Leila Gharsalli

Identifiants chercheurs

IdHAL :

leila-gharsalli

Présentation

Leila GHARSALLI received a Master of Science degree in Applied Mathematics (Bizerte, Tunisia, 2010), followed by a MSc degree in Mathematics, Vision and Statistical Learning from ENS Cachan (Cachan, 2011), then a PhD in image and signal processing from the University Paris Sud (Gif-sur-Yvette, 2015). Afterwards, she worked as a postdoc researcher at the French Institute for Radiation Protection and Nuclear Safety - IRSN (Fontenay-aux-Roses, 2015-2017) on the development of an expert system for the optimization of internal radioactive contaminations monitoring using a Bayesian network. Then, she performed her second postdoc experience at the French National Center for Space Studies - CNES (Paris, 2017- 2019) where she worked on the development of advanced optimization methods for the structural sizing of launchers. Actually, she is working at the Polytechnic Institute of Advanced Sciences - IPSA as a Teacher and a Research Scientist (Research and Innovation Department).Her main research interest concerns the bayesian inference for solving linear and nonlinear inverse problems, optimization problems and their applications, Machine Learning and more generally the application of the mathematical and computational sciences in industry and especially in the computer vision and the aerospace fields.

Publications

Article dans une revue (4)

POMDP-Driven cognitive massive MIMO radar: joint target detection-tracking in unknown disturbances Imad Bouhou,Stefano Fortunati,Leila Gharsalli,Alexandre Renaux IEEE Transactions on Radar Systems, 2025 Article dans une revue hal-04905721v2
Mechanical sizing of a composite launcher structure by hybridizing a genetic algorithm with a local search method Leila Gharsalli,Yannick Guérin Composites Part C: Open Access, 2021, 5, pp.100125. ⟨10.1016/j.jcomc.2021.100125⟩ Article dans une revue hal-04551303v1
Inverse scattering in a Bayesian framework: application to microwave imaging for breast cancer detection Leila Gharsalli,Hacheme Ayasso,Bernard Duchêne,Ali Mohammad-Djafari Inverse Problems, 2014, 30 (11), pp.114011. ⟨10.1088/0266-5611/30/11/114011⟩ Article dans une revue hal-01103456v1
Variational Bayesian inversion for microwave breast imaging Leila Gharsalli,Hacheme Ayasso,Bernard Duchêne,Ali Mohammad-Djafari Computer Assisted Methods in Engineering and Science, 2014, 21 (3/4), pp.199-210. ⟨10.24423/cames.38⟩ Article dans une revue hal-01211734v1

Pré-publication, Document de travail (1)

Joint multi-target detection-tracking in cognitive massive MIMO radar via POMCP Imad Bouhou,Stefano Fortunati,Leila Gharsalli,Alexandre Renaux 2025 Pré-publication, Document de travail hal-05296393v1

Communication dans un congrès (12)

Supervised Machine Learning for Breast Cancer Detection Using Microwave Imaging in the Frequency Domain Marwa Dridi,Leila Gharsalli 18th European Conference on Antennas and Propagation (EuCAP), Mar 2024, Glasgow, France. pp.1-4, ⟨10.23919/EuCAP60739.2024.10501027⟩ Communication dans un congrès hal-04567873v1
Reinforcement Learning for Cognitive Integrated Communication and Sensing Systems Aya Mostafa Ibrahim Ahmed,Leila Gharsalli,Stefano Fortunati,Aydin Sezgin 26th European Microwave Week (EuMW 2023), Sep 2023, Berlin, Germany Communication dans un congrès hal-04131197v1
Nonlinear microwave imaging for breast-cancer using a variational Bayesian algorithm Leila Gharsalli,Hacheme Ayasso,Bernard Duchêne,Ali Mohammad-Djafari SIAM Conference on the Life Sciences, Jul 2016, Boston, MA, United States. pp.PP1 Communication dans un congrès hal-01459711v1
A gradient-like variational Bayesian approach: Application to microwave imaging for breast tumor detection Leila Gharsalli,Bernard Duchêne,Ali Mohammad-Djafari,Hacheme Ayasso ICIP 2014 - 21st IEEE International Conference on Image Processing, Oct 2014, Paris, France. pp.1708-1712, ⟨10.1109/ICIP.2014.7025342⟩ Communication dans un congrès hal-01266174v1
Variational Bayesian inversion for microwave imaging applied to breast cancer detection Leila Gharsalli,Hacheme Ayasso,Bernard Duchêne,Ali Mohammad-Djafari ICIPE 2014 - 8th International Conference on Inverse Problems in Engineering (ICIPE 2014), May 2014, Cracovie, Poland. pp.ID 5-2 Communication dans un congrès hal-01103636v1
Variational Bayesian Approach with a heavy-tailed prior distribution for solving a non-linear inverse scattering problem Leila Gharsalli,Hacheme Ayasso,Bernard Duchêne,Ali Mohammad-Djafari MaxEnt - 34th International Workshop on Bayesian Inference and Maximun Entropy Methods in Science and Engineering (MaxEnt'14), Sep 2014, Amboise, France Communication dans un congrès hal-01103647v1
A Gauss-Markov mixture prior model for a variational Bayesian approach to microwave breast imaging Leila Gharsalli,Hacheme Ayasso,Bernard Duchêne,Ali Mohammad-Djafari CAMA 2014 - IEEE Conference on Antenna Measurements and Applications, Nov 2014, Juan-Les-Pins, France. pp.ID SP13.4 Communication dans un congrès hal-01103674v1
Microwave tomography for breast cancer detection within a Variational Bayesian Approach Leila Gharsalli,Hacheme Ayasso,Bernard Duchêne,Ali Mohammad-Djafari EUSIPCO 2013 - 21th European Signal Processing Conference, Sep 2013, Marrakech, Morocco. pp.ID1569743387 Communication dans un congrès hal-00854799v1
Approche bayésienne variationnelle en tomographie micro-onde appliquée à la détection du cancer du sein Leila Gharsalli,Hacheme Ayasso,Bernard Duchêne,Ali Mohammad-Djafari GRETSI 2013 - XXIVème Colloque francophone de traitement du signal et des images, Sep 2013, Brest, France. ID411, 4 p Communication dans un congrès hal-00854796v1
Microwave imaging within a variational Bayesian framework: application to breast tumor detection Leila Gharsalli,Hacheme Ayasso,Bernard Duchêne,Ali Mohammad-Djafari ISSSMA 2013 - Interdisciplinary Symposium on Signals and Systems for Medical Applications (ISSSMA 2013), Jun 2013, Paris, France Communication dans un congrès hal-00832372v1
Bayesian variational approximation implementation for linear inverse problem with infinite Gaussian mixture model Mohammad-Djafari Ali,Leila Gharsalli,Mircea Dumitru Journée GDR ISIS: Résolution de problèmes inverses : optimisation et parallélisation, Jun 2012, Paris, France Communication dans un congrès hal-00874924v1
Variational Bayesian approximation with scale mixture prior: a comparison between three algorithms Leila Gharsalli,Mohammad-Djafari Ali,Aurélia Fraysse,Thomas Rodet 32nd International Workshop on Bayesian Inference and Maximun Entropy Methods in Sciences and Engineerin, Jul 2012, Garching near Munich, Germany. pp.130-138 Communication dans un congrès hal-00854783v1

Chapitre d'ouvrage (1)

Hybrid Genetic Algorithms Leila Gharsalli Optimisation Algorithms and Swarm Intelligence, IntechOpen, 2022, ⟨10.5772/intechopen.104735⟩ Chapitre d'ouvrage hal-04498546v1

Thèse (1)

Approches bayésiennes en tomographie micro-ondes : applications à l'imagerie du cancer du sein Leila Gharsalli Traitement du signal et de l'image [eess.SP]. Université Paris Sud - Paris XI, 2015. Français. ⟨NNT : 2015PA112048⟩ Thèse tel-01159537v1

Rapport (1)

A gradient-like Variational Bayesian approach for inverse scattering problems Leila Gharsalli 2014 Rapport hal-00942863v1