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Hatem Zehir

PhD in Biometrics

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Biomedical Signal Processing

Porting the Pan-Tompkins Algorithm to Python

Posted on August 1, 2026August 15, 2026 by Hatem Zehir

The electrocardiogram (ECG) is one of the most information-rich signals in clinical medicine. Buried inside its characteristic waveform is the QRS complex (the sharp spike that marks each ventricular contraction) and detecting it reliably is the foundation of almost every automated cardiac analysis tool in existence, from hospital monitors to smartwatches. For 40 years, the…

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About Me

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Hatem Zehir is a researcher with a PhD in Biometrics. His research sits at the intersection of deep learning, signal and image processing, and biometric systems, with a focus on ECG-based person identification, multimodal fusion, and the deployment of AI on embedded and edge platforms using TinyML.

His work addresses real-world challenges across biomedical and healthcare systems, security and identity verification, and edge intelligence, and has been published in Q1/Q2 journals as well as IEEE conferences. He also serves as a peer reviewer in multiple journals.

Alongside his research, he held a temporary teaching position at Badji Mokhtar University, where he lectured and instructed courses in image processing, artificial intelligence, signal processing, and programming.

He is currently seeking a postdoctoral position in biometrics, AI, or related fields.

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