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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SDG 3 Good Health and Well-being -
SDG 5 Gender Equality -
SDG 7 Affordable and Clean Energy -
SDG 8 Decent Work and Economic Growth -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 10 Reduced Inequalities -
SDG 11 Sustainable Cities and Communities -
SDG 12 Responsible Consumption and Production -
SDG 13 Climate Action -
SDG 14 Life Below Water
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Collaborations and top research areas from the last five years
Projects
- 2 Finished
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2021 Rainmaker Start-up: Discovering the hidden rules and analytic expressions of machine learning models for kidney disease
De Boer, F. (Principal Investigator/Chief Investigator A), Azam, S. (Co Investigator/Chief Investigator B), Jonkman, M. (Chief Investigator C), Cass, A. (Chief Investigator D), Gorham, G. (Chief Investigator E) & Talukder, M. R. (Chief Investigator F)
18/11/21 → 18/10/22
Project: Research
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Machine Learning Diagnostics System for Bronchiectasis
Azam, S. (Principal Investigator/Chief Investigator A), De Boer, F. (Co Investigator/Chief Investigator B), Jonkman, M. (Chief Investigator C) & Karim, A. (Principal Investigator/Chief Investigator A)
1/07/22 → 31/12/23
Project: Research
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A dual-stage framework for cardiovascular abnormalities diagnosis from ECG signals using CA-GNN and semi-supervised autoencoders
Fahad, N. M., Rahman, M. A., Jakarea, M., Jonkman, M. & Azam, S., Dec 2025, In: Signal, Image and Video Processing. 19, 18, p. 1-10 10 p., 1450.Research output: Contribution to journal › Article › peer-review
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Advancing skin cancer detection integrating a novel unsupervised classification and enhanced imaging techniques
Rahman, M. A., Fahad, N. M., Raiaan, M. A. K., Jonkman, M., De Boer, F. & Azam, S., Apr 2025, In: CAAI Transactions on Intelligence Technology. 10, 2, p. 474-493 20 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile6 Link opens in a new tab Citations (Scopus)111 Downloads (Pure) -
A Low Complexity Efficient Deep Learning Model for Automated Retinal Disease Diagnosis
Chowa, S. S., Bhuiyan, M. R. I., Payel, I. J., Karim, A., Khan, I. U., Montaha, S., Hasan, M. Z., Jonkman, M. & Azam, S., Mar 2025, In: Journal of Healthcare Informatics Research. 9, 1, p. 1-40 40 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile4 Link opens in a new tab Citations (Scopus)46 Downloads (Pure) -
Atrous spatial pyramid pooling with swin transformer model for classification of gastrointestinal tract diseases from videos with enhanced explainability
Abian, A. I., Raiaan, M. A. K., Jonkman, M., Islam, S. M. S. & Azam, S., 15 Jun 2025, In: Engineering Applications of Artificial Intelligence. 150, p. 1-18 18 p., 110656.Research output: Contribution to journal › Article › peer-review
Open AccessFile5 Link opens in a new tab Citations (Scopus)18 Downloads (Pure) -
Cervical spine fracture detection utilizing YOLOv8 and deep attention-based vertebrae classification ensuring XAI
Sutradhar, D., Fahad, N. M., Khan Raiaan, M. A., Jonkman, M. & Azam, S., Mar 2025, In: Biomedical Signal Processing and Control. 101, p. 1-18 18 p., 107228.Research output: Contribution to journal › Article › peer-review
Open AccessFile11 Link opens in a new tab Citations (Scopus)70 Downloads (Pure) -
Corrigendum to “Development of an automated optimal distance feature-based decision system for diagnosing knee osteoarthritis using segmented X-ray images” (Heliyon, (2023), 9, 11, (e21703), (S2405844023089119), 10.1016/j.heliyon.2023.e21703)
Fatema, K., Rony, M. A. H., Azam, S., Mukta, M. S. H., Karim, A., Hasan, M. Z. & Jonkman, M., Oct 2025, In: Heliyon. 11, 15, p. 1-2 2 p., e43925.Research output: Contribution to journal › Comment/debate › peer-review
Open AccessFile1 Downloads (Pure) -
Diffusion-based knowledge distillation for effective multi-organ segmentation with reduced computational time
Raiaan, M. A. K., Rahman, M. A., Azam, S., Yeo, K. C., Sebastian, Y. & Jonkman, M., Nov 2025, In: Computers in Biology and Medicine. 198, p. 1-14 14 p., 111265.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Link opens in a new tab Citation (Scopus)1 Downloads (Pure)