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

Dr. Azhar Imran Mudassir
Assistant Professor
Contact Information
  [email protected]
  --

Education Detail
PhD (Software Engineering) Beijing University of Technology
MS (Computer Science) University of Sargodha
BS (Software Engineering) University of Sargodha

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). (W Cat, SCI, Q2, IF: 2.835). 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. (Q2, ESCI) 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, 862-887. (SCIE, Q1, IF: 4.098) https://ieeexplore.ieee.org/abstract/document/8804190 4. 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. (Scopus), http://www.mecs-press.org/ijeme/ijeme-v8- n2/IJEME-V8-N2-2.pdf 5. 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). (Scopus), http://sujo-old.usindh.edu.pk/index.php/SURJ/article/view/3034 6. Imran, A., Nasir, A., Bilal, M., Sun, G., Alzahrani, A., & Almuhaimeed, A. (2022). Skin Cancer Detection Using Combined Decision of Deep Learners. IEEE Access. (SCIE, Q1, IF: 3.746) https://ieeexplore.ieee.org/abstract/document/9940917/ 7. Murtza, I., Saadia, A., Basri, R., Imran, A., Almuhaimeed, A., & Alzahrani, A. (2022). Forex Investment Optimization Using Instantaneous Stochastic Gradient Ascent—Formulation of an Adaptive Machine Learning Approach. Sustainability, 14(22), 15328. (SCIE, Q2, IF: 3.889) https://www.mdpi.com/1953488 8. Arooj, S., Rehman, S. U., Imran, A., Almuhaimeed, A., Alzahrani, A. K., & Alzahrani, A. (2022). A Deep Convolutional Neural Network for the Early Detection of Heart Disease. Biomedicines, 10(11), 2796. (SCIE, Q2, 4.757), https://www.mdpi.com/1924778 9. Asad, R., Imran, A., Li, J., Almuhaimeed, A., & Alzahrani, A. (2023). Computer-Aided Early Melanoma Brain-Tumor Detection Using Deep-Learning Approach. Biomedicines, 11(1), 184. (SCIE, Q2, 4.757) https://www.mdpi.com/2227-9059/11/1/184 10. Bilal, A., Imran, A., Baig, T. I., Liu, X., Long, H., Alzahrani, A., & Shafiq, M. (2024). Improved Support Vector Machine based on CNN-SVD for vision-threatening diabetic retinopathy detection and classification. Plos one, 19(1), e0295951. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0295951 11. Bhatti, D. S., Saleem, S., Imran, A., Kim, H. J., Kim, K. I., & Lee, K. C. (2024). Detection and isolation of wormhole nodes in wireless ad hoc networks based on post-wormhole actions. Scientific Reports, 14(1), 3428. https://www.nature.com/articles/s41598-024-53938-9 12. Kanwal, B., Rehman, S. U., Imran, A., Shaukat, R. S., Li, J., Alzahrani, A., & Alarfaj, F. K. (2023). Opinion Mining from Online Travel Reviews: An Exploratory Investigation on Pakistan Major Online Travel Services Using Natural Language Processing. IEEE Access. (SCI, Q1, IF: 3.746) https://ieeexplore.ieee.org/abstract/document/10077573/ 13. M. R. R. Rana, S. U. Rehman, A. Nawaz, T. Ali, A. Imran et al., "Aspect-based sentiment analysis for social multimedia: a hybrid computational framework," Computer Systems Science and Engineering, vol. 46, no.2, pp. 2415–2428, 2023. (SCI, Q3, IF: 4.397) https://www.techscience.com/csse/v46n2/51639 14. Sohaib Latif, Xian Wen Fang, Kaleem Arshid, Abdullah Almuhaimeed, Azhar Imran & Mansoor Alghamdi (2023) Analysis of Birth Data using Ensemble Modeling Techniques, Applied Artificial Intelligence, 37:1, (SCIE, Q1, IF: 2.77) DOI: 10.1080/08839514.2022.2158273 15. Liu, R., Ali, S., Bilal, S. F., Sakhawat, Z., Imran, A., Almuhaimeed, A., Alzahrani, A., & Sun, G. (2022). An Intelligent Hybrid Scheme for Customer Churn Prediction Integrating Clustering and Classification Algorithms. Applied Sciences, 12(18), 9355. (SCIE, Q2, IF: 2.838) https://doi.org/10.3390/app12189355 16. Bhatti, D. S., Saleem, S., Imran, A., Iqbal, Z., Alzahrani, A., Kim, H., & Kim, K. I. (2022). A Survey on Wireless Wearable Body Area Networks: A Perspective of Technology and Economy. Sensors, 22(20), 7722. (SCIE, Q2, IF: 3.847), https://www.mdpi.com/1424-8220/22/20/7722 17. Ali, S., Rehman, S. U., Imran, A., Adeem, G., Iqbal, Z., & Kim, K. I. (2022). Comparative Evaluation of AI-Based Techniques for Zero-Day Attacks Detection. Electronics, 11(23), 3934. (SCI, Q2, IF: 2.690) https://www.mdpi.com/2079-9292/11/23/3934 18. 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. (SCIE, Q1, IF: 4.098) https://ieeexplore.ieee.org/abstract/document/8756243 19. 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. (SCIE, Q2, IF: 2.838) , https://www.mdpi.com/2076- 3417/9/20/4317/htm20. Akhtar, F., Li, J., Pei, Y., Imran, A., Rajput, A., Azeem, M., & Liu, B. (2020). Diagnosis of large for-gestational-age infants using a semi-supervised feature learned from expert and data. Multimedia Tools and Applications, 1-31. (SCIE, Q1, IF: 2.577) https://link.springer.com/article/10.1007/s11042-020-09081-4 21. 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. (Scopus) https://www.emerald.com/insight/content/doi/10.1108/IJCS-01-2019-0004/full/html 22. Latif, J., Xiao, C., Tu, S., Rehman, S. U., Imran, A., & Bilal, A. (2020). Implementation and Use of Disease Diagnosis Systems for Electronic Medical Records Based on Machine Learning: A Complete Review. IEEE Access, 8, 150489-150513. (SCIE, Q1, IF: 4.098), https://ieeexplore.ieee.org/abstract/document/9167238/ 23. Alheeti, K. M. A., Lateef, A. A. A., Alzahrani, A., Imran, A., & Al_Dosary, D. (2023). Cloud Intrusion Detection System Based on SVM. International Journal of Interactive Mobile Technologies, 17(11). (SCI, Q3, 0.41), https://online-journals.org/index.php/ijim/article/view/39063 24. T. Mahmood, J. Li, Y. Pei, F. Akhtar, A. Imran and K. u. Rehman, "A Brief Survey on Breast Cancer Diagnostic with Deep Learning Schemes Using Multi-Image Modalities," in IEEE Access, doi: 10.1109/ACCESS.2020.3021343. (SCIE, Q1, IF: 4.098), https://ieeexplore.ieee.org/document/9184879 25. Khan, U., Yongan, Z., & Imran, A. (2020). A Blockchain Ethereum Technology-enabled Digital Content: Development of Trading and Sharing Economy Data. IEEE Access. (SCIE, Q1, IF: 4.098) https://ieeexplore.ieee.org/abstract/document/9273067/ 26. Mahmood, T., Li, J., Pei, Y., Akhtar, F., Imran, A., & Yaqub, M. (2021). An Automatic Detection and Localization of Mammographic Microcalcifications ROI with Multi-Scale Features Using the Radiomics Analysis Approach. Cancers, 13(23), 5916. (SCIE, Q1, IF: 6.575) https://www.mdpi.com/2072-6694/13/23/5916 27. Bilal, A., Sun, G., Mazhar, S., Imran, A., & Latif, J. (2022). A Transfer Learning and U-Net-based automatic detection of diabetic retinopathy from fundus images. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 1-12. (Q2, ESCI) https://www.tandfonline.com/doi/full/10.1080/21681163.2021.2021111 28. Mahmood, T., Akhtar, F., Rehman, K. U., Azeem, M., Mudassir, A. I., & Daudpota, S. M. (2020). Introducing robustness in DBR routing protocol. International Journal of Communication Networks and Distributed Systems, 24(3), 316-338. (Scopus) https://www.inderscienceonline.com/doi/abs/10.1504/IJCNDS.2020.106356 29. Latif, J., Tu, S., Xiao, C., Ur Rehman, S., Imran, A., & Latif, Y. (2022). ODGNet: a deep learning model for automated optic disc localization and glaucoma classification using fundus images. SN Applied Sciences, 4(4), 1-11. (SCI, Q3) https://link.springer.com/article/10.1007/s42452-022-04984-3 30. Rahman, H.; Bukht, T.F.N.; Imran, A.; Tariq, J.; Tu, S.; Alzahrani, A. A Deep Learning Approach for Liver and Tumor Segmentation in CT Images Using ResUNet. Bioengineering 2022, 9, 368. (SCIE, Q2, 5.046), https://doi.org/10.3390/bioengineering908036831. Inam, M., Li, Z., & Imran, A. (2019). Quality of Experience (QoE) Aware HTTP Adaptive Video Streaming Modelling–The Current Status and Challenges.Journal of Mobile Multimedia, 321-370. https://journals.riverpublishers.com/index.php/JMM/index 32. Khan, M. I., Imran, A., Butt, A. H., & Butt, A. U. R. (2021). Activity Detection of Elderly People Using Smartphone Accelerometer and Machine Learning Methods. International Journal of Innovations in Science & Technology, 3(4), 186-197. https://journal.50sea.com/index.php/IJIST/article/view/96 33. Khan, I., Siddique, M. Z., Butt, A. U. R., Mudassir, A. I., Qadir, M. A., & Munir, S. (2021). Towards Skin Cancer Classification Using Machine Learning And Deep Learning Algorithms: A Comparison. International Journal of Innovations in Science & Technology, 3, 110-118. https://journal.50sea.com/index.php/IJIST/article/view/116 34. Malik, Z. A., Siddiqui, M., Imran, A., Yasin, A. U., Butt, A. H., & Paracha, Z. J. (2022). Performance Evaluation of Classification Algorithms for Intrusion Detection on NSL-KDD Using Rapid Miner. International Journal of Innovations in Science & Technology, 4(1), 135-146. https://journal.50sea.com/index.php/IJIST/article/view/101/98 35. Baig, M. S., Imran, A., Yasin , A. ., Butt, A. H., & Muhammad Imran Khan. (2022). Natural Language to SQL Queries: A Review. International Journal of Innovations in Science & Technology, 4(1), 147–162. https://journal.50sea.com/index.php/IJIST/article/view/145/101 36. Iqbal, Z., Imran, A., Yasin, A., & Alvi, A. (2022). Denial of Service (DoS) Defences against Adversarial Attacks in IoT Smart Home Networks using Machine Learning Methods. NUST Journal of Engineering Sciences, 15(1), 18-25. https://www.journals.nust.edu.pk/index.php/njes/article/view/677 37. Ullah, I., Imran, A., Ashfaq, A., & Adnan, M. (2022). Exploiting Machine Learning Models for Identification of Heart Diseases. Journal of Computing & Biomedical Informatics, 3(02), 1-20. https://www.jcbi.org/index.php/Main/article/view/63 38. Jubeen, M., Rahman, H., Rahman, A. U., Wahid, S. A., Imran, A., Yasin, A., & Ihsan, I. (2022). An Automatic Breast Cancer Diagnostic System Based on Mammographic Images Using Convolutional Neural Network Classifier. Journal of Computing & Biomedical Informatics, 4(01), 77-86. https://www.jcbi.org/index.php/Main/article/view/93 39. Arshad, M. Z., Rahman, H., Tariq, J., Riaz, A., Imran, A., Yasin, A., & Ihsan, I. (2022). Digital Forensics Analysis of IoT Nodes using Machine Learning. Journal of Computing & Biomedical Informatics, 4(01), 1-12. https://www.jcbi.org/index.php/Main/article/view/107 40. Iqbal, S., Imran, A., & Adnan, M. (2022). Breast Tumor Detection using Machine Learning Boosting Classifiers. Journal of Computing & Biomedical Informatics, 4(01), 118- 131. https://jcbi.org/index.php/Main/article/view/64 Conferences:1. 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. (IEEE Conference) https://link.springer.com/chapter/10.1007/978-981-15-3250-4_18 2. Imran, A., Fahim, M., Alzahrani, A., Fahim, S., Alheeti, K. M. A., & Rehman, S. U. (2023, January). Twitter Sentimental Analysis using Machine Learning Approaches for SemeVal Dataset. In 2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC) (pp. 1-6). IEEE. (IEEE Conference) https://ieeexplore.ieee.org/abstract/document/10085107/3. Ikram, A., & Imran, A. (2023, December). Review on Detection and Classification of Diabetic Retinopathy using Fundus Images. In 2023 17th International Conference on Open Source Systems and Technologies (ICOSST) (pp. 1-5). IEEE. https://ieeexplore.ieee.org/abstract/document/10414197 4. 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/ 5. 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 6. 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 7. 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 8. 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 9. Sohail, M., Imran, A., Rehman, H. U., & Salman, M. (2020, January). Anti-Social Behavior Detection in Urdu Language Posts of Social Media. In 2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET) (pp. 1-7). IEEE. https://ieeexplore.ieee.org/abstract/document/9073857 10. Zhang, Tao, Xiankun Zhu, Yiqing Liu, Kun Zhang, and Azhar Imran. "Deep Learning Based Classification for Tomato Diseases Recognition." IOP Conference Series: Earth and Environmental Science, vol. 474, May 2020, p. 032014. https://iopscience.iop.org/article/10.1088/1755-1315/474/3/032014/meta 11. Akhtar, F., Li, J., Pei, Y., Imran, A., Sheikh, G. and Xu, Chan. “Exploiting Ensemble Classification Schemes to Improve Prognosis Process for Large for Gestational Age Fetus Classification”. In 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC). https://ieeexplore.ieee.org/document/9202683 12. Ijaz, S., Lali, M. I., Shahzad, B., Imran, A., & Tiwana, S. (2017, December). Biasness identification of talk show's host by using twitter data. In 2017 13th International Conference on Emerging Technologies (ICET) (pp. 1-6). IEEE. https://ieeexplore.ieee.org/abstract/document/8281707/ 13. Bilal, A., Sun, G., Mazhar, S., & Imran, A. (2022). Improved Grey Wolf Optimization-Based Feature Selection and Classification Using CNN for Diabetic Retinopathy Detection. In Evolutionary Computing and Mobile Sustainable Networks (pp. 1-14). Springer, Singapore. https://link.springer.com/chapter/10.1007/978-981-16-9605-3_1 14. Hafeez, M. A., Imran, A., Khan, M. I., Khan, A. H., Nawaz, A., & Ahmed, S. (2022, May). Diagnosis of Liver Disease Induced by Hepatitis Virus Using Machine Learning Methods. In 2022 8th International Conference on Information Technology Trends (ITT) (pp. 154-159). IEEE. https://ieeexplore.ieee.org/abstract/document/9863944/15. Khan, M. I., Khan, Z. A., Imran, A., Khan, A. H., & Ahmed, S. (2022, May). Student Performance Prediction in Secondary School Education Using Machine Learning. In 2022 8th International Conference on Information Technology Trends (ITT) (pp. 94-101). IEEE. https://ieeexplore.ieee.org/abstract/document/9863971 16. A. Ashfaq, A. Imran, I. Ullah, A. Alzahrani, K. M. A. Alheeti and A. Yasin, "Multi-model Ensemble Based Approach for Heart Disease Diagnosis," 2022 International Conference on Recent Advances in Electrical Engineering & Computer Sciences (RAEE & CS), 2022, pp. 1-8, doi: 10.1109/RAEECS56511.2022.9954490. 17. Fahim, S., Imran, A., Alzahrani, A., Fahim, M., Alheeti, K. M. A., & Alfateh, M. (2022, November). Twitter Sentiment Analysis Based Public Emotion Detection using Machine Learning Algorithms. In 2022 17th International Conference on Emerging Technologies (ICET) (pp. 107-112). IEEE. https://ieeexplore.ieee.org/abstract/document/10004648/

Research Interest
Deep Learning
Machine Learning
Image Processing
Natural Language Processing
Social Media Analysis
Blockchain
Medical Imaging
Mobile Security (MANETs)