Dr. Sepulcre Yann

Areas of interest

• Elementary Mathematics
• Probability and Statistics. Machine learning.
• Algebraic structures

Teaching

• Linear Algebra for Engineering
• Linear Algebra for Electrical Engineering 1
• Linear Algebra for Electrical Engineering 2
• Integral Calculus and Ordinary Differential Equations for EE
• Differential Calculus for EE
• Fundamentals of Logic and Set Theory for Information Systems

My research is on random signal processing, especially Sparse Learning methods in the field. 

Keywords: LASSO. ECG signals. Mean Shift Algorithm. 

1. T. Trigano, Y.Sepulcre, Data-driven Parameter Selection for Activity Estimation in Nuclear Spectroscopy, in Signal Processing, 151, 99-106, Oct. 2018,                        https://doi.org/10.1016/j.sigpro.2018.05.006

2. T. Trigano, Y.Sepulcre, Y.Ritov, Sparse Reconstruction Algorithm for  Nonhomogeneous Counting Rate Estimation, in IEEE Transactions in Signal Processing 65(2), 372-385, 2017

3. T. Trigano, I.Gildin and Y.Sepulcre: Pile-up Correction Using an Iterated Sparse  Reconstruction Method, in IEEE Signal Processing Letters 22(9), 1392-1395, 2015

4. Y.Sepulcre, T.Trigano, and Y.Ritov, Sparse Regression Algorithm for Counting Rate Estimation in Gamma Spectrometry, in IEEE Transactions in Signal     Processing 61(17), 4347-4359, 2013

 5. Y. Sepulcre, J.Y. Kaminski, Using discriminant curves for surface recovering in the complex 4-dimensional projective space from two generic linear projections, in ISSAC International Conference on Algebraic and Symbolic Computation in Computer science, 6 pages, 2011.