Development of an NLP Sales Assistant using Machine Learning Techniques

The main goal of this project is to develop machine learning and natural language processing approaches to help customers to communicate their preferred brands and/or retailers via Heyday solutions. These approaches will automate answers and help to humanely engage with customers. In order to reach these objectives, some challenges will be tackled such as automatically […]

Read More
Prediction and Mitigation of Drillstring Vibration

An oil well drillstring is a slender slru(.;ture whidl vibrales in 3 major coupleu moues. Unwnlrolkd vibration of the drillstring interferes with the drilling procedure. Tool and bit failure, improper borehole quality and lower penetration rates are examples of the side effects of unwanted vibration of the drillstring. Prior research by others has attempted to […]

Read More
A cloud?based, multi?modal, cognitive ophthalmic imaging platform for enhanced clinical trial design and personalized medicine in blinding eye disease

Age Related Macular Degeneration is the leading cause of irreversible blindness in Canada and the industrialized world, yet there are no treatments for most patients. Tracery Ophthalmics has developed an imaging method, “AMD Imaging” (AMDI) that has generated unprecedented pictures of the retina (film of the eye) that include both known and unknown “flavours” of […]

Read More
Bond Pricing AI Improvement

The fixed-income market consists of government and corporate bonds and other debt instruments which are used to finance operations and capital investments. The bond market remains heavily reliant on exchanges of information between counterparties and as a result information on prices is decentralized and market participants operate with different levels of information. The objective of […]

Read More
Développement de composantes logicielles intelligentes pour la gestion des flux de trésorerie

Le projet vise à développer de nouvelles composantes intelligentes pour un logiciel financier. Ainsi, différentes problématiques devront être résolues à l’aide de techniques statistiques et d’apprentissage machine et profond. Les données disponibles étant principalement du texte, le projet nécessite une étape de transformation afin de rendre les données utilisables dans les modèles appropriés. Des modèles […]

Read More
Determination of emerging contaminants-loaded on sludge-based activated carbon: chemical leachability and stability

Sewage sludge wastes have been treated by diverse techniques to obtain sludge-based activated carbon (SBAC). These materials show excellent properties as sorbents of, e.g., organic pollutants, heavy metals, and nitrogen/phosphorous-based nutrients. In a previous research, the loading of emerging contaminants on SBAC has been achieved. As an extension of this work, we propose to study […]

Read More
Design and development of techniques to characterize optical, mechanical and chemical properties of metallic and semiconductor thin films with applications in MEMS structures and their packaging

Micro-Electro-Mechanical Systems (MEMS) are complex systems with sizes in the range of few microns (human hair has thickness of 150-200 microns) which have both mechanical and electronic components. MEMS technology has entered in many industries such as optical technology, point of care diagnostics, telecommunications, automotive, and military. Today, there are hundreds of MEMS devices, e.g. […]

Read More
Analysis and Prototype Development of a Drive System and Novel Control Algorithm for Direct Drive Brushless Permanent Magnet Synchronous Motors

Brushless permanent magnet synchronous motors (PMSMs) are widely used in many applications including automations, instrumentation, propulsion, vehicular systems, etc. This project is focused on research and development of a modified drive system and novel control algorithms for PMSMs that could improve efficiency and torque performance compared to conventional methods. Collaboration with the University of British […]

Read More
Translating behavioural science into effective hiring practices

While companies are looking to hire the most qualified candidate to fill their positions, they often have a difficult time identifying the right candidate for the job using traditional hiring practices. However, one major barrier is that companies may over-rely on traditional hiring methods such as interviews that may not be the best way to […]

Read More
Intelligent Cyber-Physical Situational Awareness for Smart Infrastructures

The availability of big data in smart infrastructures have become a strategical asset for operators to understand the situation of the infrastructure and monitor potential threats. However, most of the data still have not circulated beyond traditional corporation and technological boundaries, which have limited the visibility that could have been provided by the abundant data. […]

Read More