In recent years, face recognition algorithms based on deep neural networks have achieved human-level performance when tested on face recognition database. However, when put into real-world application, those algorithms are not robust enough, due to factors such as different lighting conditions, camera distance, and face orientations. In this project, the university team and the partner […]

Mobile health (mHealth) strategies hold a great promise to enhance treatment outcomes while mitigating health care costs (Hayes et al., 2014). It allows health care providers to tailor treatments to each individual based on their lifestyle. The primary objective is to involve COPD patients and their health care providers in the development of a mobile […]

Upon completion of the project the interns work will allow the partner organization to better understand how inventory management is handled in small businesses. The project will also help understand what inventory levels should be for small businesses based on predictive analytics. With this knowledge the partner organization can better understand how it can help […]

The proposed research project focuses on the development of a novel model for the computation of sea ice parameters in near real- time relying on satellite data. The interdisciplinary team will investigate solutions for high performance computing to monitor sea ice and calculate ice parameters with the high spatial resolution. This project includes R&D activities […]

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The proposed research project will take place on three nature reserves owned by the Nature Conservancy of Canada (NCC) (Miscou, NB – 780 acres, Escuminac, NB – 630 acres, Salmonier, NL – 440 acres), where NCC wants to understand how the land is being used by the community, the motivation and beliefs of those using […]

This MITACS proposal focuses on the chemical processes occurring that may enhance or inhibit microbial growth, identify and detect key microbial chemical precursors to MIC, and development of models to predict/mitigate MIC. It is part of a much larger Genome Canada project where the information and models developed in the proposal will be used in […]

Amines and phosphines are organic molecules used in every aspect of modern chemistry. Nonetheless, synthetic protocols for the preparation of valuable asymmetric compounds are limited. The project aims at developing atom- and cost-efficient catalysts that will enable the convenient syntheses of these fundamental chemicals. We will develop catalysts based on titanium, zirconium and hafnium, three […]

Prior research has shown that rolling muscles can increase flexibility without performance decreases. These studies have used a variety of rolling pressures (intensities). It is not known whether higher or lower rolling pressures are better for improving flexibility. Thus one of the studies will examine different pressures of rolling on flexibility and muscle performance. On […]

The proposed research will allow us to determine how the human central nervous system (i.e. brain and spinal cord) functions to produce different intensities of muscle contractions with and without fatigue. We will use a variety of stimulation technics to determine how active the brain and spinal cord are during the arm contractions. We do […]

This project focuses finding solution for acquiring super resolution image from objects submerged in turbid media. The project group will look at various environments including high pressure / high temperature test setups.

ABRI-Tech and Memorial University (MUN) have been collaborating to optimize ABRI-Tech’s pyrolysis system to convert woody biomass (i.e. demolition wood waste, sawmill residues, forest residues, agricultural and other residues) to bioproducts.