Machine learning-based beam management algorithms for space communications.

The spectrum environment for the satellite communications industry is becoming congested, contested, and complex due to increasingly massive constellation deployments. Newly activated terminals can take a long time to find and establish a link with their desired satellite, resulting in significant downtime. Beamforming is a key method for producing high-data rates and efficient communication links. […]

Read More
LysisLogic – Nazil Abdul Azeez

In this strategic project, LysisLogic Scientific Inc. aims to accelerate the commercialization of its innovative technologies. The project involves a detailed examination of the current technology portfolio and the creation of comprehensive innovation roadmaps. These roadmaps will blend R&D strategies with business tactics to streamline the path from lab to market. Expected benefits to LysisLogic […]

Read More
Picking pithy plants: pith selection by wild, white-faced capuchin monkeys (Cebus imitator)

In this project, I examine the process of food selection by wild, white-faced capuchin monkeys using a novel multi-methodological approach. Capuchins are highly omnivorous, eating over 100+ fruit species as well as dozens of invertebrate prey species. However, when it comes to plant pith, the spongy interior of tree branches, capuchins are uncharacteristically picky, consuming […]

Read More
Managing environmental impacts of emerging technologies in Canada: electrochemical lithium refining

Several approaches have been developed to reduce GHG emissions, and a portfolio of technologies will likely be needed (IPCC, 2018). We propose to investigate a novel technology that may play a role in Canada’s economy decarbonization: on-site battery-grade lithium refining developed by Mangrove Lithium. However, the environmental impacts are still not clearly reported, which may […]

Read More
The Influence of Compression Garments on Running Biomechanics & Soft-Tissue Vibrations in Female Athletes

This proposed research project will be performed to understand the influence of female apparel on running biomechanics, soft tissue vibrations, and responses to neuromuscular fatigue in prolonged running. There is an emerging and growing need in sporting goods research and development departments to study female-specific running patterns in order to create products that ensure comfort, […]

Read More
Efficient Avatar Facial Control for Social Presence in Mixed Reality Remote Collaboration

The objective of the research project is to develop a comprehensive framework for avatar-mediated communication in AR/VR environments, with a focus on avatar facial expressions. The framework is intended to enhance the efficiency of communication in Mixed Reality (MR) remote collaboration situations, which can be variously applied to education, industry, and medicine, by providing a […]

Read More
Effects of 2D and 3D Virtual Human on User Experience in XR Environments

This research aims to develop and utilize a virtual human evaluation model using the concept of dimensionality in XR interfaces. The phased goals to achieve the final goal are Research phase 1) Experimental design by designing virtual humans according to dimension levels in XR interfaces and deriving types of usage purposes, Research phase 2) Evaluation […]

Read More
Development of simulation program for industry with AR/VR

There is a growing demand for training simulation programs using Augmented/Virtual Reality (AR/VR) in various industries such as nursing and construction worldwide due to safety and high cost issues. Additionally, the need for collaboration among workers within a country or across multiple countries for practical training and education is expanding in certain industries. However, there […]

Read More
Shallow geothermal systems evaluation for Bow Valley municipalities

Energy use in buildings is among the largest energy users, accounting for about 13% of the total energy use and over 12% of the total CO2 Omissions in 2020 in Canada. The buildings sector is viewed as one with the potential for significant CO2 emission reductions by transitioning from the current fossil fuelled energy systems […]

Read More
Development of a system for the automatic recognition and classification of normal and abnormal cells in human blood samples

Automation of medical diagnosis/detection process is very important in terms of enhancing diagnostic accuracy, increasing throughput, reducing cost, and training new staff. Our current goal is to go from the proof of concept stage (automatic recognition and classification of human blood images) to a complete working optimized prototype and to start testing it in an […]

Read More