PhD in Software Engineering, Chongqing University, China
MS in Computer Science, Air University Islamabad, Multan Campus, Pakistan
B.C.S (Hons) in Computer Science, B.Z. University, Multan, Pakistan
07/2020–present Assistant Professor, Department of Computer Science Air University, Multan Campus
11/2022 – 10/2025 Postdoctoral Research Fellow, Soochow University, Suzhou, China.
08/2014–04/2016 NCBA & E Lahore, Layyah Campus, Pakistan
09/2011–06/2014 Bahauddin Zakariya University Multan, Layyah Campus, Pakistan
06/2023– 05/2024 Won funded project through "Province Level Excellent Postdoctoral Researcher Funding Program 2023”, JiangSu Province Funding Agency, China, Total Amount: 300000 RMB
Journal Papers
Wang, J., Mateen, M., Xiang, D., Zhu, W., Shi, F., Huang, J., ... & Chen, X. (2025). Task Augmentation-Based Meta-Learning Segmentation Method for Retinopathy. IEEE Transactions on Pattern Analysis and Machine Intelligence.
Xu, K#., Mateen, M#., Huihui, J., Zhu, W., Shi, F., Tan, Z., ... & Chen, X. (2025). PIOFSF: A deep learning-based pediatric inferior orbital fracture screening framework. Biomedical Signal Processing and Control. (#co-first-author)
Chen X…, Mateen, M., et al. (2025). An Artificial Intelligence Cloud Platform for OCT-based Retinal Disease Screening System in Real Clinical Environments. npj Digital Medicine
Mateen, M., Zhu, W., Shi, F., Xiang, D., Nie, B., Peng, T., & Chen, X. (2025). The role of artificial intelligence in the diagnosis of diabetic retinopathy through retinal lesion features: a narrative review. Quantitative Imaging in Medicine and Surgery.
Peng, T., Xiang, D., Ren, G., Mateen, M., Zhao, J., Gu, Y., ... & Chen, X. (2025). CPSN: Caputo Principal-Curve-Guided Segmentation Network on Ultrasound Kidney Databases. Journal of Imaging Informatics in Medicine.
Mateen, M., Hayat, S., Arshad, F., Gu, Y.-H., Al-antari, M.A. (2024). Hybrid deep learning framework for melanoma diagnosis using dermoscopic medical images. Diagnostics.
Diao S, Yin Z, Chen X, Li M, Zhu W, Mateen, M., Xu X, Shi F, Fan Y. (2024). Two‐stage adversarial learning based unsupervised domain adaptation for retinal OCT segmentation. Medical Physics.
Kou, W., Liu, J., Liu, J., Chen, X., Tang, X., Peng, T., Mateen, M., Liu, Y. and Nie, B., (2024). A porous elastomer with a cavity array for three-dimensional plantar force sensing. Chemical Engineering Journal.
Arshad, F., Mateen, M*., Hayat, S., Wardah, M., Al-Huda, Z., Gu, Y. H., & Al-antari, M. A. (2023). PLDPNet: End-to-end hybrid deep learning framework for potato leaf disease prediction. Alexandria Engineering Journal. (Corresponding Author)
Wardah, M., Mateen, M*., Malik, T. S., Alzahrani, M. E., Fahad, A., Almalawi, A., & Naqvi,R. A. (2023). Automated Brain Hemorrhage Classification and Volume Analysis. CMC- Computers Materials & Continua. (Corresponding Author)
Safdar Malik, T., Siddiqui, M. N., Mateen, M., Malik, K. R., Sun, S., & Wen, J. (2022). Comparison of blackhole and wormhole attacks in cloud MANET enabled IOT for agricultural field monitoring. Security and Communication Networks.
Mateen, M., Malik, T. S., Hayat, S., Hameed, M., Sun, S., & Wen, J. (2022). Deep learning approach for automatic microaneurysms detection. Sensors.
Cheng, T., Zhao, K., Sun, S., Mateen, M., & Wen, J. (2022). Effort-aware cross-project just- in-time defect prediction framework for mobile apps. Frontiers of Computer Science.
Sun, S., Zhao, B., Mateen, M., Chen, X., & Wen, J. (2022). Mask guided diverse face image synthesis. Frontiers of Computer Science.
Hayat, S., Kun, S., Shahzad, S., Suwansrikham, P., Mateen, M., & Yu, Y. (2021). Entropy information‐based heterogeneous deep selective fused features using deep convolutional neural network for sketch recognition. IET Computer Vision.
Mateen, M., Wen, J., Hassan, M., Nasrullah, N., Sun, S., & Hayat, S. (2020). Automatic detection of diabetic retinopathy: a review on datasets, methods and evaluation metrics. IEEE Access.
Mateen, M., Wen, J., Nasrullah, N., Sun, S., & Hayat, S. (2020). Exudate detection for diabetic retinopathy using pretrained convolutional neural networks. Complexity.
Sun, S., Zhao, B., Chen, X., Mateen, M., & Wen, J. (2019). Channel attention networks for image translation. IEEE Access.
Nasrullah, N., Sang, J., Alam, M. S., Mateen, M., Cai, B., & Hu, H. (2019). Automated lung nodule detection and classification using deep learning combined with multiple strategies. Sensors.
Nasrullah, N., Sang, J., Mateen, M., Akbar, M. A., Xiang, H., & Xia, X. (2019). Reversible data hiding in compressed and encrypted images by using Kd-tree. Multimedia Tools and Applications.
Mateen, M., Wen, J., Nasrullah, Song, S., & Huang, Z. (2018). Fundus image classification using VGG-19 architecture with PCA and SVD. Symmetry.
(Conference) Xu, X., Chen, Y., Shi, F., Zhou, Y., Zhu, W., Gao, S., Mateen, M., & Chen, X. (2023, September). Dual-Modality Grading of Keratoconus Severity Based on Corneal Topography and Clinical Indicators. (MICCAI) In International Workshop on Ophthalmic Medical Image Analysis (pp. 102-111). Cham: Springer Nature Switzerland.