Gated and RGB Fusion for Robust Perception

Robust perception in all weather conditions is a critical requirement for autonomous vehicles. This project proposes fusing gated and conventional RGB camera images for robust scenes encoding, depth estimation and trajectory prediction. Conventional approaches using lidar and RGB camera fail to perform robustly in rain, fog and snow. By extending existing computer vision algorithms to […]

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Constrained Batch Estimation for Train Positioning with Inertial Sensors

Similar to current efforts in the automotive industry, there is a substantial interest in developing fully autonomous trains. One of the key steps towards enabling autonomous operation is being able to accurately estimate train position and speed. In addition to this, better estimates will also increase safety and reduce distance between trains, allowing more frequent […]

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Balancing organic nutrient solution for hydroponics using specific ion monitoring.

Cannafish is a Startup working with hydroponic farmers to include manure and compost in their fertilisation plan. Doing so, they reduce the use of chemical fertilizer in hydroponics while valorizing organic residual matter. However, to replace chemical with organic fertilizers requires good practice and precision to achieve competitive yield. Hence, using a specific ion monitoring […]

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Investigation of Low-Ductility Geogrid Reinforcement for Ground-supported Concrete Structures

Steel rebars are the dominant reinforcement elements in reinforced concrete structures due to their relatively adequate manufacturing, material property and established construction codes. In an ideal environment and under nominal loading, conventional concrete reinforcement is expected to govern the design strength based on which they are designed. However, under environmental loading conditions, such as very […]

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New therapeutics against T-cell acute lymphoblastic leukemia

A protein named c-Myc is causally implicated in over 50% of all human cancers. Preliminary work supports two proteins (POZ domain protein and c-Myc cofactor Miz-1) as a new drug target to disable c-Myc function. We have identified small molecules which act on this target and will now serve develop a series of optimized and […]

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Data Science in Pilot Performance Assessment

Automatically assessing a pilot performance during a flight training session is a capability that can enhance the flight instructor during his duty. From data gathered during a flight maneuver, we are looking for a way to automatically assess pilot performance to augment instructor performance and provide objectivity during flight training assessment.

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Promoting Water Stewardship Through Citizen Science with Water Rangers

Water Rangers uses citizen science to acquire baseline data for water bodies across Canada by giving and selling testkits to volunteers across Canada. This project will explore who is most likely to take part in water testing, what engagement strategies reduce dropout rates, and how testing water increase environmental concern by changing values and people’s […]

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Graph-based learning and inference: models and algorithms

Learning from relational data is crucial for modeling the processes found in many application domains ranging from computational biology to social networks. In this project, we propose to work on developing modeling techniques that combine the advantages of the approaches found in two fields of study: Machine Learning (through graph neural networks) and Statistical Learning […]

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Optimization of Bioink Composition for Efficient Mesenchymal Stromal Cell Chondrogenic Differentiation in an Animal Component-Free Culture

Culture of cells in three-dimension (30) allows cells to interact with their surrounding and grow in all directions and behave in a manner that is more closely associated to how they would in vivo as long as their nutrient and environmental requirements are maintained. In this context, bioprinting offers an advantage over 20 cell cultures […]

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Optical Fiber Communications Systems

Optical fiber communications systems are used throughout the global communications network to transmit information over distances ranging from several kilometers to thousands of kilometers. This infrastructure is the backbone of the Internet that is used on a daily basis worldwide. Applications driving demand for increased capacity include (i) video streaming services, (ii) cloud based storage […]

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