Research Papers

Conference Publications

1- Parsons, Z., Dou, F., Du, H., Song, Z., & Lu, J. (2023, November). Mobilizing Personalized Federated Learning in Infrastructure-Less and Heterogeneous Environments via Random Walk Stochastic ADMM. In Thirty-seventh Conference on Neural Information Processing Systems.

2 - Z. Ghasemi, S. Banitaan, G. Al-refai, ``Automated Chagas Disease Vectors Identification using Data Mining Techniques'', 2020 IEEE International Conference on Electro Information Technology (EIT), pp. 540-545, September 2020.

3 - G. Al-refai, M. Al-refai, S. Banitaan, Z. Ghasemi, ``Shared Images in A Connected-Vehicle Network Registration System Using Harris-Stephens Approach '', 2020 IEEE International Conference on Electro Information Technology (EIT), pp. 047-052, September 2020.

4 - Z. Ghasemi Kamasi, M.Mokhtari, H. Rabbani, "Non-Rigid Registration of Fluorescein Angiography and Optical Coherence Tomography B-scans via Scanning Laser Ophthalmoscope Imaging", IEEE Engineering in Medicine and Biology Society Conference 2017 (EMBC2017), July 2017.

5 - M. Mokhtari, Z. Ghasemi Kamasi, H. Rabbani, "Automatic Detection of Hyperreective Foci in Optical Coherence Tomography B-Scans Using Morphological Component Analysis", IEEE Engineering in Medicine and Biology 2017 (EMBC2017), July 2017.

6 - Z. Ghasemi, S. A. Monadjemi and A. Vafaei "Variance Based Component Analysis for Texture Segmentation" Proceedings of World Academy of Science and Engineering (WASET), vol. 61, no. 231, pp. 1247-1250, Jan. 2012.

Journal Publications

1 - Parsons, Z., & Banitaan, S. (2021). Automatic identification of Chagas disease vectors using data mining and deep learning techniques. Ecological Informatics, 62, 101270.

2 - R. Almasi, A. Vafaei, Z. Ghasemi, M. Ommani, A. Dehghani, H. Rabbani, "Registration of Fluorescein Angiography and Optical Coherence Tomography Images of Curved Retina via Scanning Laser Ophthalmoscopy photographs", BioMedical Optics Express, May 2020.

2 - Z. Ghasemi, A. Vafaei, and S. A. Monadjemi. "Comparison of Accuracy and Time Complexity of PCA Based Algorithms for Steel Surface Segmentation" International Journal of Research and Reviews in Computer Science (IJRRCS), vol. 3, no. 2, pp. 1525-1531, Apr. 2012.