Customer Development Interviews for the Interview and Interrogation Assessment Instrument

This research is being conducted by a team of forensic psychologists working on a project to advance the way expert witnesses evaluate interrogations for coercion and risk factors for false confession. There is a solid base of research on coercive interrogation practices and on factors that may result in individuals being more vulnerable to coercion and false confession (e.g., youth, individuals with mental illness), yet, unlike other areas of forensic psychological assessment there exists no standardized way of evaluating coercion in police interrogations.

Automated integrity control of industrial tools using X-ray Computed Tomography (CT)

To prevent accidents and reduce risk checking the integrity of industrial tools is very vital in some industries such as oil and gas facilities, Nuclear powerplants, aerospace industries etc. These inspections are generally done manually by hand and visual inspection. Which is both time consuming and error prone. Inspection of some complex tools might require disassembling of the tool to get view if the inner components. But the mentioned industries require their systems to run maximum time possible and minimize the outage time.

Intelligent Energy Management for Production Facilities with Robotics Automation [IEMPRA]

This project shows the possibility of decreasing the power consumption of Industrial robotics. Design methodology for Intelligent Energy Management for Production Facilities with Robotics Automation [IEMPRA] is proposed to Cherkam, by predicting the energy consumption over the energy model, which delivers a guide to enable energy-efficient approaches. The total energy consumption is evaluated using ML and optimization of the robotic is described to propose a design interfaces with robotics and automation systems.

Tech pioneer traces roots through partnership

A recipient of the World Economic Forum 2015 Technology Pioneer Award, Vancouver-based quantum computing company 1QBit is a leader among the most promising technology companies. The company works closely with Fortune 500 clients and leading hardware providers to solve problems in the areas of optimization, simulation, and machine learning. 

Modeling and experimental studies on a pneumatic propulsion system for vehicular applications

This project aims to develop and analyze a radial pneumatic propulsive system for vehicular applications in a different size ranging from city-driving short-range vehicles to 40-foot municipal transit and school buses. It is intended to bring the potential investors to Canada out of this project to collaborate with regarding academic and partner organizations.

Thermal analysis of heat capture and upgrade systems for thermochemical hydrogen production

In order to meet Canada’s need for emissions-free hydrogen fuel, we aim to develop the Copper-Chlorine (Cu-Cl) thermochemical hydrogen production cycle into a pilot-plant which can be used to demonstrate the commercial feasibility of the process. An important portion of this development is research into how to integrate the Cu-Cl cycle with a waste heat source. By utilizing waste heat capture and upgrade, the Cu-Cl cycle can generate hydrogen fuel using energy that otherwise would be radiated into the environment.

Enhancing the charge speed, useable capacity, and cycle life of lithium-ion battery packs using a novel health-conscious fast charging and active balancing strategy

One crucial difficulty with fast charging lithium-ion battery packs is the possibility of battery capacity deterioration if not properly managed. Fast charging electric vehicles for example, should involve ensuring that each one of the thousands of cells are charged safely and are balanced to all the other cells if the range of the vehicle is to be maintained for several years. The most common way to safely charge and balance cells involves a lot of wasted energy and suboptimal capacity saving methods.

Design and Prototype of Hybrid Battery Management System (HBMS) to Supply Economic Energy Storage Solution in Ultra-Cold Climate

The battery is considered as the source of power for electric transport. The performance of the battery drops at low temperature which reduces the mileage of Electric Vehicle (EV). This issue is hindering the widespread adoption of EV in cold places like Canada. The Low-Temperature Battery (LTB) can be used in EV to solve the low milage problem in extreme cold temperature, but its cost is around three times higher than the Normal Temperature Battery (NTB). So, using the LTB in an EV is not economically feasible.

Intelligent Query and Learning System (IQLS)

Intelligent Query and Learning System (IQLS) is a web application that offers a platform for a business owner, product seller, service provider, doctor, engineer or anyone with a goal of providing service to their client or audience. Using this platform, an individual can train the system with information related to their business, service, or product, and the system becomes ready to answer related questions to their followers or audience who are interested in the service or product. Providing answers to the questions of the clients can help to increase sales and grow the business.

Implementation and evaluation of a surface estimation algorithm to modify the control of ADAS features

Road departure is a critical factor in vehicle accidents, which could happen as a result of a driver’s impairment or lack of attention, or the road surface condition due to inclement weather. Therefore, it has been a high priority for the automotive industry to improve advanced systems for stability and path control. GM novel approach aims to use a control method to maintain a vehicle in the intended path during automated braking, while the deceleration and collision prevention is optimized.

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