Global agricultural supply chains face persistent challenges such as unstable supply, uncertain demand, and tariff-related uncertainty that further complicates pricing and network design. This project focuses on the design and optimization of global greenhouse agricultural supply networks under trade policy and market uncertainty. The research aims to improve supply chain profitability, resilience, and adaptability to […]

This project aims to make mass timber buildings, a sustainable alternative to concrete and steel, even more reliable. While mass timber is great for the environment, we don’t fully understand how it handles moisture over time, which can affect its durability. Our project will tackle this by using advanced sensors to monitor a new mass […]

Faulting might be affecting the flow of injected CO2 into the subsurface at the Aquistore Carbon Capture and Storage facility in southeastern Saskatchewan. 3D seismic data indicate that faulting affects the Deadwood Sandstone injection target approximately 100 m to the west of the injection well. The seismic data cannot however image all the structural complexity […]

The growing urgency to combat climate change has driven major interest in technologies that can capture and convert carbon dioxide (CO2) into useful fuels and chemicals. Electrochemical CO2 conversion is a focus area in carbon capture and utilization storage (CCUS) as a potential disruptive technology for a circular carbon economy, including decarbonization of chemical manufacturing, […]

This research project will explore how certain genetic differences may increase the risk of developing mental health conditions like schizophrenia and bipolar disorder. These conditions often begin in the teenage years or early adulthood, but researchers believe that early brain development, before and after birth, plays a key role. The intern will use powerful computer […]

Severe traumatic brain injury (sTBI) is a leading cause of mortality and disability in pediatric populations. Surviving patients often face long-lasting neurological deficits exacerbated by primary and secondary injury, necessitating further advancements in prognosis and understanding of sTBI mechanisms. Our project aims to address this issue by identifying differentially expressed proteins present in pediatric sTBI […]

This project will extend Bruce Power’s Unit 7 Digital Twin by developing a library of 3D digital assets comprised of digital models of nuclear plant components, each containing metadata referencing applicable technical specification data. Aligned with the CFI College Fund award that supports XR-enabled maintenance training, student interns, spanning computer science, web technology, nuclear engineering, […]

We are extremely excited about the collaboration between three leading research institutes-Lakehead University, KTH and RISE- driving innovation, skill development and shared expertise, all focused on transforming waste into value added products. We are pioneering a new approach for applying lignin, a biobased material in formulating a biodegradable, green and sustainable emulsifier. Lignin is a […]

This project is a collaboration between Lakehead University in Ontario, Canada, and Åbo Academy in Finland. In this research, we focus on replacing harmful chemical ingredients, dispersants, with sustainable, renewable, plant-based materials to develop more environmentally friendly paints. Conventional paints, particularly those formulated with alkyd resins, often release pollutants or harmful volatile organic compounds (VOCs) […]

Advisory bodies are one of the many ways Toronto City Council and City staff receive input from the public and organizations to address priorities and inform decision-making, policy development and service delivery. This project will assess current approaches to advisory bodies in Toronto and other Canadian municipalities and, through jurisdictional research and participant interviews, identify […]

In Toronto, newly arriving refugee claimants have become the fastest-growing client group in the City’s shelter system, outpacing the rest by far. To support the City of Toronto in identifying effective strategies to address the refugee shelter crisis, Toronto Shelter & Support Services is interested in a comprehensive jurisdictional scan of shelter and housing supports […]

The project focuses on Variational Mean-Field Games: it will provide theoretical guarantees for the convergence of numerical algorithms currently used and possibly develop also novel machine learning methods for it.