Consult information sheets about our professors and details about their research work by consulting the directory of expertise at Polytechnique Montréal.
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Technological boundaries are constantly being pushed, allowing us to be better informed and to communicate more easily. New technologies are put to the test to create more intelligent cities, to develop autonomous systems, to facilitate medical imaging and to create augmented reality.
Polytechnique Montréal researchers are focused on information and communication technologies that use big data and the Internet of Things to connect and manage systems, to increase computer security, to improve human-machine interaction, to accelerate access to information and to develop tools that enable text, speech and pattern recognition.
Research projects include the design of software systems for self-driving cars, the development of swarm robotics for Mars exploration, for example, the optimization of the supply chain and issues related to the deployment of 5G communication technologies.
IN RELATION TO THIS SPHERE OF EXCELLENCE |
Consult information sheets about our professors and details about their research work by consulting the directory of expertise at Polytechnique Montréal.
Since 1999, Polytechnique has invested $83,938,834 in its New Frontiers in Information and Communication Technologies Sphere of Excellence thanks to support from the Canada Foundation for Innovation, the Government of Quebec and other partners.
*Inter-university research units
EXAMPLES OF MASTER'S AND PHD PROJECTS OFFERED |
Every year, Polytechnique Montréal offers hundreds of project opportunities for graduate students. To give you an idea of the wide range of topics our researchers are working on, here are a few examples of the projects being carried out at the university in connection with the New Frontiers in Information and Communication Technologies Sphere of Excellence. Keep in mind that this list isn't exhaustive.
Click here to see all the projects currently offered by and find the one(s) that align with your interests.
Professors: Andrea Lodi, Daniel Aloise et Antoine Lesgrain
Departments: Computer Engineering and Software Engineering; Mathematical and Industrial Engineering
The team of the Canada Excellence Research Chair in “Data Science for Real-time Decision-Making” works at the intersection of Machine Learning (ML) and Discrete Optimization (DO). In Machine Learning, our approach develops and uses ML algorithms that, empowered by a large quantity of data, allow us to design data-driven models for decision-making. These models are then solved by DO techniques which are in turn data-driven and innovative.