Realistic and high-performance rendering

State-of-the-art computer graphics technology allows for the generation of images and animations that border on photo-realistic quality; however, this level of fidelity is often reserved for feature-film productions where the time budget is much more flexible.

Detection and quantification of organ toxicity biomarkers

In recent years, the interest given to disease biomarkers has boomed. Biotechnology and pharmaceutical companies are exploring ways to use biomarkers to speed up the drug development process, as well as to rapidly assess  diseases state, staging, progression and response to therapy. Multiple reaction monitoring (MRM) Mass Spectrometry (MS) has been shown to be well suited for the selective and sensitive quantification of proteins in plasma and has recently emerged as the technology of choice for disease biomarker study.

A chance to excel in Canada

Together, the students and their professor developed a system to visualize the evolution of a software program from its first inception to the latest edition. The system provides useful information to software engineers and designers as they continually advance computer software packages to be faster and more user-friendly for new computer operating systems.

Taking home fond memories of Canada

However, now that she’s here, she cannot stop singing praises for the beautiful city and culture of Québec as well as the top-quality research climate which she has now been a part of.

“I wasn’t originally thinking about doing an internship abroad during my undergraduate degree, but when my Professor in Brazil told me about Mitacs Globalink, I had to apply!”

Geo-spatial Data Mining Applications in Marketing

The project will develop methods for constructing profiles and predictive models for geo-spatial data. The socio-demographic profile will be developed for the geographical areas of interest. In addition, the models will be developed to identify areas with high potential; for acquiring new customers. The targeting of these areas may be conducted through unaddressed direct mail. Methods of testing effectiveness of marketing campaign and predictive models will be developed.

Classification of Acoustic Signals using Deep Learning Architectures

The classification of acoustic signals whose factors of variation are due to different atmospheric and sound propagation effect is a challenging problem. The internship will explore new learning algorithms for this application, which have the potential to capture some of the complex structure in the data.

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