Direct and Selective Electroless Metallization of low-cost 3D Printed Composite Filaments Loaded with Metals to Enhance Surface Properties

The selective and direct metallization (electroless plating) of low-cost FFF 3D printed objects will be investigated in this research project. After 3D printing, the workpiece will be directly subjected to the electroless plating process (skipping the etching and catalyzation steps). We show that conventional low-cost conductive composite filaments loaded with metals can be used for […]

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Exploring Deep Learning Models for Understanding Consumer Language

With the ultimate goal of enhancing Nexxt Intelligence’s market research SaaS platform, inca, this project will create a robust, scalable algorithm for clustering consumer utterances into groups which are useful to ad-hoc market research objectives, and interpretable via natural language descriptions to market researchers. Due to the multifaceted and nuanced nature of consumer opinions and […]

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Optimized lighting and defoliation strategies to increase yield and chemical uniformity in Cannabis sativa

Cannabinoid uniformity plays an important role on the quality and marketability of cannabis. Several strategies to optimize cannabinoid uniformity have not been extensively researched to date. The objective of this study is to evaluate lighting and defoliation strategies to maximize yield and uniformity of cannabinoids throughout cannabis plants. A randomized block design will be used […]

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Fast Phylogenetic Mapping of Functional Anchors from the Mining Microbiome

Microorganisms have radically shaped Earth’s atmosphere and landscapes. From providing oxygen in the air we breathe to nitrogen in soils for farming, their innumerable ecosystem services have long gone unappreciated and under utilized. Recent advances in DNA sequencing technology – where the letters of an organism’s DNA are read – and computing have revolutionized our […]

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Community Based Participatory Research Strategies for Combining Creativity with Sustainability in the Arts and Beyond

The proposed Creativity and Sustainability post-doctoral fellowship will be situated at Mass Culture (MC), and executed in cooperation with University of Toronto Scarborough’s (UTSC) Urban Just Transitions (UJT). Over the years, MC and the scholars involved in UJT have experimented with various forms of community-engaged methods in order to generate impactful research that will inform […]

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Solar-driven H2 production by photovoltaic-electrochemical water splitting

Presently, it is significant to reduce CO2 emission and other greenhouse gas emissions. One of the major CO2 emission contributors is transportation sector. To reduce emissions and achieve a zero-emission society, the use of H2 as a fuel in ground, air, and marine transportation, a feedstock in petrochemical industry, and an energy carrier for energy […]

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Automatic Optical Character Recognition Preprocessing for Custom Gameplay Text

Computer Games are one of the key use cases of graphics cards of AMD. To ensure highest quality and performance, extensive testing of graphics hardware and software is required. However, much of this gameplay testing is manual and requires significant efforts due to varying styles in games and their versions. In this context, an open […]

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Inspection of Bridges in Ontario for Damage Detection and Rehabilitation

This Mitacs project will undertake bridge inspections of 33 road bridges in Ontario to determine locations and level of damages in these bridges and suggest appropriate rehabilitation techniques to keep these bridges in service. The data collected will be added to the current pool of similar data already collected by the industry partner, MEDA to […]

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Blockchain-based federated learning for Agri-food supply chain

This project utilizes blockchain technology, smart contracts, and federated learning techniques to enhance collaboration between multiple parties for the agri-food supply chain application. It aims to promote data trust between multiple stakeholders in the supply chain by adopting blockchain technology and federated learning techniques. Multiple parties can keep their data at their local data storage, […]

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Analysis of Canadian Western Red Spring Wheat Using Near Infrared Spectroscopy

The proposed research will develop a reliable analytical method for the quantitative analysis of grain grading factors for Canadian Western Red Spring wheat using near infrared spectroscopy (NIRS). Most commercially available near infrared spectrometers used in agricultural applications require significant expertise, a large footprint, a controlled environment, and are prohibitively expensive. The NIRS technology is […]

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Robot control using artificial intelligence for high diversity and low volume production sites

NeuroBotIA aims at tackling problematics of manufacturing SME such as the shortage of qualified workers. Currently, Canada is facing a labor shortage of 39% which will increase overtime due to younger generation interest in professional job and population growth decrease. Therefore, NeuroBotIA will develop technology to alleviate labor shortage using intelligent robots. This project aims […]

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