← Back to Researchers
Researcher Profile

Dr. Tahir Alyas

Associate Professor

Status: Active

Dr. Tahir Alyas

Dr. Tahir Alyas

Associate Professor

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 3 of 8

OpenAlex
  1. 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.
    25
    Open Access
  2. 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
  3. 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
  4. 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.
    80
    Open Access
  5. 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
  6. 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.
    8
    Open Access
  7. 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.
    33
    Open Access
  8. 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.
    28
    Open Access
  9. A. Alzahrani, T. Alyas, K. Alissa, Q. Abbas, Y. Alsaawy, and N. Tabassum, "Hybrid Approach for Improving the Performance of Data Reliability in Cloud Storage Management,", Sensors, 2022, doi: 10.3390/s22165966.
    32
    Open Access
  10. T. Alyas, N. Tabassum, M. W. Iqbal, A. Alshahrani, A. M. Alghamdi, and S. K. Shahzad, "Resource Based Automatic Calibration System (RBACS) Using Kubernetes Framework,", Intelligent Automation & Soft Computing, 2022, doi: 10.32604/iasc.2023.028815.
    10
    Open Access