Flow cytometry is a technique used to detect and measure physical and chemical characteristics of a population of cells or particles. A sample containing cells or particles is suspended in a fluid and injected into the flow cytometer instrument. The sample is focused to ideally flow one cell at a time through a laser beam […]

Vibration analysis is probably the most widely used technique to perform health monitoring of mechanical machinery. Specifically, we are interested in monitoring ‘Vibrating screens’, machines that are for example used by the mining industry to sort aggregate by size. Over the last 10 years the research group of Dr. v. Mohrenschildt has developed hardware, software […]

In this research, first we will using tensor network techniques speedup the processing in neural network since computational cost is a major bottleneck in neural network based deep learning. Note that the weight matrix in each layer of neural network is with huge size, because of millions of parameters. This may cause large time complexity […]

Presbyopia is an aging phenomenon that eventually affects 99.9% of the population and Aniridia is a rare genetic disease resulting in the absence of an iris. Currently, no treatment provides a dynamic solution for patients. We are creating a thin, flexible, biocompatible electronic device to rapidly control a bionic iris through a fast, reversible, wireless […]

Formation of aggregates and flocs from fine suspended particles is of great significance in industrial applications involving solid-liquid separation (dewatering) stages, whose objective is to clean and recycle water. Fine particles in waste suspensions are inherently difficult to remove from process water. As a result, a number of steps are taken to increase the size […]

Earth is being imaged continuously using high-resolution (pixel-size

The recent legalization of cannabis in Canada offers a unique opportunity to conduct fundamental research without the bureaucracy issues faced in other countries. The current state of cannabinoid-based therapies have focused their use in the treatment of cancer, pain, inflammation and opioid addiction, and suffer from unwanted side effects and lack of efficacy. Furthermore, the […]

Mobility is an essential component of routine life for everyone. Walking and biking are two major transportation modes that help residents meet most or all of their daily needs. However, several mobility-related challenges occur as a result of weak maintenance of urban infrastructure such as sidewalks, bike lanes, and trails, which can decrease the safety […]

The food services industry is ripe for a technological revolution. Challenging labor conditions such as rising minimum wage, high employee turnover, and scarcity of skills among other things makes it increasingly difficult for restaurants to be profitable and scale their business effectively. Delivering a quality product in a consistent manner with today’s low-pay low-skilled workforce […]

Persistent pain is pain that is prolonged beyond normal healing time, usually defined as three months. Approximately one in five Canadians suffer from persistent pain conditions such as low back pain, osteoarthritis and fibromyalgia. These conditions account for $43-60 billion in healthcare costs. Prescribed exercise has been shown to decrease pain while increasing function and […]

This project proposes a survey directed at transit agencies in Canada that have operated, operating, or planning to operate flexible transit, with special emphasis placed on app-based on-demand transit services. Personal interviews will be conducted with key personnel at the transit agencies, likely using phone communication. The results of the survey along with a more […]

Robust perception in all weather conditions is a critical requirement for autonomous vehicles. This project proposes fusing gated and conventional RGB camera images for robust scenes encoding, depth estimation and trajectory prediction. Conventional approaches using lidar and RGB camera fail to perform robustly in rain, fog and snow. By extending existing computer vision algorithms to […]