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Dr. Tahir Alyas

Associate Professor

Status: Active

Dr. Tahir Alyas

Dr. Tahir Alyas

Associate Professor

ResearchGate Google Scholar Scopus ORCID

Research Interests

Artificial Intelligence, Machine Learning. Deep Learning

Biography

Dr. Tahir Alyas is Director ORIC and Associate Professor of Computer Science at Lahore Garrison University, Pakistan. He holds a PhD in Computer Science and specializes in Artificial Intelligence, Blockchain, Cloud Computing, Cybersecurity, Federated Learning, and Digital Governance. He has published more than 55 research papers in high-impact international journals, including Scientific Reports, IEEE Access, Sensors, and Frontiers. Dr. Alyas has supervised numerous postgraduate research projects and secured several national and international research grants. He serves as a reviewer for leading journals published by IEEE, Springer Nature, MDPI, and Tech Science Press and is a Senior Member of IEEE. His current research focuses on Explainable AI, Large Language Models, Healthcare Informatics, Smart Cities, and Blockchain-enabled digital transformation.

Year-wise Citations

Citations grouped by publication year from OpenAlex.

OpenAlex

Research Impact

OpenAlex metrics connected to the researcher's ORCID iD. Last synced Jun 03, 2026 11:32 PM.

OpenAlex
Total Publications 73
Total Citations 1,373
h-index 23
i10-index 39

Recent Publications

73 publications - Page 1 of 8

OpenAlex
  1. M. Athar, A. Tufail, T. Alyas, A. S. Karnyoto, M. Sheeraz, A. M. Ibrahim, and T. M. Ghazal, "Early diagnosis of alzheimer’s disease using PET imaging and deep learning with comparative data augmentation techniques,", Scientific Reports, 2025, doi: 10.1038/s41598-025-28866-x.
    1
    Open Access
  2. B. Abbas, T. Alyas, Q. Abbas, S. S. Alqahtany, T. Alghamdi, N. Aljohani, N. Tabassum, and A. M. Ibrahim, "A hybrid support vector machine and neural network model with fuzzy logic fusion for smart city traffic prediction,", Scientific Reports, 2025, doi: 10.1038/s41598-025-18472-2.
    2
    Open Access
  3. G. Ahmad, F. M. Aleem, T. Alyas, Q. Abbas, W. Nawaz, T. M. Ghazal, A. Aziz, S. H. E. A. Aleem, N. Tabassum, and A. M. Ibrahim, "Intelligent waste sorting for urban sustainability using deep learning,", Scientific Reports, 2025, doi: 10.1038/s41598-025-08461-w.
    17
    Open Access
  4. M. Asim and T. Alyas, "Enhancing Guava Crop Health: A Computational Intelligence Approach to Disease Detection,", Journal of Innovative Computing and Emerging Technologies, 2025, doi: 10.56536/jicet.v5i1.191.
    1
    Open Access
  5. A. Azhar, N. Rehman, T. Alyas, and B. I. Makki, "AI adoption for green performance: An understanding of moderated mediation model,", International Journal of Hospitality Management, 2025, doi: 10.1016/j.ijhm.2025.104191.
    18
  6. T. Alyas, Q. Abbas, S. Niazi, S. S. Alqahtany, T. Alghamdi, A. Alzahrani, N. Tabassum, and A. M. Ibrahim, "Multi blockchain architecture for judicial case management using smart contracts,", Scientific Reports, 2025, doi: 10.1038/s41598-025-92842-8.
    8
    Open Access
  7. T. Alyas, S. Abbas, Q. Abbas, S. Albouq, M. Niazi, and M. A. Khan, "A Privacy-Preserving and Adversarially Robust Hybrid Deep-Quantum Model for CPS Security,", Communications in computer and information science, 2025, doi: 10.1007/978-981-95-3739-6_12.
    0
  8. S. Khan, T. M. Ghazal, T. Alyas, M. Waqas, M. A. Raza, O. Ali, M. A. Khan, and S. Abbas, "Towards Transparent Traffic Solutions: Reinforcement Learning and Explainable AI for Traffic Congestion,", International Journal of Advanced Computer Science and Applications, 2025, doi: 10.14569/ijacsa.2025.0160150.
    51
    Open Access
  9. T. Alyas, B. Y. Almansour, N. Tabassum, A. Y. Almansour, and A. Azhar, "Enhancing Governance in Pakistan Through E-Government: The Role of Evidence-Based Monitoring Systems,", Article, 2024, doi: 10.1109/dasa63652.2024.10836172.
    2
  10. H. Ali, T. Alyas, N. Tabassum, M. Ahmad, and M. H. G. Muhammad, "Real-Time Gym Activity Recognition: A Fog-Enabled IoT Solution with Cloud Integration,", Article, 2024, doi: 10.1109/dasa63652.2024.10836550.
    0