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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.