Madjid Haddad

According to our database, Madjid Haddad authored at least 18 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

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

Proceedings of the 33rd Mediterranean Conference on Control and Automation, 2025

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

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

Proceedings of the 10th International Conference on Control, 2024

Nonlinear Observer Design for Vehicle Lateral Load Transfer Ratio Estimation.

Shengya Meng, F. Meng, F. Zhang, Marouane Alma, Madjid Haddad, Ali Zemouche

Proceedings of the American Control Conference, 2024

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, March, 2023

State Estimation of Longitudinal Vehicle Model Using H∞ LMI-Based Nonlinear Observer.

Shivaraj Mohite, Marouane Alma, Ali Zemouche, Madjid Haddad

Proceedings of the 31st Mediterranean Conference on Control and Automatio, 2023

Vehicle Rollover Index Estimation Using a Nonlinear Unknown Input Observer.

D. J. Codjia, Latifa Boutat-Baddas, Marouane Alma, Madjid Haddad, Ali Zemouche

Proceedings of the 31st Mediterranean Conference on Control and Automatio, 2023

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

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

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

A new sampled-data observer design for bioreactors.

Eric Magarotto, Tarek Ahmed-Ali, Madjid Haddad

Proceedings of the 8th International Conference on Control, 2022

2021

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

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

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

Robustness of Model Predictive Control Using a Novel Tuning Approach Based on Artificial Neural Network.

Houssam Moumouh, Nicolas Langlois, Madjid Haddad

Proceedings of the 28th Mediterranean Conference on Control and Automation, 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

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Off-line Robustness Improvement of a Predictive Controller Using a Novel Tuning Approach Based on Artificial Neural Network.

Houssam Moumouh, Nicolas Langlois, Madjid Haddad

Proceedings of the 16th IEEE International Conference on Control & Automation, 2020

2019

A Novel Tuning approach for MPC parameters based on Artificial Neural Network.

Houssam Moumouh, Nicolas Langlois, Madjid Haddad

Proceedings of the 15th IEEE International Conference on Control and Automation, 2019