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. (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
Research output
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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 AccessFile10 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 AccessFile2 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 AccessFile1 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 AccessFile25 Downloads (Pure) -
ECgMLP: A novel gated MLP model for enhanced endometrial cancer diagnosis
Sheakh, M. A., Azam, S., Tahosin, M. S., Karim, A., Montaha, S., Fahim, K. U., Shafiabady, N., Jonkman, M. & De Boer, F., Jan 2025, In: Computer Methods and Programs in Biomedicine Update. 7, p. 1-18 18 p., 100181.Research output: Contribution to journal › Article › peer-review
Open AccessFile103 Downloads (Pure) -
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 AccessFile1 Citation (Scopus)247 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 AccessFile1 Citation (Scopus)30 Downloads (Pure)