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 […]

Edge computing is expected to play a transformative role for future AI applications in 5G networks by bringing cloud-style resource provisioning closer to the devices that have the data. Instead of running resource-intensive AI applications at the end devices, we can consolidate their execution at the edge, which brings many benefits, such as eliminating the […]

A seizure is a medical emergency. 1 in 10 people will be hit by at least one seizure in their lifetime. 1 in 26 people continue to be hit by seizures recurrently: this is epilepsy. When medications do not work, surgery is needed to cut out seizing brain tissue. Unfortunately, many people cannot presently benefit […]

We can deal with the daunting challenges of depleting fossil fuels as-well-as the toxic and greenhouse gases emitted from the gasoline/diesel driven vehicles by replacing their internal combustion engine with rechargeable batteries. This project focuses on the development of an all-metal-free and biocompatible rechargeable battery system that will compete with the existing counterparts (Lithium-ion batteries, […]

The proposed Mitacs cluster project aims to apply advanced artificial intelligence (AI) technologies to attack challenging video quality-of-experience (QoE) assessment and quality assurance problems that are critical in real-world large-scale video distribution systems. Six internship students will work closely with the technical staff members at SSIMWAVE INC, a deep-tech startup company based in Waterloo Ontario, […]