This project focuses on the development of an integrated physical soil properties sensing system as an add-on option for a new electrically powered autonomous off-road platform (e.g., robotic electrical tractor). The system will allow further expansion of the electric tractor's robot functionality when collecting soil samples and or mapping land resources. The sensor system incorporates conventional sensor technologies as well as innovative sensors such as acoustic propagation and air permeability sensors, in order to autonomously collect data and generate soil property maps.

The partner organization (Forcen Inc) wants to design and manufacture a strain gauge that is stretchable, flexible and sensitive to different types of strain (tension, compression, shear and torsion). Unfortunately, the current metal foil and semiconductor strain gauge is brittle. That is why Forcen Inc partnered with University of Toronto to develop new generation of strain gauge that is flexible enough to be inserted into surgical and manufacture robot and it can detect strains from mult-directions.

The light-sensing portion of the human eye, called the retina, is a highly complex structure that is nourished by several layers of small blood vessels. Diseases that lead to blindness, including Diabetic Retinopathy (which affects approximately one third of people with diabetes), often damage this network of blood circulation, causing changes to manifest in specific regions within the retina. Optical Coherence Tomography Angiography (OCT-A) is a relatively novel technology which can be used to visualize the retinal microcirculation in three dimensions.

Cosmetics are products composed to cleanse, protect and change the appearance of external parts of our bodies. While, the key ingredients present in most cosmetics include water, emulsifiers, preservatives, thickeners, moisturizers, colors, and fragrances, some other ingredients as a secret ingredient can be added to the products. Generally speaking, ingredients can be naturally occurring or artificial, but any potential impact on our health depends mainly on the chemical compounds that they contain.

The project is dedicated to developing new models and understanding for predicting marine ice accretion levels on small and medium sized sea vessels. These models are developed using engineering principles and will be used to predict ice loads, loss of vessel stability, and to assist in sizing heat tracing for critical vessel infrastructure. Additionally, we are also striving to develop instrumentation to assist in measuring icing levels such that ship operators can take pre-emptive action.

The research will develop an AI model driven by remote sensing data from a satellite, to identify the spatial variability of water pollutants present in lake water, to improve the understanding of the potential for algal blooms.

Amongst the automotive, marine and aerospace industries, the growing demand for maintaining customer satisfaction through enhanced performance while sufficiently meeting strict governmental regulations on fuel economy and emission control has forced manufacturers to develop lighter metals with superior properties as compared to their predecessors.

CO2 management have been an important research theme to minimize the GHG impact on Canadian environment. Enhanced oil recovery by injecting CO2 underground is a very efficient way to minimize the CO2 environmental effect. Meanwhile, after primary and secondary production, either CHOP or CHOPS well present a high water cut in the produced liquid stream. This high water cut has a significant effect on choosing the proper post-CHO techniques.

Centrate from food waste processing facilities contains higher concentrations of organic matters. Those contaminants (especially ammonia nitrogen) remain in the wastewater effluent after anaerobic digestion treatment, which are the great treat to the environment if not properly treated. Other contaminants (biochemical oxygen demand, chemical oxygen demand, total nitrogen, total phosphorus, suspended solids, etc.) also impact the downstream wastewater treatment processes.

The proposed research project aims to develop and verify new technologies and numerical tools directed at six main research focus areas: 1. Orebody Knowledge, 2. Grade Management, 3. Cave Mine Design, 4. Integrated Cave-to-Mill, 5. New Measurement Technologies, and 6. Hazard Management. This project will also see the establishment of a multidisciplinary research network, the International Caving Research Network, to be directed at maintaining Canada’s competitiveness in the international mining industry.