| 2025 | KES | A statistical 3D watermarking method based on logistic chaotic scrambling system. | Nassima Medimegh, Hela Haj Mohamed, Samir Belaid, Naoufel Werghi |
| 2025 | KES | Graph Representation Learning on 3D Mesh-Based Protein Structures. | Najla Zayani, Nassima Medimegh, Hela Haj Mohamed, Samir Belaid |
| 2022 | ICCCI | RingNet: Geometric Deep Representation Learning for 3D Multi-domain Protein Shape Retrieval. | Hela Haj Mohamed, Samir Belaid, Wady Naanaa |
| 2022 | KES | Deep Cardiac Telemonitoring for Clinical Cloud Healthcare Applications. | Samir Belaid, Jamel Hattay, Hela Haj Mohamed, Rim Rezgui |
| 2022 | KES | Convexity aware Signed Graph Convolutional Neural Network for 3D Object Retrieval. | Hela Haj Mohamed, Samir Belaid, Wady Naanaa |
| 2021 | SAC | Deep sparse dictionary-based representation for 3D non-rigid shape retrieval. | Hela Haj Mohamed, Samir Belaid, Wady Naanaa, Lotfi Ben Romdhane |
| 2017 | AICCSA | Content-Based Retrieval of 3D Non Rigid Object with Sparse Representations and Local Feature Descriptors: A Comparative Study. | Hela Haj Mohamed, Samir Belaid, Wady Naanaa, Lotfi Ben Romdhane |
| 2016 | ATSIP | Statistical robust watermarking for 3D mesh models based on salient points. | Nassima Medimegh, Samir Belaid, Mohamed Atri, Naoufel Werghi |
| 2016 | SAC | Multiscale convolutive blind source separation in wavelet transform domain. | Jamel Hattay, Samir Belaid, Wady Naanaa, Taoufik Aguili |