Dr. Md. Ashraf Uddin
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Dr. Md. Ashraf Uddin

Associate Professor
Department of Computer Science and Engineering, Jagannath University, Dhaka, Bangladesh


Highest Degree
Ph.D. in Information Technology from Federation University Australia, Ballarat, Australia

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Area of Interest:

Computer Sciences
100%
Cybersecurity
62%
Information Technology
90%
Machine Learning
75%
Remote Sensing
55%

Research Publications in Numbers

Books
0
Chapters
2
Articles
43
Abstracts
17

Selected Publications

  1. Talukder, M.A., M. Manowarul Islam, M. Ashraf Uddin, A. Akhter and M.A.J. Pramanik et al., 2023. An efficient deep learning model to categorize brain tumor using reconstruction and fine-tuning. Expert Syst. Appl., Vol. 230. 10.1016/j.eswa.2023.120534.
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  2. Talukder, M.A., K.F. Hasan, M. Manowarul Islam, M. Ashraf Uddin and A. Akhter et al., 2023. A dependable hybrid machine learning model for network intrusion detection. J. Inf. Secur. Appl., Vol. 72. 10.1016/j.jisa.2022.103405.
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  3. Halder, R.K., M. Nasir Uddin, M. Ashraf Uddin, S. Aryal and M. Aminul Islam et al., 2023. A grid search-based multilayer dynamic ensemble system to identify DNA N4-methylcytosine using deep learning approach. Genes, Vol. 14. 10.3390/genes14030582.
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  4. Ahamed, M.K.U., M. Manowarul Islam, M. Ashraf Uddin, A. Akhter, U.K. Acharjee, B.K. Paul and M.A. Moni, 2023. DTLCx: An improved resnet architecture to classify normal and conventional pneumonia cases from COVID-19 instances with Grad-CAM-based superimposed visualization utilizing chest X-ray images. Diagnostics, Vol. 13. 10.3390/diagnostics13030551.
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  5. Uzzol Hossain, M., M. Ataur Rahman, M. Manowarul Islam, A. Akhter, M. Ashraf Uddin and B.K. Paul, 2022. Automatic driver distraction detection using deep convolutional neural networks. Intell. Syst. Appl., Vol. 14. 10.1016/j.iswa.2022.200075.
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  6. Talukder, M.A., M. Manowarul Islam, M. Ashraf Uddin, A. Akhter, K.F. Hasan and M.A. Moni, 2022. Machine learning-based lung and colon cancer detection using deep feature extraction and ensemble learning. Expert Syst. Appl., Vol. 205. 10.1016/j.eswa.2022.117695.
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  7. Shafiur Rahman, M., M. Amirul Islam, M. Ashraf Uddin and G. Stea, 2022. A survey of blockchain-based IoT eHealthcare: Applications, research issues, and challenges. Internet Things, Vol. 19. 10.1016/j.iot.2022.100551.
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  8. Nasrullah, T.M., M. Manowarul Islam, M. Ashraf Uddin, M.A. Khan, M. Abu Layek, A. Stranieri and E.N. Huh, 2022. Device agent assisted blockchain leveraged framework for internet of things. IEEE Access, 11: 1254-1268.
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  9. Ghose, P., M. Ashraf Uddin, U.K. Acharjee and S. Sharmin, 2022. Deep viewing for the identification of Covid-19 infection status from chest X-Ray image using CNN based architecture. Intell. Syst. Appl., Vol. 16. 10.1016/j.iswa.2022.200130.
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  10. Ghose, P., M. Alavi, M. Tabassum, M. Ashraf Uddin and M. Biswas et al., 2022. Detecting COVID-19 infection status from chest X-ray and CT scan via single transfer learning-driven approach. Front. Genet., Vol. 13. 10.3389/fgene.2022.980338.
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  11. Acharjee, U.K., Minhazul Arefin, K.M. Hossen, M. Nasir Uddin, M. Ashraf Uddin and L. Islam, 2022. Sequence-to-sequence learning-based conversion of pseudo-code to source code using neural translation approach. IEEE Access, 10: 26730-26742.
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  12. Shafiur Rahman, M., S. Halder, M. Ashraf Uddin and U.K. Acharjee, 2021. An efficient hybrid system for anomaly detection in social networks. Cybersecur, Vol. 4. 10.1186/s42400-021-00074-w.
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  13. Ashraf Uddin, M., S. Barua, S.T. Nishi, J. Karmaker and M.J. Ahmed et al., 2021. Viscometric studies of molecular interactions in binary mixtures of ethylbenzene with (C4 to C8) Alkan-1-ols. J. Mol. Liq., Vol. 337. 10.1016/j.molliq.2021.116457.
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  14. Ashraf Uddin, M., M. Abdul Rub, S. Mahbub, M.F. Hossain and S. Rana et al., 2021. The complexation of levofloxacin hemihydrate with divalent metal ions in aqueous medium at variable temperatures: Combined UV-visible spectroscopic and DFT studies. J. Mol. Liq., Vol. 344. 10.1016/j.molliq.2021.117916.
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  15. Ashraf Uddin, M., A. Stranieri, I. Gondal and V. Balasubramanian, 2021. A survey on the adoption of blockchain in IoT: Challenges and solutions. Blockchain: Res. Appl., Vol. 2. 10.1016/j.bcra.2021.100006.
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  16. Ahmed, N., R. Ahammed, M. Manowarul Islam, M. Ashraf Uddin, A. Akhter, M.A. Talukder and B.K. Paul, 2021. Machine learning based diabetes prediction and development of smart web application. Int. J. Cognit. Comput. Eng., 2: 229-241.
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  17. Ahamed, K.U., Manowarul Islam, Ashraf Uddin, A. Akhter and B.K. Paul et al., 2021. A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-scan and X-ray images. Comput. Biol. Med., Vol. 139. 10.1016/j.compbiomed.2021.105014.
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  18. Ashraf Uddin, M., A. Stranieri, I. Gondal and V. Balasubramanian, 2020. Rapid health data repository allocation using predictive machine learning. Health Inf. J., 26: 3009-3036.
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  19. Ashraf Uddin, M., A. Stranieri, I. Gondal and V. Balasubramanian, 2020. Blockchain leveraged decentralized IoT eHealth framework. Internet Things, Vol. 9. 10.1016/j.iot.2020.100159.
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