This Mitacs Globalink project, part of a PhD thesis titled “Exact and Heuristic Methods for the Quadratic Knapsack Problem (QKP),” aims to develop new optimization techniques for solving the QKP, a problem with significant applications in industries like logistics, finance, and electronics. Building on prior successes, including a dynamic programming heuristic and an algorithm using […]

This research project aims to solve the problem of fragmented data in the aviation industry by developing a system that integrates and analyzes various data sources. The goal is to create dynamic dashboards that provide real-time insights into safety, compliance, and operational status for different users, such as airlines and ground service providers. The focus […]

The aging population faces mobility challenges, with existing devices offering only basic, passive support, which increases the risk of falls and injuries. The proposed solution, AidMe LLM-Powered Mobility Framework, enhances motorized assistive devices with AI, allowing users to issue voice commands and receive adaptive support. This improves user autonomy and reduces injury risks. This BSI […]

We will develop a fiber-optical sensor system that can be applied to monitor pipelines. By recording the response of a fiber-optic transducer to ultrasound that is generated on the wall of a pipeline we can measure the flow velocity of the fluid inside the pipeline. Similar measurements are presently conducted by pipeline operators using piezo-electric […]

This project aims to develop a vertical farming system that will produce fresh, high-quality crops in urban areas, helping to address food insecurity and promote wellness. Using advanced farming technology, the system will require less land and water compared to traditional agriculture, making it more sustainable and efficient. The expected benefits for the partner organization […]

The OER is a key reaction in water splitting, crucial for green hydrogen production. Currently, precious-metal catalysts like IrO2 and RuO2 are effective but prohibitively expensive and rare, limiting their application. Iron-based electrocatalysts, given their abundance and favorable catalytic properties, offer a promising alternative but require further optimization to achieve performance levels competitive with state-of-the-art […]

The research program investigates the potential of form-fitting connections in terms of structural performance, manufacturing cost, ease of assembly, and embodied carbon to that of connectors currently employed in the industry. The joint topologies considered will be influenced by joinery techniques and geometry from various cultures and an understanding of the factors that led to […]

BioCCM is an innovative start-up focused on sustainable construction materials, transforming agricultural and forestry biomass waste into phase change materials (PCMs) for energy-efficient buildings. These advanced materials provide an environmentally friendly solution for maintaining thermal comfort in structures while reducing carbon emissions and improving resource efficiency. By utilizing biomass residues, BioCCM addresses key environmental and […]

This project supports the development of a market readiness plan for the GHGSensing product. The project’s outcome will help the company better understand marketing barriers and develop more realistic product launch strategies. GHGSensing aims to provide a cost-effective solution for large-scale emissions monitoring, enabling farmers to track and reduce their environmental impact more effectively. By […]

This project focuses on developing an innovative passive capillary microfluidic platform for the isolation of extracellular vesicles (EVs), which are essential for diagnostic and therapeutic applications. The goal is to create a more efficient, scalable, and cost-effective method of EV isolation compared to traditional techniques such as ultracentrifugation. This technology will allow for high-purity EV […]

There is a lack of technology to optimize performance and prevent injuries in cyclists. This is a potential reason leading to an injury rate of 3-50 per 1000 persons. Our solution leverages AI to deliver real-time, accurate biomechanical feedback to riders. By providing actionable insights, it has the potential to reduce injury rates and significantly […]

Pedaling exercises using stationary cycling ergometers are a widely used rehabilitation method for lower limb injury recovery. However, current cycling devices do not allow for individualized training of each leg based on its specific load-carrying capacity. APAD is novel cycling ergometer that will address this gap by designing and developing a smart cycling ergometer capable […]