Samy LABSIR
Présentation
Samy Labsir is a associate professor at IPSA Toulouse in data science and statistics. A the same time, he carries out research works in statistical signal processing within the laboratory TéSA. He obtained its PhD Degree at University of Bordeaux (France), IMS laboratory, in the Signal&Image group with collaboration of CEA-CESTA, in December 2020. The title is "Méthodes statistiques fondées sur les groupes de Lie pour le suivi d'un amas de débris spatiaux". and was supervised by Audrey Giremus (Full professor, Bordeaux University) and Brice Yver (Engineer, CEA-CESTA). The associated manuscript is disponible here and the presentation here. From October 2020 to November 2022, he was a post-doctoral research assistant at ISAE-SUPAERO (Toulouse, France) in DEOS department, NAVIRRES research group under the supervision of Gael Pages (Researcher, ISAE-SUPAERO) and Eric Chaumette (Full professor, ISAE-SUPAERO) . Its research is focused on filtering, estimation and machine learning methods for statistical signal processing. He works on statistical (non)-bayesian methods which use the non-Euclidean properties (Lie groups and Riemannian manifolds) of both unknown parameters and observations. He also investigates on the development of (non)-Bayesian error bound for parameters evolved on (non)-Euclidean space (Lie groups).
Its research works have mainly been built for three applications:
Compétences
Publications
Publications
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A New Geometric Regression with Inputs-Outputs on Matrix Lie GroupsGeometric Science of Information (GSI 2025), Oct 2025, Saint-Malo, France. pp.271-279, ⟨10.1007/978-3-032-03924-8_28⟩ |
Lie Group Bayesian Modeling of the von Mises Concentration Parameter2025 28th International Conference on Information Fusion (FUSION), FUSION, Jul 2025, Rio de Janeiro, France. pp.1-6, ⟨10.23919/FUSION65864.2025.11124059⟩ |
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Lie Group Based Approach for GNSS Signal Phase ModelingICL-GNSS 2025 - International Conference on Localization and GNSS, Jun 2025, Rome, Italy. pp.1-6, ⟨10.1109/ICL-GNSS65520.2025.11046120⟩ |
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New Insights into Lower Bound for Lie Groups and their Applications2025 59th Annual Conference on Information Sciences and Systems (CISS), Mar 2025, Baltimore, United States. ⟨10.1109/CISS64860.2025.10944664⟩ |
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Recurrent Neural Networks Modelling based on Riemannian Symmetric Positive Definite ManifoldEUSIPCO, Aug 2024, Lyon, France |
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Full Slepian-Bangs Formula for Fisher Information on Lie Groups58th Asilomar Conference on Signals, Systems, and Computers, Oct 2024, Pacific Grove, United States |
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An Intrinsic Modified Cramér-Rao Bound on Lie Groups2024 International conference on information fusion (FUSION 2024), Jul 2024, Venise, Italy. ⟨10.23919/fusion59988.2024.10706414⟩ |
Theoretical Performance Analysis of GNSS Tracking Loops2023 IEEE/ION Position, Location and Navigation Symposium (PLANS), Apr 2023, Monterey, France. pp.946-951, ⟨10.1109/PLANS53410.2023.10139980⟩ |
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Intrinsic Slepian-Bangs type formula for parameters on LGs with unknown measurement noise varianceAsilomar Conference on Signals, Systems, and Computers, Oct 2023, Pacific Groove, United States |
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Cramér-Rao Bound on Lie Groups with Observations on Lie Groups: Application to SE(2)ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Jun 2023, Rhodes Island, Greece. ⟨10.1109/ICASSP49357.2023.10096257⟩ |
Robust M-Type Error-State Kalman Filters for Attitude Estimation2023 31st European Signal Processing Conference (EUSIPCO), Sep 2023, Helsinki, Finland. ⟨10.23919/eusipco58844.2023.10289871⟩ |
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Borne de Cramér-Rao sur groupe de Lie avec observations sur groupe de Lie : application à SO(2)GRETSI 2023 - XXIXème Colloque Francophone de Traitement du Signal et des Images, Aug 2023, Grenoble, France |
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An Intrinsic McAulay-Seidman Bound for Parameters Evolving on Matrix Lie Groups2022 56th Asilomar Conference on Signals, Systems, and Computers, Oct 2022, Pacific Grove, France. pp.71-75, ⟨10.1109/IEEECONF56349.2022.10051899⟩ |
A Lie-group based modelling for centroid and shape estimation of a cluster of space debris2020 28th European Signal Processing Conference (EUSIPCO), Jan 2021, Amsterdam, France. pp.960-964, ⟨10.23919/Eusipco47968.2020.9287641⟩ |
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Modèle et algorithme sur groupe de Lie pour l’estimation de la forme d’un amas de débris spatiauxColloque Gretsi, Aug 2019, Lille, France |
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Tracking a cluster of space debris in low orbit by filtering on Lie groupsIEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), May 2019, Brighton, United Kingdom |
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K-Means and Gaussian Mixture Models on Lie Groups: Application to Geometrical Clustering2026 |
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Méthodes statistiques fondées sur les groupes de Lie pour le suivi d'un amas de débris spatiaux.Traitement du signal et de l'image [eess.SP]. Université de Bordeaux, 2020. Français. ⟨NNT : 2020BORD0294⟩ |