RESEARCHER PROFILE
Jamal Bentahar
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Concordia University
Jamal Bentahar works in Multi-Agent Systems and Negotiation, Access Control and Trust, Logic, Reasoning, and Knowledge, Formal Methods in Verification, Service-Oriented Architecture and Web Services. Recorded institutional associations include Khalifa University of Science and Technology, Concordia University.
343Publications
6,184Citations
39H-index
Inclusion identifies researchers whose recorded research contributions may inform their university’s understanding of its research community. It does not rank individual research quality or establish current employment.
Selected research works
Up to 100 highly cited works; DOI links open the original research. Counts reflect the collected record, not real-time citation totals.
A comprehensive survey on applications of transformers for deep learning tasks
2023 · 487 citationsDeep and reinforcement learning for automated task scheduling in large‐scale cloud computing systems
2020 · 155 citationsA Survey on Explainable Artificial Intelligence for Cybersecurity
2023 · 155 citationsAI, Blockchain, and Vehicular Edge Computing for Smart and Secure IoV: Challenges and Directions
2020 · 152 citationsFederated against the cold: A trust-based federated learning approach to counter the cold start problem in recommendation systems
2022 · 130 citationsA survey on trust and reputation models for Web services: Single, composite, and communities
2015 · 122 citationsOptimal Load Distribution for the Detection of VM-Based DDoS Attacks in the Cloud
2017 · 121 citationsCEAP: SVM-based intelligent detection model for clustered vehicular ad hoc networks
2015 · 118 citationsAI-Based Resource Provisioning of IoE Services in 6G: A Deep Reinforcement Learning Approach
2021 · 115 citationsTowards Trustworthy Multi-Cloud Services Communities: A Trust-Based Hedonic Coalitional Game
2016 · 111 citationsA taxonomy of argumentation models used for knowledge representation
2010 · 101 citationsDemand-Driven Deep Reinforcement Learning for Scalable Fog and Service Placement
2021 · 99 citationsBigTrustScheduling: Trust-aware big data task scheduling approach in cloud computing environments
2019 · 97 citationsA Survey on Large Language Models for Communication, Network, and Service Management: Application Insights, Challenges, and Future Directions
2025 · 95 citationsA Crowd-Sensing Framework for Allocation of Time-Constrained and Location-Based Tasks
2017 · 89 citationsTrust-driven reinforcement selection strategy for federated learning on IoT devices
2022 · 88 citationsResource-Aware Detection and Defense System against Multi-Type Attacks in the Cloud: Repeated Bayesian Stackelberg Game
2019 · 79 citationsTarget localization using Multi-Agent Deep Reinforcement Learning with Proximal Policy Optimization
2022 · 72 citationsTrust-Augmented Deep Reinforcement Learning for Federated Learning Client Selection
2022 · 70 citationsCRM: An efficient trust and reputation model for agent computing
2011 · 68 citationsAn Argumentation Framework for Communities of Web Services
2007 · 60 citationsAn Approach to Engineer Communities of Web Services
2009 · 57 citationsThe Metaverse: Survey, Trends, Novel Pipeline Ecosystem & Future Directions
2024 · 57 citationsMonetizing Personal Data: A Two-Sided Market Approach
2016 · 49 citationsSymbolic model checking composite Web services using operational and control behaviors
2012 · 48 citations