Jamal Bentahar

Jamal Bentahar

Concordia University

H-index: 39

North America-Canada

About Jamal Bentahar

Jamal Bentahar, With an exceptional h-index of 39 and a recent h-index of 26 (since 2020), a distinguished researcher at Concordia University, specializes in the field of Deep Reinforcement Learning, Federated Learning, Multi-Agent Systems, Verification, Services Computing and IoT.

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

MV-Checker: A software tool for multi-valued model checking intelligent applications with trust and commitment

Multi-valued model checking IoT and intelligent systems with commitment protocols in multi-source data environments

Model checking combined trust and commitments in Multi-Agent Systems

LearnChain: Transparent and cooperative reinforcement learning on Blockchain

Trust Driven On-Demand Scheme for Client Deployment in Federated Learning

Enhancing IoT Intelligence: A Transformer-based Reinforcement Learning Methodology

Trust-driven reinforcement selection strategy for federated learning on IoT devices

Corrigendum to “Transformation-based model checking temporal trust in multi-agent systems”[Journal of Systems and Software Volume 192, October 2022, 111383]

Jamal Bentahar Information

University

Position

___

Citations(all)

5062

Citations(since 2020)

2646

Cited By

3267

hIndex(all)

39

hIndex(since 2020)

26

i10Index(all)

136

i10Index(since 2020)

80

Email

University Profile Page

Concordia University

Google Scholar

View Google Scholar Profile

Jamal Bentahar Skills & Research Interests

Deep Reinforcement Learning

Federated Learning

Multi-Agent Systems

Verification

Services Computing and IoT

Top articles of Jamal Bentahar

Title

Journal

Author(s)

Publication Date

MV-Checker: A software tool for multi-valued model checking intelligent applications with trust and commitment

Expert Systems with Applications

Ghalya Alwhishi

Jamal Bentahar

Ahmed Elwhishi

Witold Pedrycz

2024/7/1

Multi-valued model checking IoT and intelligent systems with commitment protocols in multi-source data environments

Information Fusion

Ghalya Alwhishi

Jamal Bentahar

Ahmed Elwhishi

Witold Pedrycz

Nagat Drawel

2024/2/1

Model checking combined trust and commitments in Multi-Agent Systems

Expert Systems with Applications

Narges Baharloo

Jamal Bentahar

Nagat Drawel

Witold Pedrycz

2024/6/1

LearnChain: Transparent and cooperative reinforcement learning on Blockchain

Future Generation Computer Systems

Hani Sami

Rabeb Mizouni

Hadi Otrok

Shakti Singh

Jamal Bentahar

...

2024/1/1

Trust Driven On-Demand Scheme for Client Deployment in Federated Learning

arXiv preprint arXiv:2405.00395

Mario Chahoud

Azzam Mourad

Hadi Otrok

Jamal Bentahar

Mohsen Guizani

2024/5/1

Enhancing IoT Intelligence: A Transformer-based Reinforcement Learning Methodology

arXiv preprint arXiv:2404.04205

Gaith Rjoub

Saidul Islam

Jamal Bentahar

Mohammed Amin Almaiah

Rana Alrawashdeh

2024/4/5

Trust-driven reinforcement selection strategy for federated learning on IoT devices

Computing

Gaith Rjoub

Omar Abdel Wahab

Jamal Bentahar

Ahmed Bataineh

2022/4/1

Corrigendum to “Transformation-based model checking temporal trust in multi-agent systems”[Journal of Systems and Software Volume 192, October 2022, 111383]

Journal of Systems and Software

Nagat Drawel

Amine Laarej

Jamal Bentahar

Mohamed El Menshawy

2024/7/1

Verifying trust over IoT-ad hoc network-based applications under uncertainty

Ad Hoc Networks

Narges Baharloo

Jamal Bentahar

Ghalya Alwhishi

Nagat Drawel

Witold Pedrycz

2024/3/1

A reinforcement learning model for the reliability of blockchain oracles

Expert Systems with Applications

Mona Taghavi

Jamal Bentahar

Hadi Otrok

Kaveh Bakhtiyari

2023/3/15

A survey on explainable artificial intelligence for cybersecurity

IEEE Transactions on Network and Service Management

Gaith Rjoub

Jamal Bentahar

Omar Abdel Wahab

Rabeb Mizouni

Alyssa Song

...

2023/6/5

Granular Traceability Between Requirements and Test Cases for Safety-Critical Software Systems

Mounia Elqortobi

Amine Rahj

Jamal Bentahar

2023/8/3

Deep reinforcement learning for the computation offloading in MIMO-based Edge Computing

Ad Hoc Networks

Abdeladim Sadiki

Jamal Bentahar

Rachida Dssouli

Abdeslam En-Nouaary

Hadi Otrok

2023/3/15

Data sources and approaches for building occupancy profiles at the urban scale–A review

Shayan Nejadshamsi

Ursula Eicker

Chun Wang

Jamal Bentahar

2023/4/29

Guest Editorial: Special Section on the Latest Developments in Federated Learning for the Management of Networked Systems and Resources

IEEE Transactions on Network and Service Management

Azzam Mourad

Hadi Otrok

Ernesto Damiani

Merouane Debbah

Nadra Guizani

...

2023/6/29

Detonation cell size prediction based on artificial neural networks with chemical kinetics and thermodynamic parameters

Fuel Communications

Georgios Bakalis

Maryam Valipour

Jamal Bentahar

Lyes Kadem

Honghui Teng

...

2023/3/1

The metaverse: Survey, trends, novel pipeline ecosystem & future directions

arXiv preprint arXiv:2304.09240

Hani Sami

Ahmad Hammoud

Mouhamad Arafeh

Mohamad Wazzeh

Sarhad Arisdakessian

...

2023/4/18

Towards On-Demand Deployment of Multiple Clients and Heterogeneous Models in Federated Learning

Mario Chahoud

Hani Sami

Azzam Mourad

Hadi Otrok

Jamal Bentahar

...

2023/6/19

A comprehensive survey on applications of transformers for deep learning tasks

Saidul Islam

Hanae Elmekki

Ahmed Elsebai

Jamal Bentahar

Nagat Drawel

...

2023/11/23

Opportunistic uav deployment for intelligent on-demand iov service management

IEEE Transactions on Network and Service Management

Hani Sami

Reem Saado

Ahmad El Saoudi

Azzam Mourad

Hadi Otrok

...

2023/2/3

See List of Professors in Jamal Bentahar University(Concordia University)