The intern will be asked to develop a detailed market segmentation model and assess how key players in the model may be affected in the next 18 months and 36 months. If time allows the intern will also be asked to research strategies for reaching key client clusters in the absence of trade shows. The […]

The project proposes to collect information on manufactures across Ontario in all different industries. This allows for governments and institutions alike to understand and have an idea on what manufactures are not only producing but what they are capable of, especially in current COVID-19 times where governments are trying to understand where they can source […]

My role is as a market research intern at Groupanizer, a SAAS company that currently provides services to the non-profit sector. Currently, most of their customers are choirs, who are struggling due to the coronavirus pandemic. Therefore, it is my role to investigate new possible markets for Groupanizer to enter.

Automatic speech recognition (ASR)-based services have become an indispensable part of our daily life, thanks to products such as Apple Siri, Google Home, and Amazon Alexa. More and more smart home appliances are also controlled by voice. However, most of these services rely on speech recognition and natural language understanding services running in the cloud, […]

In this project we will conduct Social network analysis (SNA) of MyCA user network, in order to assess the interplay between social influence and the diffusion of information within the MyCA platform. SNA offers a convenient method to represent and analyze interactions among the components of a system. SNA can thus provide an abstract representation […]

Current quantum computers are in the “NISQ”, or Noisy-Intermediate-Scale-Quantum regime. The true potential of quantum computing will only be realized when noise levels are reduced or controlled, and large scale is achieved. Xanadu’s approach is to use photonic technology as the building blocks of their machines. This project addresses two related questions concerning the future […]

Data analysis plays an important role in healthcare as it enables service providers to discover hidden knowledge in the data, allowing them make more informed decisions about patients’ health. The continuing increase in the amount of data and lack of skilled people, however, has made data analysis very challenging. This project aims at developing web-based […]

We are launching an innovative new business that will deliver premium, hospital-grade sanitization services to small and medium businesses impacted by COVID-19. In Vancouver alone, 14,000 businesses have faced mandatory closures as a result of COVID-19. More than 80 percent of restaurants and hotels are closed, and getting these businesses back open and operating safely […]

Malgré les efforts consacrés à la détection des problèmes de sécurité dans les systèmes informatiques, de nombreux défauts s’échappent sur le terrain, provoquant de graves défaillances et d’énormes pertes financières. Pour identifier la nature des problèmes, les développeurs de logiciels s’appuient fortement sur l’analyse des journaux (logs), générés lors des exécutions du système. Les logs […]

Yalty Software is a start up aiming to resolve pain points in the e-commerce ecosystem. We have been working with student teams from CDM and BCIT to create parts of our total platform. We had been in the process of a funding round in February/March when the uncertainty caused by COVID-19 slowed or stopped investment […]

Developing a drug for new diseases cannot only be challenging but also time consuming. From the identification of a druggable target to a compound which can improve a condition it usually takes more than 12 years. Since there is basically an infinite number of possible compounds which can be turned into a drug it is […]

The project aims predict the demand of customers for small and medium size businesses. Forecasting models will be developed analyze historical data to understand patterns and correlations. Machine learning will be applied to determine how the accuracy can be improved over existing statistical methods, such as Fourier Regression Analysis which is commonly used in retail […]