Zine El Abidine Kherroubi
Research & Development Scientist, Electrical & Automotive Engineer
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About
I am a researcher bridging industry and academia, with a focus on connected and autonomous vehicle (CAV) technologies, a market estimated at approximately USD 400 billion, with significant societal and industrial impact. My research addresses real-world challenges faced by autonomous systems, particularly those arising from uncertainty, imperfect sensing, and unreliable communication.
My work primarily focuses on the development of AI- and LLM-based systems for safe and robust autonomous driving, spanning key autonomy layers including perception, planning and decision making, V2X communication, intelligent road infrastructure, and resilient mesh networking.
I hold an industrial PhD in Computer Science, completed in collaboration with Groupe Renault, a global automotive manufacturer. I also hold a Master of Science in Mobility and Electric Vehicles from Grandes Écoles ParisTech (top engineering schools in France) and an Electrical Engineering degree (Control Systems option) from the National Polytechnic School of Algiers (a leading engineering institution in Algeria). In addition, I completed professional training in Systems Engineering at the Massachusetts Institute of Technology (MIT). I am currently a Research & Development Scientist at the Technology Innovation Institute (TII), Abu Dhabi, where I conduct research on safe autonomous systems, intelligent road infrastructure, and resilient mesh networks.
Research Interests
Connected and Autonomous Vehicle (CAV), Cyber-Physical Systems (CPS), V2X networks, AI and LLMs, Mesh Networks, Planning and decision under uncertainty.
Selected Publications
- “A Robust Actor-Critic Algorithm for CAV Decision Making under Impaired V2X Communication”.
IEEE Transactions on Intelligent Transportation Systems (preprint), T-ITS Impact Factor : 8.4.
Zine el abidine Kherroubi - “Poster : Could Large Language Models Perform Network Management ?”.
International Conference on Embedded Wireless Systems and Networks (EWSN 2024), Conference rank (ERA) : A1.
Zine el abidine Kherroubi, Monika Prakash, Jean-Pierre Giacalone, Michael Baddeley. - “AUTODRAITEC : A Novel AI-based System on the Road Infrastructure for Autonomous Driving – Proof
of Concept”.
35th IEEE Intelligent Vehicles Symposium (IV 2024), Conference H-index : 93.
Zine el abidine Kherroubi, Fouzi Boukhalfa, Thierry Lestable. - “Multimodal transformers for wireless communications : A case study in beam prediction”.
ITU Journal on Future and Evolving Technologies.
Yu Tian, Qiyang Zhao, Zine el abidine Kherroubi, Fouzi Boukhalfa, Kebin Wu, Faouzi Bader. - “A Novel Decision-Making Strategy for Connected and Autonomous Vehicles in Highway On-ramp Merging”.
IEEE Transactions on Intelligent Transportation Systems, Scopus Impact Factor: 9.551.
Zine el abidine Kherroubi, Samir Aknine, Rebiha Bacha.
Patents Applications
- “Systems And Methods For Robust Decision-Making For Connected And Autonomous Vehicle With V2X Information”.
US/WO Patent Application No. US18/987,394 (PCT/IB2024/062920).
Publication number : 20250214622.
Assignee : Technology Innovation Institute – Sole Proprietorship LLC.
Inventors : Zine el abidine Kherroubi.
Qualifications
- PhD on “A novel off-board decision-making strategy for connected and autonomous vehicles (Use case highway: on-ramp merging)” from Claude Bernard Lyon 1 University, in collaboration with Groupe Renault.
- Master of Science in Mobility and Electric Vehicles from Grandes Écoles ParisTech.
- Electrical Engineering degree (Control Systems option) from the National Polytechnic School of Algiers (Valedictorian).
- Professional training in “Architecture and Systems Engineering: Models and Methods to Manage Complex Systems” from the Massachusetts Institute of Technology (MIT).
Thesis
- Zine el abidine Kherroubi, “A novel off-board decision-making strategy for connected and autonomous vehicles (Use case highway: on-ramp merging)”, Ph.D. dissertation, Department of Computer Science, Claude Bernard Lyon 1 University, 2020.
[ manuscript | slides ]
Peer-review Activities
- IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Intelligent Vehicles