Deep Portfolio Model

Portfolio management is a well-known multi-factor optimization problem, which involves historical price data, macroeconomic data and market indicators. Many researches have been conducted to find optimal portfolio allocation using machine learning. However, some limitations still exist, such as incorporating multiple factors into a single model, the robustness for encountering economic events, and potential bias by […]

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Using chemokines to enhance DC-based cell therapy

Immune therapies for cancer are in their early stages and require further investigation to improve their function. Chemokines and their receptors are responsible for directing white blood cells to various parts of the body. Because they are so important in controlling the immune response, they make ideal targets for therapy. To exploit this, we aim […]

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Cellulose Nanocrystals Reinforced Nitrile Butadiene Rubber (NBR) nanocomposite dipped products: Processing and Structural Properties

The research project will develop processes for the fabrication of latex rubber films containing cellulose nanocrystals (CNCs) as reinforcement to enhance the physical properties of the films. Similarly, improving the compatibility between the latex rubber and the CNCs will be investigated which is expected to significantly improve the physical properties of the films, resulting in […]

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INSTITUTIONAL SUSTAINABILITY BENCHMARKING AND SUSTAINABILITYDEVELOPMENT STRATEGIES

sustainable institution using the STARS Sustainability Tracking Assessment and Rating System as a benchmark. Analyze the baseline sustainability level of the college by the application of set-target questions to staff members and students. USing this information, the intern will indicate areas of strength and areas for development within the institution. Resources may be created as […]

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Safe and Low-cost Robot Grasping through Impedance Control and Deep Learning

Grasping skill is significant in modern service robot that requires interaction with object under manipulation. Grasping of a new object is a trivial task for human operator while it is challenging for robot manipulators. Inspired by the grasping process of human operators, grasping control algorithms based on the integration of vision, tactile sensing. Deep learning, […]

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Identifying SMEs’ Barriers to Electronic Payment Adoption

During the past two decades in Canada, use of electronic payment has steadily increased. However, despite the downward trend in the volume, the value of cheques has steadily increased, with the five-year average volume growth increasing by about 2% due in large part to their common presence in the business-to-business space. These trends indicate that […]

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Developing a Metrics Program for London’s Million Tree Challenge

As a part of the Million Tree Challenge, the MITACS intern will work with ReForest London staff and partners to conduct research to determine how many trees are planted in the City of London this year. As a part of this work, they will conduct of review of the best data collection practices of other […]

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Radio-frequency Thermal Plasma Assisted Solid Waste Conversion to Energy using Thermochemical Process Technology

The field of plastic waste management is essential for sustainable society that utilizes plastic waste for energy production. Land filing and incineration of plastic waste has large environmental impacts due to GHG emissions. Thus, pyrolysis is considered a low environmental impact process with high value end products. RF thermal plasma technology will help reduce operating […]

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Durham Region Climate Change Modeling (DRCCM)

projections across their watersheds and lower tier municipalities. Leveraging previous modeling that was completed five years ago, they have established a suite of climate variables they would like to update based on the latest science, and hope to access existing regional climate model outputs through online portals or academic experts and undertake post-processing and analysis […]

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NeighbourPLAN Co-Design Planning Project

Both researchers will conduct independent projects using multiple data collection methods to evaluate GreenUP’s NeighbourPLAN project based on participants’ sense of well-being and belonging and what the perceptions are among participants towards sense of place and the built environment including green spaces. Rosa’s research will be evaluating sense of belonging and place and whether the […]

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