Feriel Bouhadjera

Maître de conférences

Équipe : Méthodes statistiques de data-mining et apprentissage

Site web :

Bureau : 21

Annuler

2026

Articles de revue

Diallo, B.; Niang, N.; Audigier, V. and Bouhadjera, F. Comparaison de méthodes de classification de données fonctionnelles. In Revue des Nouvelles Technologies de l'Information, Extraction et Gestion des Connaissances, RNTI-E-42: 121-132, 2026. www

2024

Articles de conférence

Bouhadjera, F. Régression sur données censurées avec indicateurs manquants. In 55es journées de statistique de la SFDS, Bordeaux, France, 2024. www

2023

Articles de revue

Bouhadjera, F.; Lemdani, M. and Elias, O-S. Strong uniform consistency of the local linear relative error regression estimator under left truncation. In Statistical Papers, 64 (2): 421-447, 2023. doi www

2022

Articles de revue

Bouhadjera, F.; Elias, O-S. and Remita, M. R. Strong consistency of the nonparametric local linear regression estimation under censorship model. In Communications in Statistics - Theory and Methods, 51 (20): 7056-7072, 2022. doi www

Bouhadjera, F. and Elias, O-S. Strong consistency of the local linear relative regression estimator for censored data. In Opuscula Mathematica, 42 (6): 805-832, 2022. doi www

Bouhadjera, F.; Elias, O-S. and Mohamed Riad, R. Relative error prediction: Strong uniform consistency for censoring time series model. In Communications in Statistics - Theory and Methods: 1-21, 2022. doi www

Articles de conférence

Bouhadjera, F.; Baragatti, M.; Hilgert, N.; Smits, N. and Grollemund, P-M. Bayesian functional linear regression estimation. Extension to scalar and categorical covariates. In 53es journées de Statistique de la SFDS, Lyon, France, 53es journées de Statistique de la SFDS , 2022. www

2021

Articles de revue

Bouhadjera, F. and Elias, O-S. Nonparametric local linear estimation of the relative error regression function for twice censored data. In Statistics and Probability Letters, 178: 109185, 2021. doi www

Benrabah, O.; Bouhadjera, F. and Elias, O-S. Local linear estimation of the regression function for twice censored data. In Statistical Papers, 63 (2): 489-514, 2021. doi www

Bouhadjera, F. and Elias, O-S. Asymptotic normality of the relative error regression function estimator for censored and time series data. In Dependence Modeling, 9 (1): 156-178, 2021. doi www

2020

Thèses et habilitations

Bouhadjera, F. Estimation non paramétrique de la fonction de régression pour des données censurées : méthodes locale linéaire et erreur relative. Ph.D. Thesis, Université du Littoral C^ote d'Opale ; Université Badji Mokhtar-Annaba, 2020.

Non publié

Bouhadjera, F. and Elias, O-S. Nonparametric local linear estimation of the relative error regression function for censorship model. , working paper or preprint. www

2019

Non publié

Bouhadjera, F. and Elias, O-S. On the strong uniform consistency for relative error of the regression function estimator for censoring times series model. , working paper or preprint. www

Bouhadjera, F.; Elias, O-S. and Remita, M. R. Nonparametric relative error estimation of the regression function for censored data. , working paper or preprint. www

Prochains événements du CÉDRIC :

Prochain Séminaire CEDRIC-LAETITIA

10/02/2026 - 10 h 00 - 11 h 00

CNAM, Paris

Le prochain séminaire du laboratoire CEDRIC sera organisé par l’équipe LAETITIA. Il aura lieu le mardi 10 février 2026, de 10h à 11h dans la salle 11-A3-33 (accès 11, escalier A, au 3^ème étage). Gunes Karabulut-Kurt, Professeur à Polytechnique Montréal présentera ses travaux intitulés « Role of Communication Systems in Space Domain Awareness ».

Title: Role of Communication Systems in Space Domain Awareness

Abstract: Earth’s growing low Earth orbit (LEO) satellite networks provide diverse services, but they also bring risks that are associated with collision risk, interference, orbital debris, and limited Resources. Increasing spacecraft strains ground station capabilities. Proper resource management and coordination are essential. Addressing these issues is vital, especially in the face of attacks or unforeseen events. Stakeholders explore Space Domain Awareness (SDA) to detect, track, and understand space objects. SDA aims for situational awareness, safety, security, efficiency, and resilience. This talk introduces SDA, delves into future security threats, and explores communication systems’ remedies. Preliminary results will be presented along with the open issues.

Brief Profile :

Gunes Karabulut-Kurt is a Canada Research Chair (Tier 1) in New Frontiers in Space Communications and a Professor at Polytechnique Montréal, Montréal, QC, Canada. She is the Director of the Poly-Grames Research Center, and is co-founder and Director of Education and Training of ASTROLITH, Transdisciplinary Research Unit of Space Resource and Infrastructure Engineering at Polytechnique Montréal. She is also an adjunct research professor at Carleton University, Canada. Gunes received the B.S. degree with high honors in electronics and electrical engineering from Bogazici University, Istanbul, Turkiye, in 2000 and the M.A.Sc. and the Ph.D. degrees in electrical engineering from the University of Ottawa, ON, Canada, in 2002 and 2006, respectively. She worked in different technology companies in Canada and Turkiye between 2005 and 2010. From 2010 to 2021, she was a professor at Istanbul Technical University. Gunes is a Marie Curie Fellow and has received the Turkish Academy of Sciences Outstanding Young Scientist (TÜBA-GEBIP) Award in 2019.