Hello, I’m Shajjad Hossain, a PhD candidate in Computer Science focused on AI and cybersecurity. I design and optimize ML and deep learning models to detect cyberattacks in 5G vehicular networks, and I enjoy turning complex research into robust, scalable solutions. In my work, I preprocess high-volume network data, evaluate models with rigorous metrics, and build privacy-preserving IDS using self-supervised learning. I’m looking for a full‑time role where I can apply my AI, ML, and security expertise to solve real-world problems and drive impactful innovation.

Shajjad Hossain

Hello, I’m Shajjad Hossain, a PhD candidate in Computer Science focused on AI and cybersecurity. I design and optimize ML and deep learning models to detect cyberattacks in 5G vehicular networks, and I enjoy turning complex research into robust, scalable solutions. In my work, I preprocess high-volume network data, evaluate models with rigorous metrics, and build privacy-preserving IDS using self-supervised learning. I’m looking for a full‑time role where I can apply my AI, ML, and security expertise to solve real-world problems and drive impactful innovation.

Available to hire

Hello, I’m Shajjad Hossain, a PhD candidate in Computer Science focused on AI and cybersecurity. I design and optimize ML and deep learning models to detect cyberattacks in 5G vehicular networks, and I enjoy turning complex research into robust, scalable solutions.

In my work, I preprocess high-volume network data, evaluate models with rigorous metrics, and build privacy-preserving IDS using self-supervised learning. I’m looking for a full‑time role where I can apply my AI, ML, and security expertise to solve real-world problems and drive impactful innovation.

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Language

English
Fluent
French
Advanced

Work Experience

PhD Student in Computer Science (AI-focused) at Drive Lab
January 1, 2024 - November 6, 2025
End-to-end technical and theoretical guidance; designing and optimizing ML and deep learning models to detect cyberattacks in 5G vehicular networks. Preprocessing and engineering high-volume network streams to extract relevant features. Evaluating models with rigorous metrics and robust validation protocols. Building a privacy-preserving IDS using self-supervised learning on unlabeled traffic. Boosting IDS performance with knowledge distillation and reinforcement learning orchestration.

Education

PhD in Computer Science (AI-focused) at University of Burgundy Europe
January 1, 2024 - November 6, 2025
MSc in Computer Science – AI at Claude Bernard University
January 1, 2021 - January 1, 2024
BSc in Mathematics & Computer Science at Claude Bernard University
January 11, 2030 - January 1, 2019
Science Baccalaureate at Lycée Frédéric Fays
January 11, 2030 - January 1, 2016

Qualifications

Permis B
January 11, 2030 - December 31, 2025

Industry Experience

Computers & Electronics, Software & Internet, Telecommunications, Education, Professional Services