Houssam Hajj Hassan

Researcher @ Orange | Autonomous Cyber-Physical Systems

I’m a postdoctoral researcher at Orange Innovation, where I develop robotic swarm architectures combining multimodal perception, LLM-based reasoning, and AI planning to deliver robust autonomous operation under real-world constraints.

I build scalable AI systems that enable autonomous decision-making in industrial and distributed environments. My expertise spans self-adaptive systems, AIoT, edge–cloud deployments, and distributed systems.

Professional Experience
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Postdoc Researcher
Nov. 2025–Present
Orange Innovation
Châtillon, France
- Deploying LLM-driven intelligent perception modules for robotic swarms.
- Designing LLM-assisted optimization mechanisms for 6G wireless communication in industrial IoT environments.
- Leading research for the CANCUN ANR project, enabling efficient and sustainable IIoT communication.
Postdoc Researcher
Jan. 2025–Oct. 2025
Télécom SudParis
Évry, France
- Technical lead and main contributor for the PANDORA EU project for developing scalable and trustworthy AIoT pipelines.
- Designed causal-based approaches for synthetic IoT data generation supporting ML robustness.
- Designed frameworks for adaptive ML model distribution across heterogeneous Edge-–Cloud infrastructures.
- Mentored junior researchers (PhD and MSc) in autonomous systems and experimental research.
PhD Researcher
Nov. 2021–Dec. 2024
Télécom SudParis
Évry, France
- Designed and implemented hybrid AI frameworks enabling proactive self-adaptation in dynamic IoT systems.
- Designed and implemented a Causal Reinforcement Learning approach for proactive decision-making in autonomous IoT systems.
- Designed and implemented an adaptive IoT data flow management framework leveraging AI Planning and Reinforcement Learning.
- Mentored junior researchers (MSc) in autonomous systems and experimental research.
Intern
Apr. 2021–Oct. 2021
Télécom SudParis
Évry, France
- Developed a Java-based simulation tool for performance evaluation of IoT data exchange.
- Optimized IoT data flow performance using AI planning methodologies.
Telecom Engineering Intern
May. 2019–Jul. 2019
Dar Al-Handasah
Beirut, Lebanon
- Conducted network analysis and optimization for telecom infrastructures.

Education
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PhD in Computer Science
2024
Institut Polytechnique de Paris (IP Paris), France
Thesis: Enabling autonomous IoT systems : A middleware-based hybrid AI approach to self-adaptation
Master's in Computer Science
2021
Lebanese University, Lebanon
Thesis: Designing an Edge-based Data Exchange Infrastructure for Smart Buildings
Bachelor of Engineering - Computer Engineering
2020
American University of Beirut, Lebanon
Final Year Project: Instructor’s Problem Set Recycling and Evolving