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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 4 of 8

OpenAlex
  1. T. Alyas and M. M. Asif, "Security Strategy for Virtual Machine Allocation in Cloud Computing,", HAL (Le Centre pour la Communication Scientifique Directe), 2022, View source.
    0
    Open Access
  2. M. Waqas, T. Alyas, M. M. Ajmal, F. Khan, T. K. Whangbo, and N. Mahmood, "Evaluation of Smart City Healthcare Features (SCHF) through Machine Learning,", 2022 International Conference on Business Analytics for Technology and Security (ICBATS), 2022, doi: 10.1109/icbats54253.2022.9759060.
    1
  3. M. A. Saleem, M. Aamir, R. Ibrahim, N. Senan, and T. Alyas, "An Optimized Convolution Neural Network Architecture for Paddy Disease Classification,", Computers, materials & continua/Computers, materials & continua (Print), 2022, doi: 10.32604/cmc.2022.022215.
    27
    Open Access
  4. T. Alyas, K. Alissa, A. S. Mohammad, S. Asif, T. Faiz, and G. Ahmed, "Innovative Fungal Disease Diagnosis System Using Convolutional Neural燦etwork,", Computers, materials & continua/Computers, materials & continua (Print), 2022, doi: 10.32604/cmc.2022.031376.
    3
    Open Access
  5. T. Alyas, M. Hamid, K. Alissa, T. Faiz, N. Tabassum, and A. Ahmad, "[Retracted] Empirical Method for Thyroid Disease Classification Using a Machine Learning Approach,", BioMed Research International, 2022, doi: 10.1155/2022/9809932.
    94
    Open Access
  6. A. A. Nagra, T. Alyas, M. Hamid, N. Tabassum, and A. Ahmad, "[Retracted] Training a Feedforward Neural Network Using Hybrid Gravitational Search Algorithm with Dynamic Multiswarm Particle Swarm Optimization,", BioMed Research International, 2022, doi: 10.1155/2022/2636515.
    9
    Open Access
  7. T. Alyas, I. Javed, A. Namoun, A. Tufail, S. Alshmrany, and N. Tabassum, "Live Migration of Virtual Machines Using a Mamdani Fuzzy Inference System,", Computers, materials & continua/Computers, materials & continua (Print), 2021, doi: 10.32604/cmc.2022.019836.
    28
    Open Access
  8. N. Tabassum, T. Alyas, M. Hamid, M. Saleem, and S. Malik, "Hyper-Convergence Storage Framework for EcoCloud Correlates,", Computers, materials & continua/Computers, materials & continua (Print), 2021, doi: 10.32604/cmc.2022.019389.
    14
    Open Access
  9. 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.
    27
    Open Access
  10. 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