Brushless permanent magnet synchronous motors (PMSMs) are widely used in many applications including automations, instrumentation, propulsion, vehicular systems, etc. This project is focused on research and development of a modified drive system and novel control algorithms for PMSMs that could improve efficiency and torque performance compared to conventional methods. Collaboration with the University of British […]

In this unique research project, the researchers will document and analyze the collaborative processes and technologies in a housing project, which follows a formal Integrated Project Delivery (IPD) approach. IPD is an emerging procurement method in the construction industry that engages all major stakeholders from the beginning of the construction project. However, there is still […]

Micro-Electro-Mechanical Systems (MEMS) are complex systems with sizes in the range of few microns (human hair has thickness of 150-200 microns) which have both mechanical and electronic components. MEMS technology has entered in many industries such as optical technology, point of care diagnostics, telecommunications, automotive, and military. Today, there are hundreds of MEMS devices, e.g. […]

The hatchery industries are faced with huge economic losses in millions of dollars, resulting from incubating nonfertile eggs that will never become chickens. There is therefore an urgent need for non-destructive techniques to predict the fertility chicken eggs early enough (especially prior to incubation). The project seeks to solve the identified problem via optimizing modelling […]

Municipal wastewater contains excessive nutrients, which when discharged without sufficient treatment can cause eutrophication in the receiving water bodies. Digested sludge liquor, the produce water generated from the treatment of sludge that is produced from municipal wastewater treatment plant contains high concentrations of ammonia that is toxic to aquatic biota and requires further treatment. Newer […]

Petroleum coke (PC) is a by-product of the extraction of crude oil from the Oil Sands in northern Alberta and has been shown to effectively remove total acid-extractable organics from oil sands process-affected water. This treatment may also lead to an increase in some heavy metals in the treated water and it is important to […]

The goal of this project is to develop machine learning and data mining algorithms relying on non-intrusive common sensor data to estimate and predict smart buildings’ occupancy and activities. Efficient feedbacks are automatically supplied to the end user to involve occupants and increase their awareness about energy systems. This consists of generating reports helping the […]

This project involves designing a portable device for measuring concentrations of certain metabolites in a person’s blood or urine. This is an easy-to-use device that connects to a smartphone to display a final result based on measurements of multiple components to generate a specific health diagnosis. Different tests can be run on the same device. […]

Penetration testing is a key security tactic, where defenders thinks like an attacker to predict the latter’s actions and develop effective defense. However, for large-scale cyber-physical infrastructures like the smart grid, traditional penetration tests on individual devices or networks are insufficient to exhaust all potential exploits or to reveal infrastructure-level vulnerabilities invisible to the local […]

This project will analyze competencies (knowledge, skill, and attitude) of airside professionals conducting the taxi-ground run of an aircraft in an operational airport environment. Both cognitive task analysis and consensus modeling methodologies will be used to identify competencies and draft a competency framework of the task. Based on the competency framework, training implementations (including those […]

Wave surfing was traditionally restricted to oceans. Nowadays it is becoming more and more popular in rivers. Although there are some natural surfable waves in rivers, human constructions can provide waves even where they do not naturally exist. However, there is not enough academic support for design and construction of these waves. In this project, […]

The drilling success rate is the most important goal for any oil/gas company. For a start-up company, any failure in drilling will be a disaster. To this end, the Petro-Lin Energy Corp. wishes that through the combination of mature hydrocarbon prediction techniques and new research results such as machine learning, the success rate of hydrocarbon […]