🎓 Ph.D (May 2021 - January 2025) in Computer Science (Artificial Intelligence)
Université du Québec en Outaouais (Fully funded by the National Research Council of Canada)
Research Focus: Bridge Defect Detection Using Drone Imagery
🔭 Current Work:
Developing deep learning models for concrete crack segmentation and defect detection.
📫 Reach Me:
LinkedIn | Google Scholar
- Deep Learning: PyTorch, TensorFlow
- Image Processing: Segmentation, inpainting, and video analysis
- Programming Languages: Python, MATLAB, C++, Java
- Tools: Linux, Git, PowerPoint
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Visual Concrete Bridge Defect Classification and Detection Using Deep Learning: A Systematic Review
IEEE Transactions on Intelligent Transportation Systems (2024) -
Crowdsourcing of Labeling Image Objects: An Online Gamification Application for Data Collection
Multimedia Tools and Applications (2023)
Exploring:
- Multimodal data fusion for segmentation
- Advanced architectures like GANs and Transformers
I enjoy biking, learning French, and exploring cutting-edge AI challenges!