Contact
Address
Laboratoire d’Informatique, de Modélisation et d’Optimisation des Systèmes LIMOS (UMR6158, CNRS Clermont-Auvergne University)
F110 ISIMA
Campus Universitaire des Cézeaux
1 rue de la Chebarde
TSA 60125
CS 60026
63178 Aubière
France
Chafik Samir is an Associate Professor (HDR) at the University of Clermont Auvergne (UCA) and an expert in statistical shape analysis and artificial intelligence at LIMOS.
Short CV
Chafik Samir obtained his Ph.D. degree from Lille 1 University of Science and Technology in 2007. After spending two years as a post-doc at the Catholic University of Lille (UCL), he joined UCA in 2009. His main research interests involve: Artificial Intelligence / Machine Learning ; Statistical Shape Analysis: Functional, curves, surfaces, 4D; Regression On Riemannian Manifolds ; Functional Patterns Analysis and their applications to real world problems.
Selected publications
- Samir & Huang. 2021. Coordinate descent optimization for one-to-one correspondence and supervised classification of 3D shapes. Applied Mathematics and Computation 388: 125539.
- Fradi & Samir. 2020. Bayesian cluster analysis for registration and clustering homogeneous subgroups in multidimensional functional data. Communications in Statistics – Theory and Methods 1-17.
- Braga et al. 2019. Cochlear shape reveals that the human organ of hearing is sex-typed from birth. Scientific Reports 9: 10889.
- Braga et al. 2019. Efficacy of diffeomorphic surface matching and 3D geometric morphometrics for taxonomic discrimination of Early Pleistocene hominin mandibular molars. Journal of Human Evolution 130: 21-35.
- Samir et al. 2006. Three-Dimensional Face Recognition Using Shapes of Facial Curves. IEEE Transactions on Pattern Analysis and Machine Intelligence 28: 1858-1863.