This research project aims to develop a robot pick and place model that can be used in Kindred AI’s robotic arms to improve efficiency and reduce production costs. The intern will work closely with the partner organization’s experts in computer vision and MLOp to design and build new models, modify existing ones, and experiment with […]

The proposed research aims at learning better representations for multivariate time series (MTS) data, which can be applied to various important real-life applications such as weather, traffic, and electricity forecasting. Better forecasting accuracies for these tasks could help with efficient risk aversion and decision making, and save costs for decision makers. The proposed research will […]

During the internship, the selected candidate will focus on developing edge computing solutions that can recognize and alert the relevant personnel in real-time in case of potential security threats (e.g. theft, robbery) and safety issues (e.g. employee accidental falls). This would help retailers to prevent or respond quickly to incidents, reducing losses and improving safety […]

This research project, backed by Unity Health Toronto and the Centre for Global Health Research (CGHR), aims to explore the use of machine learning in predicting causes of death using verbal autopsy data from low-to-middle-income countries. Verbal autopsy is a cost-effective and efficient method for documenting deaths in regions with limited resources. By employing advanced […]

Robotic manipulation involving contact-rich tasks continues to be a challenging, yet critically important, research problem with many potential applications, including domestic assistance, automated agriculture, and advanced manufacturing. Many of these tasks involve both unstructured environments and complicated dexterous manipulation. Existing approaches that rely on purely visual sensors and predefined models are brittle and prone to […]

Treating oil sands tailings presents a significant technical and environmental challenge for Canada’s oil sands industry. It is crucial to settle and consolidate tailings, reclaim the affected land, and to further recycle/reuse the water trapped in the tailings for oil sands processing. The proposed research aims to tackle the tailings treatment and water management in […]

Autistic youth and adults often experience a drop-off in supports as they transition to adulthood, especially in evidence-based interventions that support their mental health and wellbeing. Acceptance and Commitment Training (ACT) is an evidence-based therapy based on mindfulness and behavioural principles that has preliminary support to improve the wellbeing of autistic people. The present project […]

L’imagerie aérienne offre de nombreuses opportunités en assurances: simplification de la souscription grâce à la complétion automatique de champs, amélioration de l’indemnisation grâce à des images post-catastrophes, raffinement de la tarification grâce à l’obtention de nouvelles données sur les caractéristiques physiques d’un lieu, etc. Cependant, l’utilisation de ce type de donnée pose plusieurs défis techniques. […]

If Canada is to meet its ambitious climate goals, addressing persistent labour and skills shortages will be a necessary condition. The research project aims to analyze the employment patterns and composition that current prevail in the electricity and renewable energy sector compared to the broader economy. The research will, in turn, empirically shed light on […]

Cardiac specialists spend anywhere from 60-70% of their patient consult working with electronic medical record (EMR) software attempting to extract salient patient data that leads to providing the most accurate diagnosis and care path. Cadea Health Inc. is seeking to reduce the workload cardiologist face by taking advantage of AI to intelligently gather and present […]

The new Frontenac Lennox and Addington Ontario Health Team for our region has established palliative care of one of its priorities and formed a Palliative Care Partnership of stakeholders involved in providing palliative care across the FLA. The objective of this project is to improve access to palliative care for underserved and marginalized populations, especially […]

The Internet of Things (IoT) connects a plethora of smart devices globally across various applications like smart cities, autonomous vehicles, and health monitoring. IoT systems are predominantly software-defined, making them susceptible to quality issues on a large scale. This research aims to improve IoT trustworthiness through simulation-based testing and automated fault localization. Existing IoT systems […]