L2M – Asphaltenes-Derived Carbon Dots for Friction Reduction

Water-based lubricants have emerged as substitutes for petroleum-based lubricants in various applications such as hydraulic fluids, cooling fluids for metal cutting, and stern tube bearings in ship propeller shafts. My STEM tech business proposes an asphaltenes-derived carbon dots (AsphaDots) lubricant which intends to solve the friction and wear problems in steel and allied materials, which […]

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Design and Development of a Secure Online Platform for Real-Estate Transactions

ExactDeposit is an online tool that enables real-estate buyers to pay deposits on real-estate transactions electronically via credit or debit card. In addition to facilitating the deposit transaction, it will allow real-estate brokers and agents to log in and view transaction statistics both in real-time and historically. The tool will provide a user-friendly online form […]

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L2M – A Modular and Low-Cost Carbon Capture Solution for Rapid Deployment

This project will support the development of a business strategy for a startup company based around the rollout of low-cost carbon dioxide capture technology. Through a series of workshops and from access to mentorship from individuals well versed in the start-up space, the intern/founder will gain crucial knowledge pertaining to the potential end users, structuring […]

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L2M- Biomass-derived solvent for sustainable bitumen recovery

The collaboration between BioOilSolv and Innovate Calgary aims to revolutionize bitumen recovery processes in the oil sands sector by developing biomass-derived solvents as a more sustainable and effective alternative to traditional methods. Through this project, an intern will undertake several key objectives to propel the commercialization of biomass-derived solvent technology. Firstly, the intern will focus […]

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L2M – Advancing Cancer Immunotherapies Through Microbiome-Derived Solutions

We are dedicated to enhancing cancer treatment by leveraging the microbiome’s potential – the diverse microorganisms within our bodies. While existing therapies like immune checkpoint blockade (ICB) show promise, their effectiveness varies widely among patients. Our project focuses on the translation of innovative microbiome-derived compounds from laboratory to the market to improve ICB therapy outcomes. […]

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L2M – A unique electrochemical approach using ocean/brine water for gigaton CO2 removal

The PEACH (Practical Electrochemical Air Capture and Hydrogen) DAC (Direct Air Capture) offers a low-cost, nature-inspired ocean-based carbon dioxide removal (CDR) using a unique electro-geochemical approach. The PEACH DACquiri is a form of Ocean Alkalinity Enhancement (OAE) that seeks to modify surface ocean water (or other water mass) chemistry, using ion-selective electrode systems to promote […]

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Advanced Cognitive Artificial Intelligence Systems for LLM-based Conversation Agents

The proposed research addresses fundamental challenges in developing LLM-based AI conversational agents for industry, health and related fields. The partner organization, Industrio AI is interested in overcoming these challenges by using new AI techniques that enable smarter, more natural, empathetic, and responsive AI chatbots for their customers. The goal is to produce a protoype for […]

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Production de biocharbons par torréfaction/pyrolyse de résidus maraîchers et lignocellulosiques et, étude comparative de leurs caractéristiques pour une utilisation au sol

Un programme de recherche a été entrepris par la Chaire de Recherche Industrielle en Environnement et Biotechnologie (CRIEB) de l’UQTR, l’Université Laval et Innofibre du Cégep de Trois-Rivières en partenariat avec Airex Énergie et la division du MAPAQ en Mauricie. Les mandats sont de produire des biocharbons à partir de résidus de cultures agricoles (maraîchères) […]

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Quantum-Inspired Machine Learning Methods for Anomaly Detection

Using simplified language understandable to a layperson, provide a general, one-paragraph description of the proposed research project to be undertaken by the intern(s) as well as the expected benefit to the partner organization. (100-150 words) In this project, we will develop quantum and quantum-inspired machine learning models for anomaly detection applications. We will build statistical […]

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Ongoing innovation with energy-economy-emissions models

The goal of this project is to support the research learning of three master’s students whose work would advance methods for estimating the impacts on emissions, the economy, energy costs and housing affordability resulting from government environment, technology, economic and urban form policies and investments – occurring at all three levels of government in Canada. […]

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A Comprehensive Evaluation of various EDR Products in Alignment with MITRE Framework

The rise in cyber threats mandates robust EDR products like CrowdStrike, Sophos, and Sentinel1, with evaluation within the MITRE ATTACK framework improving response to varied threats. The project aims to compare EDR products comprehensively using the MITRE framework, identifying strengths and weaknesses in countering advanced attack techniques and offering optimal EDR selection advice. The analysis […]

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