World's Best Scientists 2026 revealed!

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Computer Science

D-Index
72
Citations
20180
World Ranking
1682
National Ranking
92

Electronics and Electrical Engineering

D-Index
71
Citations
19421
World Ranking
867
National Ranking
41

Overview

Deniz Gunduz is affiliated with Imperial College London in the United Kingdom. Their research primarily spans the fields of Computer Science and Engineering, with substantial contributions in subfields such as Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition, and Computational Mechanics.

The main topics addressed in their work include Privacy-Preserving Technologies in Data, Wireless Communication Security Techniques, Stochastic Gradient Optimization Techniques, Advanced MIMO Systems Optimization, Cooperative Communication and Network Coding, Distributed Sensor Networks and Detection Algorithms, and Wireless Signal Modulation Classification.

The following are some recent papers authored by Deniz Gunduz, including the year of publication and the venues where they appeared:

  • "Federated learning over wireless fading channels," 2020, IRIS UNIMORE (University of Modena and Reggio Emilia)
  • "Machine Learning at the Wireless Edge: Distributed Stochastic Gradient Descent Over-the-Air," 2020, IEEE Transactions on Signal Processing
  • "Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications," 2022, IEEE Journal on Selected Areas in Communications
  • "Distributed Learning in Wireless Networks: Recent Progress and Future Challenges," 2021, IEEE Journal on Selected Areas in Communications
  • "Hierarchical federated learning across heterogeneous cellular networks," 2020, IRIS UNIMORE (University of Modena and Reggio Emilia)

Frequent co-authors collaborating with Gunduz include Emre Özfatura, Yulin Shao, H. Vincent Poor, Andrea Goldsmith, and Tze-Yang Tung.

The scientist's publications have appeared in venues such as:

  • arXiv (Cornell University)
  • IRIS UNIMORE (University of Modena and Reggio Emilia)
  • IEEE Journal on Selected Areas in Communications
  • IEEE Transactions on Wireless Communications
  • IEEE Journal on Selected Areas in Information Theory

Best Publications

  • Deep Joint Source-channel Coding for Wireless Image Transmission

    Eirina Bourtsoulatze;David Burth Kurka;Deniz Gunduz

  • Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications

    Unknown

  • Machine Learning at the Wireless Edge: Distributed Stochastic Gradient Descent Over-the-Air

    Mohammad Mohammadi Amiri;Deniz Gunduz

  • Federated Learning Over Wireless Fading Channels

    Mohammad Mohammadi Amiri;Deniz Gunduz

  • The Multiway Relay Channel

    D. Gunduz;A. Yener;A. Goldsmith;H. V. Poor

  • Distributed Learning in Wireless Networks: Recent Progress and Future Challenges

    Mingzhe Chen;Deniz Gunduz;Kaibin Huang;Walid Saad

  • Hierarchical Federated Learning ACROSS Heterogeneous Cellular Networks

    M. S. H. Abad;E. Ozfatura;D. GUndUz;O. Ercetin

  • One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning: Design and Convergence Analysis

    Guangxu Zhu;Yuqing Du;Deniz Gunduz;Kaibin Huang

  • Designing intelligent energy harvesting communication systems

    Deniz Gunduz;Kostas Stamatiou;Nicolo Michelusi;Michele Zorzi

  • Learning-based optimization of cache content in a small cell base station

    Pol Blasco;Deniz Gündüz

  • DeepJSCC- f : Deep Joint Source-Channel Coding of Images With Feedback

    David Burth Kurka;Deniz Gunduz

  • A Learning Theoretic Approach to Energy Harvesting Communication System Optimization

    Pol Blasco;Deniz Gunduz;Mischa Dohler

  • Average Age of Information With Hybrid ARQ Under a Resource Constraint

    Elif Tugce Ceran;Deniz Gunduz;Andras Gyorgy

  • Opportunistic cooperation by dynamic resource allocation

    D. Gunduz;E. Erkip

  • Wireless Content Caching for Small Cell and D2D Networks

    Maria Gregori;Jesus Gomez-Vilardebo;Javier Matamoros;Deniz Gunduz

  • A general framework for the optimization of energy harvesting communication systems with battery imperfections

    B. Devillers;D. Gunduz

  • The multi-way relay channel

    Deniz Gunduz;Aylin Yener;Andrea Goldsmith;H. Vincent Poor

  • Wireless Image Retrieval at the Edge

    Mikolaj Jankowski;Deniz Gunduz;Krystian Mikolajczyk

  • Convergence of Update Aware Device Scheduling for Federated Learning at the Wireless Edge

    Mohammad Mohammadi Amiri;Deniz Gunduz;Sanjeev R. Kulkarni;H. Vincent Poor

  • Two-hop communication with energy harvesting

    Deniz Gunduz;Bertrand Devillers

  • Machine Learning in the Air

    Deniz Gunduz;Paul de Kerret;Nicholas D. Sidiropoulos;David Gesbert

  • Increasing Smart Meter Privacy Through Energy Harvesting and Storage Devices

    O. Tan;D. Gunduz;H. V. Poor

Frequent Co-Authors

Elza Erkip
Elza Erkip New York University
Andrea Goldsmith
Andrea Goldsmith Stony Brook University
H. Vincent Poor
H. Vincent Poor Princeton University
Osvaldo Simeone
Osvaldo Simeone Northeastern University
András György
András György New York University Abu Dhabi
Sennur Ulukus
Sennur Ulukus University of Maryland, College Park
Sanjeev R. Kulkarni
Sanjeev R. Kulkarni Princeton University
Eric C. Kerrigan
Eric C. Kerrigan Imperial College London
Aylin Yener
Aylin Yener The Ohio State University

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