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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 3 of 8

OpenAlex + Manual
  1. I. Mahmood, T. Alyas, S. Abbas, T. Shahzad, Q. Abbas, and K. Ouahada, "Intrusion Detection in 5G Cellular Network Using Machine Learning,", Computer Systems Science and Engineering, 2023, doi: 10.32604/csse.2023.033842.
    10
    Open Access
  2. T. Alyas, T. M. Ghazal, B. S. Alfurhood, G. F. Issa, O. A. Thawabeh, and Q. Abbas, "Optimizing Resource Allocation Framework for Multi-Cloud Environment,", Computers, materials & continua/Computers, materials & continua (Print), 2023, doi: 10.32604/cmc.2023.033916.
    30
    Open Access
  3. T. Alyas, T. M. Ghazal, B. S. Alfurhood, M. Ahmad, O. A. Thawabeh, K. Alissa, and Q. Abbas, "Performance Framework for Virtual Machine Migration in Cloud Computing,", Computers, materials & continua/Computers, materials & continua (Print), 2022, doi: 10.32604/cmc.2023.035161.
    26
    Open Access
  4. Q. Abbas, T. A. Alghamdi, Y. Alsaawy, T. Alyas, A. Alzahrani, K. I. Malik, and S. Bibi, "Reducing Dataset Specificity for Deepfakes Using Ensemble Learning,", Computers, materials & continua/Computers, materials & continua (Print), 2022, doi: 10.32604/cmc.2023.034482.
    2
    Open Access
  5. T. Alyas, K. Ateeq, M. Alqahtani, S. Kukunuru, N. Tabassum, and R. Kamran, "Security Analysis for Virtual Machine Allocation in Cloud Computing,", 2022 International Conference on Cyber Resilience (ICCR), 2022, doi: 10.1109/iccr56254.2022.9996066.
    6
  6. K. Alissa, T. Alyas, K. Zafar, Q. Abbas, N. Tabassum, and S. Sakib, "Botnet Attack Detection in IoT Using Machine Learning,", Computational Intelligence and Neuroscience, 2022, doi: 10.1155/2022/4515642.
    84
    Open Access
  7. T. Alyas, A. Alzahrani, Y. Alsaawy, K. Alissa, Q. Abbas, and N. Tabassum, "Query Optimization Framework for Graph Database in Cloud Dew Environment,", Computers, materials & continua/Computers, materials & continua (Print), 2022, doi: 10.32604/cmc.2023.032454.
    9
    Open Access
  8. M. Niazi, S. Abbas, A. Soliman, T. Alyas, S. Asif, and T. Faiz, "Vertical Pod Autoscaling in Kubernetes for Elastic Container Collaborative燜ramework,", Computers, materials & continua/Computers, materials & continua (Print), 2022, doi: 10.32604/cmc.2023.032474.
    13
    Open Access
  9. T. Alyas, K. Alissa, M. Alqahtani, T. Faiz, S. A. Alsaif, N. Tabassum, and H. H. Naqvi, "Multi-Cloud Integration Security Framework Using Honeypots,", Mobile Information Systems, 2022, doi: 10.1155/2022/2600712.
    34
    Open Access
  10. T. Alyas, S. Ali, H. U. Khan, A. Samad, K. Alissa, and M. A. Saleem, "Container Performance and Vulnerability Management for Container Security Using Docker Engine,", Security and Communication Networks, 2022, doi: 10.1155/2022/6819002.
    30
    Open Access