Our laboratory has developed an improved model of large scale offshore wind turbines systems for controller design. This model captures all the important dynamics involved in the system such as the 3 dimensional motion, wave disturbance and wind effects, allowing to design advanced control techniques to enhance the efficacy of the wind turbines and increase […]

A previous mathematical model of an offshore wind turbine was established and then, a positional controller was designed and simulated for a single Wind Turbine in order to provide movement around an area using the force of air that acts on the wind turbine. The goal of my research project is to validate this Position […]

Pressure ulcers (PUs) are a major health problem in people with spinal cord injuries (SCIs). PUs increase hospital admissions, with 25% of SCI treatment cost linked to PU management. Currently, treatment is limited and new therapeutic options are required. Wound fluid from PUs is invaluable for researchers as it allows a detailed study of the […]

The proposed research will be focused on eliminating fugitive emissions from liquefied natural gas (LNG) transmission, storage, and distribution operations. LNG can be used as fuel for transportation, and for combined heat and power generation in remote locations. We will study transmission, storage, and distribution operations by developing quasi-steady-state and time-dependent thermodynamic models. These models […]

Animal welfare is a field of animal science that focuses on evaluating and bettering animal lives by investigating biological functioning, affective states, and ability to live naturally. Animal welfare is a measure that is emerging as a key social concern in animal agriculture and as a result, is becoming more prevalent in industry practices. Nonetheless, […]

E-waste is one of the fastest growing waste streams in the world in terms of volume and its environmental impact on the planet. Printed circuit boards represent a major portion of the e-waste that contains higher values. The metal fraction from the circuit boards is extracted for its value while the non-metal fraction is often […]

Chronic spinal cord injury (SCI) is a debilitating disease with enormous economic and personal impact. To date there is no approved treatment that can repair the severed nerves found in SCI. The research project entails translational development of an early stage experimental protein drug candidate that has shown remarkable ability to trigger dormant human stem […]

This project is to use genetic engineered “cold-sore” virus to treat prostate cancer. The virus is engineered to reduce its toxicity to normal tissues but can specifically attack and kill tumour cells. Meanwhile, the virus releases a group of anti-tumour immune stimulating factors to activate immune system to eliminate prostate tumour. This project will use […]

With increasing interest in the use of natural fibres, quality characterization is needed to provide benchmarks and uniform standards in order to use the abundance of natural fibre products in niche and higher value markets. Natural fibres are inexpensive, biodegradable and leave no waste, and are sustainable and readily available throughout Canada. By utilizing natural […]

Social transformation requires a deep understanding of the cultural, economic and historical forces and flows that connect peoples, places, and world views, and of the difficulties of intervening in complex, dynamic systems. This research project uses the methodology of social cartography to map diverse (and potentially conflicting) interests, ambitions and orientations of socially engaged communities […]

Copper, a conductive metal, forms the basis of much of our manufacturing and electrical infrastructure. Yet, despite high demands for the metal, supply is not keeping pace. One of the chief reasons is that copper extraction faces steep technical challenges that have steadily pushed up capital expenditures. We propose to use a recent innovation called […]

Manufacturing system reliability is significant in modern industry that requires high speed and low cost in production. The proposed work is aiming to establish a systematic and applicable approach for machine condition monitoring and condition based maintenance with the help of large amount of data from the industrial internet of things. Deep learning, as an […]