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Hatem Zehir

PhD in Biometrics

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Publications

Journal Articles
2026
Bacteria In Blood Identification Using Electronic Nose Data Based On LSTM And BiLSTM Deep Neural Network Models
Sedhane, M., Hafs, T., Daas, S., & Zehir, H.
Advances in Electrical and Electronic Engineering – Download
2025
ABO-BTI: An Open-Source ABO Blood Typing Image dataset for Medical AI Applications
Daas, S., Zehir, H., Chebli, A., Hafs, T., & Hadef, C.
Advances in Electrical and Electronic Engineering – Download
2025
EMD based biometric identification system from electrocardiogram signals using GRU neural networks
Zehir, H., Hafs, T., Daas, S., & Nait-ali, A.
Multimedia Tools and Applications – Download
2025
Unifying Heartbeats and Vocal Waves: An Approach to Multimodal Biometric Identification At the Score Level
Zehir, H., Hafs, T., & Daas, S.
Arabian Journal for Science and Engineering – Download
2025
Hardware-Optimised CNN Architecture for ECG Biometric Identification on Embedded Systems
Zehir, H., Hafs, T., & Daas, S.
International Journal of Signal and Imaging Systems Engineering – Download
2024
Empirical mode decomposition-based biometric identification using GRU and LSTM deep neural networks on ECG signals
Zehir, H., Hafs, T., & Daas, S.
Evolving Systems, 15(6), 2193-2209 – Download
2024
Involutional neural networks for ECG spectrogram classification and person identification
Zehir, H., Hafs, T., & Daas, S.
International Journal of Signal and Imaging Systems Engineering, 13(1), 41-53 – Download
2024
Enhancing Recognition in Multimodal Biometric Systems: Score Normalization and Fusion of Online Signatures and Fingerprints
Hafs, T., Zehir, H., Hafs, A., Brahmia, H., & Nait-Ali, A.
Science and Technology, 27(1), 37-49 – Download
2023
Multimodal Biometric System Based on the Fusion in Score of Fingerprint and Online Handwritten Signature
Hafs, T., Zehir, H., Hafs, A., & Nait-Ali, A.
Applied Computer Systems, 28(1), 58-65 – Download
2023
Support vector machine for human identification based on non-fiducial features of the ECG
Zehir, H., Hafs, T., Daas, S., & Nait-ali, A.
Journal of Engineering Studies and Research, 29(1), 61-69 – Download
Conference Papers
November 2023
TinyCNN: An Embedded CNN Model for Speaker Identification Using ESP32
Zehir, H., Hafs, T., & Daas, S.
1st International Conference on Electrical Engineering & Renewable Energies Systems – Paper | Slides
October 2023
ECG-Based Biometric System using TinyML: Implementation and Performance Evaluation on ESP32
Zehir, H., Hafs, T., & Daas, S.
ICAECCT23: 1st International Conference on Advances in Electronics, Control and Computer Technologies – Paper | Slides
September 2023
Healthcare Decision-Making with an ECG-Based Biometric System
Zehir, H., Hafs, T., & Daas, S.
International Conference on Decision Aid Sciences and Applications (DASA), IEEE, pp. 88-92 – Paper | Slides
May 2023
Edge Based Online Signature Identification: A TinyML Approach with ESP32 Microcontroller
Zehir, H., Hafs, T., & Daas, S.
Fourth International Conference on Technological Advances in Electrical Engineering – Paper
June 2023
An ECG biometric system based on empirical mode decomposition and Hilbert-Huang transform for improved feature extraction
Zehir, H., Hafs, T., Daas, S., & Nait-ali, A.
5th International Conference on Bio-engineering for Smart Technologies (BioSMART), IEEE, pp. 1-4 – Paper
December 2022
Bidirectional Long Short-term Memory Neural Networks Based Electrocardiogram Biometric System
Zehir, H., Hafs, T., & Daas, S.
5th International Conference on Embedded Systems in Telecommunications and Instrumentation – Paper

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 including Multimedia Tools and Applications, Arabian Journal for Science and Engineering, and Evolving Systems, as well as IEEE conferences. He also serves as a peer reviewer for Scientific Reports and BMC Cardiovascular Disorders.

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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