A Novel Tuning approach for MPC parameters based on Artificial Neural Network. - Houssam Moumouh; Nicolas Langlois; Madjid Haddad (ICCA, 2019)

Off-line Robustness Improvement of a Predictive Controller Using a Novel Tuning Approach Based on Artificial Neural Network. - Houssam Moumouh; Nicolas Langlois; Madjid Haddad (ICCA, 2020)

A new Evaluation Approach for Deep Learning-based Monocular Depth Estimation Methods. - Antoine Mauri; Redouane Khemmar; Rémi Boutteau; Benoit Decoux; Jean-Yves Ertaud; Madjid Haddad (ITSC, 2020)

Robustness of Model Predictive Control Using a Novel Tuning Approach Based on Artificial Neural Network. - Houssam Moumouh; Nicolas Langlois; Madjid Haddad (MED, 2020)

Kurtosis-based connected components method for detecting small and transparent foreign objects in semiopaque bottles. - Djallel Belhadj; Danielle A. Nuzillard; Valeriu Vrabie; Madjid Haddad (J. Electronic Imaging, 2020)

Cyclostationary-Based Vital Signs Detection Using Microwave Radar at 2.5 GHz. - Fatima Sekak; Kawtar Zerhouni; Fouzia Elbahhar; Madjid Haddad; Christophe Loyez; Kamel Haddadi (Sensors, 2020)

Real-Time 3D Multi-Object Detection and Localization Based on Deep Learning for Road and Railway Smart Mobility. - Antoine Mauri; Redouane Khemmar; Benoit Decoux; Madjid Haddad; Rémi Boutteau (J. Imaging, 2021)

A new sampled-data observer design for bioreactors. - Eric Magarotto; Tarek Ahmed-Ali; Madjid Haddad (CoDIT, 2022)

Study and Evaluation of the Vital Signs Detection Based on the Third Order Cyclic Temporal Moment and Cumulant. - Fatima Sekak; Fouzia Elbahhar; Madjid Haddad (IEEE Access, 2022)

Lightweight convolutional neural network for real-time 3D object detection in road and railway environments. - Antoine Mauri; Redouane Khemmar; Benoit Decoux; Madjid Haddad; Rémi Boutteau (J. Real Time Image Process., 2022)

Road and Railway Smart Mobility: A High-definition Ground Truth Hybrid Dataset. - Redouane Khemmar; Antoine Mauri; Camille Dulompont; Jayadeep Gajula; Vincent Vauchey; Madjid Haddad; Rémi Boutteau (Sensors, 2022)

Vehicle Rollover Index Estimation Using a Nonlinear Unknown Input Observer. - D. J. Codjia; Latifa Boutat-Baddas; Marouane Alma; Madjid Haddad; Ali Zemouche (MED, 2023)

State Estimation of Longitudinal Vehicle Model Using H∞ LMI-Based Nonlinear Observer. - Shivaraj Mohite; Marouane Alma; Ali Zemouche; Madjid Haddad (MED, 2023)

Improving the Efficiency of 3D Monocular Object Detection and Tracking for Road and Railway Smart Mobility. - Alexandre Evain; Antoine Mauri; François Garnier; Messmer Kounouho; Redouane Khemmar; Madjid Haddad; Rémi Boutteau; Sébastien Breteche; Sofiane Ahmedali (Sensors, 2023)

Nonlinear Observer Design for Vehicle Lateral Load Transfer Ratio Estimation. - Shengya Meng; F. Meng; F. Zhang; Marouane Alma; Madjid Haddad; Ali Zemouche (ACC, 2024)

An Hybrid Observer for a two-branch Supercapacitor Model : voltages estimation for SOH and SOC under NEDC and WLTP cycles. - Eric Magarotto; Tarek Ahmed-Ali; Madjid Haddad (CoDIT, 2024)

Cyberattack Detection by Using a Discrete-Time Model-Based Unknown Input Observer. - Quang Huy Nguyen; Osama Sadki; Hugues Rafaralahy; Madjid Haddad; Ali Zemouche (IEEE Control. Syst. Lett., 2024)

Cyberattack Estimation in Intelligent Transportation System by Using an Adaptive High Order Sliding Mode Differentiator. - Osama Sadki; Quang Huy Nguyen; Ali Zemouche; Hugues Rafaralahy; Madjid Haddad (MED, 2025)