Through a Mitacs Elevate fellowship with Humanitas Solutions, a Montreal start-up that partners with humanitarian organizations, David is working alongside a team of developers on an remotely piloted aircraft project that will one day play an important role in relief efforts for humanitarian organizations.
A new research project between Anne-Laure Ménard, a postdoctoral fellow based at Laboratoire d’Imagerie Orthopédique (LIO) at Hopital du Sacré-Coeur in Montreal, and sports equipment company CCM Hockey is integrating biomedical engineering and skate design to provide customized hockey skates. The project began when Anne-Laure started looking into industry opportunities as she was nearing the end of her PhD at Polytechnique Montréal. “I reached out to a professor at École de téchnologie supérieure who happened to be in contact with CCM Hockey,” she explains.
The operation of an underground mine site requires the execution of multiple tasks and involve many human and material resources. The execution of these tasks is then limited by many constraints including the order in which certain task must be done, the limits on availability of resources, congestions in the distribution of resources and many others. Because of this, scheduling the activities in an underground mine is a very complex and demanding task. In most mine, an experienced mine planner must work full time in order to achieve a good and feasible planning.
The two last years, the emergence of car mobile applications (Uber for example) has disturbed the taxi industry. This new market is becoming more predominant and no solution has been found to reach an objective equilibrium with the older modes of transport. This problem is appearing all around the world with different companies depending on the country. By analyzing a group of precise data and with complex simulations gathering the different transport modes, the project wants to have a better comprehension of this new phenomenon.
Pratt & Whitney Canada (PWC) seeks to improve the monitoring of its machining process aiming to reduce cost and prevent the tools, workpieces and machine damages during the machining. To achieve this improvement, data mining and advanced artificial intelligence technique which called Logical Analysis of Data (LAD) is used. LAD has ability to identify conditions of tools and of determining which machining conditions can indicate the tool failure or degradation is happening, and which can be considered redundant.
Montreal-based start-up incubator TandemLaunch is the recipient of the Mitacs Industry Award for Exceptional Leadership for its contributions in creating opportunities for Canada’s next generation of entrepreneurs.
Luz Anchondo Vásquez has always had an interest in helping people. She’s combining that interest with her mechatronics background, thanks to the Globalink Research Internship.
Luz first heard about the Globalink Research Internship through her university, Mexico’s Tecnológico de Monterrey Campus Chihuahua. With the support of a friend who was a previous intern, Luz applied and was matched on a project with Dr. Lionel Birglen at École Polytechnique de Montréal’s Mechanical Engineering department.
Among the different sub-systems in an aircraft, the environmental control system is the one responsible for the control of temperature, pressure and humidity in the cabin and is crucial to passenger comfort. This system has around 40 components including heat exchangers, compressors, and turbines. Recirculation at different levels complexifies the modeling and simulation of such a system. The importance of modeling this system lies in the fact that one has to verify that the cabin comfort is assured under various operating conditions.
Atherosclerosis is a disease characterized by chronic inflammation and LDL deposition in the lumen of the arteries. This process can result in stenosis or thrombosis. More than 33% of Canadian deaths in 2011 were due to cardiovascular events (major chronic diseases surveillance online). Canadians lose an average of 4.5 years of life expectancy due to CVD.
Aviation industry uses flight data recorders (FDR) to monitor a high number of parameters during each flight it operates. It is expected that analyzing this data will provide useful information to airlines for improving flight safety and efficiency. However, this analysis is a challenging task in itself because the amount of accumulated data is enormous and also because it is diverse. To overcome these difficulties, data is first preprocessed (or cleaned) and only significant parameters are kept.