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Profile Details
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Hire Dr. Hussam A.
Lebanon

Software Engineer - AI & Robotics

Profile Summary
Subject Matter Expertise
Services
Research Technology Scouting, Scientific and Technical Research
Consulting Scientific and Technical Consulting
Data & AI Predictive Modeling, Image Processing, Image Analysis, Algorithm Design-Non ML, Algorithm Design-ML, Data Visualization
Work Experience

Software Engineer (Machine Learning)

Valeo

November 2022 - Present

Valeo (France)

November 2022 - Present

Part Time Lecturer

EFREI University

October 2024 - December 2024

R&D Engineer

Renault

November 2019 - October 2022

Research Internship

Gipsa-lab

February 2019 - July 2019

Education

Doctorate

Grenoble-Alpes University

November 2019 - October 2022

PhD (Automatic Control)

Université Grenoble Alpes

November 2019 - October 2022

Masters (Science)

Grenoble-Alpes University

February 2019 - July 2019

Master M2 (Control Department)

Université Grenoble Alpes

September 2018 - July 2019

Bachelor of Engineering in Mechanical Engineering

Lebanese University

September 2014 - July 2019

Certifications

  • The Best Thesis Prize

    GDR-MACS 2023

    July 2023 - Present

Publications
JOURNAL ARTICLE
Hussam Atoui, Olivier Sename, Vicente Milanes, John‐Jairo Martinez‐Molina (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.
Hussam Atoui, Olivier Sename, Vicente Milanes, John Jairo Martinez(2022). LPV-Based Autonomous Vehicle Lateral Controllers: A Comparative Analysis . IEEE Transactions on Intelligent Transportation Systems. 23. (8). p. 13570--13581. Institute of Electrical and Electronics Engineers ({IEEE})
Toward switching/interpolating LPV control: A review <head> <META HTTP-EQUIV="Refresh" CONTENT="0;URL=/servlet/useragent"> </head> . Annual Reviews in Control.
PREPRINT
Hussam Atoui, Olivier sename, Vicente Milanes, John-Jairo Martinez-Molina (2023). Multi-Variable and Multi-Objective Gain-Scheduled Control Based on Youla-Kucera Parameterization: Application to Autonomous Vehicles .
CONFERENCE PAPER
Design And Experimental Validation Of A Lateral LPV Control Of Autonomous Vehicles* @INPROCEEDINGS{9294459, author= {H. {Atoui} and V. {Milanés} and O. {Sename} and J. J. {Martinez}}, booktitle= {2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)}, title= {Design And Experimental Validation Of A Lateral LPV Control Of Autonomous Vehicles*}, year= {2020}, volume= {}, number= {}, pages= {1-6}, abstract= {This paper presents a multi-scenario full-range speed lateral automated vehicle controller. A speed-dependent LPV model is designed to deal with two different situations: 1) vehicle tracking capabilities to follow a pre-defined trajectory; and 2) vehicle response to sudden reference changes as occur either when activating the automated system for the first time or when performing a lane-change. The proposed solution is based on the Linear Parameter Varying (LPV) control approach, where an output-feedback dynamical controller is designed based on the Linear Matrix Inequalities (LMIs). The control synthesis is carried out using the Linear Fractional Transformation approach, to reduce the conservatism, combined with the H∞ control problem. Simulation results show the tracking performance and the smoothness of the control inputs which provides a comfortable riding. Finally, the algorithm has been implemented on a robotized Renault ZOE and validates on test tracks, providing encouraging results.}, keywords= {Vehicle dynamics;Actuators;Control design;Roads;Trajectory;Linear systems;Global Positioning System}, doi= {10.1109/ITSC45102.2020.9294459}, ISSN= {}, month= {Sep.}} . 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC).