Projects per year
Personal profile
Research interests
Computer Science; Medicine; Engineering; Biochemistry
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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Dive into the research topics where Ahsan Habib Khandoker is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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CIRA-2021-051 NOMAD study: Non-invasive Monitoring using Artificial-Intelligence during Dialysis
Khandoker, A. H. (PI) & Corridon, P. (CoI)
1/07/22 → 30/11/25
Project: Research
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RIG-2024-013 [Taha] - Advancing Cancer Diagnostics: Discovery and Validation of Novel Biomarkers for Early Detection
Yeun, C. (CoI), Khandoker, A. H. (CoI), Al Homouz, D. (CoI) & Taha, K. (PI)
Project: Research
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DENTAPNEA: Design of a low-power wireless dental mouthpiece to assess genioglossal muscle activity in obstructive sleep apnea patients at wakefulness and during sleep
Khandoker, A. H. (PI), Baltatu, O.-C. (CoI) & Saleh, H. (CoI)
1/07/21 → 30/06/24
Project: Research
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DENTAPNEA: Design of a low-power wireless dental mouthpiece to assess genioglossal muscle activity in obstructive sleep apnea patients at wakefulness and during sleep
Khandoker, A. H. (PI), Saleh, H. (CoI) & Khraibi, A. A. (CoI)
1/07/21 → 30/06/24
Project: Research
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CIRA-2020-031- OsteoMentor: An intelligent personalized virtual mentor for long-term self-management of osteoporosis
Hadjileontiadis, L. (PI) & Khandoker, A. H. (CoI)
1/07/20 → 30/11/23
Project: Research
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A deep learning framework for noninvasive fetal ECG signal extraction
Wahbah, M., Zitouni, M. S., Al Sakaji, R., Funamoto, K., Widatalla, N., Krishnan, A., Kimura, Y. & Khandoker, A. H., 2024, In: Frontiers in Physiology. 15, 1329313.Research output: Contribution to journal › Article › peer-review
Open Access -
Author Correction: A machine learning driven nomogram for predicting chronic kidney disease stages 3–5 (Scientific Reports, (2023), 13, 1, (21613), 10.1038/s41598-023-48815-w)
Ghosh, S. K. & Khandoker, A. H., Dec 2024, In: Scientific Reports. 14, 1, 1317.Research output: Contribution to journal › Comment/debate
Open Access -
Circadian assessment of heart failure using explainable deep learning and novel multi-parameter polar images
Alkhodari, M., Khandoker, A. H., Jelinek, H. F., Karlas, A., Soulaidopoulos, S., Arsenos, P., Doundoulakis, I., Gatzoulis, K. A., Tsioufis, K. & Hadjileontiadis, L. J., May 2024, In: Computer Methods and Programs in Biomedicine. 248, 108107.Research output: Contribution to journal › Article › peer-review
Open Access -
Identification of Congenital Valvular Murmurs in Young Patients Using Deep Learning-Based Attention Transformers and Phonocardiograms
Alkhodari, M., Hadjileontiadis, L. J. & Khandoker, A. H., 1 Apr 2024, In: IEEE Journal of Biomedical and Health Informatics. 28, 4, p. 1803-1814 12 p.Research output: Contribution to journal › Article › peer-review
Open Access4 Scopus citations -
Investigation on explainable machine learning models to predict chronic kidney diseases
Ghosh, S. K. & Khandoker, A. H., Dec 2024, In: Scientific Reports. 14, 1, 3687.Research output: Contribution to journal › Article › peer-review
Open Access8 Scopus citations