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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If the ability to think seemed reserved for humans, we now know that the computer can learn to see, engage in dialogue, predict and create on its own. This form of artificial intelligence is linked to the exponential growth of data which itself fuels research at Polytechnique Montréal.
Researchers use this data to create algorithms in the area of health, transportation and communications, among others. Their research work increases the security of information systems, improves the diagnoses and prognoses of patients suffering from neurodegenerative diseases, optimizes supply chains and aids in decision-making.
Thanks to the modeling tools at the heart of their research projects, researchers also work on predicting the behaviour of fluids, planning and measuring the impact of urban mobility, anticipating production issues and the distribution of consumer goods.
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 $20,663,641 in its Modeling and Artificial Intelligence Sphere of Excellence thanks to support from the Canada Foundation for Innovation, the Government of Quebec and other partners.
*Inter-university research units
VADO Institute
The IVADO Institute is a $240 million joint initiative between the Université de Montréal, HEC Montréal, Polytechnique Montréal and several other partners aimed at harnessing the full potential of big data. Its research activities are uncovering the potential for new discoveries, technologies, processes and products that will help us become a true knowledge-based society. IVADO uses an approach that's based on a unique combination of machine learning/deep learning and operations research—the science of optimization.
Canada Excellence Research Chair (CERC)
In 2018, Polytechnique Montréal, along with Université de Montréal and HEC Montréal, was awarded one of 20 prestigious Canada Excellence Research Chairs. The CERC in Data Science for Real-Time Decision-Making (Professor Andrea Lodi) draws on in-depth expertise in operations research and data science, while closely collaborating with an extensive network of academic and industrial experts who have helped make Montreal an international knowledge hub in this field. At a time when governments, scientists and policy makers are relying on ever-increasing volumes of data to make informed decisions, this CERC aims to generate important applications for various sectors, including digital economy, transportation, energy, finance and production management.
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 Modeling and Artificial Intelligence 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.
Professor: Brunilde Sansò
Department: Electrical engineering
What will be the impact of COVID-19 on the smooth functioning of telecommunications? Will deploying an Internet of things to create smart cities affect human communication? What will be the impact of 5G on the performance of certain applications? These are just some of the questions Professor Brunilde Sansò and her team are aiming to answer by studying the impact of situations, events and technology on the performance and reliability of telecommunications networks.