In this project, the intern will use a recently developed interpolation technique based on the Lie group theory to enhance the quality of the classification of Synthetic Apertur Radar images. He will evaluate the effects and discuss the benefits of this interpolation on the complete set of polarimetric features extracted from a fully polarimetric SAR image. The effects on the polarimetric features will impact the performance of target recognition algorithms applied to the detection of man-made ground targets. The recognition process will be achieved by using a neural network.
This internship project aims at creating a system prototype using several surveillance cameras in order to measure customer traffic inside stores. At the moment, most counting methods use sensors that do not differentiate between repeat visits by the same individual and single visits by different individuals. Moreover, these methods cannot always distinguish between potential customers and store employees or security personnel, thus reducing the quality of the counting measurements.
In partnership with Labopharm, a leading company in optimizing the performance of small molecule drugs, a complete pharmacokinetic (PK) study of three new formulations of a commercially available drug will be performed. This study will be conducted in order to choose the most appropriate formulation in terms of bioavailability and absorption rate. Pharmacokinetics parameters of the drug will be estimated using different methods. Mechanisms of drug absorption, distribution, and elimination will also be identified.