AltaML is an innovative company capitalizing on a major technological trend: artificial intelligence (AI) technologies, enabled by big data, are driving a fourth industrial revolution. AI will transform all industries, but traditional industries face challenges in implementing AI. AltaML has a unique business model to overcome barriers to adoption of AI solutions by industry, which […]

This project investigates how metastatic lung cancer develops and evolves over time. DNA sequencing can be utilised to identify patterns in cancer genomes associated with specific sources of mutation (eg: UV rays, tobacco smoke, intrinsic cellular processes). Additionally, cancers may acquire defects in DNA repair mechanisms, resulting in a positive feedback loop of increasing mutation […]

In this research project, a computational tool will be developed to predict the ground vibration intensities and frequencies during construction activities in urban areas and mining operations. This tool will help minimize the number of vibration monitoring sensors and arrange them properly. It can also reduce the monitoring time significantly. Furthermore, it will help gather […]

The proposed project is to combine digital holographic microscopy (DHM) and interferometric scattering microscopy (iSCAT), which can be separated into two sub-tasks. The first one is introducing reconstruction holographic algorithm to iSCAT image analysis, realizing real-time particle 3D tracking. Tracking objects along the optical axis in iSCAT is commonly done by comparing the shape of […]

Q&C is a pharmaceutical consultancy company which offers an array of services, some of which include providing guidance to ensure site compliance with the Good Manufacturing Principles (GMP), performing internal audits and helping drug companies navigate the Canadian regulatory landscape in all their operations. This project will aid Q&C in tapping into new markets and […]

The proposed research project aims to understand the experiences of Ukrainian students who are studying in Canada as the result of the war in their home country. The project will investigate how immigration and education are connected and examine the specific programs and initiatives that have been created to support these students. By conducting interviews […]

Residency is a rigorous and highly demanding part of medical education during which time there are multiple demands on trainee’s time and often as a result high rates of isolation and burnout. This is especially prevalent during the final examination year of training. Several factors have been identified by students to be protective and supportive […]

A scientific problem (theoretical or applied) that the research solves. The proposed research topic is a continuation of scientific research on private law in Ukraine. It is focused on the formation of a holistic concept of temporal regulation of private law relations from the point of view of the institutional way of establishing private law. […]

Datahoot Technologies Inc applies text-mining technology to perform international trade data analysis, and enables our customers (small and medium B2B enterprises) to gain quick and in-depth insights into their markets so that they can generate actionable sales leads or prospect new vendors. The goal of this project is to develop a text-mining API (application programming […]

AMD graphics cards are extensively used for computer games, and testing their performance involves manually playing various titles on multiple configurations. Automated gameplay can save time and effort during this process. However, using game images as input presents challenges for reinforcement learning (RL) agents, specifically in player navigation and movement. This internship aims to develop […]

“Precision seeding” is a new approach to forest restoration that seeks to place tree seeds in locations to maximize establishment success using drone technology. Coating seeds with biochar – a form of charcoal made from waste materials – is a new innovation in this area, but it is necessary to find the right binding agent […]

The project is to develop an environment recognition system using computer vision and deep learning techniques (i.e., image or video classification of walking environments) and to further develop a functional prototype of an AI-powered glasses. The designed system could achieve high prediction accuracy on real-world visual data and be efficient for onboard real-time inference with […]