Projects 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.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
Projects
- 1 Finished
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Machine Learning Diagnostics System for Bronchiectasis
Azam, S., De Boer, F., Jonkman, M. & Karim, A.
1/07/22 → 31/12/23
Project: Research
Research output
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Artificial Intelligence-driven Advancements in Otitis Media Diagnosis: A Systematic Review
Rony, M. A. H., Fatema, K., Raiaan, M. A. K., Hassan, M. M., Azam, S., Karim, A., Jonkman, M., Beissbarth, J., Boer, F. D., Islam, S. M. S. & Leach, A., 26 Jul 2024, In: IEEE Access. 12, p. 99282-99307 26 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile48 Downloads (Pure) -
Malignancy pattern analysis of breast ultrasound images using clinical features and a graph convolutional network
Montaha, S., Azam, S., Bhuiyan, M. R. I., Chowa, S. S., Mukta, M. S. H. & Jonkman, M., 1 Jan 2024, In: Digital Health. 10, p. 1-27 27 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile18 Downloads (Pure) -
Methods for Detection and Measurement of Potential Broncho-Arterial Pairs in Chest Computed Tomography Scans of Children
Beeravolu, A., Azam, S., Jonkman, M., Brent Masters, I., Thomas, R. J., Chang, A. B., McCallum, G. B. & Boer, F. D., 11 Jan 2024, In: IEEE Access. 12, p. 4730-4744 15 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile61 Downloads (Pure) -
Reimagining otitis media diagnosis: A fusion of nested U-Net segmentation with graph theory-inspired feature set
Azam, S., Hossain Rony, M. A., Raiaan, M. A. K., Fatema, K., Karim, A., Jonkman, M., Beissbarth, J., Leach, A. & De Boer, F., Sept 2024, In: Array. 23, p. 1-25 25 p., 100362.Research output: Contribution to journal › Article › peer-review
Open AccessFile5 Downloads (Pure) -
SkinNet-14: a deep learning framework for accurate skin cancer classification using low-resolution dermoscopy images with optimized training time
Al Mahmud, A., Azam, S., Khan, I. U., Montaha, S., Karim, A., Haque, A., Zahid Hasan, M., Brady, M., Biswas, R. & Jonkman, M., Oct 2024, In: Neural Computing and Applications. 36, 30, p. 18935-18959 25 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile2 Downloads (Pure)