Research output per year
Research output per year
Personal profile
Research interests
My main areas of research are biomedical engineering and health informatics with an emphasis on signal processing and machine learning (ML) for biosystems.
Of particular interest are practical applications, with an emphasis on prediction, detection and modelling of abnormalities in biomedical systems, such as the binaural hearing system using EEG signals, cancer image detection and chronic kidney disease.
I have also applied AI and ML techniques to cyber security issues.
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Addressing the Challenges of Electronic Health Records Using Blockchain and IPFS
Pilares, I. C. A., Azam, S., Akbulut, S., Jonkman, M. & Shanmugam, B., 1 Jun 2022, In: Sensors. 22, 11, p. 1-43 43 p., 4032.Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Downloads (Pure) -
An effective approach to address processing time and computational complexity employing modified CCT for lung disease classification
Khan, I. U., Azam, S., Montaha, S., Mahmud, A. A., Rafid, A. K. M. R. H., Hasan, M. Z. & Jonkman, M., Nov 2022, In: Intelligent Systems with Applications. 16, p. 1-17 17 p., 200147.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Downloads (Pure) -
A Robust Framework Combining Image Processing and Deep Learning Hybrid Model to Classify Cardiovascular Diseases Using a Limited Number of Paper-Based Complex ECG Images
Fatema, K., Montaha, S., Rony, M. A. H., Azam, S., Hasan, M. Z. & Jonkman, M., Nov 2022, In: Biomedicines. 10, 11, p. 1-27 27 p., 2835.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
A shallow deep learning approach to classify skin cancer using down-scaling method to minimize time and space complexity
Montaha, S., Azam, S., Rafid, A. K. M. R. H., Islam, S., Ghosh, P. & Jonkman, M., 4 Aug 2022, In: PLoS One. 17, 8 August, p. 1-49 49 p., e0269826.Research output: Contribution to journal › Article › peer-review
Open AccessFile26 Downloads (Pure) -
MNet-10: A robust shallow convolutional neural network model performing ablation study on medical images assessing the effectiveness of applying optimal data augmentation technique
Montaha, S., Azam, S., Rafid, A. K. M. R. H., Hasan, M. Z., Karim, A., Hasib, K. M., Patel, S. K., Jonkman, M. & Mannan, Z. I., 16 Aug 2022, In: Frontiers in Medicine. 9, p. 1-27 27 p., 924979.Research output: Contribution to journal › Article › peer-review
Open AccessFile