Staff profile

I am a Postdoctoral Research Associate at Durham University, specializing in enhancing the quality of home-based Optical Coherence Tomography (OCT) images. I am also a member of the Engineering Ethics Committee, reflecting my commitment to ethical practices in research and innovation. With a PhD in Biomedical Engineering (Bioelectronics), I bring expertise in AI-driven medical innovations, including drug discovery, biomarker detection, and imaging analysis. Previously, I reduced equipment downtime and optimized costs as a medical equipment expert, earning recognition for enhancing service quality. Proficient in Python and MATLAB, I develop advanced AI tools to bridge engineering and medicine, driving healthcare innovation and better patient care.

• Artificial Intelligence
• Machine learning / Deep Learning
• Image Processing (Medical Image Processing, Computer Vision, Graph based image processing, Image modeling, Noise reduction methods)
• Time-frequency methods (Sparse representations, Dictionary learning, X-lets)
• Medical Data Analysis
• Image Quality Assessment

Journal Article

• Arian, R., Vard, A., Kafieh, R., Plonka, G., & Rabbani, H. (2025). CircWaveDL: Modeling of optical coherence tomography images based on a new supervised tensor-based dictionary learning for classification of macular abnormalities. Artificial Intelligence in Medicine, 160, Article 103060. https://doi.org/10.1016/j.artmed.2024.103060
• Aghababaei, A., Arian, R., Soltanipour, A., Ashtari, F., Rabbani, H., & Kafieh, R. (2024). Discrimination of multiple sclerosis using scanning laser ophthalmoscopy images with autoencoder-based feature extraction. Multiple Sclerosis and Related Disorders, 88, Article 105743. https://doi.org/10.1016/j.msard.2024.105743
• Arian, R., Aghababaei, A., Soltanipour, A., Khodabandeh, Z., Rakhshani, S., Iyer, S. B., Ashtari, F., Rabbani, H., & Kafieh, R. (2024). SLO-Net: Enhancing Multiple Sclerosis Diagnosis Beyond Optical Coherence Tomography Using Infrared Reflectance Scanning Laser Ophthalmoscopy Images. Translational Vision Science & Technology, 13(7), Article 13. https://doi.org/10.1167/tvst.13.7.13
• Arian, R., Mahmoudi, T., Riazi-Esfahani, H., Faghihi, H., Mirshahi, A., Ghassemi, F., Khodabande, A., Kafieh, R., & Khalili Pour, E. (2023). Automatic Choroid Vascularity Index Calculation in Optical Coherence Tomography Images with Low-Contrast Sclerochoroidal Junction Using Deep Learning. Photonics, 10(3), Article 234. https://doi.org/10.3390/photonics10030234
• Arian, R., Vard, A., Kafieh, R., Plonka, G., & Rabbani, H. (2023). A new convolutional neural network based on combination of circlets and wavelets for macular OCT classification. Scientific Reports, 13(1), Article 22582. https://doi.org/10.1038/s41598-023-50164-7
• Kafieh, R., Arian, R., Saeedizadeh, N., Amini, Z., Serej, N. D., Minaee, S., Yadav, S. K., Vaezi, A., Rezaei, N., & Javanmard, S. H. (2021). COVID-19 in Iran: Forecasting Pandemic Using Deep Learning. Computational and mathematical methods in medicine, 2021, Article 6927985. https://doi.org/10.1155/2021/6927985
• Kafieh, R., Saeedizadeh, N., Arian, R., Amini, Z., Serej, N. D., Vaezi, A., & Javanmard, S. H. (2020). Isfahan and Covid-19: Deep spatiotemporal representation. Chaos, Solitons and Fractals, 141, Article 110339. https://doi.org/10.1016/j.chaos.2020.110339
• Mostashari-Rad, T., Arian, R., Sadri, H., Mehridehnavi, A., Mokhtari, M., Ghasemi, F., & Fassihi, A. (2019). Study of CXCR4 chemokine receptor inhibitors using QSPR and molecular docking methodologies. Journal of Theoretical and Computational Chemistry, 18(04), Article 1950018. https://doi.org/10.1142/s0219633619500184