Exploring the commercial application of genetically engineered microalgae strains for the production of high valued metabolites for aquaculture fish feed

With the demand for high quality farmed fish on the rise, we are also expected to deliver on greater supplies of fish feed. Currently, fish feed is manufactured by capturing small foraging fish in the ocean, which are converted into pellets. This practice hinders marine life by disrupting the natural food chain of larger fish. […]

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Computer Vision-Based Deep Learning Algorithms for Detecting Marine Life and Physical Phenomena from Acoustic Backscatter Time Series

Large quantities of data are constantly acquired during underwater acoustic surveys for environmental monitoring and resources management. The data, visualized as 2D images, are typically analyzed manually or semi-automatically by experts (marine biologists, acousticians, oceanographers), which is time-consuming and prone to errors and inter-expert disagreements. The goal of the proposed research project is to develop […]

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Modelling land-based mitigation technologies (LMTs) with ALCES Flow: A participatory modelling platform for landscape simulation and ecosystem carbon emission analyses

Wildfire incurs major environmental and economic losses in many areas of the world. Although climate change is playing an important role in changing fire frequency and magnitude, human management strategies can play an arguably comparable role. Managers must choose from a range of strategies to ensure viability of forest stands, but research supporting efficacy of […]

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EM Sensing for Contactless Thickness and Conductivity Measurement

One of the essential components of a lithium-ion battery is its electrodes, with the most common type comprising conducting coatings applied to both sides of a metal foil. The goal of this project is to develop a sensor for measuring thickness, conductivity, dielectric response and moisture content of the coating. The main challenge of this […]

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Hybrid Graph-based Generative Architecture of Schematic Floor Plans

Our research provides time-cost and financial effective solutions for construction projects and customers. The solutions include a performing of the graph represented generative floorplan, the scalable and user-participated framework. This research targets performing an end-to-end generative pipeline to conduct valid schematic floor plan designs for contextual adjustment representation of any functional buildings. The goals are […]

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Les élu.es des petites municipalités québécoises face aux outils pour faciliter la participation citoyenne dans le cadre de la transition socioécologique : étude de cas

La recherche qui sera effectuée dans le cadre de ce stage est une étude de cas visant à acquérir des connaissances sur le rapport entretenu par les élu.es des petites municipalités québécoises avec différents outils existants pour leur permettre de favoriser la participation citoyenne. Nous nous intéressons au rapport à ces outils dans un contexte […]

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Establishment, characterization, and directed differentiation of induced pluripotent stem cells for the improved treatment and understanding of pediatric brain tumors

Brain tumors occur in one out of each four children diagnosed with cancer. Sadly, these kids are less likely to survive their disease than those diagnosed with blood cancers. The kids that do survive brain cancer often suffer from side effects of treatment, which can hamper their ability to succeed later in life. Thus, the […]

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The Communicative Challenges and Implications of Quantum Computing

The industry partner 1QBit has access to a processor that uses an adiabatic annealing technique to address a special class of optimization problems for initial application in finance. Optimization problems have a long and broad relevance to challenges faced in the financial sector. The prospect of quantum annealing as a way to innovate in solving […]

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Wild blueberry geospatial image analysis

We will develop complex image analysis processes to advance and tighten our current processes and more accurately and speedily identify bare spots and in addition develop new processes to identify specific weeds that cause problems in wild blueberry fields. Using spatially accurate drone photography of wild blueberry fields the intern would use custom programming logic […]

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