Les batteries lithium-ion sont du matériel de grande valeur à recycler. Elles ont des métaux critiques très attractifs actuellement. Le graphite en particulier occupe une place centrale dans cette démarche visant à appuyer la transition énergétique. La fabrication des batteries pour stocker les énergies propres repose en effet sur ce matériau qui entre dans la […]

The project will be done in the context of a collaborative project between Prof. Jorg Liebeherr (UofT) and Prof. Maryam Shojaei Baghini (IIT Bombay) on designing a low-cost, low-power irrigation control system, which seeks to address poverty and rural development in India. IIT Bombay has developed a sensor system, called Soilsens, for measuring soil conditions […]

Glass Fibre-Reinforced Polymer (GFRP) materials have emerged as a promising material in civil engineering applications due to their superior characteristics such as light weight, high strength, durability, and resistance to corrosion. Thanks to these features, GFRP bars have been used in many civil infrastructure applications. However, there are still opportunities to benefit from this innovative […]

In modern automotive engineering, vehicles are primarily designed in the virtual space to enable a rapid vehicle design process. However, this process is heavily constrained by the time and computational requirements necessary to generate the vast number of simulations needed for vehicle design. Fortunately, modern machine learning (ML) techniques may be used to dramatically accelerate […]

Atlantic Canada’s fishery industries have been identified as key sectors where market demand is expected to increase. PEI mussel and shellfish production employ over a thousand employees, and contributes in excess of CAD$60 million to PEI’s coastal and rural communities. Production of Atlantic Canadian shellfish has tripled since 1995 and is expected to continue growing […]

Metal additive manufacturing is a promising manufacturing technique that has attracted attentions in the recent years due to the ability to manufacture complex parts. During the process, metal goes through complex thermal treatment, which causes defects such as porosity and lack of fusion in the final part. Understanding the relationship between process parameters and parts’ […]

Global warming is a very concerning mater, which needs serious attention and the development of the technologies to decrease the rate of CO2 concentration increase. In this project, a solvent-based post-combustion CO2 capture process is evaluated through the development of smart models (e.g., ML) and optimization techniques (e.g., PSO). The data for the smart model […]

Circle Neurovascular Imaging (Circle NVI), a wholly owned subsidiary of Circle Cardiovascular Imaging (Circle CVI) and a joint venture with the Calgary Stroke Program, is building a software as a service business aimed at providing physicians with an acute stroke decision aid tool, StrokeSENS™ that will leverage artificial intelligence (AI), advanced image-processing, and network connectivity […]

Biomass residues from forestry operations (sawdust, bark, pulp and paper sludge etc.) have a myriad of potential applications if repurposed, however are often simply disposed of in landfills or stockpiled at sawmills. In this work we will investigate hydrothermal processing of two of the highest volume of residues produced; sludge from pulp and paper processing […]

Due to the growing number of scrap tires, its related environmental impact of improper scrap tires’ management, and the circular economy concept, devulcanization plants are growing all over the world to reproduce high-quality rubber that can be reused in high-quality tire manufacturing. Therefore, growing concerns are the effective & efficient facility layout, environmental policy for […]

Over the past years, Internet of Things (IoT) has been gradually making up essential parts of our life whether as autonomous vehicles, smart homes or other forms. The main job of IoT devices is data collection. Data collection can be considered as the building block of IoT. In the current IoT architecture, the data collected […]

The overall goal of this work is to use interactive machine learning to enhance current methods for detecting data exfiltration. This includes more efficient and scalable approaches for detecting and screening potentially malicious activities. The proposal work will proceed in two stages, first focusing on the work of the corporate data analysis team in screening […]