Toward Building a Technical Engineering Smart Search

Documentation is an integral part of any product development. Product and documentation should co-evolve; whenever the product is changed the documentation should be updated and vice versa. Yet, oftentimes, multiple documentation and product versions may exist; between and within the documentation of the product, relations and dependencies may or may not be explicit, documented, trustworthy […]

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Metamorphic Testing of Deep Neural Networks

Nowadays, we are witnessing a wide adoption of Machine learning (ML) models in many software systems. They are even being tested in safety-critical systems, thanks to recent breakthroughs in deep learning and reinforcement learning. Bombardier, a world leader company in the domain of aerospace have started integrating deep learning models in its products, systems and […]

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Need Definition and Need Mapping Methods for Innovation Projects

User needs analysis is a major concern in innovation projects and needs analysis methods differ in level of details, information overview, structure, interrelations, transparency, and ease of use. Depending on the project, the involved stakeholders, the required level of details, and time constraints, it is not clear which method should be used and why. The […]

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Data fusion strategies for reducing the uncertainty of point cloud data

For decades, contact probes on coordinate measuring machine (CMM) have been widely used for data acquisition in coordinate metrology, mainly because of their high accuracy. However, the acquired data is a low-density set of points, because sampling using a contact probe is a slow process. Nowadays, optical 3D scanning technologies such as structured-light scanners or […]

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Development of rheological methods to investigate the viscoelastic behavior and stability of paints

Paints are complex colloidal suspensions that usually contain binders (resins), solvents, pigments and rheological modifiers. From production to applications, these raw materials should remain uniformly mixed and stable during pumping processes and storage, as well as after application with brushes, rollers, spray guns, etc. It is very important to know how the paint behaves under […]

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Development of rheological methods to investigate the viscoelastic behavior and stability of paints – Year two

Paints are complex colloidal suspensions that usually contain binders (resins), solvents, pigments and rheological modifiers. From production to applications, these raw materials should remain uniformly mixed and stable during pumping processes and storage, as well as after application with brushes, rollers, spray guns, etc. It is very important to know how the paint behaves under […]

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Evaluation of a radiomic approach based on hyperspectral retinal imaging to predict the cerebral amyloid status for the diagnosis of Alzheimer’s disease

The project will help Optina validate and further develope a novel technology to predict the presence of significant amyloid (A?) deposition in the brain from a simple, non-invasive hyperspectral retina scan in combination with an artificial intelligence algorithm. Accumulation of A? plaques in the brain is a key hallmark of Alzheimer’s disease (AD), but current […]

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Ciena OPn Innovation WP 1.1.6 – High Speed Low Power Transceiver

The intent of this project is to address the high-speed electronic portion of a silicon photonic transceiver solution that will explore new and innovative metro reach terabit optical modems. In total there are five projects that combine to create the solution. These five project areas are silicon photonic design, high-speed electronic design, modelling, packaging and […]

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FABJRP, Towards a Fully Automated Bilingual Job Recommendation Platform

Recruitment of future employees is an essential activity in any organization, yet it is tedious and error-prone. Substantial effort is spent in rote tasks like finding candidates matching a particular job offer, contacting them, scheduling an interview and performing the actual interview, while the more interesting tasks like making a final decision on who to […]

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Predicting the Behavior of Loyalty Programs Customers Using Interpretable Patterns Based on Logical Analysis of Data

Aeroplan Inc. (“Aeroplan”) , aims to redesign and optimize its loyalty program Aeroplan via a collaboration with Polytechnique Montréal. Customers affiliated with Aeroplan’s program earn miles through their purchases and can exchange these miles for various gifts. It is essential for Aeroplan to predict customers behavior, to define the causes of certain behaviors and to […]

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A precalibrated rate-dependent constitutive model for cyclic softening

When an earthquake happens, the soil underneath structures loses all or parts of its resistance. This condition is called liquefaction (for loose sands) or cyclic softening (for sensitive clays) as the soil acts as water during the earthquake. Liquefaction or cyclic softening can damage considerably man-made and natural earth structures and cause serious loss of […]

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