🎓 Final-year engineering student at ENSTA – Institut Polytechnique de Paris (Conception des Systèmes Numériques)
🔬 Currently completing a 6-month R&D internship at IFP Énergies Nouvelles (Lyon) — working on anomaly detection in industrial time series via computer vision
🎯 Looking for R&D engineering positions in AI & Computer Vision starting October 2026
📄 2 peer-reviewed IEEE publications (ICABME 2025, ETECOM 2025)
📫 Reach me at shakib.youssef@outlook.com
Unsupervised anomaly detection on industrial time series via computer vision
- Signal-to-image encoding (GADF, GASF, MTF) for multivariate sensor data
- Convolutional autoencoders for unsupervised fault detection
- Sensor-level fault localization via GradCAM & LRP explainability
- Validated on Tennessee Eastman Process benchmark + real industrial pilot data
| Period | Role | Organization |
|---|---|---|
| 🟢 Mar. 2026 – present | R&D Intern — Computer Vision & Anomaly Detection | IFP Énergies Nouvelles |
| 🔵 May – Sep. 2025 | R&D Intern — Depth Cameras & Pose Estimation | Ivanae Medical / LaTIM |
| 🔵 Dec. 2023 – Jun. 2024 | AI Engineer — License Plate Detection | RODOK SARL |
| 🔵 May – Aug. 2023 | AI Engineer — Cardiac Signal Classification | Together for Chehim |
|
ENSTA · 2025–2026 CheXNet & PYLON models with Grad-CAM, Grad-CAM++, LRP, Integrated Gradients for explainable medical AI |
Personal project · 2024–2025 Transformer U-Net on multimodal MRI — improved accuracy on WT, TC, ET subregions |
|
ENSTA · 2024–2025 Real-time detection & tracking: YOLOv10 + DeepSORT pipeline on multi-stream video |
Université Libanaise · 2024 EEG signal processing, noise reduction & ML classification for BCI applications |
| # | Title | Venue | Link |
|---|---|---|---|
| 1 | Evaluating the Impact of EMD-Derived Intrinsic Mode Functions on Atrial Fibrillation Detection | ICABME 2025 | IEEE |
| 2 | A Data-Augmented Deep Hybrid Model for Atrial Fibrillation Detection | ETECOM 2025 | IEEE |
📋 Full breakdown
| Domain | Technologies |
|---|---|
| AI & Vision | PyTorch · TensorFlow · OpenCV · MediaPipe · YOLO · scikit-learn |
| Data | NumPy · Pandas · Matplotlib · Seaborn |
| Languages | Python · C/C++ · Java · JavaScript · LaTeX |
| Tools | Git · Linux · Docker · VS Code · Google Colab |
| Spoken | 🇫🇷 French (B2) · 🇬🇧 English (TOEIC 940) · 🇱🇧 Arabic (native) |
| Period | Degree | Institution |
|---|---|---|
| 2024 – 2026 | Engineering Diploma — Digital Systems Design | ENSTA – IP Paris |
| 2021 – 2024 | B.Sc. — Networks & Telecommunications | Université Libanaise |
Open to collaborations in computer vision, signal processing & applied deep learning
📧 shakib.youssef@outlook.com