Hello, I’m Ghofrane Hajri, a PhD candidate in Computer Science at ISITCOM, Tunisia, affiliated with NOCCS Laboratory (ENISo). My research focuses on federated learning, blockchain for IoMT security, and privacy-preserving, scalable analytics for medical IoT. I work under the supervision of Dr. Walid Chainbi and aim to design robust, lightweight solutions that protect patient data while enabling collaborative insights.
I’ve built hands-on experience in AI-driven medical diagnostics (brain tumor detection using CNNs and YOLOv11, with Layer-wise Relevance Propagation for model interpretability) and deployed projects on edge hardware like the NVIDIA Jetson Nano. My background spans deep learning, embedded systems, real-time operating systems, and full-stack development. I’m passionate about creating privacy-preserving, efficient architectures for healthcare IoT and sharing knowledge through teaching and mentoring, as I’ve served as a Teaching Assistant and completed several industry-backed internships and projects.
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