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Hosameldin Ahmed

Hosameldin Ahmed is a Research Fellow and data scientist specializing in multimodal medical imaging, artificial intelligence, extended reality technologies, and big data analytics. He holds a PhD in Electronic and Computer Engineering from Brunel University London and has published several book chapters and a research monograph on condition monitoring with vibration signals. His work bridges machine learning, signal processing, and clinical applications in healthcare.

Artificial Intelligence Medical Imaging Data Analytics Signal Processing
Condition Monitoring with Vibration Signals: Compressive Sampling and Learning Algorithms for Rotating Machines (IEEE Press)
Condition Monitoring with Vibration Signals: Compressive Sampling and Learning Algorithms for Rotating Machines (IEEE Press)
2019