CV - Hatem Zehir

Education

Doctoral Researcher, LERICA Lab, Badji Mokhtar University, 2022–2025
Conducted PhD research on deep learning-based multimodal biometrics. Built recognition pipelines in TensorFlow and MATLAB, collaborated with cross-disciplinary teams, and published in international journals and conferences.
PRFU Project Member, LERICA Lab, 2022–Present
Contributed to the “Multidimensional Signal Processing: Applications in Biometrics” project. Developed feature extraction algorithms and deep learning evaluation frameworks.

Biometric Systems: Multimodal Fusion (ECG, Voice, Signature), Identity Verification, Authentication Protocols
Research Methods: Experimental Design, Dataset Collection, Performance Evaluation (EER, ROC, FAR/FRR), Academic Writing (LaTeX, IEEE style)
Signal Processing: ECG, Speech, Time–Frequency Analysis, FFT, EMD, MFCC, Spectrograms
Image Processing & Computer Vision: Feature Extraction, Image Enhancement, OpenCV, Deep Feature Learning for Vision
Deep Learning: CNNs, RNNs, LSTM, GRU, Autoencoders, Transfer Learning, Transformers (introductory)
Machine Learning: Classification, Clustering, SVM, Random Forest, Dimensionality Reduction
Frameworks: TensorFlow, Keras, PyTorch
Programming: Python, MATLAB, C, C++, Basic PHP
Research Tools: Git, Linux, LaTeX, Jupyter Notebook
Embedded AI & IoT: TinyML, Edge AI deployment (ESP32, ARM Cortex-M), IoT integration (Thinger.io, MQTT)
Electronics: PCB Design, Power Supply Design, Microcontroller Interfacing (sensors, actuators)

For detailed information, please see the dedicated sections of my website: