Adlen KSENTINI

Adlen KSENTINI

Eurecom

H-index: 51

Europe-France

About Adlen KSENTINI

Adlen KSENTINI, With an exceptional h-index of 51 and a recent h-index of 40 (since 2020), a distinguished researcher at Eurecom, specializes in the field of Network protocols/architecture, performance evaluation.

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

Machine Reasoning in FCAPS: Towards Enhanced Beyond 5G Network Management

Cost-efficient RAN slicing for service provisioning in 5G/B5G

On the benefits and caveats of exploiting Quality on Demand Network APIs for video streaming

Resource Demand Prediction for Network Slices in 5G using ML Enhanced with Network Models

Case study of WebAssembly Runtimes for AI Applications on the Edge

Securing IIoT applications in 6G and beyond using adaptive ensemble learning and zero-touch multi-resource provisioning

On Demand Bandwidth Boost: Improving video streaming over cellular networks with Network APIs

Split Federated Learning for 6G Enabled-Networks: Requirements, Challenges and Future Directions

Adlen KSENTINI Information

University

Position

Professor

Citations(all)

11652

Citations(since 2020)

7305

Cited By

7355

hIndex(all)

51

hIndex(since 2020)

40

i10Index(all)

159

i10Index(since 2020)

116

Email

University Profile Page

Google Scholar

Adlen KSENTINI Skills & Research Interests

Network protocols/architecture

performance evaluation

Top articles of Adlen KSENTINI

Machine Reasoning in FCAPS: Towards Enhanced Beyond 5G Network Management

2024/4/30

Adlen Ksentini
Adlen Ksentini

H-Index: 38

Cost-efficient RAN slicing for service provisioning in 5G/B5G

Computer Communications

2024/4/23

On the benefits and caveats of exploiting Quality on Demand Network APIs for video streaming

2024/4/15

Resource Demand Prediction for Network Slices in 5G using ML Enhanced with Network Models

IEEE Transactions on Vehicular Technology

2024/3/11

Anestis Dalgkitsis
Anestis Dalgkitsis

H-Index: 2

Adlen Ksentini
Adlen Ksentini

H-Index: 38

Case study of WebAssembly Runtimes for AI Applications on the Edge

2024/2/19

Adlen Ksentini
Adlen Ksentini

H-Index: 38

Securing IIoT applications in 6G and beyond using adaptive ensemble learning and zero-touch multi-resource provisioning

Computer Communications

2024/2/15

Zakaria Abou El Houda
Zakaria Abou El Houda

H-Index: 4

Adlen Ksentini
Adlen Ksentini

H-Index: 38

On Demand Bandwidth Boost: Improving video streaming over cellular networks with Network APIs

2024/2/11

Split Federated Learning for 6G Enabled-Networks: Requirements, Challenges and Future Directions

IEEE Access

2024/1/9

Adlen Ksentini
Adlen Ksentini

H-Index: 38

Cloud native Lightweight Slice Orchestration (CLiSO) framework

Computer Communications

2024/1/1

6G-BRICKS: Building Reusable Testbed Infrastructures for Cloud-to-Device Breakthrough Technologies

2023/12/4

Federated Deep Reinforcement Learning-Based Task Offloading System in Edge Computing Environment

2023/12/4

Adlen Ksentini
Adlen Ksentini

H-Index: 38

Abdenour Sehad
Abdenour Sehad

H-Index: 4

GNN-Based SDN Admission Control in Beyond 5G Networks

2023/12/4

Adlen Ksentini
Adlen Ksentini

H-Index: 38

Christian Bonnet
Christian Bonnet

H-Index: 32

Combining Network Data Analytics Function and Machine Learning for Abnormal Traffic Detection in Beyond 5G

2023/12/4

Adlen Ksentini
Adlen Ksentini

H-Index: 38

Optimal radio resource management in 5G NR featuring network slicing

Computer Networks

2023/10/1

Adlen Ksentini
Adlen Ksentini

H-Index: 38

Multi-Agent Deep Reinforcement Learning to enable dynamic TDD in a multi-cell environment

IEEE Transactions on Mobile Computing

2023/9/15

Adlen Ksentini
Adlen Ksentini

H-Index: 38

Admission Control with Resource Efficiency Using Reinforcement Learning in Beyond-5G Networks

2023/9/5

Anestis Dalgkitsis
Anestis Dalgkitsis

H-Index: 2

Adlen Ksentini
Adlen Ksentini

H-Index: 38

Cost-efficient slicing in virtual Radio Access Networks

Computer Communications

2023/9/1

Dynamic Drift-Adaptive Ensemble-Based Quality of Transmission Classification Framework in OTN

2023/7/2

A survey on explainable AI for 6G O-RAN: Architecture, use cases, challenges and research directions

2023/7/1

Adlen Ksentini
Adlen Ksentini

H-Index: 38

XAI-Enabled Fine Granular Vertical Resources Autoscaler

2023/6/19

Adlen Ksentini
Adlen Ksentini

H-Index: 38

See List of Professors in Adlen KSENTINI University(Eurecom)

Co-Authors

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