutari;Francisco Facchinei;Jong-Shi Pang;Daniel P. Palomar

  • 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

  • MIMO Cognitive Radio: A Game Theoretical Approach

    G. Scutari;D.P. Palomar

  • Optimal Linear Precoding Strategies for Wideband Non-Cooperative Systems Based on Game Theory—Part II: Algorithms

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

  • Distributed space-time coding for regenerative relay networks

    G. Scutari;S. Barbarossa

  • Cognitive MIMO Radio: A Competitive Optimality Design Based on Subspace Projections

    Gesualdo Scutari;Daniel P. Palomar;Sergio Barbarossa

  • Noncooperative and Cooperative Optimization of Distributed Energy Generation and Storage in the Demand-Side of the Smart Grid

    Italo Atzeni;Luis G. Ordonez;Gesualdo Scutari;Daniel P. Palomar

  • MIMO cognitive radio: A game theoretical approach

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

Frequent Co-Authors

Sergio Barbarossa
Sergio Barbarossa Sapienza University of Rome
Daniel P. Palomar
Daniel P. Palomar Hong Kong University of Science and Technology
Francisco Facchinei
Francisco Facchinei Sapienza University of Rome
Jong-Shi Pang
Jong-Shi Pang University of Southern California
Ananthram Swami
Ananthram Swami United States Army Research Laboratory
Osvaldo Simeone
Osvaldo Simeone Northeastern University
Tommaso Melodia
Tommaso Melodia Northeastern University
Brian M. Sadler
Brian M. Sadler United States Army Research Laboratory
Leslie Ying
Leslie Ying University at Buffalo, State University of New York
Jiaheng Wang
Jiaheng Wang Southeast University

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