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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 Sep 15, 2026 3:35 PM.

OpenAlex
Total Publications 72
Total Citations 1,470
h-index 24
i10-index 43

Recent Publications

72 publications - Page 5 of 8

OpenAlex + Manual
  1. J. Nazir, M. W. Iqbal, T. Alyas, M. Hamid, M. Saleem, S. Malik, and N. Tabassum, "Load Balancing Framework for Cross-Region Tasks in Cloud Computing,", Computers, materials & continua/Computers, materials & continua (Print), 2021, doi: 10.32604/cmc.2022.019344.
    28
    Open Access
  2. N. Tabassum, T. Alyas, M. Hamid, M. Saleem, S. Malik, and S. B. Zahra, "QoS Based Cloud Security Evaluation Using Neuro Fuzzy Model,", Computers, materials & continua/Computers, materials & continua (Print), 2021, doi: 10.32604/cmc.2022.019760.
    16
    Open Access
  3. S. Malik, N. Tabassum, M. Saleem, T. Alyas, M. Hamid, and U. Farooq, "Cloud-IoT Integration: Cloud Service Framework for M2M Communication,", Intelligent Automation & Soft Computing, 2021, doi: 10.32604/iasc.2022.019837.
    14
    Open Access
  4. D. Baig, T. Alyas, M. Hamid, M. Saleem, S. Malik, N. Tabassum, and N. A. Mian, "Bit Rate Reduction in Cloud Gaming Using Object Detection Technique,", Computers, materials & continua/Computers, materials & continua (Print), 2021, doi: 10.32604/cmc.2021.017948.
    7
    Open Access
  5. M. I. Sarwar, M. W. Iqbal, T. Alyas, A. Namoun, A. Alrehaili, A. Tufail, and N. Tabassum, "Data Vaults for Blockchain-Empowered Accounting Information Systems,", IEEE Access, 2021, doi: 10.1109/access.2021.3107484.
    76
    Open Access
  6. N. Tabassum, A. Rehman, M. Hamid, M. Saleem, S. Malik, and T. Alyas, "Intelligent Nutrition Diet Recommender System for Diabetic’s Patients,", Intelligent Automation & Soft Computing, 2021, doi: 10.32604/iasc.2021.018870.
    23
    Open Access
  7. M. Mehmood, E. Ayub, F. Ahmad, M. Alruwaili, Z. Alrowaili, S. Alanazi, M. H. M. Rizwan, S. Naseem, and T. Alyas, "Machine Learning Enabled Early Detection of Breast Cancer by Structural Analysis of Mammograms,", Computers, materials & continua/Computers, materials & continua (Print), 2021, doi: 10.32604/cmc.2021.013774.
    61
    Open Access
  8. N. Tabassum, A. Ditta, T. Alyas, S. Abbas, H. Alquhayz, N. A. Mian, and M. A. Khan, "Prediction of Cloud Ranking in a Hyperconverged Cloud Ecosystem Using Machine Learning,", Computers, materials & continua/Computers, materials & continua (Print), 2021, doi: 10.32604/cmc.2021.014729.
    43
    Open Access
  9. W. U. H. Abidi, M. S. Daoud, B. Ihnaini, M. A. Khan, T. Alyas, A. Fatima, and M. Ahmad, "Real-Time Shill Bidding Fraud Detection Empowered With Fussed Machine Learning,", IEEE Access, 2021, doi: 10.1109/access.2021.3098628.
    25
    Open Access
  10. N. Tabassum, T. Alyas, M. Hamid, M. Saleem, S. Malik, Z. Ali, and U. Farooq, "Semantic Analysis of Urdu English Tweets Empowered by Machine Learning,", Intelligent Automation & Soft Computing, 2021, doi: 10.32604/iasc.2021.018998.
    19
    Open Access