Projects per year
Personal profile
Research interests
Engineering; Computer Science; Materials Science; Physics and Astronomy; Mathematics; Chemical Engineering; Medicine; Decision Sciences; Earth and Planetary Sciences; Biochemistry; Genetics and Molecular Biology; Chemistry; Neuroscience;
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Dive into the research topics where IBRAHIM Elfadel 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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KU-UAEU-2023-004 Machine Learning Edge Accelerators for Wearable Health Monitoring Devices
Elfadel, I. (PI) & Jelinek, H. (CoI)
Project: Research
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CIRA-2019-063: Innovative microwave absorption 3D meta-materials based on nanocompsite film
Elfadel, I. (CoI) & Choi, D. (PI)
30/06/19 → 30/11/22
Project: Research
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RC1-C2PS: KU Research Center on Cyber-Physical System ( C2PS)
Mizouni, R. (CoI), Yeun, C. (CoI), Werghi, N. (CoI), Elfadel, I. (CoI), Svetinovic, D. (CoI), Liatsis, P. (CoI), Otrok, H. (CoI), Damiani, E. (PI), Al Marzouqi, H. (CoI), Gebrehiwot, B. T. (CoI), Sanduleanu, M. (CoI), Henschel, A. (CoI), Zemerly, M. (CoI), Sofotasios, P. (CoI), Shoufan, A. (CoI), Alazzam, A. (CoI), Rezeq, M. (CoI), Saleh, H. (CoI) & Al Qutayri, M. (CoI)
30/06/18 → 30/06/23
Project: Research
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A Miniaturized Shoe-Integrated Wearable Sensory System for Continuous Passive Body Weight Monitoring
Arif, A., Muzaffar, S. & Elfadel, I. M., 2025, In: IEEE Sensors Letters. 9, 2, 6001404.Research output: Contribution to journal › Article › peer-review
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Multi-datasets transfer multitask learning for simultaneous blood glucose and blood pressure monitoring using common PPG features
Ali, N. F., Elfadel, I. M. & Atef, M., Sep 2025, In: Computers in Biology and Medicine. 195, 110434.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
PMIL: A Topology Module to Improve MIL-based WSI Classification
Obeid, A., Sohail, A., Boumaraf, S., Liu, X., Javed, S., Almarzouqi, H., Dias, J., Bennamoun, M., Werghi, N. & Elfadel, I., 2025, ISCAS 2025 - IEEE International Symposium on Circuits and Systems, Proceedings. Institute of Electrical and Electronics Engineers Inc., (Proceedings - IEEE International Symposium on Circuits and Systems).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Predicting depression severity using machine learning models: Insights from mitochondrial peptides and clinical factors
Salahudeen, T., Maalouf, M., Elfadel, I. M. & Jelinek, H. F., May 2025, In: PLoS ONE. 20, 5 May, e0320955.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
A Low-Complexity Combined Encoder-LSTM-Attention Networks for EEG-based Depression Detection
Faris Ali, N., Albastaki, N., Nasreddine Belkacem, A., Elfadel, I. M. & Atef, M., 2024, In: IEEE Access. 12, p. 129390-129403 14 p.Research output: Contribution to journal › Article › peer-review
Open Access7 Scopus citations