
Leila Gharsalli
- Institut Polytechnique des Sciences Avancées (IPSA)
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
Publications
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POMDP-Driven cognitive massive MIMO radar: joint target detection-tracking in unknown disturbancesIEEE Transactions on Radar Systems, 2025
Article dans une revue
hal-04905721
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Mechanical sizing of a composite launcher structure by hybridizing a genetic algorithm with a local search methodComposites Part C: Open Access, 2021, 5, pp.100125. ⟨10.1016/j.jcomc.2021.100125⟩
Article dans une revue
hal-04551303
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Variational Bayesian inversion for microwave breast imagingComputer Assisted Methods in Engineering and Science, 2014, 21 (3/4), pp.199-210
Article dans une revue
hal-01211734
v1
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Inverse scattering in a Bayesian framework: application to microwave imaging for breast cancer detectionInverse Problems, 2014, 30 (11), pp.114011. ⟨10.1088/0266-5611/30/11/114011⟩
Article dans une revue
hal-01103456
v1
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Supervised Machine Learning for Breast Cancer Detection Using Microwave Imaging in the Frequency Domain18th European Conference on Antennas and Propagation (EuCAP), Mar 2024, Glasgow, France. pp.1-4, ⟨10.23919/EuCAP60739.2024.10501027⟩
Communication dans un congrès
hal-04567873
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Reinforcement Learning for Cognitive Integrated Communication and Sensing Systems26th European Microwave Week (EuMW 2023), Sep 2023, Berlin, Germany
Communication dans un congrès
hal-04131197
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Nonlinear microwave imaging for breast-cancer using a variational Bayesian algorithmSIAM Conference on the Life Sciences, Jul 2016, Boston, MA, United States. pp.PP1
Communication dans un congrès
hal-01459711
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A gradient-like variational Bayesian approach: Application to microwave imaging for breast tumor detectionICIP 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-01266174
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Variational Bayesian inversion for microwave imaging applied to breast cancer detectionICIPE 2014 - 8th International Conference on Inverse Problems in Engineering (ICIPE 2014), May 2014, Cracovie, Poland. pp.ID 5-2
Communication dans un congrès
hal-01103636
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Variational Bayesian Approach with a heavy-tailed prior distribution for solving a non-linear inverse scattering problemMaxEnt - 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-01103647
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A Gauss-Markov mixture prior model for a variational Bayesian approach to microwave breast imagingCAMA 2014 - IEEE Conference on Antenna Measurements and Applications, Nov 2014, Juan-Les-Pins, France. pp.ID SP13.4
Communication dans un congrès
hal-01103674
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Microwave imaging within a variational Bayesian framework: application to breast tumor detectionISSSMA 2013 - Interdisciplinary Symposium on Signals and Systems for Medical Applications (ISSSMA 2013), Jun 2013, Paris, France
Communication dans un congrès
hal-00832372
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Approche bayésienne variationnelle en tomographie micro-onde appliquée à la détection du cancer du seinGRETSI 2013 - XXIVème Colloque francophone de traitement du signal et des images, Sep 2013, Brest, France. ID411, 4 p
Communication dans un congrès
hal-00854796
v1
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Microwave tomography for breast cancer detection within a Variational Bayesian ApproachEUSIPCO 2013 - 21th European Signal Processing Conference, Sep 2013, Marrakech, Morocco. pp.ID1569743387
Communication dans un congrès
hal-00854799
v1
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Bayesian variational approximation implementation for linear inverse problem with infinite Gaussian mixture modelJournée GDR ISIS: Résolution de problèmes inverses : optimisation et parallélisation, Jun 2012, Paris, France
Communication dans un congrès
hal-00874924
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Variational Bayesian approximation with scale mixture prior: a comparison between three algorithms32nd 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-00854783
v1
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Hybrid Genetic AlgorithmsOptimisation Algorithms and Swarm Intelligence, IntechOpen, 2022, ⟨10.5772/intechopen.104735⟩
Chapitre d'ouvrage
hal-04498546
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Approches bayésiennes en tomographie micro-ondes : applications à l'imagerie du cancer du seinTraitement du signal et de l'image [eess.SP]. Université Paris Sud - Paris XI, 2015. Français. ⟨NNT : 2015PA112048⟩
Thèse
tel-01159537
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