TARIQ ASADULLAH HUSSAIN

Asadullah Tariq is a computer scientist and researcher specializing in Trustworthy and Explainable Artificial Intelligence, Federated Learning, Distributed Computing, Internet of Things, Quantum Machine Learning, and AI-driven communication networks.

His research focuses on developing secure, efficient, privacy-aware, and trustworthy AI systems for distributed and resource-constrained environments. His work particularly explores the integration of machine learning and federated learning with network and wireless communication, as well as emerging applications of quantum computing, digital twins, game theory, and optimization.

He has an interdisciplinary academic background combining computer science, artificial intelligence, networking, machine learning, and quantitative computational methods. His research has resulted in publications in leading IEEE, ACM, Elsevier, Springer Nature, and other international venues.

Ph.D. in Computing and Informatics — United Arab Emirates University, UAE (2022–2025)

Dissertation: Trustworthy Federated Learning Framework for Secure, Efficient, and Quality-Aware Distributed AI

M.S. in Computer Science — National University of Computer and Emerging Sciences (FAST-NUCES), Pakistan (2016–2019)

Thesis: Energy Efficient Priority Based Forwarding in SDN Enabled Named Data Internet of Things

B.S. in Computer Science — PUCIT, University of the Punjab, Pakistan (2011–2015)

Final-Year Capstone Project: Vision-Based Super-Resolution for Videos

Canadian University Dubai, UAE — Visiting Assistant Professor, Computer Science (2026–present)

1. Undergraduate teaching: Cloud Architecture, Computer Architecture, and Web Application Development.

United Arab Emirates University, UAE — Adjunct Instructor (2023–2026)

1. Undergraduate teaching: Data Structures and Algorithms, Analysis of Algorithms, and Object-Oriented Programming.

The Superior University, Pakistan — Lecturer, Computer Science (2019–2022)

1. Undergraduate teaching: Data Structures and Algorithms, Analysis of Algorithms, Object-Oriented Programming, Computer Architecture, and Web Application Development.
2. Supervision: 20+ senior final-year capstone projects and 3 Master's research theses.
3. Student mentoring: Advised the Computer Science Department Club, supporting programming competitions, hackathons, and student events.

The Superior University, Pakistan — Junior Lecturer / Lab Instructor, Computer Science (2018–2019)

1. Laboratory teaching: Data Structures and Algorithms, Object-Oriented Programming, Computer Architecture and Assembly Language, Web Application Development, and Operating Systems.

Tariq, A., Rehman, R. A. & Kim, B.-S. Forwarding Strategies in NDN-Based Wireless Networks: A Survey. IEEE Communications Surveys & Tutorials (2020).

Tariq, A., Serhani, M. A., Sallabi, F. M., et al. Trustworthy Federated Learning: A Comprehensive Review, Challenges, and Future Research Prospects. IEEE Open Journal of the Communications Society (2024).

Tariq, A., Sallabi, F. M., Serhani, M. A., et al. Leveraging Game Theory and XAI for Data Quality-Driven Sample and Client Selection in Trustworthy Split Federated Learning. IEEE Transactions on Consumer Electronics (2025).

Serhani, M. A., Tariq, A., Qayyum, T., Taleb, I., Din, I. U. & Trabelsi, Z. Meta-XPFL: An Explainable and Personalized Federated Meta-Learning Framework for Privacy-Aware IoMT. IEEE Internet of Things Journal (2025).

Unnisa, Z., Tariq, A., Din, I. U. & Belkacem, A. N. On Harnessing EEG Signals for the Comprehensive Assessment of Neurological Disorders: A Review. IEEE Transactions on Cognitive and Developmental Systems (2025).

Tariq, A., Sallabi, F., Serhani, M. A., et al. AI-Driven Lightweight and Trustworthy FL Framework for Decision-Making in Resource-Constrained Consumer Edge-IoT. IEEE Transactions on Consumer Electronics (2026).

Serhani, M. A., Abreha, H. G., Tariq, A., Hayajneh, M., Xu, Y. & Hayawi, K. Dynamic Data Sample Selection and Scheduling in Edge Federated Learning. IEEE Open Journal of the Communications Society (2023).

Tariq, Q., Trabelsi, Z., Tariq, A., Serhani, M. A., et al. A Quantum Resilient Sharded Blockchain Framework for Secure V2X and FL in Intelligent Transport Systems. IEEE Transactions on Intelligent Transportation Systems (2025).

Tariq, Q., Trabelsi, Z., Tariq, A., et al. DHFL: Decentralized Hierarchical Federated Learning with Dynamic Global Aggregation for Privacy-Aware Fog Computing. IEEE Transactions on Consumer Electronics (2025).

Trabelsi, Z., Ali, M., Qayyum, T. & Tariq, A. Dynamic Task Offloading in Vehicular Networks Using Large Language Models for Adaptive Low-Latency Decision Making. Scientific Reports (2025).

Taleb, I., Tariq, A., Serhani, M. A., Din, I. U., et al. PP-FedDT: Securing Digital Twin Federated Learning Against Persistent and Adaptive Poisoning Attacks. IEEE Transactions on Consumer Electronics (accepted, 2025).

Tariq, A., Serhani, M. A., Taleb, I., Qayyum, T. & Din, I. U. AoI-Aware Agentic Federated Mixture-of-Digital-Twin Experts for 6G Vehicular Edge Intelligence. IEEE Open Journal of the Communications Society (accepted, 2025).

Unnisa, Z., Tariq, A., et al. Impact of Fine-Tuning Parameters of Convolutional Neural Network for Skin Cancer Detection. Scientific Reports (2025).

Iqbal, M., Tariq, A., Adnan, M., Din, I. & Qayyum, T. FL-ODP: An Optimized Differential Privacy Enabled Privacy Preserving Federated Learning. IEEE Access (2024).

Tariq, A., Rehman, R. A. & Kim, B.-S. EPF—An Efficient Forwarding Mechanism in SDN Controller Enabled Named Data IoTs. Applied Sciences (2020).

Tariq, A., Din, I. U., Rehman, R. A. & Kim, B. An Intelligent Forwarding Strategy in SDN Enabled Named Data IoV. Computer Materials & Continua (2021).

Khater, H. M., Sallabi, F., Serhani, M. A., Barka, E., Shuaib, K., Tariq, A. & Khayat, M. Empowering Healthcare with Cyber-Physical System – A Systematic Literature Review. IEEE Access (2024).

Rehman, U., Adnan, M., Tariq, A. & Malik, S. VTA-SMAC: Variable Traffic-Adaptive Duty Cycled Sensor MAC Protocol to Enhance Overall QoS of S-MAC Protocol. IEEE Access (2021).

Mehwish, R., Din, I. U., Adnan, M., Tariq, A., Sheheryar, M. & Ikram, S. ECM-MAC: An Efficient Collision Mitigation Strategy in Contention-Based MAC Protocol. IEEE Access (2022).

Ghaffar, A., Din, I. U., Tariq, A. & Zafar, M. H. Hybridization and Artificial Intelligence in Optimizing University Examination Timetabling Problem: A Systematic Review. Review of Education (2025).

Qazi, M., Tariq, A., Rehman, R. A. & Kim, B. A Novel Solution to Minimize the Interest Flooding and Improve Content-Store Performance for NDN-Based Wireless Sensor Networks. IEICE Transactions on Information and Systems (2021).

Book Chapter

Tariq, A., Ali, L., Sallabi, F. M., Alnajjar, F. & AlJassmi, H. Applications of Big Data Analytics in IoT. In Empowering IoT with Big Data Analytics, Elsevier (2025).