Journal Articles

• S. Rajit, T. Rahman, “Classification of Potent Dengue Inhibitors Using 2-D Molecular Images With Structure-Based Augmentation and Grad-CAM Visualization,”, IEEE Access, vol. 14, pp. 111329-111344, 2026. [Paper]

• M. Y. Hossain, M. M. H. Rakib, S. Rajit, I. R. Nijhum, R. M. Rahman, Adaptive and automatic aerial image restoration pipeline leveraging pre-trained image restorer with lightweight Fully Convolutional Network, Expert Systems with Applications, vol. 259, 2025 [Paper]

Conference Papers

• S. Rajit, Z. F. Ananna, M. M. Ehsan, N. N. Punom and S. Siddique, Multi-Class Brain Tumor Classification of MRI Image Using Federated Learning with Blockchain, IEEE Region 10 Symposium (TENSYMP), 2024 [Paper]

• S. Rajit, M. A. Al Sayed, Federated Learning Based Histopathological Image Classification for Oral Squamous Cell Carcinoma, 8th IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES), 2024 [Paper]

Under Review

• M. Y. Hossain, S. Rajit, M. M. H. Rakib, S. Dev, Reformulating Low-Light Image Enhancement as a Multi-Exposure Fusion Problem.

• M. M. H. Rakib, S. Rajit, M. Y. Hossain, I. R. Nijhum, R. M. Rahman, A Lightweight Biologically-Inspired Attention Module Through Center-Surround and Edge-Aware Priors.

• M. M. H. Rakib, S. Rajit, F. Mahmud, M. M. Hasan, M. A. Khan, M. S. G. Adnan, R. M. Rahman, Bridging Perceptual Quality and Machine Vision: Image Decolorization via Adaptive Three-Branch Fusion and Saliency-Guided Feature Refinement, Available at SSRN 7404264. [Paper]