Plant community responses to climate change in the northern boreal mountains

Globally, mountain regions (especially those at high latitudes) are undergoing rapid environmental change and plant communities are expected to respond by changing their locations or timing of flowering. Exactly how future plant communities in these regions will look and function is unknown but has important implications for local animals and human communities. Through this project, […]

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Deep-Learning for Distributed Intelligent Systems with Applications in Robotics and Computer Vision

Agile manufacturing via adaptive robots is the provision of Industry 4.0 for advanced manufacturing that enables more efficient, lean and cost-effective production. It is considered to be the ultimate solution for mass customization of many manufacturing industries such as aerospace industry hindered by their heavy reliance on manual labor. The current practice of programming a […]

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Development of MCT4-targeting small molecule inhibitors for management of castration-resistant prostate cancer

Late-stage, therapy-resistant prostate cancer (PCa) remains a difficult-to-treat disease that urgently needs better therapeutics. Advanced PCa cells use glucose (sugar) differently than normal cells, substantially increasing lactic acid secretion into the surrounding environment. This supports cancer growth in numerous important ways, including helping PCa avoiding destruction by the patient’s immune system. One critical protein involved […]

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Stratifying colorectal cancer liver metastases using unsupervised clustering of quantitative imaging phenotypes

Personalized and precise treatments are the keys to improve prognosis of cancer patients and are also the main strategy of Sunnybrook Hospital. This project aims to stratify patients with colorectal cancer liver metastases (CRM) based on their disease subtype and risk using magnetic resonance imaging, which is routinely used in the diagnosis, staging and operative […]

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Evaluating Gradients of Natural and Induced Stress on Fish Blood Parameters; Developing more accurate results from Point-of-Care Devices

The point-of-care i-STAT and VETSCAN units are easily portable blood-based assessment tools that can produce relevant blood parameters within minutes with only 2-3 drops of blood. The objective of this study is to examine both natural and investigator-applied stress gradients in fishes and compare blood chemistry of fishes from a range of environments (e.g., low […]

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Landfill Odour Management Strategies

Golder Associates Inc. is the Technical Lead Consultant on the Environmental Assessment for the expansion of the W12A landfill of the City of London. One key aspect of this project is landfill design alternatives and the impact on air quality and, specifically, odour issues. The proposed project aims at providing critically valuable information regarding local […]

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Development and validation of natural source zone depletion quantification protocols for sustainable remediation of hydrocarbon-contaminated sites

The extraction, storage, conveyance, and refining of petroleum hydrocarbon liquids (or nonaqueous phase liquids (NAPLs)) often result in their accidental release into the environment. Consequently, NAPLs will travel into subsurface soils and may enter groundwater, further exacerbating the extent of contamination. Aside from being energy-intensive, disruptive of the environment, and incur treatment durations that may […]

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Embedded Computers for Next-Generation DNA Sequencing

In 2014 a handheld DNA measurement device, the “MinION”, was commercialized. It is 100X smaller by volume and 6X faster and 20X less expensive than the next smallest DNA measurement device on the market. But its measurements are of a lower quality, about 90% of measured DNA is accurately ‘detected’ compared to 99.9% for leading […]

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Urban microclimate modeling for sustainable building design

Buildings in Canada consume 29% of the total energy and 58% of the electricity on an annual basis. Through optimal sustainable design, however, there is an opportunity to reduce a building’s energy consumption as high as 80%, and the remaining 20% energy consumption can be produced from renewable sources. Sustainable design requires consideration and integration […]

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Reinforcement Learning for Predictive Sports Analytics

Our project develops novel machine learning algorithms for interpreting complex, multi-agent scenarios in sports analytics. The collaboration with our industrial partner SPORTLOGiQ will tackle open problems in deep reinforcement learning to build novel capabilities in sports analytics for ice hockey. Deep reinforcement learning is a breakthrough technology with prominent successes in games such as Go […]

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