Fiche de BOURENNANE El-Bay

picture_member_thumbnail
BOURENNANE El-Bay
PR
Adresse 9 avenue Alain Savary - Bâtiment Mirande
Localisation Bâtiment Mirande - Aile D - Bureau D422
Tel. 03 80 39 59 99
E-mail ebourenn@u-bourgogne.fr
  • Publications
  • Axes de recherche
Publications
Charles Norgbe, Mahdi Madani, El-Bay Bourennane. Privacy-Preserving for Medical Images Using Cryptosystem and Convolutional Autoencoder. 2025 9th International Conference on Computer, Software and Modeling (ICCSM), Jul 2025, Rome, Italy. pp.40-45, ⟨10.1109/ICCSM66818.2025.00015⟩. ⟨hal-05575343⟩
Muhammad Ismail, Daniel Tadros, Mahdi Madani, El-Bay Bourennane. Design and Implementation of a Deep Learning Embedded Cryptosystem for IoT Applications. 2025 9th International Conference on Computer, Software and Modeling (ICCSM), Jul 2025, Rome, Italy. pp.21-27, ⟨10.1109/ICCSM66818.2025.00012⟩. ⟨hal-05575333⟩
Safia Rouabah, Mohamed Skandr Daas, Mohamed Abdelhafid Hamidechi, Salim Chikhi, El-Bay Bourennane. Regression Models for Estimating Similarity Score of the Optimal Expected Multiple Sequence Alignments. IEEE Access, 2025, 13, pp.211883-211900. ⟨10.1109/ACCESS.2025.3643739⟩. ⟨hal-05456145⟩
Mohamed Skander Daas, Safia Rouabah, Khaled Boulahrouf, Salim Chikhi, El-Bay Bourennane. Quantitative Modeling and Evaluation of DNA Multiple Sequence Alignment Tools Through Response Surface Methodology. Modeling, Simulation and Computer Technology, Nov 2024, Skikda, Algeria. pp.440-451, ⟨10.1007/978-3-032-01922-6_36⟩. ⟨hal-05456108⟩
Mehdi Baali, Nadjla Bourbia, Kamel Messaoudi, El-Bay Bourennane. Efficient deep learning approach for brain tumor detection and segmentation based on advanced CNN and U-Net. Indonesian Journal of Electrical Engineering and Computer Science, 2025, 37 (2), pp.1365. ⟨10.11591/ijeecs.v37.i2.pp1365-1375⟩. ⟨hal-05456085⟩
Mahdi Madani, El-Bay Bourennane. Visually Image Encryption and Compression Using a CNN-Based Auto Encoder. International Journal of Computer Networks & Communications , 2025, ⟨10.48550/arXiv.2504.00497⟩. ⟨hal-05456056⟩
Rania Boukhenoun, Kamel Messaoudi, El‐bay Bourennane. Real-Time Emotion Detection: A Comparative Study of traditional ML and advanced DL Models in Streamlit Application for Natural Language Processing. 2025 7th International Conference on Pattern Analysis and Intelligent Systems (PAIS), IEEE, Apr 2025, Laghouat, Algeria. pp.1-6, ⟨10.1109/PAIS66004.2025.11126507⟩. ⟨hal-05456038⟩
Boussad Idjeri, Mourad Laghrouche, El-Bay Bourennane. Advanced Calibration of Multisystem Hot-Wire Anemometers Using PID Temperature Control and ANN Techniques. IEEE Sensors Journal, 2025, 25 (19), pp.37007-37016. ⟨10.1109/JSEN.2025.3599328⟩. ⟨hal-05455992⟩
Walid Bensalmi, Ahmed Belhani, Abdellatif Bouzid-Daho, El-Bay Bourennane, Mahdi Madani. Performance evaluation of MPPT algorithms for PV system under real operating conditions. Revue des Energies Renouvelables, 2025, pp.35-49. ⟨10.54966/jreen.v28i5.1541⟩. ⟨hal-05455940⟩
Rania Boukhenoun, Hakim Doghmane, Kamel Messaoudi, El-Bay Bourennane. Comparative Analysis of CNN Performances Using CIFAR-100 and MNIST Databases: GPU vs. CPU Efficiency. Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering), 2025, 18 (10), ⟨10.2174/0123520965348453250226080233⟩. ⟨hal-05455925⟩
Axes de recherche

Calcul embarqué (microprocesseur et FPGA) pour le traitement du signal et de l’image

  • Expertise en calcul embarqué sur microprocesseur
  •  Expertise en calcul embarqué sur FPGA
  •  Application des IoT pour l’agriculture intelligeante
  •  Comptage de personnes dans des foules denses
  •  Deep learning (apprentissage profond)

Projets :

  • Thèse de doctorat industrielle, soutenue, avec l’entreprise chinoise «China Lian Chuang Company» qui a porté sur le comptage de personnes dans une foule à partir d’un drone
  •   Thèse de doctorat, soutenue, sur l’application des IoT pour une agriculture Intelligente