Creative Technology Home Introduction Chair Department Departments Artifical Intelligence (AI) Data Sciece (DS) Software Engineering (SE) Program Details PLO's PEO's Program Offered Artifical Intelligence Data Science Software Engineeering Academic Calender Research Groups Industrial Advisory Board

Mr. Zain Abubaker
Lecturer
Contact Information
  [email protected]
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Education Detail
MS (SE) COMSATS University Islamabad, Pakistan
BS (SE) Government College University Faisalabad, Pakistan

1. Imran, A., Li, J., Pei, Y., Akhtar, F., Yang, J. J., & Dang, Y. (2020). “Fundus Image Based Cataract Classification using Hybrid Convolutional and Recurrent Neural Network”. In the Visual Computer Journal (Springer) .https://link.springer.com/article/10.1007/s00371-020-01994-3 2. Imran, A., Li, J., Pei, Y., Akhtar, F., Yang, J. J., & Dang, Y. (2020). Automated identification of cataract severity using retinal fundus images. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 1-8. https://www.tandfonline.com/doi/full/10.1080/21681163.2020.1806733 3. Imran, A., Li, J., Pei, Y., Yang, J. J., & Wang, Q. (2019). Comparative Analysis of Vessel Segmentation Techniques in Retinal Images. IEEE Access, 7, 114862-114887. https://ieeexplore.ieee.org/abstract/document/88041904. Imran, A., Li, J., Pei, Y., Mokbal, F. M., Yang, J. J., & Wang, Q. (2019, July). Enhanced Intelligence Using Collective Data Augmentation for CNN Based Cataract Detection. In International Conference on Frontier Computing (pp. 148-160). Springer, Singapore. https://link.springer.com/chapter/10.1007/978-981-15-3250-4_18 5. Imran, A., Li, J., Pei, Y., Akhtar, F., Yang, J. J., & Wang, Q. (2019, December). Cataract Detection and Grading with Retinal Images Using SOM-RBF Neural Network. In 2019 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 2626-2632). IEEE. https://ieeexplore.ieee.org/abstract/document/9002864 6. Imran, A., Faiyaz, M., & Akhtar, F. (2018). An enhanced approach for quantitative prediction of personality in Facebook posts. International Journal of Education and Management Engineering (IJEME), 8(2), 8-19. http://www.mecs-press.org/ijeme/ijeme-v8-n2/IJEME-V8-N2-2.pdf 7. Imran, A., Aslam, W., & Ullah, M. I. (2017). Quantitative Prediction of Offensiveness using Text Mining of Twitter Data. Sindh University Research Journal-SURJ (Science Series), 49(1). http://sujo-old.usindh.edu.pk/index.php/SURJ/article/view/3034 8. Li, J., Hu, Q., Imran, A., Zhang, L., Yang, J. J., & Wang, Q. (2018, July). Vessel Recognition of Retinal Fundus Images Based on Fully Convolutional Network. In 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC) (Vol. 2, pp. 413-418). IEEE. https://ieeexplore.ieee.org/abstract/document/8377896/ 9. Akhtar, F., Li, J., Guan, Y., Imran, A., & Azeem, M. (2018, July). Monitoring Bio-Chemical Indicators Using Machine Learning Techniques for an Effective Large for Gestational Age Prediction Model with Reduced Computational Overhead. In International Conference on Frontier Computing (pp. 130-137). Springer, Singapore.https://link.springer.com/chapter/10.1007/978-981-13-3648-5_15 10. Li, J., Xu, X., Guan, Y., Imran, A., Liu, B., Zhang, L., ... & Xie, L. (2018, October). Automatic Cataract Diagnosis by Image-Based Interpretability. In 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 3964-3969). IEEE. https://ieeexplore.ieee.org/abstract/document/8616669 11. Wajahat, A., Imran, A., Latif, J., Nazir, A., & Bilal, A. (2019, January). A Novel Approach of Unprivileged Keylogger Detection. In 2019 2nd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET) (pp. 1-6). IEEE. https://ieeexplore.ieee.org/abstract/document/8673404 12. Latif, J., Xiao, C., Imran, A., & Tu, S. (2019, January). Medical Imaging using Machine Learning and Deep Learning Algorithms: A Review. In 2019 2nd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET) (pp. 1-5). IEEE. https://ieeexplore.ieee.org/abstract/document/8673502 13. Wang, Y., Li, J., Hongbo, S., Li, Y., Akhtar, F., & Imran, A. (2019). A survey on VV&A of large-scale simulations. International Journal of Crowd Science, 10 May 2019. https://www.emerald.com/insight/content/doi/10.1108/IJCS-01-2019-0004/full/html 14. Mokbal, F. M. M., Dan, W., Imran, A., Jiuchuan, L., Akhtar, F., & Xiaoxi, W. (2019). MLPXSS: An Integrated XSS-Based Attack Detection Scheme in Web Applications Using Multilayer Perceptron Technique. IEEE Access, 7, 100567-100580. https://ieeexplore.ieee.org/abstract/document/8756243 15. Akhtar, F., Li, J., Pei, Y., Imran, A., Rajput, A., Azeem, M., & Wang, Q. (2019). Diagnosis and Prediction of Large-for-Gestational-Age Fetus Using the Stacked Generalization Method. Applied Sciences, 9(20), 4317. https://www.mdpi.com/2076-

Research Interest
Blockchain and Federated Learning in Beyond Fifth Generation Internet of Things (IoTs) and Wireless Sensor Networks (WSNs)