Agile manufacturing via adaptive robots is the provision of Industry 4.0 for advanced manufacturing that enables more efficient, lean and cost-effective production. It is considered to be the ultimate solution for mass customization of many manufacturing industries such as aerospace industry hindered by their heavy reliance on manual labor. The current practice of programming a […]

The adoption and integration of electric buses (eBus) will have positive impacts on the efficiency of transportation services, on energy consumption and related environmental benefits as well as costs, In partnership with CUTRIC OCAD U will engage dynamic Visual Analytics and Design Science to support electric bus (eBus) implementation in Canada, allowing the careful tracking […]

Every year billions of doses of medications go unused by patients in North America. Some of these are returned to pharmacies for appropriate disposal, but the majority of these are discarded in landfills or flushed into municipal wastewater streams. Our goal for this initiative is to collect unused and expired pharmaceuticals and develop a sustainable […]

Late-stage, therapy-resistant prostate cancer (PCa) remains a difficult-to-treat disease that urgently needs better therapeutics. Advanced PCa cells use glucose (sugar) differently than normal cells, substantially increasing lactic acid secretion into the surrounding environment. This supports cancer growth in numerous important ways, including helping PCa avoiding destruction by the patient’s immune system. One critical protein involved […]

Data centers are now growing and expanding massively. They are large scale and heterogeneous. In addition, they rely more and more on emerging technologies such as Software Defined Networking (SDN) and Network Functions Virtualization (NFV) with “network softwarization” as their key feature. Moreover, they are now being augmented with edge data centers rooted in concepts […]

It has been widely recognized that satellite remote sensing data have a great potential in retrieval of crop biophysical variable such as Leaf Area Index (LAI), vegetation canopy cover and fraction of absorbed photosynthetically active radiation (fAPAR), that are indicative of crop growth condition and yield formation. Unmanned Aerial Vehicle (UAV) data are popular in […]

Personalized and precise treatments are the keys to improve prognosis of cancer patients and are also the main strategy of Sunnybrook Hospital. This project aims to stratify patients with colorectal cancer liver metastases (CRM) based on their disease subtype and risk using magnetic resonance imaging, which is routinely used in the diagnosis, staging and operative […]

Game-based learning tools often make use of questions to measure and encourage learning, but generating questions can be challenging, especially at the scale that companies like Axonify are required to do. In this project, the intern will design, implement, and evaluate a system that can apply machine-learning on a corpus of text (e.g., a textbook) […]

This research project focuses on Identification, Classification, and Measurement (ICM) of defects in different manufacturing steps at Evraz. Images/videos of the defects will be collected by a combination of the existing pipe inspection systems in use at Evraz and also the robotic system, equipped with a camera vision, to be completed in this project. Also, […]

Supercapacitors provide high power density, extra-long cycle life, and wide operating temperature ranges and are poised to grow rapidly in the energy storage market. They offer good complementary features to the batteries and can be used to implement fast cycling speed grid energy storage systems given the cost being driven down. With its own charging […]

In general, the goal of project is to investigate the train travel data and figure out the main factors affecting train travel time. Moreover, we will use machine learning algorithms to predict their arrival time to stations and forecast when delays will happen. Specifically, to figure out what factors are affecting train travel times, we […]

This project will involve the development and validation of simulation models suitable for studying, designing and implementing a small-sized power system with reduced fuel expenditure and carbon (iv) oxide emissions, for oil and gas extraction activities. The successful implementation of the project will further Audacious Energy Corp.’s knowledge to launch and test a Minimum Viable […]