Chafik SAMIR

Chafik SAMIR

Associate Professor

About me

Chafik SAMIR is an Associate Professor at UCA and co-head of MOCA team at LIMOS Laboratory, France. He obtained his PhD from USTL in 2007. After spending two years as a postdoctoral fellow in the Machine Learning Group at UCL, he joined UCA as an Assistant Professor in 2009. His main research interests are :

  • Artificial Intelligence: Vision and Learning
  • Gaussian Processes: Spatio-temporal, Deep, Constrained, Reduced, Scalable
  • Regression: Optimization and Fitting on Manifolds

  • Shape Analysis and Patterns: Functional, curves, and surfaces

  • With applications to real world probelms : Medical, Artificial Vision, Data Science, Indiustrial, Paleontology, Genomics, etc.

News

Best Paper Award :

A. Fradi and C. Samir, “Learning and Regresssion on Grassmann Manifolds”, PC International Conference on Artificial Intelligence, December, 2023

Conferences organization and recent events

  • MLOMA: Machine Learning, Optimization and Manifolds, December 22, 2023, Clermont-Ferrand, France. link

  • Springer book: Our book Regression and Fittting on Manifold-valued Data has been accpted for publication and will be available as paperback on 09/2024.

  • Transfer Learning Workshop at IJCNN 2024, June 30-July 5, 2024, Yokohama, Japan. link

  • Our paper “A New Framework for Evaluating the Validity and the Performance of Binary Decisions on Manifold-valued Data” has been accepted for oral presentation @ECMLPKDD2024 (24% acceptance), A. Fradi and C. Samir (2024)

  • Our paper “A New Bayesian Approach to Global Optimization on Parametrized Surfaces” has been accepted for publication in Journal of Optimization Theory and Applications, A. Fradi, I. Adouani, and C. Samir (2024)

  • Our paper “Cubic Hermite Interpolators on the Space of Probability Measures” has been accepted for publication in Journal Mathematical Methods in the Applied Sciences, I. Adouani, T. T. Tran, and C. Samir (2024)

Open positions

  • Post-doc: Deep Gaussian Process for Transfer Learning
  • Master project: Geometric deep learning for extracting 3D curves from cochlear surfaces
  • Other positions soon
  • Feel free to contact me by email for more details