CBAM: A Controller based Broadcast Storm Avoidance Mechanism in SDN based NDN-IoTs. - Asadullah Tariq; Rana Asif Rehman (ICACS, 2020)

Forwarding Strategies in NDN-Based Wireless Networks: A Survey. - Asadullah Tariq; Rana Asif Rehman; Byung-Seo Kim (IEEE Commun. Surv. Tutorials, 2020)

ECM-MAC: An Efficient Collision Mitigation Strategy in Contention Based MAC Protocol. - Mehwish Rasheed; Irfan Uddin; Muhammad Adnan 002; Asadullah Tariq; Sheheryar Malik; Ikram Syed (IEEE Access, 2021)

VTA-SMAC: Variable Traffic-Adaptive Duty Cycled Sensor MAC Protocol to Enhance Overall QoS of S-MAC Protocol. - Masood Ur Rehman 002; Irfan Uddin; Muhammad Adnan 002; Asadullah Tariq; Sheheryar Malik (IEEE Access, 2021)

A Novel Solution to Minimize the Interest Flooding and to Improve the Content-Store Performance for NDN-Based Wireless Sensor Networks. - Muhammad Mudasir Qazi; Rana Asif Rehman; Asadullah Tariq; Byung-Seo Kim (IEICE Trans. Inf. Syst., 2021)

Integrating Cyber-Physical System with Federated-Edge Computing for Diabetes Detection and Management. - Heba M. Khater; Asadullah Tariq; Farag M. Sallabi; Mohamed Adel Serhani; Ezedin Barka (BDSIC, 2023)

A Secure and Scalable Peer-to-Peer Federated Learning Approach for Handling Veracity in Big Data. - Maria Iqbal; Asadullah Tariq; Mohamed Adel Serhani (DASC/PiCom/CBDCom/CyberSciTech, 2023)

Empowering Trustworthy Client Selection in Edge Federated Learning Leveraging Reinforcement Learning. - Asadullah Tariq; Abderrahmane Lakas; Farag M. Sallabi; Tariq Qayyum; Mohamed Adel Serhani; Ezedin Barka (SEC, 2023)

Federated-Edge Computing Based Cyber-Physical Systems Framework for Enhanced Diabetes Management. - Heba M. Khater; Asadullah Tariq; Farag M. Sallabi; Mohamed Adel Serhani; Ezedin Barka (IIT, 2023)

FL-ODP: An Optimized Differential Privacy Enabled Privacy Preserving Federated Learning. - Maria Iqbal; Asadullah Tariq; Muhammad Adnan 002; Irfan Uddin; Tariq Qayyum (IEEE Access, 2023)

Trustworthy Federated Learning: A Survey. - Asadullah Tariq; Mohamed Adel Serhani; Farag M. Sallabi; Tariq Qayyum; Ezedin Salem Barka; Khaled A. Shuaib (CoRR, 2023)

Dynamic Data Sample Selection and Scheduling in Edge Federated Learning. - Mohamed Adel Serhani; Haftay Gebreslasie Abreha; Asadullah Tariq; Mohammad Hayajneh 001; Yang Xu 010; Kadhim Hayawi (IEEE Open J. Commun. Soc., 2023)

A Trust and Data Quality-Based Dynamic Node Selection and Aggregation Optimization in Federated Learning. - Asadullah Tariq; Farag M. Sallabi; Mohamed Adel Serhani; Ezedin Barka (IWCMC, 2024)

Quantum Federated Learning: Bridging Quantum Computing and Distributed AI. - Tariq Qayyum; M. Waqas Haseeb Khan; Asadullah Tariq; Mohamed Adel Serhani; Farag M. Sallabi; Zouheir Trabelsi; Ikbal Taleb (UCC, 2024)

Empowering Healthcare With Cyber-Physical System - A Systematic Literature Review. - Heba M. Khater; Farag M. Sallabi; Mohamed Adel Serhani; Ezedin Barka; Khaled Shuaib; Asadullah Tariq; Mohamad Khayat (IEEE Access, 2024)

Trustworthy Federated Learning: A Comprehensive Review, Architecture, Key Challenges, and Future Research Prospects. - Asadullah Tariq; Mohamed Adel Serhani; Farag M. Sallabi; Ezedin Salem Barka; Tariq Qayyum; Heba M. Khater; Khaled A. Shuaib (IEEE Open J. Commun. Soc., 2024)

Deep Learning-Based Task Offloading for Efficient and Reliable Computation in High-Mobility Vehicular Networks. - Muhammad Ali; Usman Nazir; Mubashar Mushtaq; Faizad Ullah; Tariq Qayyam; Asadullah Tariq; Mohamed Adel Serhani; Irfanud Din (IWCMC, 2025)

Intelligent Task Offloading in VANETs: A Hybrid AI-Driven Approach for Low-Latency and Energy Efficiency. - Tariq Qayyum; Asadullah Tariq; Muhammad Ali; Mohamed Adel Serhani; Zouheir Trabelsi; Maite López-Sánchez (IWCMC, 2025)

Meta-XPFL: An Explainable and Personalized Federated Meta-Learning Framework for Privacy-Aware IoMT. - Mohamed Adel Serhani; Asadullah Tariq; Tariq Qayyum; Ikbal Taleb; Irfanud Din; Zouheir Trabelsi (IEEE Internet Things J., 2025)

Blockchain and Distributed Ledger Technologies for Cyberthreat Intelligence Sharing. - Asadullah Tariq; Tariq Qayyum; Saed Alrabaee; Mohamed Adel Serhani (CoRR, 2025)

DHFL: Decentralized Hierarchical Federated Learning With Dynamic Global Aggregation for Privacy-Aware Fog Computing. - Tariq Qayyum; Zouheir Trabelsi; Asad Waqar Malik; Asadullah Tariq; Irfanud Din (IEEE Trans. Consumer Electron., 2025)

Leveraging Game Theory and XAI for Data Quality-Driven Sample and Client Selection in Trustworthy Split Federated Learning. - Asadullah Tariq; Farag M. Sallabi; Mohamed Adel Serhani; Tariq Qayyum; Ezedin Salem Barka (IEEE Trans. Consumer Electron., 2025)

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models. - Khizar Anjum; Muhammad Arbab Arshad; Kadhim Hayawi; Efstathios Polyzos; Asadullah Tariq; Mohamed Adel Serhani; Laiba Batool; Brady D. Lund; Nishith Reddy Mannuru; Ravi Varma Kumar Bevara; Taslim Mahbub; Muhammad Zeeshan Akram; et al. (CoRR, 2025)