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  2025 (5)
A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis. onni , S.; and Moni, M. Advanced Intelligent Systems,2400495. 2025.
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OBoctNet: Enhancing Ophthalmic Biomarker Detection Through Active Learning and Explainable AI in Radiological Analysis. Samya Acharja, M. Z. H.; Farjana Haque Chamok, K. U. F.; Taslima Ferdaus Shuva, A. A. B.; Risala Tasin Khan, M. T. R.; and M. Shamim Kaiser, M. M. Cognitive Computation, 17. 2025.
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Federated XAI IDS: An explainable and safeguarding privacy approach to detect intrusion combining federated learning and SHAP. Fatema, K.; Dey, S. K.; Anannya, M.; Khan, R. T.; Rashid, M. M.; Su, C.; and Mazumder, R. Future Internet, 17(6): 234. 2025.
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Secure and Efficient Drug Supply Chain Management System: Leveraging Polymorphic Encryption, Blockchain, and Cloud Storage Integration. Famous, M. S.; Sayed, S.; Mazumder, R.; Khan, R. T; Kaiser, M S.; Hossain, M. S.; Andersson, K.; and Khondoker, R. Cyber Security and Applications,100103. 2025.
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Effectiveness of Biologic Therapy in Reducing Acute Exacerbations in Asthma: A Real-world Propensity-matched Analysis. Khan, R; Khan, M; and Rahman, M American Journal of Respiratory and Critical Care Medicine, 211(Abstracts): A1384–A1384. 2025.
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  2024 (4)
DeepChestGNN: A Comprehensive Framework for Enhanced Lung Disease Identification through Advanced Graphical Deep Features. Rana, S.; and Whaiduzzaman, M. Sensors, 24(9). 2024.
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Bayesian optimized machine learning model for automated eye disease classification from fundus images. Zannah, T. B.; Abdulla-Hil-Kafi, M.; Sheakh, M. A.; Hasan, M. Z.; Shuva, T. F.; Bhuiyan, T.; Rahman, M. T.; Khan, R. T.; Kaiser, M S.; and Whaiduzzaman, M. Computation, 12(9): 190. 2024.
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Genetic insights into the connection between pulmonary TB and non-communicable diseases: An integrated analysis of shared genes and potential treatment targets. Mahjabeen, A.; Hasan, M. Z.; Rahman, M. T.; Islam, M. A.; Khan, R. T.; and Kaiser, M S. Plos one, 19(10): e0312072. 2024.
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GDRNet: A Novel Graph Neural Network Architecture for Diabetic Retinopathy Detection. Hossain, S.; Hasan, M. Z.; Jim, R. I.; Shuva, T. F.; Rahman, M. T.; Bulbul, A. A.; Khan, R. T.; Kaiser, M S.; and Moni, M. A. In 2024 IEEE International Conference on Data Mining Workshops (ICDMW), pages 378–387, 2024. IEEE
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  2023 (9)
Deep Q-Learning Based Resource Allocation in 6G Interference Systems With Outage Constraints. S. Alam, S. I.; and Toding, A. In 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring), Florence, Italy, 2023,, volume 97, pages pp–1, 2023. doi: 10.1109/VTC2023-Spring57618.2023.10200041
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k-Nearest Neighbor Learning for Secure Intelligent Reflecting Surface Design. Chen, Y.; Khandaker, M. R.; Azam, S.; Tariq, F.; and Khan, R. T In The Fourth Industrial Revolution and Beyond: Select Proceedings of IC4IR+, pages 197–211. Springer Nature Singapore Singapore, 2023.
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A comprehensive overview of security and privacy in the 6G era. Zaman, S.; Tariq, F.; Khandaker, M.; and Khan, R. T 6G Wireless,203–258. 2023.
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A Comprehensive Overview of Security and Privacy in the 6G Era. Shakila Zaman, F. T.; and Muhammad R A Khandaker, R. T K. 2023.
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k-Nearest Neighbor Learning for Secure Intelligent Reflecting Surface Design. Chen, Y.; Khandaker, M.; Azam, S.; and Tariq, F. 2023.
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Deep Q-Learning Based Resource Allocation in 6G Interference Systems With Outage Constraints. Saniul Alam, S. I.; Muhammad R. A. Khandaker, R. T. K.; and Faisal Tariq, A. T. In 97th IEEE Vehicular Technology Conference, VTC Spring 2023 Workshop, pages 1–6, 2023.
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Toward Distributed Security Based Healthcare System. Sayed, S.; Shahrear Famous, M.; Ahammad, S.; Hossain, T.; Khan, R. T; and Kaiser, M S. In International Conference on Trends in Computational and Cognitive Engineering, pages 445–458, 2023. Springer Nature Singapore Singapore
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Prediction of Cardiovascular Diseases Using Machine Learning: A Comprehensive Review. Shuva, T. F.; Likhon, N. M.; Rahman, M. T.; and Khan, R. T. In International Conference on Trends in Electronics and Health Informatics, pages 431–442, 2023. Springer Nature Singapore Singapore
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Automated Number Plate Detection and Recognition Using Machine Learning Techniques. Shuva, T. F.; Hasan, N.; Rahman, M. T.; and Khan, R. T. In International Conference on Trends in Electronics and Health Informatics, pages 615–626, 2023. Springer Nature Singapore Singapore
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  2022 (3)
Human face recognition with combination of DWT and machine learning. Tabassum, F.; Islam, M. I.; Khan, R. T.; and Amin, M R. Journal of King Saud University-Computer and Information Sciences, 34(3): 546–556. 2022.
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Thinking out of the blocks: Holochain for distributed security in IoT healthcare. Zaman, S.; Khandaker, M. R.; Khan, R. T; Tariq, F.; and Wong, K. Ieee Access, 10: 37064–37081. 2022.
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Analysis of the correlation between SARS-CoV-2 transmission and meteorological parameters in Bangladesh. Rahaman, M. M.; Khan, R. T; Zaman, S.; and Tanvir, M. J. Health Soc. Sci, 7(3): 337–354. 2022.
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  2021 (3)
A review of contact tracing approaches for controlling COVID-19 pandemic. Rahman, M. T.; Shuva, T. F.; Khan, R. T.; and Nasir, M. K. Glob J Comput Sci Technol, 21(H1): 31–38. 2021.
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Security threats and artificial intelligence based countermeasures for internet of things networks: a comprehensive survey. Zaman, S.; Alhazmi, K.; Aseeri, M. A; Ahmed, M. R.; Khan, R. T.; Kaiser, M S.; and Mahmud, M. Ieee Access, 9: 94668–94690. 2021.
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Facebook Marketing and Its Influence on Consumer Purchase Behaviour in the Context of Bangladesh. Mawa, T. T; Hossain, T.; Rahman, M. T.; Khan, R. T; and Shuva, T. F . 2021.
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  2020 (5)
An automated contact tracing approach for controlling COVID-19 spread based on geolocation data from mobile cellular networks. Rahman, M. T.; Khan, R. T; Khandaker, M. R.; Sellathurai, M.; and Salan, M. S. A Ieee Access, 8: 213554–213565. 2020.
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Voice Assistant and Touch Screen Operated Intelligent Wheelchair for Physically Challenged People. Sayied Haque, M. S.; Tanvir Rahman, M.; Tasin Khan, R.; and Shibli Kaysar, M. In Proceedings of International Conference on Trends in Computational and Cognitive Engineering: Proceedings of TCCE 2020, pages 405–415, 2020. Springer Singapore Singapore
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Recognition of Bangla Handwritten Number Using Combination of PCA and FIS with the Aid of DWT. Khandakar, S.; Islam, M. I.; Tabassum, F.; and Khan, R. T Journal of Computer and Communications, 8(9): 109–125. 2020.
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Towards SDN and blockchain based IoT countermeasures: a survey. Zaman, S.; Kaiser, M S.; Khan, R. T.; and Mahmud, M. In 2020 2nd International Conference on Sustainable Technologies for Industry 4.0 (STI), pages 1–6, 2020. IEEE
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Proceedings of International Conference on Trends in Computational and Cognitive Engineering: Proceedings of TCCE 2020. Kaiser, M S.; Bandyopadhyay, A.; Mahmud, M.; and Ray, K. Volume 1309 Springer Nature, 2020.
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  2019 (4)
WLAN-LTE Integrated Traffic Model under Unlicensed Spectrum. Bulbul Ahammad, R. T. K. International Journal of Computer Science and Information Security (IJCSIS), 17(3): 85–100. 2019.
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Learning the wireless V2I channels using deep neural networks. Li, T.; Khandaker, M. R.; Tariq, F.; Wong, K.; and Khan, R. T In 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall), pages 1–5, 2019. IEEE
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Deep neural network based resource allocation for V2X communications. Gao, J.; Khandaker, M. R.; Tariq, F.; Wong, K.; and Khan, R. T In 2019 IEEE 90th vehicular technology conference (VTC2019-Fall), pages 1–5, 2019. IEEE
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Association between big five personality traits and job performance: A study on sales personnel among the private companies og Bangladesh. Jony, M. T. I.; Akter, S.; and Khan, R International journal of research in human resource management, 1(2): 86–90. 2019.
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  2017 (3)
Efficient sensor-cloud communication using data classification and compression. Rahman, M. T.; Salan, M. S. A.; Shuva, T. F.; and Khan, R. T. International Journal of Information Technology and Computer Science (IJITCS), 9(6): 9–17. 2017.
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Comparative Study of Bayesian and Energy Detection Including MRC Under Fading Environment in Collaborative Cognitive Radio Network. Zaman, S.; Khan, R. T.; and Islam, M. I. International Journal of Advanced Computer Science and Applications, 8(5). 2017.
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Performance Evaluation of Cognitive Radio Network under Matched Filter Detection. Khan, R. T.; Zaman, S.; Islam, M. I.; and Amin, M. In 2017 International Conference on Current Trends in Computer, Electrical, Electronics and Communication (CTCEEC), pages 1196–1201, 2017. IEEE
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  2016 (5)
Performance Evaluation of CognitiveRadio Network under different pathloss models using frequency range of 1900 and 2100 MHz. Sultana, Z.; Khan, R.; and Nahar, L. International Journal of Scientific and Engineering Research, 7: 1144-1149. 06 2016.
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Optimum Access Analysis of Collaborative Spectrum Sensing in Cognitive Radio Network using MRC. Khan, R. T.; Islam, M. I.; Zaman, S.; and Amin, M. IJACSA) International Journal of Advanced Computer Science and Applications, 7(7). 2016.
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Relay selection and beamwidth adaptation to overcome blockage in mm-wave wireless private area network. Saha, A.; Ashrafi, F.; Islam, S.; Khan, R. T.; and Kaiser, M S. In 2016 International Workshop on Computational Intelligence (IWCI), pages 259–263, 2016. IEEE
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Comparison of cyclostationary and energy detection in cognitive radio network. Khan, R. T.; Islam, M. I.; Zaman, S.; and Amin, M R. In 2016 international workshop on computational intelligence (IWCI), pages 165–168, 2016. IEEE
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Medium access probability of cognitive radio network under ecc-33/hata–okumura extended model using different fading channels at 1900 mhz and 2100 mhz. Nahar, L.; Mahbub-Or-Rashid, M.; Akter, S.; and Khan, R. T. Int. J. Comput. Eng. Res., 6(7): 1–6. 2016.
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  2015 (3)
Performance Evaluation of Cognitive Radio Network Based on 2-D Markov Chain. Islam, M. I.; Rabbi, M. F.; Khan, R. T.; and Akhter, J. Journal of Telecommunications and Information Technology, (3): 39–44. 2015.
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Medium Access Probability of Cognitive Radio Network at 1900 MHz and 2100 MHz. Khan, R. T.; Islam, M. I.; and Amin, M. International Journal of Computer Applications, 975: 8887. 2015.
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Automated CV processing along with psychometric analysis in job recruiting process. Ahmed, F.; Anannya, M.; Rahman, T.; and Khan, R. T. In 2015 International Conference on Electrical Engineering and Information Communication Technology (ICEEICT), pages 1–5, 2015. IEEE
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  2014 (3)
Traffic analysis of a cognitive radio network based on the concept of medium access probability. Khan, R. T; Islam, M. I.; and Amin, M R. Journal of Information Processing Systems, 10(4): 602–617. 2014.
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Performance evaluation of cognitive radio network under limited user traffic. Bhuiyan, M. B. H.; Rabbi, M. F.; Khan, R. T.; Akhter, J.; and Islam, M. I. Jahangirnagar University Journal of Electronics and Computer Science, 15: 23–28. 2014.
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Cross-Layer Analytical Model for Cognitive Radio Network under Engset and M/G/1/m Traffic. Kuri, S. K.; Khan, R. T.; and Islam, M. I. Jahangirnagar University Journal of Electronics and Computer Science, 15: 1–5. 2014.
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  2012 (1)
Enhancement of performance of cognitive radio network with incorporation of MRC scheme at secondary receiver. Khan, R. T; Shabnam, T. N.; Islam, M. I.; and Amin, M. IACSIT Int. J. Engine. Technol, 4(4): 495–499. 2012.
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  undefined (3)
Md. Fazlay Rabbi, Risala Tasin Khan, and Jesmin Akhter,‘. Islam, M. I. Performance Evaluation of Cognitive Radio Network Based on,39–44. .
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Comparison of Detection of Bayesian, Match Filter, Wiener Filter and Energy Models of CRN. Khan, R. T.; Islam, M. I.; and Amin, M. . .
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A Comprehensive Overview of Security and Privacy in the 6G Era”, 6G Wireless: The Communication Paradigm Beyond 2030. Shakila Zaman, F. T.; and Muhammad R A Khandaker, R. T K. In CRC Press. Https://doi.org/10.1201/9781003282211, .
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