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Bruno Figliuzzi
Bruno Figliuzzi, Maître Assistant at Mines Paris, PSL University
28
Documents
Researcher identifiers
bruno-figliuzzi- IdRef : 159486416
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0000-0002-8052-8782
Presentation
**Fields of interest**
Image processing, Image segmentation, Hyperspectral Imaging, Stochastic geometry, Mathematical Morphology, Machine learning
**Education**
PhD in Applied mathematics, Mines Paris, PSL University, France, Prof. D. Jeulin (2011)
Civil engineer degree, Mines Paris, PSL University, France (2008)
**Professional Experience**
*2016 - Present:* Associate Professor (Maître Assistant), Mines Paris, PSL University
*2013 - 2016:* Tenure-track Assistant Professor, Mines Paris PSL University, France
*2012 - 2013*: Postdoctoral Fellow, Massachusetts Institute of Technology, Cambridge, USA
*2008 - 2011*: Cifre Engineer, ArcelorMittal Research, Maizières-lès-Metz, France
**Main teaching activities**
*2022 - Present*: Data science, Mines Paris PSL University (responsible)
*2020 - Present*: Signal processing, Mines Paris PSL University (responsible)
*2016 - 2019*: Integral calculus, Mines Paris PSL University (teaching fellow)
*2014 - 2017*: Thermal fluid engineering, Mines Paris PSL University (teaching fellow)
*2012 - 2013*: Thermal fluid engineering II, Massachusetts Institute of Technology (lecturer and teaching fellow)
**Award**
Postdoctoral Shapiro Fellowship (2012)
Publications
A Supervised Approach For The Detection Of Surface Oxides From Hyperspectral Measurements2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), Sep 2022, Rome, Italy. pp.1-5, ⟨10.1109/WHISPERS56178.2022.9955061⟩
Conference papers
hal-03885991v1
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Characterization Of Surface Oxides From Hyperspectral Measurements2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), Sep 2022, Rome, Italy. pp.1-5, ⟨10.1109/WHISPERS56178.2022.9955055⟩
Conference papers
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Function Decomposition in Main and Lesser PeaksInternational Symposium on Mathematical Morphology, May 2017, Fontainebleau, France. ⟨10.1007/978-3-319-57240-6_26⟩
Conference papers
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Computational material design of filled rubbers using multi-objective design exploration10th European Conference on Constitutive Models for Rubbers (ECCMR), Aug 2017, Munich, Germany
Conference papers
hal-01609886v1
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Hierarchical Segmentation Based Upon Multi-resolution Approximations and the Watershed TransformAngulo J., Velasco-Forero S., Meyer F. (eds) Mathematical Morphology and Its Applications to Signal and Image Processing. ISMM 2017. Lecture Notes in Computer Science, vol 10225. Springer, Cham, Apr 2017, Fontainebleau, France
Conference papers
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Cold spray of metal-polymer composite coatings onto carbon fiber-reinforced polymer (CFRP) International Thermal Spray Conference 2016 (ITSC 2016), DVS, May 2016, Shanghai, China. 7 p
Conference papers
hal-01337696v1
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A Bayesian Approach to Linear Unmixing in the Presence of Highly Mixed SpectraAdvanced Concepts for Intelligent Vision Systems: 17th International Conference, ACIVS 2016, Oct 2016, Leecy, Italy. pp.263--274, ⟨10.1007/978-3-319-48680-2_24⟩
Conference papers
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3D Morphological modeling of a polycrystaline microstructure with non-convex, anisotropic grains14th International Congress for Stereology and Image Analysis (ICSIA), Jul 2015, Liège, Belgium
Conference papers
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In situ determination of th local rheological parameters of a fluid by inverse method2nd International conference on material modelling, incorporating the 12th European mechanics of materials conference, Aug 2011, Paris, France. pp.238
Conference papers
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Characterization of surface roughness by means of wavelet analysis13th International Conference on Metrology and Properties of Engineering Surfaces, Apr 2011, Twickenham, United Kingdom
Conference papers
hal-00835058v1
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Efficient estimation of eye fundus color image quality with convolutional neural networksAssociation for Research in Vision and Ophthalmology, 2018, Honolulu, United States
Conference poster
hal-01983006v1
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Fast Marching Based Superpixels GenerationBurgeth B., Kleefeld A., Naegel B., Passat N., Perret B. (eds) Mathematical Morphology and Its Applications to Signal and Image Processing. ISMM 2019. Lecture Notes in Computer Science, vol 11564. Springer, Cham, pp.350-361, 2019, ⟨10.1007/978-3-030-20867-7_27⟩
Book sections
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Modélisation de la rugosité et de l'aspect de surfaces d'acier peintesMatériaux. École Nationale Supérieure des Mines de Paris, 2011. Français. ⟨NNT : 2011ENMP0060⟩
Theses
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Image processing for materials applicationsComputer Science [cs]. Institut Polytechnique Paris, 2023
Habilitation à diriger des recherches
tel-04379317v1
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