Usman Sattar
| Name | Usman Sattar |
|---|---|
| Job title | Lecturer in Information Technology |
| Research institute | College of Science and Engineering |
| ORCID | https://orcid.org/0000-0003-1457-3021 |
Research outputs
Artificial intelligence for enhanced quality assurance through advanced strategies and implementation in the software industry
Vivekananthan, J., Sattar, U. and Lackner, M. 2025. Artificial intelligence for enhanced quality assurance through advanced strategies and implementation in the software industry. Journal of Intelligent Systems. 34 (1), pp. 1-19. https://doi.org/10.1515/jisys-2024-0377Beyond polarity: forecasting consumer sentiment with aspect- and topic-conditioned time series models
Sattar, U., Hasan, R., Palaniappan, S., Mahmood, S. and Khan, H. W. 2025. Beyond polarity: forecasting consumer sentiment with aspect- and topic-conditioned time series models. Information. 16 (8), pp. 1-20. https://doi.org/10.3390/info16080670Adopting open-source SD-WAN: a comprehensive analysis of performance, cost, and security benefits over traditional WAN architectures
Arogundade, S. V., Sattar, U. and Khan, H. W. 2025. Adopting open-source SD-WAN: a comprehensive analysis of performance, cost, and security benefits over traditional WAN architectures. EAI Endorsed Transactions on Scalable Information Systems. 12 (4). https://doi.org/10.4108/eetsis.7217Predicting product sales performance using various types of customer review data
Baskaran, J., Sattar, U. and Khan, H. W. 2025. Predicting product sales performance using various types of customer review data. EAI Endorsed Transactions on Scalable Information Systems. 12 (4), pp. 1-11. https://doi.org/10.4108/eetsis.7216From promotion to empathy: a content analysis of brand responses to social justice movements
Dilshad, W., Sattar, U. and Ghaffar, A. 2025. From promotion to empathy: a content analysis of brand responses to social justice movements. Bulletin of Management Review . 2 (2), p. 440–453.Enhancing supply chain management: a comparative study of machine learning techniques with cost–accuracy and esg-based evaluation for forecasting and risk mitigation
Sattar, U., Dattana, V., Hasan, R., Mahmood, S., Khan, H. W. and Hussain, S. 2025. Enhancing supply chain management: a comparative study of machine learning techniques with cost–accuracy and esg-based evaluation for forecasting and risk mitigation. Sustainability. 17 (13), pp. 1-45. https://doi.org/10.3390/su17135772Exploring the impact of augmented reality on medical students’ intrinsic motivation: a three-dimensional analysis
Sattar, U., Khan, H. W., Ghaffar, A. and Raza, S. 2025. Exploring the impact of augmented reality on medical students’ intrinsic motivation: a three-dimensional analysis. Journal of Management & Social Science. 2 (2), pp. 257-276. https://doi.org/10.63075/dt4f4h66Enhancing customer segmentation through factor analysis of mixed data (FAMD)-based approach using K-means and hierarchical clustering algorithms
Sattar, U., Ufeli, C. P., Hasan, R. and Mahmood, S. 2025. Enhancing customer segmentation through factor analysis of mixed data (FAMD)-based approach using K-means and hierarchical clustering algorithms. information. 16 (6), pp. 1-25. https://doi.org/10.3390/info16060441Mitigating fuel station drive-offs using AI: YOLOv8 OCR and MOT history API for detecting fake and altered plates
Milinda, G., Sattar, U. and Hasan, R. 2025. Mitigating fuel station drive-offs using AI: YOLOv8 OCR and MOT history API for detecting fake and altered plates. Computers, Materials & Continua. 83 (3), pp. 4061-4084. https://doi.org/10.32604/cmc.2025.062826Stroke detection in brain CT images using convolutional neural networks: model development, optimization and interpretability
Abdi, H., Sattar, U., Dattana, V., Hasan, R., Dattana, V. and Mahmood, S. 2025. Stroke detection in brain CT images using convolutional neural networks: model development, optimization and interpretability. Information. 16 (5), pp. 1-29. https://doi.org/10.3390/info16050345A human-centered design framework for intuitive mobile AR in medical learning
Sattar, U., Khan, H., Hasan, R. and Hassan, A. 2025. A human-centered design framework for intuitive mobile AR in medical learning. UMT Education Review. 7 (2), p. 94–122. https://doi.org//10.32350/uer.72.051970
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