David Gesbert

David Gesbert

Eurecom

H-index: 70

Europe-France

About David Gesbert

David Gesbert, With an exceptional h-index of 70 and a recent h-index of 37 (since 2020), a distinguished researcher at Eurecom, specializes in the field of Communications, signal processing, information theory, machine learning, Unmanned Aerial Vehicles.

His recent articles reflect a diverse array of research interests and contributions to the field:

A tutorial on environment-aware communications via channel knowledge map for 6G

Coordinated Machine Learning for Energy Efficient D2D Communication

Optimization of Placement and Resource Allocation in UAV-Aided Multi-Hop Wireless Networks

Channel Reuse for Backhaul in UAV Mobile Networks with User QoS Guarantee

Robust Bayesian learning for reliable wireless AI: Framework and applications

Machine Learning-Based Channel Quality Prediction in 6G Mobile Networks

UAV Trajectory Optimization and Tracking for User Localization in Wireless Networks

Robust PAC: Training Ensemble Models Under Misspecification and Outliers

David Gesbert Information

University

Position

Professor of Electrical Engineering

Citations(all)

30001

Citations(since 2020)

6343

Cited By

26266

hIndex(all)

70

hIndex(since 2020)

37

i10Index(all)

251

i10Index(since 2020)

103

Email

University Profile Page

Eurecom

Google Scholar

View Google Scholar Profile

David Gesbert Skills & Research Interests

Communications

signal processing

information theory

machine learning

Unmanned Aerial Vehicles

Top articles of David Gesbert

Title

Journal

Author(s)

Publication Date

A tutorial on environment-aware communications via channel knowledge map for 6G

Yong Zeng

Junting Chen

Jie Xu

Di Wu

Xiaoli Xu

...

2024/2/9

Coordinated Machine Learning for Energy Efficient D2D Communication

IEEE Wireless Communications Letters

Ishtiaq Ahmad

Zdenek Becvar

Pavel Mach

David Gesbert

2024/3/14

Optimization of Placement and Resource Allocation in UAV-Aided Multi-Hop Wireless Networks

IEEE Internet of Things Journal

Mohammadsaleh Nikooroo

Omid Esrafilian

Zdenek Becvar

David Gesbert

2024/2/23

Channel Reuse for Backhaul in UAV Mobile Networks with User QoS Guarantee

Mohammadsaleh Nikooroo

Zdenek Becvar

Omid Esrafilian

David Gesbert

2023/5/28

Robust Bayesian learning for reliable wireless AI: Framework and applications

IEEE Transactions on Cognitive Communications and Networking

Matteo Zecchin

Sangwoo Park

Osvaldo Simeone

Marios Kountouris

David Gesbert

2023/3/24

Machine Learning-Based Channel Quality Prediction in 6G Mobile Networks

IEEE Communications Magazine

Zdenek Becvar

David Gesbert

Pavel Mach

Mehyar Najla

2023/7/24

UAV Trajectory Optimization and Tracking for User Localization in Wireless Networks

arXiv preprint arXiv:2305.14959

Omid Esrafilian

Rajeev Gangula

David Gesbert

2023/5/24

Robust PAC: Training Ensemble Models Under Misspecification and Outliers

IEEE Transactions on Neural Networks and Learning Systems

Matteo Zecchin

Sangwoo Park

Osvaldo Simeone

Marios Kountouris

David Gesbert

2023/7/24

Localization in Wideband SIMO Channels Using Pulse Shape

Rajeev Gangula

Omid Esrafilian

David Gesbert

Tommaso Melodia

2023/10/29

Revisiting Matching Pursuit: Beyond Approximate Submodularity

arXiv preprint arXiv:2305.07782

Ehsan Tohidi

Mario Coutino

David Gesbert

2023/5/12

Model-aided Federated Reinforcement Learning for Multi-UAV Trajectory Planning in IoT Networks

arXiv preprint arXiv:2306.02029

Jichao Chen

Omid Esrafilian

Harald Bayerlein

David Gesbert

Marco Caccamo

2023/6/3

User-centric federated learning: Trading off wireless resources for personalization

IEEE Transactions on Machine Learning in Communications and Networking

Mohamad Mestoukirdi

Matteo Zecchin

David Gesbert

Qianrui Li

2023/10/17

Integrated Access and Backhaul in 5G with Aerial Distributed Unit using OpenAirInterface

arXiv preprint arXiv:2305.05983

Rakesh Mundlamuri

Omid Esrafilian

Rajeev Gangula

Rohan Kharade

Cedric Roux

...

2023/5/10

UAV-Aided Network Localization Using Radio Phase Measurements

Omid Esrafilian

Rajeev Gangula

David Gesbert

2023/5/28

Cost-Efficient Vehicular Crowdsensing Based on Implicit Relation Aware Graph Attention Networks

IEEE Transactions on Industrial Informatics

Jie Huo

Luhan Wang

Xiangming Wen

David Gesbert

Zhaoming Lu

2023/9/20

A novel metric for mMIMO base station association for aerial highway systems

Matteo Bernabè

David López-Pérez

Nicola Piovesan

Giovanni Geraci

David Gesbert

2023/5/28

Some power allocation algorithms for cognitive uplink satellite systems

EURASIP Journal on Wireless Communications and Networking

Arthur Louchart

Ehsan Tohidi

Philippe Ciblat

David Gesbert

Eva Lagunas

...

2023/4/6

Sparser Random Networks Exist: Enforcing Communication-Efficient Federated Learning via Regularization

arXiv preprint arXiv:2309.10834

Mohamad Mestoukirdi

Omid Esrafilian

David Gesbert

Qianrui Li

Nicolas Gresset

2023/9/19

LIDAR and position-aided mmWave beam selection with non-local CNNs and curriculum training

IEEE Transactions on Vehicular Technology

Matteo Zecchin

Mahdi Boloursaz Mashhadi

Mikolaj Jankowski

Deniz Gündüz

Marios Kountouris

...

2022/1/13

Enforcing statistical orthogonality in massive MIMO systems via covariance shaping

IEEE Transactions on Wireless Communications

Placido Mursia

Italo Atzeni

Laura Cottatellucci

David Gesbert

2022/4/8

See List of Professors in David Gesbert University(Eurecom)

Co-Authors

H-index: 146
Robert Heath

Robert Heath

North Carolina State University

H-index: 126
Prof. Mohamed-Slim Alouini

Prof. Mohamed-Slim Alouini

King Abdullah University of Science and Technology

H-index: 87
Shlomo Shamai (Shitz)

Shlomo Shamai (Shitz)

Technion - Israel Institute of Technology

H-index: 63
Osvaldo Simeone

Osvaldo Simeone

King's College London

H-index: 58
Chan-Byoung Chae

Chan-Byoung Chae

Yonsei University

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