Hussam Atoui
Hussam Atoui

AI and Control R&D Engineer

About Me

I am Hussam Atoui, an AI and Control Software Engineer at Ampere Software Technology, Renault. I lead projects integrating Reinforcement Learning (RL) and Deep Learning (DL) into ADAS (Automated Driving Assistance Systems), and manage co-simulation platforms for automated driving validation. Previously, at Valeo, I lead implemented RL-based and DL-based sofwtare solutions for decision-making and path-planning components for automated driving. Before, at Renault, I designed and implemented advanced control systems, including lateral and switching controllers, using C++, MATLAB, and Python.

I hold a Ph.D. in Control and Reinforcement Learning for Autonomous Vehicles from Grenoble-Alpes University, awarded the Best Thesis Award by GDR-MACS in 2023. I also earned a M.Sc. in Robotics and Automatic Control from Grenoble-Alpes University and a B.E. in Mechanical Engineering from Lebanese University.

Through my professional experience and personal projects, I have gained my expertise in C++ and Python to develop advanced applications. In parallel, I have independently explored AI technologies, including computer vision and large language models (LLMs), with a focus on their integration into software modules. My goal is to apply these skills to drive innovation in advanced software development.

Interests
  • Robotics & Automation
  • Reinforcement Learning
  • Gen AI and LLMs
  • Software Apps
Education
  • PhD in Robotics and Artificial Intelligence

    Grenoble-Alpes University

  • MSc Robotics and Automatic Control

    Grenoble-Alpes University

  • BE in Mechanical Engineering

    Lebanese University

Featured Publications
Recent Publications
(2024). Multi-Variable and Multi-Objective Gain-Scheduled Control Based on Youla-Kucera Parameterization: Application to Autonomous Vehicles. International Journal of Robust and Nonlinear Control.
(2024). Modeling and Control of BLDC Motor for Scaled Autonomous Vehicle Application. ICMCE.
(2023). ROS Implementation of Planning and Robust Control Strategies for Autonomous Vehicles. Electronics.
(2022). Smooth Switching of Multi-LPV Control Systems Based on Youla-Kucera Parameterization. IFAC LPVS.