A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis.
S.I. Sheakh , M.A. Tahosin M.S. Hasan M.Z. Shuva T.F. Bhuiyan T. Almoyad M.A.A. Orka N.A. Rahman M.T. Khan R.T. Kaiser; and M.A. Moni.
Advanced Intelligent Systems,2400495. 2025.
link
bibtex
@article{onni2025hybrid,
title={A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis},
author={onni, S.I., Sheakh, M.A., Tahosin, M.S., Hasan, M.Z., Shuva, T.F., Bhuiyan, T., Almoyad, M.A.A., Orka, N.A., Rahman, M.T., Khan, R.T., Kaiser, M.S. and Moni, M.A.},
journal={Advanced Intelligent Systems},
pages={2400495},
year={2025},
publisher={https://advanced.onlinelibrary.wiley.com/doi/abs/10.1002/aisy.202400495}
}
OBoctNet: Enhancing Ophthalmic Biomarker Detection Through Active Learning and Explainable AI in Radiological Analysis.
Md. Zahid Hasan Samya Acharja; Kayes Uddin Fahim Farjana Haque Chamok; Abdullah Al-Mamun Bulbul Taslima Ferdaus Shuva; Md. Tanvir Rahman Risala Tasin Khan; and Mufti Mahmud M. Shamim Kaiser.
Cognitive Computation, 17. 2025.
link
bibtex
@article{samya2025oboctnet,
title={OBoctNet: Enhancing Ophthalmic Biomarker Detection Through Active Learning and Explainable AI in Radiological Analysis},
author={Samya Acharja, Md. Zahid Hasan, Farjana Haque Chamok, Kayes Uddin Fahim, Taslima Ferdaus Shuva, Abdullah Al-Mamun Bulbul, Risala Tasin Khan, Md. Tanvir Rahman, M. Shamim Kaiser, Mufti Mahmud, Mohammad Ali Moni},
journal={Cognitive Computation},
volume={17},
year={2025}
}
Federated XAI IDS: An explainable and safeguarding privacy approach to detect intrusion combining federated learning and SHAP.
Kazi Fatema; Samrat Kumar Dey; Mehrin Anannya; Risala Tasin Khan; Mohammad Mamunur Rashid; Chunhua Su; and Rashed Mazumder.
Future Internet, 17(6): 234. 2025.
link
bibtex
@article{fatema2025federated,
title={Federated XAI IDS: An explainable and safeguarding privacy approach to detect intrusion combining federated learning and SHAP},
author={Fatema, Kazi and Dey, Samrat Kumar and Anannya, Mehrin and Khan, Risala Tasin and Rashid, Mohammad Mamunur and Su, Chunhua and Mazumder, Rashed},
journal={Future Internet},
volume={17},
number={6},
pages={234},
year={2025},
publisher={MDPI}
}
Secure and efficient drug supply chain management system: Leveraging polymorphic encryption, blockchain, and cloud storage integration.
Muammar Shahrear Famous; Samia Sayed; Rashed Mazumder; Risala T Khan; M Shamim Kaiser; Mohammad Shahadat Hossain; Karl Andersson; and Rahamatullah Khondoker.
Cyber Security and Applications, 3: 100103. 2025.
link
bibtex
@article{famous2025secure,
title={Secure and efficient drug supply chain management system: Leveraging polymorphic encryption, blockchain, and cloud storage integration},
author={Famous, Muammar Shahrear and Sayed, Samia and Mazumder, Rashed and Khan, Risala T and Kaiser, M Shamim and Hossain, Mohammad Shahadat and Andersson, Karl and Khondoker, Rahamatullah},
journal={Cyber Security and Applications},
volume={3},
pages={100103},
year={2025},
publisher={Elsevier}
}
Effectiveness of Biologic Therapy in Reducing Acute Exacerbations in Asthma: A Real-world Propensity-matched Analysis.
R Khan; M Khan; and M Rahman.
American Journal of Respiratory and Critical Care Medicine, 211(Abstracts): A1384–A1384. 2025.
link
bibtex
@article{khan2025effectiveness,
title={Effectiveness of Biologic Therapy in Reducing Acute Exacerbations in Asthma: A Real-world Propensity-matched Analysis},
author={Khan, R and Khan, M and Rahman, M},
journal={American Journal of Respiratory and Critical Care Medicine},
volume={211},
number={Abstracts},
pages={A1384--A1384},
year={2025},
publisher={American Thoracic Society}
}
Maximising achievable rate using intelligent reflecting surface in 6G wireless communication systems.
Afrin Jahan Eva; Md Sahal; Rabita Amin; Muhammad RA Khandaker; Risala Tasin Khan; Faisal Tariq; and ASM Ashraf Mahmud.
Applied Sciences, 15(15): 8732. 2025.
link
bibtex
@article{eva2025maximising,
title={Maximising achievable rate using intelligent reflecting surface in 6G wireless communication systems},
author={Eva, Afrin Jahan and Sahal, Md and Amin, Rabita and Khandaker, Muhammad RA and Khan, Risala Tasin and Tariq, Faisal and Mahmud, ASM Ashraf},
journal={Applied Sciences},
volume={15},
number={15},
pages={8732},
year={2025},
publisher={MDPI}
}
Blockchain and InterPlanetary Framework for Decentralized and Secure Electronic Health Record Management.
Samia Sayed; Muammar Shahrear Famous; Rashed Mazumder; Risala Tasin Khan; M Shamim Kaiser; Mohammad Shahadat Hossain; Karl Andersson; and Rahamatullah Khondoker.
Blockchains, 3(4): 12. 2025.
link
bibtex
@article{sayed2025blockchain,
title={Blockchain and InterPlanetary Framework for Decentralized and Secure Electronic Health Record Management},
author={Sayed, Samia and Famous, Muammar Shahrear and Mazumder, Rashed and Khan, Risala Tasin and Kaiser, M Shamim and Hossain, Mohammad Shahadat and Andersson, Karl and Khondoker, Rahamatullah},
journal={Blockchains},
volume={3},
number={4},
pages={12},
year={2025},
publisher={MDPI}
}
COMPARATIVE RISK OF ASTHMA EXACERBATION WITH CARVEDILOL VERSUS METOPROLOL IN HEART FAILURE PATIENTS.
R Khan; and M Rahman.
Annals of Allergy, Asthma & Immunology, 135(5): S46. 2025.
link
bibtex
@article{khan2025comparative,
title={COMPARATIVE RISK OF ASTHMA EXACERBATION WITH CARVEDILOL VERSUS METOPROLOL IN HEART FAILURE PATIENTS},
author={Khan, R and Rahman, M},
journal={Annals of Allergy, Asthma \& Immunology},
volume={135},
number={5},
pages={S46},
year={2025},
publisher={Elsevier}
}
PharmaShield: Optimized Blockchain Framework for Pharma Supply.
Muammar Shahrear Famous; Samia Sayed; Rashed Mazumder; Risala T Khan; M Shamim Kaiser; Mohammad Shahadat Hossain; Karl Andersson; and Rahamatullah Khondoker.
In
2025 IEEE 2nd International Conference on Computing, Applications and Systems (COMPAS), pages 1–12, 2025. IEEE
link
bibtex
@inproceedings{famous2025pharmashield,
title={PharmaShield: Optimized Blockchain Framework for Pharma Supply},
author={Famous, Muammar Shahrear and Sayed, Samia and Mazumder, Rashed and Khan, Risala T and Kaiser, M Shamim and Hossain, Mohammad Shahadat and Andersson, Karl and Khondoker, Rahamatullah},
booktitle={2025 IEEE 2nd International Conference on Computing, Applications and Systems (COMPAS)},
pages={1--12},
year={2025},
organization={IEEE}
}
Secure and efficient drug supply chain management system: Leveraging polymorphic encryption, blockchain, and cloud storage integration.
Muammar Shahrear Famous; Samia Sayed; Rashed Mazumder; Risala T. Khan; M. Shamim Kaiser; Mohammad Shahadat Hossain; Karl Andersson; and Rahamatullah Khondoker.
Cyber Security and Applications, 3: 100103. 2025.
Paper
doi
link
bibtex
abstract
@article{FAMOUS2025100103,
title = {Secure and efficient drug supply chain management system: Leveraging polymorphic encryption, blockchain, and cloud storage integration},
journal = {Cyber Security and Applications},
volume = {3},
pages = {100103},
year = {2025},
issn = {2772-9184},
doi = {https://doi.org/10.1016/j.csa.2025.100103},
url = {https://www.sciencedirect.com/science/article/pii/S2772918425000207},
author = {Muammar Shahrear Famous and Samia Sayed and Rashed Mazumder and Risala T. Khan and M. Shamim Kaiser and Mohammad Shahadat Hossain and Karl Andersson and Rahamatullah Khondoker},
keywords = {Polymorphic encryption, Blockchain, Cloud integration, SCMapp, SCR},
abstract = {The counterfeit medication infiltration within global supply chains poses a major public health threat. To address this, a collaborative effort among governments, regulators, and pharmaceutical companies is essential to secure the global/local supply chain. This paper proposes a novel approach that leverages blockchain technology, polymorphic encryption, and cloud storage to tackle security risks and privacy concerns in medication supply chains. The framework integrates a drug supply chain decentralized application (also called SCMapp) within the Ethereum blockchain, enabling functionalities like secure supplier onboarding, encrypted data management, cloud storage integration, and efficient data retrieval. This approach aims to revolutionize drug supply chain management by enhancing security, transparency, and overall efficiency, ensuring adherence to global health regulations. A safe and effective method for managing drug supply chains is provided by the suggested Drug Supply Chain Management System. The proposed model outperformed existing solutions in terms of security, efficiency, and traceability. The combination of encryption, blockchain, and cloud storage provided a comprehensive approach to address the challenges of drug supply chain management. The comparison analysis highlighted the unique advantages of the proposed model over other methods.}
}
The counterfeit medication infiltration within global supply chains poses a major public health threat. To address this, a collaborative effort among governments, regulators, and pharmaceutical companies is essential to secure the global/local supply chain. This paper proposes a novel approach that leverages blockchain technology, polymorphic encryption, and cloud storage to tackle security risks and privacy concerns in medication supply chains. The framework integrates a drug supply chain decentralized application (also called SCMapp) within the Ethereum blockchain, enabling functionalities like secure supplier onboarding, encrypted data management, cloud storage integration, and efficient data retrieval. This approach aims to revolutionize drug supply chain management by enhancing security, transparency, and overall efficiency, ensuring adherence to global health regulations. A safe and effective method for managing drug supply chains is provided by the suggested Drug Supply Chain Management System. The proposed model outperformed existing solutions in terms of security, efficiency, and traceability. The combination of encryption, blockchain, and cloud storage provided a comprehensive approach to address the challenges of drug supply chain management. The comparison analysis highlighted the unique advantages of the proposed model over other methods.