Treaties and Boundaries Project

The role of this internship is to assist in reaching the SSHRC goal for the Dreamcatcher system of capturing cultural data, traditional ecological knowledge, and traditional land use, creating as full a historical, cultural, and economic record as possible, as well as strong land use management/consultation, water and asset management, and public health systems. This […]

Read More
Investigation of Rock Penetration and Fragmentation Problems

Anaconda Mining Inc. is experiencing three rock penetration and fragmentation problems that impact costs, recovery and overall feasibility. Through collaboration between Anaconda Mining and the Drilling Technology Laboratory (DTL) at Memorial University of Newfoundland (MUN) and the MITACS graduate internships described in this proposal, these problems will be investigated and appropriate solutions developed. The investigation […]

Read More
Improving Fishing Safety in Newfoundland and Labrador

Commercial fishing is an important part of Newfoundland and Labrador (NL) with approximately 8700 registered fish harvesters in 2014. Commercial fishing is one of the most dangerous occupations. The Newfoundland and Labrador Fishing Vessel Safety Association (NL-FVSA) has identified extreme weather events, noise and dynamic stability as three major hazards in the

Read More
Offshore oil and gas recovery using a new technology

This proposal uses ANSYS multi-physics software to perform a stress and thermal analysis and real time workshop simulation study of the new proposed IPM-ESP motor drive technology. A multi-domain system design environment can be done in the ANSYS multi-physics to provide a thorough picture of the system analysis.

Read More
Research and Development of a Novel Demo-scale Two-Stage Anaerobic Digestion Process for Renewable Energy Production and Treatment of High Strength Organic Industrial Streams

This project focuses on the research and development of a novel two-stage anaerobic digestion (AD) process to create an array of renewable products such as transportation fuels, chemicals, and plastics from sustainable biomass sources i.e. lignocellulosic crops, and to use wastes such as agricultural residues or municipal green bin collections or animal manures. The novel […]

Read More
Biomarkers for industrial mine-water treatment bioreactors

Teck Metals Ltd. is currently investigating the use of bioreactors to remove nitrate and selenium from mine-impacted water in the Elk River Valley. Successful performance of these bioreactors depends on the types of microorganisms that inhabit them, which is difficult to measure using traditional methods. In this project, the recent science of metagenomics will be […]

Read More
Performance evaluation of a Novel “Displacement Buffering System” for Buried Pipelines

ALFA Upgrades recently developed a system for buried pipelines, referred to as “Displacement Buffering System (DBS)”, to redistribute the stress and strain concentrations in a pipe and limit the allowable lateral displacement of the pipe in the incidence of large ground movement. The scope of this project includes performing experimental tests and consequently developing equations […]

Read More
Novel Biomarker Identification for Human Cytomegalovirus Disease in Transplant Patients

Organ transplants save patients with severe end stage organ failure but the need for subsequent lifelong immunosuppression can lead to a number of undesired consequences including the reactivation of viruses of donor or recipient origin. Human cytomegalovirus (HCMV) infection is the most common opportunistic infection in transplant patients and can lead to significant morbidity and […]

Read More
Using Predictive Analytics to Improve Inside Sales Performance

Lately, predictive analytics as emerged as a vital area of study for both researchers and practitioners. This trend researches into large volumn of data for hidden patterns and relationships to gain data-driven insights and predict future outcomes. Predictive analytics can help the inside sales industry obtain optimum value from a large amount of data they […]

Read More