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Ebrahim Ali

Ebrahim Ali

Postdoctoral Research Fellow at Carleton University

Talent
OttawaMember since June 21, 2026
PyTorchVision transformersKolmogorov-Arnold networksSelf-supervised learningFederated and decentralized learningTransfer learningUltrasound imagingPhonocardiogram (PCG)Fluorescence imagingThermographySpectral decompositionImage segmentationFeature extractionLiDAR-camera fusionRadar signal processingTensorFlowEnsemble methodsECGMultimodal data fusion
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PyTorchVision transformersKolmogorov-Arnold networksSelf-supervised learningFederated and decentralized learning

About

Cardiovascular AI, Medical image analysis (ultrasound, CT, MRI, fluorescence imaging), Multimodal biomedical data fusion, Deep learning and transformer architectures for healthcare, Physiological signal processing (ECG, phonocardiogram, wearable sensors), Foundation models and self-supervised learning for clinical applications, AI safety, explainability, and fairness in healthcare, Translational AI and real-world clinical deployment, Time-series analysis, Federated and decentralized learning for medical data.

Experience

Part-time Research Assistant - Natural Resources Canada (NRC) - Canada

(2025-01)

Postdoctoral Research Fellow, Dept. of Systems and Computer Engineering - Carleton University - Ottawa, Canada

(2025-01)

Supervisor: Prof. Dr. Sreeraman Rajan.

  • Leading independent research on AI-driven classification and analysis of multimodal biomedical signals and images, including phonocardiogram signals, ultrasound imaging, and ECG data.
  • Developing reproducible deep learning pipelines for medical signal processing and contributing to peer-reviewed publications and grant applications.

Doctoral Research Assistant, Dept. of Systems and Computer Engineering - Carleton University - Ottawa, Canada

(2021-01 - 2025-12)

Supervisor: Prof. Dr. Sreeraman Rajan.

  • Conducted PhD research on AI and machine learning methods for healthcare applications across multiple medical imaging and physiological signal modalities.
  • Developed state-of-the-art deep learning models for heart sound classification (PCG), ultrasound breast cancer detection, COVID-19 detection from lung ultrasound video, ECG-based analysis, fluorescence imaging for brain surgery guidance, and postural sway classification from wearable sensors.
  • Built end-to-end pipelines spanning data curation, model training, evaluation, and validation.
  • Co-supervised junior researchers and collaborated on interdisciplinary federally-funded projects.

Research Assistant, Dept. of Systems and Biomedical Engineering & Dept. of Mathematics - Cairo University - Egypt

(2014-01 - 2017-12)

  • Conducted M.Sc. thesis research on spectral decomposition operators and their applications in biomedical image processing.
  • Co-authored multiple peer-reviewed publications in image processing and medical imaging.

Lecturer / Teaching Assistant, Biomedical Engineering Dept. - Community College - Taiz, Yemen

(2013-01 - 2014-12)

  • Delivered instruction in electronic circuits, logic design, measurements, and computer vision.

Education

Ph.D. - Electrical and Computer Engineering - Carleton University (2021-01 - 2025-12)

M.Sc. - Biomedical Engineering (Image Processing) - Cairo University (2014-01 - 2018-12)

B.Sc. - Biomedical Engineering - Cairo University (2008-01 - 2013-12)

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