Top student from India and Mitacs Globalink intern, Hina Tomar, is helping a team at Université de Moncton to get to the root of the weed management problem on Canadian farms by designing smart agricultural drones.
A Mitacs intern and master’s student has helped Moncton-based Picomole harness the power of AI to make a major breakthrough in combining machine learning and breath analysis, which is considered a game changer in healthcare.
The human body contains over 600 muscles that connect to the brain via a network of trillions of nerves. So imagine how difficult it must be to understand how these muscles and networks communicate with one another.
Fredericton-based technology company Eigen Innovations was in need of a researcher to help solve a data challenge to improve their software that uses thermal cameras to capture video and sensor data for industrial manufacturing.
A recent outbreak of spruce budworm infestation in Quebec contributed to millions of dollars in lost revenue potential for Canada’s lumber industry and threatened forests in northern New Brunswick. This prompted researchers at the University of New Brunswick (UNB) and Carleton University to partner in the development of solutions to ward off the forest pest.
The company was introduced to Mengru Wang, by her supervisor Dr. Eric Aubanel. They agreed to collaborate on a Mitacs Accelerate project, in which Mengru would develop a data visualization utility for EXN/Aero.
Umang says the experience has been valuable for his eventual career in a biomedical start up. “Having research experience through Mitacs Globalink will be very useful to my career. I couldn’t have learned these same techniques and tools without doing a project like this.”
Literacy rates in New Brunswick are among the lowest in Canada. Half of the population lives in rural areas and because the province is bilingual, minority language children can find it difficult to develop early language skills.
Under the guidance of Dr. Janet Light, Abhishek is researching how to use signal processing to detect when an individual is about to fall. The research has the potential to change the way we approach healthcare for the elderly and those living with Alzheimer’s and Parkinson’s by reducing overall dependence on caregivers and keeping potentially harmful accidents at bay.