This research project aims to develop data analytic technologies to achieve the smart waste and recycling management services. In the smart waste management, the information about container fill levels is captured by the sensors through the Internet of Things (IoT) in real time. A more efficient dynamic routing strategy will be developed through this research […]

Antibiotic resistance represents a major health problem for society. With the expanded use of antibiotics, microorganisms have developed various mechanisms of resistance to overcome the effects of once highly effective agents. There is therefore an urgent need to identify new therapies to counteract resistant strains. The intern will design and identify new drugs that are […]

In this Mitacs project, we examine how nascent technology advocators can successfully implement the technology in highly institutionalized settings. Using the implementation of Blockchain in healthcare data sharing as an example, we compare and contrast the implementation strategies of 6-8 start-ups or divisions of established companies, and examine how the different types of implementation strategies […]

MYANT is a pioneer in the field of smart textiles, with the first connected e-textile ecosystem that can serve as a DSL cable connecting humans to their surroundings, others and themselves. This connected eco-system or platform is named SKIIN, representing a second skin, an intelligent interface, an augmentation of the human sensory and nervous system, […]

This project will demonstrate the cause and effect of industrial material failures in the harsh Newfoundland climate under the general umbrella of corrosion. Our main focus is materials used in the marine and oil & gas industries. By simulating real-world conditions in the laboratory, we will be able to apply cutting-edge materials analysis techniques to […]

The specific investigation of the redox conditions of the Green Point Formation sediments will allow modelling the paleoceanographic conditions on a global basis particularly because the investigated formation is the Cambrian?Ordovician GSSP, which adds to the value of the contributions of the study to understanding the global distribution of source rocks around that time interval.

Research in Machine Learning and Artificial Intelligence has been applied to image recognition. Weather modeling and prediction make use of distributed computing. Forestry research produces ground cover models and economic value predictions. These active research disciplines are all implicated in the emerging area of big data analytics as applied to the needs of the industrial […]

Pascal Biosciences Inc. is a company developing immuno-oncology therapeutics to fight cancer. It was initially founded on ideas and research that originated from Dr. Wilf Jefferies’ laboratory at the University of British Columbia. Since then, the company has continued to collaborate with Dr. Jefferies and his team to forward the research, through direct sponsorship and […]

A new groundwater monitoring will be conducted consistently throughout the precipitation period (May~October) to collected a seasons worth of data around the “Engineered Forest”. The newly collected data will then be compared to historical values of the FRWMF to see if there are any observable differences between the two. This will prove there is no […]

The proposed internships aim at investigating the relevance of deep learning (DL) techniques for target detection in radar data processing. More specifically, we are looking to demonstrate the feasibility of DL techniques to deal with unusual types of data (i.e., radar data) in situations where an well performing processing with classical techniques is a challenge […]

Better understanding Drug-Drug interactions (DDIs) is crucial for planning therapies and drugs co-administration. While, considerable efforts are spent in labor-intensive in vivo experiments and time-consuming clinical trials, understanding the pharmacological implications and adverse side-effects for some drug combinations is challenging. The majority of interactions remains undetected until therapies are prescribed to patients. We propose to […]

This project evaluates the impact of customer service on customer retention and churn. In the first phase, we build a statistical model to examine drivers of customer loyalty. In the second phase, we work with customer service to evaluate the effectiveness of new customer service strategies. This project will enable the company to better predict […]