The Impact of Pre-Project Planning and Upfront Investment on Construction Project Delivery Efficiencies

Cost overruns, schedule delays, and sometimes disputes and even litigations have been a pervasive issue in Canadian construction industry. This applied research study is commissioned to establish a solid empirical relationship between project delivery efficiencies and project owners’ upfront investment on design and consulting services. The study plans to employ personal interviews, project database development, […]

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Developing a Simulation Model for Electrostatic Charging in Gas-Solid Flows

Electrostatic charging can occur when any kind of solid particles, from grains in silos to powders in chemical plants, undergo a lot of collisions through movement or mixing. Particle charging can create some serious challenges – highly charged particles can stick to surfaces and hinder industrial processes, and in some cases can create sparks that […]

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Development of protein and carbohydrate complexation delivery systems for improving the transport, stability, and efficacy of plant immune aids

While modern pesticides have dramatically improved crop yields and food security, the challenges of emerging pest resistance, environmental run-off, and the need to help crops better cope with weather-related stresses like drought and extreme heat all demand new solutions. Our partner, Suncor, has recently developed a new class of plant immune aids that activate a […]

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Forecast of User’s Water Consumption

The main objective and outcome of the proposed research project will try to develop a model that will be able to predict the water consumption level of users as well as the station. Deliverables of the project will be reports, presentation and a software solution that will include a model for the forecast of water […]

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Predicting recovery from concussion during military cadet training using multimodal MRI data and machine learning

In the military, concussions are common and many occur while non-deployed, including during cadet training exercises. For the majority of those with concussions, symptoms resolve on their own but for a “miserable minority” symptoms persist beyond the typical 3-month recovery period, impacting quality of life. Most concussion research produces group level inferences which cannot be […]

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Machine learning towards intelligent steel refining processes

In the steelmaking industry, process control models need to be based on a sound physical understanding of the process but should also account for many uncertainties due to the nature and complexity of the environment in which the process is carried out. As a result, it is crucial to extract useful process control information from […]

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Anomaly Detection in transactions volumes

The objective of the project is to investigate how machine learning techniques can be used to detect anomalies in volumes of transactions. This requires the student to conduct a literature review about the topic as well as experimenting with a subset of selected machine learning techniques. The results from the research could help the partner […]

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Nutrition and management strategies to improve Canadian pork production

The Canadian swine industry must adapt to current and emerging challenges to remain competitive. In general, the industry is focused on improving efficiencies and reducing costs of production. However, the industry also faces many concerns regarding environmental sustainability and societal acceptance of production that need to be continually addressed. Feed represents approximately 70% of the […]

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Analyzing the impact of the Lactobacillus rhamnosus R0011 secretome on intestinal epithelial cell and antigen-presenting cell interactions

Intestinal bacteria are now recognized as important for maintaining our health. Many questions remain about how these probiotic or health-promoting bacteria act to influence health, and how to use them to combat the numerous health problems associated with inflammation. The objectives of this research project are to determine how products made by one of these […]

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3D Perception and Prediction for Autonomous Driving

For an Autonomous Vehicle (AV) to make decisions and drive independently on urban streets, the problem at hand can be broken down into many phases, two of which are perception and prediction. Perception refers to the process of extracting valuable information from the environment using data collected by sensors such as LIDAR and camera. This […]

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Generalization in Deep Learning

In recent years, deep learning has led to unprecedented advances in a wide range of applications including natural language processing, reinforcement learning, and speech recognition. Despite the abundance of empirical evidence highlighting the success of neural networks, the theoretical properties of deep learning remain poorly understood and have been a subject of active investigation. One […]

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Comparing SME Policies: A Case Study between Detroit and Brazil

The purpose of this research is to create a framework which investigates the different factors that play a role in the effects that SME’s present to a society. This project will be case study based. It will define the differences between the micro-region of Detroit and a macro-region, the country of Brazil. The framework will […]

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