A Data-Driven Framework for Forecasting Project Performance

In the dynamic field of construction project management, accurately forecasting project performance remains a significant challenge. Budget overruns and schedule delays are common issues, and despite the abundance of available data, existing forecasting practices struggle to effectively leverage this information. This study addresses gaps in the current literature by proposing a data-driven approach to enhance […]

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Strategic Optimization and Design of Artificial Lift Technologies: Synthesizing Data-Driven and Physical Analyses for Enhanced Production and Environmental Impact Reduction

The objective of this partnership is to create an intelligent system that utilizes data-driven analysis, machine learning algorithms, and numerical simulations to evaluate and enhance artificial lift technologies, with a specific focus on gas lift. This initiative aims to help oil and gas operators reach the maximum production capacity and minimum environmental impact. The project […]

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Chemically defined media for porcine muscle progenitor expansion – towards their application in cellular agriculture

Agriculture is on the brink of a paradigm shift due to sustainability challenges and the demands of a growing population. This transformation is being led by cellular agriculture, an emerging industry that encompasses lab-grown products ranging from sugar substitutes to meat-in-a-dish. Canada’s pork industry, one of the world’s largest, stands to benefit from this innovation […]

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Remote Patient Monitoring via Wearable Devices and Social Robot Companion

This project addresses critical healthcare concerns by developing a user-centric vital sign monitoring system tailored for continuous patient care. In a society grappling with health management challenges, especially amidst an aging population and events like the COVID-19 pandemic, this initiative bridges a persistent gap in post-intervention care. Many individuals, particularly elderly and fragile patients, often […]

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Development and Evaluation of Novel Small Molecules Targeting Lysophosphatidic Acid Receptor 1 for the Treatment of Triple-Negative Breast Cancer

Triple-negative breast cancer (TNBC), characterized by the absence of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor (HER2) expression, exhibits high invasiveness, metastatic potential, and poor prognosis. Current chemotherapy for metastatic TNBC is associated with low response rates and short progression-free survival. It is imperative to find new therapies for this […]

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Veterinary Disease Detection Using Machine Learning and Deep Learning Architectures

In recent advancements, researchers are leveraging deep learning and machine learning for improving medical care, particularly within the veterinary field. The development of smart, wearable biosensing devices, equipped with non-invasive sensors and integrated with machine learning algorithms, facilitates real-time health monitoring. Continuous monitoring of health data through these devices offers valuable insights into adverse health […]

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Human connections to nature in Niagara Peninsula Watershed protected areas

This research aims to understand how visitors to Niagara Peninsula watershed (NPW) protected areas connect with nature, their intentions for pro-environmental behaviour, and the actions they take to care for nature, the environment, and natural resources. We also synthesize knowledge about interventions taken by park managers around to world to promote pro-environmental and stewardship behaviours […]

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Nature-based solutions for health and economic-informed microclimate management

The research project promotes urban sustainability and the impact of preserving natural assets on health and the economy. It focuses on climate change adaptation and climate hazard mitigation, including, extreme heat, air quality, flooding, and high wind events. The research proposes a framework to predict and mitigate the impact of climate hazards on public health […]

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Integration and Application of New HDX-MS Technologies for High Throughput Biopharmaceutical Development and Manufacturing

As pharmaceutical companies look increasingly towards biological macromolecules like antibodies as new drugs, there is a rapidly growing need to be able to characterize these complex ‘drug candidates’ in detail. Rapid Novor, an international leader in antibody sequencing and characterization services, and the Wilson group, an academic leader in the development of HDX technologies, have […]

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Asset-Based Community Enterprise Development in Bolivia

This cross-sectoral research project will track the process of supporting four nascent community-based enterprises (CBEs) in indigenous communities in the Bolivian highlands, examining the complex interaction of factors that contribute to successful CBEs. The four cases will provide a test of an innovative “Community-Based Enterprise Development Model” (CBED Model) as a method to facilitate and […]

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