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M. Afroj, M. R. H. Mondal, M. R. Hassan and S. Akter, MobDenseNet: A hybrid deep learning model for brain tumor classification using MRI. Array, Elsevier (Scopus & ESCI indexed), Vol. 26, 100413, May 2025.
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M. J. Miah, A. Boni, D. Martin, A. Ginolas, M. Elattar, P. Della Casa, S. Grützner, S. Strohmaier, A. Knigge, G. Tränkle, and P. Crump, Thermal lens manipulation using edge-heaters in laser bars for improved efficiency and divergence. IEEE Photonics Technology Letters, vol. 37, no. 9, pp. 545–548, May 2025.
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M. S. S. Sozol, M. R. H. Mondal and A. H. Thamrin, Indoor fire and smoke detection based on optimized YOLOv5. Indoor fire and smoke detection based on optimized YOLOv5”, PLoS ONE (Scopus & SCIE indexed), 20(4): e0322052, Apr 2025.
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Hossain, M. A. and Islam, M. S., A novel feature selection-driven ensemble learning approach for accurate botnet attack detection. Alexandria Engineering Journal, Volume 118, Pages 261-277, Apr 2025.
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P. Crump, A. Boni, M. Elattar, S. Khamari, I. Marko, S. Sweeney, S. Arslan, B. King, M. J. Miah, D. Martin, A. Knigge, P. Della Casa, and G. Tränkle, Power and efficiency scaling of GaAs-based high-power laser diodes. IEEE Journal of Selected Topics in Quantum Electronics. . IEEE Journal of Selected Topics in Quantum Electronics, vol. 31, no. 2, p. 1502512, Apr 2025.
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N. R. Bhowmik, M. R. H. Mondal and M. Arifuzzaman, BN-GRAPH: Data Augmentation Based Bangla Text Sentiment Analysis in Deep Graph Neural Network. SN Computer Science, Springer (Scopus indexed), 6, 311, Mar 2025.
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T. M. Angona, and M. R. H. Mondal, An Attention based Residual U-Net with Swin Transformer for Brain MRI Segmentation. Array, Elsevier (Scopus & ESCI indexed), 100376, Jan 2025.
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C.-K. Wu, X.-E. Xue, S.-C. Tian, M. J. Miah, A. Strittmatter, and D. Bimberg, Brightness improvement of edge-emitting lasers by combining vertical broad-area HiBBEE and laterally inhomogeneous waveguides. APL Photonics, vol. 9, no. 12, p. 126113, Dec 2024.
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Hossain, M. S., Hossain, M. A., and Islam, M. S., I‑MPaFS: enhancing EDoS attack detection in cloud computing through a data‑driven approach. Journal of Cloud Computing: Advances, Systems and Applications, vol. 14, no. 151, Oct 2024.
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Sultana, N., and Islam, M. S., Comparative investigation of group-velocity dispersion with nonlinear phase modulation in fiber optic WDM transmission. International Journal of Information Technology, Aug 2024.
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C.-K. Wu, X.-E. Xue, S.-C. Tian, M. J. Mia, A. Strittmatter, and D. Bimber, Improvement of beam quality of high-power edge-emitting lasers using inhomogeneous waveguides.. Optics Express, vol. 32, no. 14, pp. 24802–24810, Jul 2024.
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M. J. Miah, D. Martin, A. Ginolas, M. Elattar, P. Della Casa, S. Grützner, S. Strohmaier, A. Knigge, G. Tränkle, and P. Crump, Micro-structured lateral thermal-lens for increased output power and narrowed beam divergence in kilowatt-class 9xx nm diode laser bars. Applied Physics Letters, vol. 124, no. 24, p. 241104, Jun 2024.
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Hassan, R., Mondal, M. R. H., and Ahamed, S. I. , UDBRNet: A novel uncertainty driven boundary refined network for organ at risk segmentation. PLoS ONE (Scopus & SCIE indexed), 19(6), e0304771, Jun 2024.
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Hossain, M. A. and Islam, M. S., Enhancing DDoS attack detection with hybrid feature selection and ensemble-based classifier: A promising solution for robust cybersecurity. Measurement: Sensors, Apr 2024.
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Hossain, M. A. and Islam, M. S., Enhanced detection of obfuscated malware in memory dumps: a machine learning approach for advance cybersecurity.. Open Access, doi: 10.1016/j.measen.2024.101037, Jan 2024.
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Sultna, N., Islam, M. S., Analysis of performance limits in optical communications due to fibernonlinearity and third order dispersion. Discover Electronics, Dec 2023.
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Hossain, M. A. and Islam, M. S., A novel hybrid feature selection and ensemble‑based machine learning approach for botnet detection. Scientific Reports, Dec 2023.
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Alam, F. B., Podder, P., and Mondal, M. R. H. , RVCNet: A hybrid deep neural network framework for the diagnosis of lung diseases. PLoS ONE (Scopus & SCIE indexed), 18(12): e0293125, Dec 2023.
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Saha, P., Das R., and Das, S. K. , A Review on Machine Learning and Deep Learning Based Systems for the Diagnosis of Brain Cancer.. SN Computer Science, 5(1), p. 28, Nov 2023.
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Saha, P., Das R., and Das, S. K. , BCM-VEMT: Classification of brain cancer from MRI images using deep learning and ensemble of machine learning techniques.. Multimedia Tools and Applications, 82(28), pp. 44479-44506, Nov 2023.
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