Hydrogel Ionotronic Solar Cell

Solar power currently makes up a tiny fraction of all global energy needs. The current silicon based solar cell technologies which on average operate at around 15-17% efficiency have low likelihood of being a total fossil fuel replacement. They have very slow energy payback, their mass production cost savings are hitting a wall, and they […]

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Synthesis, Reactivity and Catalysis with Boron-Containing Nickel Complexes

Boron-containing organic materials are increasingly important in high-tech applications such as sensors, optoelectronics and pharmaceuticals. We recently developed a highly reactive nickel precursor that was able to activate a variety of substrates and showed a strong predilection for unsaturated systems. The proposed research aims to test the ability of this system to activate a variety […]

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Using document embedding for code completion

Dans les recherches récentes en génie logiciel et plus particulièrement en compréhension du logiciel, une grande partie des approches utilisent des techniques issues de la communauté du traitement automatique des langues naturelles. L’utilisation de ces techniques de traitement des langues au logiciel s’est avérée être efficace pour capturer des informations textuelles et sémantiques dans des […]

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Vibration Analysis: Fault detection, classification, prediction

Vibration analysis is probably the most widely used technique to perform health monitoring of mechanical machinery. Specifically, we are interested in monitoring ‘Vibrating screens’, machines that are for example used by the mining industry to sort aggregate by size. Over the last 10 years the research group of Dr. v. Mohrenschildt has developed hardware, software […]

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Tensor based machine learning with human computer interaction applications

In this research, first we will using tensor network techniques speedup the processing in neural network since computational cost is a major bottleneck in neural network based deep learning. Note that the weight matrix in each layer of neural network is with huge size, because of millions of parameters. This may cause large time complexity […]

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Recurrent neural network modeling of working memory

The temporary maintenance of information is known as working memory, and it enables behaviour that we take for granted, such as remembering a phone number or avoiding an obstacle after turning off the lights. Despite its importance for everyday behaviour, the neural mechanisms underlying working memory are/remain unclear. While some single-neuron recordings in monkeys correlate […]

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Wind Field Estimation, Exploitation and Guidance for Unmanned Aerial Vehicles

Unmanned aerial vehicles (UAVs) have become increasingly used in the fields of data collection, surveillance, and search and rescue missions. For many UAVs, knowledge of the instantaneous wind speed and direction and overall wind field are of interest, as this knowledge can help better control the position and orientation of the UAV in heavy wind. […]

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Impedimetric Sensor for Detection of ?9 -Tetrahydrocannabinol (THC)

Although cannabis was legalized in Canada for recreational use in October 2018, there remains no effective method to determine roadside cannabis impairment. The state of the art device for detecting cannabis use roadside is saliva-based which has several flaws, including the fact that THC remains in saliva up to 72 hours after intake. In this […]

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All-Mach 3D Aerodynamic Design System (HALO3D) for Next-Generation Hypersonic High-Altitude Low-Orbit Commercial Aircraft

The future of aviation is (much) faster travel with (significantly) lower environmental impact (pollution, noise, etc.). In another couple of decades, hypersonic flight (5-10 times the speed of today’s aircraft) will be a serious contender. Tom Clancy prophesized having breakfast in Washington and be back in time for lunch after conducting business in Europe: that […]

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Hardware Aware Acceleration For Deep Neural Networks

The result of this project (which will be demonstrated by a use case) can make health equipments to be used outside of hospitals. This is achieved by reducing the computation cost of running Deep Learning models by 3rd party tools and use our accelerator solution to run the size reduced and optimized model. This greatly […]

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Fusion de SLAM et GPS pour véhicule militaire autonome

L’entreprise Rheinmetall Canada développe un véhicule militaire autonome qui a la faculté de se déplacer dans des environnements jugés dangereux et accidentés, sans l’intervention d’un pilote. Ce véhicule peut accomplir des missions telles que la protection des soldats et le ravitaillement des troupes. Toutefois, son système de navigation interne se base sur deux technologies, la […]

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