This project aims to couple a multimode optical fiber(MMF) to a superconducting nanowire single-photon detector(SNSPD) and characterize it. SNSPDs are currently the most sensitive single-photon detectors available. But most of the current SNSPDs are coupled using single-mode fibers(SMF), which collect photons in only one spatial mode. This is inefficient when collecting photons from biological samples, […]

Rare diseases, despite being individually rare, cumulatively affect millions of people around the world. Over the last decades, high throughput sequencing elevated diagnostic success in rare diseases from ~10% to ~45% but have stalled at ~45% since. One reason for that may be that clinical presentation of the disease-causing alteration(s) could be highly variable. Some […]

The vestibular balance system detects linear and angular head motion and plays a role in stabilization of human balance and walking. Age-related vestibular disruptions increase fall risks for a large fraction of our elderly populations and make it increasingly difficult to continue living activity and independently, both of which have very large associated healthcare costs. […]

Convective storms bring heavy rainfall, thunderstorms, and sometimes hail, posing significant risks to cities, farms, and infrastructure. These intense storms are especially common in Canada’s Prairies during the summer and are becoming more severe with climate change. To better predict these storms, we need detailed climate models because convective storms usually happen over small areas […]

Eastern Slopes Rivers (ESRs) of Canadian Rockies are fed by various water sources including surface runoff, snow- and ice-melt, and groundwater. The contributions of the water sources vary seasonally and over the decadal scale under a changing climate. Different water sources flow through different pathways having different geological interactions, and consequently different water geochemistry. Therefore, […]

The persistent challenge faced by oil producers in measuring multi-phase flows, characterized by a complex mixture of oil, gas, and water from wells, has prompted the development of an AI-based multi-phase flow meter by MLCan. Current approaches to real-time precision are hindered by the inherent complexity of these flows, leading to costly and less accurate […]

Artificial turf has various components that can be altered to change its mechanical properties, such as stiffness and traction. Research has shown that optimal values of these properties exist for athletes to perform optimally and reduce the risk of injury. However, the majority of research on sport surfaces has been conducted on adult male athletes, […]

This project aims to develop and evaluate layer-by-layer nanofiltration (LbL-NF) membranes for the recovery of rare earth elements (REEs) from acidic solutions of secondary waste. The research will involve fabricating charged membrane layers on commercially available ultrafiltration supports and testing their ability to concentrate solutions of REEs while maintaining high permeability under acidic conditions. Building […]

This study focuses on parameter estimation for passive and non-operational satellites. With the increase in space technologies, space-related activities have expanded and the number of satellites has grown accordingly; as a result, non-operational satellites and potentially hazardous space debris have emerged. Information about these space objects is mostly obtained through measurements conducted from ground-based platforms. […]

The proposed research focuses on improving road safety by studying how drivers react when encountering pedestrians in mixed traffic conditions. While most existing studies emphasize pedestrian behavior, little is known about how drivers respond in these situations. To address this gap, the project will use a driving simulator that replicates a real 5.5 km road […]

Inuit communities are reliant on sea ice travel to hunt and fish to get nutritious food and maintain their culture. Search and Rescue incidents are on the rise with changing sea ice conditions due to climate change. Information to support Inuit travel needs at community scales are currently limited in Inuit Nunangat (Simonee et al., […]

NeviSight is an AI-powered platform that transforms retinal imaging into faster, more accurate, and more accessible eye disease detection. Designed as a decision-support tool, it aims to integrate seamlessly with existing fundus cameras and clinical workflows, providing clinicians with real-time lesion segmentation and risk insights. Our completed prototype combines a proprietary hybrid AI model with […]