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Efat, M. E., Fazle Rabbi, S. M., and, Islam, M. S., Bridging Materials Design and AI: Explainable Models for Predicting Steel Mechanical Properties. 3rd International Conference on Mechanical, Manufacturing and Process Engineering (ICMMPE 2026), 30 - 31 January 2026, Gazipur, Bangladesh., Jan 2026.
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Efat, M. E., Islam, M. S., Polash, M. S. H., and , Fazle Rabbi, S. M., Band Gap Prediction in 2D Materials via Machine Learning and Explainable AI: A Physics Inspired Approach. IEEE International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE 2026), 29–31 January 2026, Rajshahi-6204, Bangladesh., Jan 2026.
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Zannat, A., Ahmmed, M. S., Hossain, M. A., Islam, M. S., and Manarat, A. S., ASTRID-Net: SE-enhanced triple attention deep learning framework for IoT and IIoT security. Scientific Reports, Jan 2026.
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Efat, M. E., Fazle Rabbi, S.M., Islam M. S., and Polash, M. S. H., Physics-Guided Machine Learning Approaches for Lithium-Ion Battery State-of- Health Prediction: A Comprehensive Benchmark Using the Oxford Dataset. 2nd International Conference on Frontiers in Science: Innovation & Technology for Greener Industry, 15-16 January 2026, BUET, Dhaka-1000, Bangladesh, Jan 2026.
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Md. Azizul Hakim Bappy, Hossen A Mustafa, Prottoy Saha and Rajinus Salehat, Fine-Tuned Small Language Model for Accurate and Private CWE Detection in Python Code. 2025 28th International Conference on Computer and Information Technology (ICCIT), Cox's Bazar, Bangladesh, Dec 2025.
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Efat, M. E., Fazle Rabbi, S. M., and Islam, M. S., Comprehensive Cross-Validated Benchmarking of Machine Learning Models for Electricity Theft Detection. 6th IEEE International Conference on Telecommunications and Photonics (ICTP 2025), 18-19 December 2025, Dhaka, Bangladesh., Dec 2025.
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Akter, S., and Islam, M. S., Hybrid Deep Learning Architectures for Malware Detection: A Comparative Study. 6th IEEE International Conference on Telecommunications and Photonics (ICTP 2025), 18-19 December 2025, Dhaka, Bangladesh., Dec 2025.
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Efat, M. E., Fazle Rabbi, S. M. and Islam, M. S., Data Driven Explainable Machine Learning for Predicting Mechanical Properties of Copper-Based Multi-Principal Element Alloys. 15th International Conference on Mechanical Engineering (ICME 2025), 17-18 December 2025, Dec 2025.
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Khatun, M. R., Islam, M. S., Advances in PCF-SPR sensors: A comprehensive review of biosensing and environmental applications. Measurement, Volume 258, Dec 2025.
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Ahsan, M. A., and Islam, M. S., A Hybrid Deep Learning Model for Detecting False Data Injection Attacks in Smart Grid Networks. Presented at IEEE 7th International Conference on Sustainable Technologies for Industry 5.0 (STI 2025) 11-12 December, Dhaka, Bangladesh. DOI: 10.1109/STI69347.2025.11367498, Dec 2025.
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Farhad Hossain Rakib, Hossen A Mustafa, AI-Enhanced Explainable Models for Early Detection of Neurodevelopmental Impairments in Children. In the Proceedings of the 2025 IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON), Nov 2025.
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N. I. Bithi, M. J. Miah, and M. R. Mahamud, SigmaFusionNet: A residual-enhanced hybrid CNN for accurate Gaussian noise prediction in medical X-ray images. International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN), pp. 1-5, Rangpur, Bangladesh, 2025, Sep 2025.
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M. R. Mahamud, M. J. Miah, and N. I. Bithi, Controllable image enhancement using adaptive scaling in deep super-resolution networks. International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN), pp. 1-6, Rangpur, Bangladesh, 2025 [ Won the Best Paper Award (first prize) ], Sep 2025.
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M. K. Ahmed, A. Hye, and M. J. Miah, An efficient framework integrating machine learning and deep learning techniques for predicting air quality index category in Dhaka city. International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN), pp. 1-6, Rangpur, Bangladesh, 2025, Sep 2025.
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Khatun, M. R., and Islam, M. S., Design optimization of high-sensitivity PCF-SPR biosensor using machine learning and explainable AI. PLOS One, Sep 2025.
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M. R. Mahamud, M. J. Miah, and N. I. Bithi, Effective super-resolution through multi-order degradation simulation and efficient training strategies. International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN), pp. 1-6, Rangpur, Bangladesh, 2025, Sep 2025.
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Md Tousif Hasan Lavlu, Afnanul Hassan, Sanjida Akhtar, Salsa- Bil- Labiba and Hossen Mustafa, Reviewing chatbot algorithms: methods for intelligent dialogue systems. Human-Intelligent Systems Integration , Vol 6(1), Springer Nature, Sep 2025.
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R. Hassan, M. R. H. Mondal, S. I. Ahamed, F. Mostafa, M. M. Rahman, An efficient dual-line decoder network with multi-scale convolutional attention for multi-organ segmentation. Biomedical Signal Processing and Control, Elsevier (Scopus & SCIE indexed), vol. 112, Part D, 2026, 108611, Sep 2025.
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Hossain, M. A., Saif, S., Islam, M. S., A novel federated learning approach for IoT botnet intrusion detection using SHAP-based knowledge distillation. Complex & Intelligent Systems, Aug 2025.
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Zannat, A., Islam, M. S., Zaman, M. S., Saif, S., Indigenous wood species classification using a multi-stage deep learning with grad-CAM explainability and an ensemble technique for Northern Bangladesh. PLOS 1, Jul 2025.
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