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.

Ghofrane Hajri

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.

Available to hire

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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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
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Language

Arabic
Fluent
French
Advanced
English
Intermediate

Work Experience

Teaching Assistant (Vacataire) at ISSAT Mateur, Tunisia
January 1, 2024 - January 1, 2025
Courses in computer science and embedded systems for undergraduate students
Master's Thesis — Brain Tumour Detection Using AI & LRP at University of the Opal Coast (France) & ISSAT Mateur
February 1, 2024 - December 1, 2024
Developed a deep learning pipeline for brain tumour detection using CNNs and YOLOv11; integrated Layer-wise Relevance Propagation (LRP) for model interpretability; deployed on NVIDIA Jetson Nano
Full-Stack Developer at Timsoft Group
February 1, 2022 - June 1, 2022
Built a role-based leave management web app (employee / manager / admin) with real-time notifications and REST API
Software Developer — Game Development at NET_INFO
February 1, 2021 - March 1, 2021
Designed and implemented a Tiya-type 2D game with scoring and visual effects
Introductory Internship — OOP & C# at PEAK TECHNOLOGY SARL
January 1, 2020 - February 1, 2020
Developed small interactive applications and data management tools in C#

Education

International Master's degree in Cyber-Physical Systems at ISSAT Mateur, Tunisia
January 1, 2022 - January 1, 2024
Bachelor's degree in Multimedia & Web Development at ISET Nabeul, Tunisia
January 1, 2019 - January 1, 2022
Baccalaureate — Technology Section at Secondary School of El Haouaria
January 1, 2019 - January 1, 2019

Qualifications

Master's Thesis — Brain Tumour Detection Using AI & LRP
February 1, 2024 - December 1, 2024

Industry Experience

Healthcare, Software & Internet, Education, Gaming, Professional Services