Mecademic manufactures the smallest and most precise six-axis robot arm. The repeatability of this robot is better than 0.005 mm, but like any industrial robot, the robot’s accuracy is far worse. The only practical way of improving the robot’s accuracy is to calibrate each individual robot. While various methods for the calibration of six-axis robot […]

The main duty of Hydro-Québec is to repond efficiently to the energy demand of customers, in a safe and secure way while remaining competitive in the markets as well. The main goal of this start-up project is to support Hydro-Québec in developing a future-oriented energy system by proposing innovative technical solutions. Among these solutions, deep […]

To reduce the weidht of cars in order to reduce greenhouse gas emissions, the automotive industry has recently been turning to the extensive use of composite materials for structural applications. Magna Exteriors Inc (MEI), a world leader tier 1 automotive supplier and a division of Magna International Inc, is seeking ways to develop a new […]

In the current functional and structural neuroimaging project, we aim to identify functional and structural changes that correlate with disease presence and its severity  staging) and that can serve as a basis for future development of PD neuroimaging biomarkers. To achieve this objective we will use our expertise in functional neuroimaging of the cervical spinal cord (CSC), brainstem […]

Patients with corneal disease often require treatment with scleral lenses. Unlike regular soft contact lenses, these lenses are much larger and have a space between the cornea and the lens that is filled with fluid before lens application. These lenses are extremely useful in cases of extremely ocular dryness and in patients with irregular corneas. […]

The objective of this project is to build up an electro-biological system of high potential capacity for the removal of ammonium and phosphorus. Conventional biological treatment methods have limited capacity for removal of ammonia at higher concentrations. However, anammox bacteria have a high capacity to remove ammonium. The electro-biological treatment aims to enhance this capacity […]

Networks are moving towards being adaptive. This means that automation will be used to replace processes which are today highly manual. This project proposes a development of knowledge in the area of algorithms required to enable adaptive networks. The project will train two PhD students to understand optical networks and devise optimization algorithms in the […]

Bicycle and pedestrian counts are important data for the planning and design of safe roads. However, installing pedestrian and bicycle counters across an entire city road network is not financially viable. Therefore, a good option is to estimate counts at the network scale, using knowledge from a handful of pedestrian and bicycle counters (strategically placed) […]

Current needs for renewable and emission-free technologies imposes hydroelectric power plants to generate power in a predictable and reliable fashion. Replacing metallic to polymeric coatings in thrust bearings allows hydroelectric turbines to operate at a wider range of operation parameters. However, the sensibility of polymeric materials to the manufacturing method imposes important uncertainties on the […]

Facial expression is a universal language to convey emotions and significantly affects social interactions. While psychologists have investigated facial expressions for decades, they have recently found their way into human-computer interactions and the gaming industry. A lot of research has been published on automatic detection of human emotions given either a single image or a […]

Given a time series of returns for a portfolio of financial instruments, develop a model that accurately predicts returns which maximize profits. The objective function will take an input of financial indicators from the previous time interval and the returns from the current time interval. These indicators can explain relationships between financial instruments in the […]

The aim of this research project is to develop innovative tools that will help financial institutions deliver highly personalized services to their customers. We intend to use the most recent advances in statistical learning methods and machine learning algorithms mostly in deep learning, vector embeddings and autoencoders, to leverage the power of time series models […]