Galium Nitride (GaN) technology compared to the conventional silicon and silicon carbide technologies gives better switching performance in terms of switching losses and switching speed. Also, since GaN Fets do not have intrinsic body diode as in Si and SiC based switching MOSFETS, they can work at much higher frequencies in room temperature, leading to […]

This project aims to provide a framework to quantify the interactivity between human drivers in traffic, which could be used to design the decision-making policy for socially-compatible autonomous vehicles. Toward this end, we develop a conditional behavior prediction module based on Gaussian mixture models to jointly capture the dependency of one agent’s reactions on the […]

Greenhouse gas emissions from commercial vehicles are a major contributor to climate change worldwide and need to be reduced to meet net-zero GHG targets. High-efficiency engines will continue to be used in many countries for the foreseeable future; switching the fuel to low-carbon methane blended with renewably generated Hydrogen offers a pathway to low net […]

Rivers, canals, and lakes spread all over the land, making the interaction with the water environment a common daily experience for people. High-quality waters make the city beautiful. Nevertheless, there still remain significant challenges in maintaining the waters. In order to enhance the reliability and efficiency of water maintenance, we will develop the swarm intelligence […]

The intern aims to study the Japanese Robotics Industry by looking at several cases such as Ascent Robotics and analyze the advanced products that are produced by the industry. The intern will be studying the market performance, technological proficiency and other such parameters of products such as mobile manipulators that are produced by Japanese startups. […]

This project’s objective is to show the utility of data from passenger cars in developing semi and fully automated driving. The challenge at hand is designing and developing artificial intelligence that can accurately and efficiently filter the most critical driving scenarios detected in a fleet.

Dealing with Cyber Physical Systems, this project takes two directions: First, system engineers at Auxon (our industrial partner) are interested in understanding the reason(s) why the system fails and, more precisely, why its behavior deviates from previously observed one(s), showing anomalies. Furthermore, to help Auxon diagnose the problem, we also provide them with root cause(s) […]

Electric machine condition monitoring and control techniques are being widely investigated for electric vehicle applications, which are essential to ensure high performance, efficiency, and reliability in electric traction drive system. However, the testing and validation of these techniques are challenging and have not received enough attention. Thus, the research project aims to propose new testing […]

Autonomous cars are one example of a compelling next-generation artificial intelligence technology. In order to safely navigate through the world, cars must plan long-range routes and short-range paths, perceive the world around them, and act according to a safety-first policy that takes into account the intent of agents in their surrounding world. While not strictly […]

Royal Auto Group in Yorkton is developing new and innovative marketing solutions to reach new more diverse demographics in the east-central Saskatchewan region. This project will develop, cost and implement novel and innovative approaches to marketing sales and services to non-traditional markets in a region that has seen significant demographic shifts over the last five […]

Battery chargers are an essential component in electric, plug-in hybrid vehicles and various other clean energy systems. However, the battery charger performance is susceptible to the operating temperature. Thus, an efficient and reliable thermal management system should be developed to address the problems due to induced thermal stress. This project aims to develop a heat […]

An early damage/anomaly detection on objects such as: pipelines, turbomachinery, vehicles, and structural elements can save thousands of dollars that goes in the repair and maintenance costs. Various contemporary robotic inspection technologies exist that aim to solve this problem. However, a challenge arises when the objects of interest are present in remote regions with extreme/harsh […]