## Research

### Research Interest

• Signal & Image Processing.

• Applied Mathematics.

• Machine Learning & Pattern Recognition.

• Statistical signal processing.

### Previous research

• 2012 - 2015

New statistical modeling of multi-sensor images with application to change detection

PhD. Thesis.

Areas: Signal Processing, Image Processing, Applied Statistics.

Abstract: This Ph.D. thesis aims at evaluating the interest of using multivariate distributions for the analysis of heterogeneous images. The considered heterogeneous data are composed of images acquired by different sensors (including optical, radar and hyperspectral sensors) and possibly of an object database (containing roads, building, etc.). The applications considered in this thesis are mainly image registration, change detection and database updating. All these applications require to define a similarity measure between the different images or between features estimated from these images (called modalities).

Partners: This thesis was conducted in partnership with the CNES.

• 2008 - 2012

Speaker Verification

Areas: Biometric Recognition, Voice Processing, Signal Processing
• 2011

Depth from focus

Project Tutoring

Areas: Image Processing.
This project consisted on estimating the depth of different objects from a pair of image taken from the same angle, a shallow depth of field and different focal plane.
The main areas of this project involved modeling the Point Spread Function (PSF) introduced by the lens, estimating the model parameters on the different regions of the image using the Discrete Fourier Transform, and estimating the object depth from these parameters. Limitations arising from the non injective nature of the PSF as a function of the depth were also studied, leading to the proposal of an optimal camera configuration based on the desired depth range.
• 2009 - 2010

Three-phase Switching Power Factor Corrector

Areas: Power Electronics.
The objective of this project was designing a power factor correction device using switching technology, as well as analyzing its time between failures, cost and commercial viability.
The system consisted of a measurement unit, a control unit and a switching current management unit. The measurement unit measures the instant voltage and current consumption using hall effect sensors. This information was then used by the control unit to compute the instantaneous current difference between the actual consumption and the consumption of a pure resistive load based on the dqo transform. Then the current management unit injected the current difference into the system through a switching current power supply to compensate the actual load consumption. The system designed was able to compensate the power factor arising from either inductive, capacitive or non linear loads.
The results of this project were presented on the ITBA fair of electronics, where it was chosen as the best R+D project by four of the fair sponsors.
• 2009

8051 Dualcore Pipeline Processor

Areas: Microprocessors Architecture, FPGA.