Submitted by tbarry on 08/01/2019
Karthik, an undergraduate student at National Institute of Technology in Hamirpur in India, has joined Associate Professor Andrew Park this summer for a 12-week Mitacs Globalink research internship. He’s helping to develop an algorithm that can accurately and precisely identify the most likely location of a potential sniper attack on a public gathering.
Submitted by tbarry on 07/30/2019
With one in four recent Canadian STEM graduates leaving the country, citing better job opportunities abroad*, talent migration affects us all. A shortage of talent in the fields of science, technology, engineering, and math constrains Canada’s potential for economic diversity, development, and innovation.
The Royal Bank of Canada (RBC) may have found a solution to Canadian brain drain. Its research and development unit, Borealis AI, supports innovation through scientific study and exploration in machine learning and artificial intelligence.
Hearts electrical activities are traditionally collected by employing multiple electrodes that are connected the patients body and collected and recorded on an electrocardiogram. The objective of this project is to enhance the patients comfort and allow for a continues ECG monitoring with improved flexibility while minimizing the sacrifices of detected and accumulated data. In this proposal an unconventional method is suggested that employs physically separated sensors and circuits to enhance patient comfort and allows for a better flexibility.
While agricultural migrant workers provide much needed labour in Canadian agriculture, they feel alienated from the host society. Their alienation and exclusion is related in part to the working and living conditions migrants experience in Canada.
In this research project, strength and behaviour of bonded joints is investigated under various loading and geometrical conditions. The interns will prepare specimen in accordance with industry guidelines, test the specimen and record data. Interns will study and investigate the joint behavior under several different scenarios, will model material behavior from the test data. This will enable making reliable prediction of joint performance under different application-specific conditions, using finite element modeling and analysis.
Cyanotoxins, produced by blooms of cyanobacteria, have been a cause of concern, as they have the potential to compromise animal and human health. Because of increased nutrient loading and climate change, occurrence of cyanobacterial harmful algal blooms and their toxins are increasing globally. The presence of these compounds in the Great Lakes and other water sources in Canada, the United States and worldwide, presents challenges for municipalities that are treating and distributing drinking water.
There is an increase in brain diseases like Alzheimers and Parkinsons diseases as the number of aged individuals is increasing. Currently there is no treatment available that can halt the progression of these diseases. Previous work has shown that a natural compound CoQ10 can prevent brain cell death. Similarly an Ayurvedic Herbal extract, Ashwagandh Root Extract has also shown promising results in some studies. In the present research project we will prepare a novel water-soluble formulation of CoQ10 and Ashwagandha Extract using a patented technology of Nextremedies Inc.
This research work will collect data from various concrete bridges to determine the structural heath of the bridges. These data will be analysed, and a report will be provided to MEDA Engineering & Technical Services with recommendation on rehabilitation and strengthening actions needed for various components of these bridges. This research project will also develop a new strengthening technique for bridge girders that are weak in transferring shear load. A postdoctoral fellow will be hired to execute this project with the supervision of Dr.
The proposed research will report and deliver a critical review of the current and relevant studies on community annoyance and human health impacts due to noise related to airport and aircraft operations. It will also investigate, identify and analyse the relevant factors, other than the traditional noise metrics (eg., LDN, CNEL, Leq, etc.), associated with community noise annoyance.
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