5G-enabled Drone-based Online Inspection System

Canada’s infrastructure is falling apart quickly, and we can’t replace it fast enough. In 2020, Ontario’s municipal infrastructure needed around $52 billion in repairs, according to a recent study by the Financial Accountability Officer of Ontario. If we keep postponing repairs, there’s a big risk of services getting disrupted and maintenance costs skyrocketing. The problem […]

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Chiral Higgs branch localization

Despite being our best fundamental description of reality, quantum field theories (QFTs) are not properly understood mathematically. To remedy this, one must take advantage of physical phenomena that elucidate unexpected relationships between different algebraic and geometric structures appearing in QFT. One such phenomenon is known as “3d mirror symmetry” which among other things relates two […]

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Governance for vulnerability to viability transitions in the Transboundary Sundarbans Social-Ecological Systems

Despite the contribution to food security, employment, poverty eradication, and community well-being, small-scale fisheries are neglected and remain vulnerable to a range of direct challenges, for example, conflicts with large-scale industrial fisheries and lack of government attention. Small-scale fisheries? transition from vulnerability to viability is complex and non-linear as the processes related to transition involve […]

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Deep geothermal energy development and optimization

The intern will conduct research to analyze subsurface conditions at a potential geothermal site by utilizing fracture assessment and optimization techniques, along with analytical solutions. In terms of fracture assessment, the intern will identify the most effective methods and parameters for stimulating the reservoir to boost productivity. This process is crucial for ensuring the economic […]

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Optimizing Mushroom Growth Monitoring through Machine Learning and Vision Systems

Mycro Harvest is a agriculture technology start-up focusing on revolutionizing mushroom production through implementing cost-effective automation and artificial intelligence models. Despite the increasing demand for mushrooms in various applications ranging from food to bioplastics, the industry faces significant challenges in scalability and efficiency. The application of our AI-based vision models aims to automate what has […]

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Medical Device Utilizing Saliva for Concussion Screening

The project involves developing a medical device to detect the clinically validated concussion biomarker, S100B. The intern’s work focuses on creating a device that can identify a specific threshold of this biomarker, crucial for identifying concussion risk. This research offers HeadFirst a unique opportunity to understand the potential of S100B in saliva for concussion diagnosis, […]

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Low-Temperature Single-Crystalline Electronics for Smart Displays

The display industry has witnessed rapid growth, in both volume and diversification. In recent years, this trend is expected to persist with continued consumer demand, for example, a wide range of devices such as MP3 players, digital cameras, GPS map readers, portable DVD players, and electronic books, as well as the ubiquitous mobile phone and […]

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A Novel Solvent-free Approach for Production of Bean Protein Fractions

The fast-growing market demand for food products with high nutritional qualities requires innovative and sustainable technologies. The proposed process employs an electrostatic technique to selectively charge proteins, carbohydrates, fibers, and other components in the bean flour and separate them based on the magnitude and type of their charge. The proposed methodology produces protein-rich flour from […]

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Uncovering Information Warfare: Detecting Russian Propaganda on Social Media

This research project aims to investigate the role of social media in information warfare, focusing on Russian propaganda campaigns related to the war in Ukraine. By collecting and analyzing tweets, the project will identify narratives and strategies used in these campaigns. The data will be classified and employed to train a machine learning model capable […]

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Machine learning augmented simulation of urban wind flows

Engineers that design and enhance buildings widely rely on computer simulations to understand wind flows. Wind flows around buildings can affect human safety, comfort, structural safety, and the surrounding environment. Therefore, accurate and fast simulation of urban wind flows is critical to ensure safe, comfortable, and sustainable designs. If architectural engineers have access to a […]

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Zero-to-Hero: Data Augmentation with LLMs and Human Feedback

Intent classification is a highly popular task within research communities and industries. Having a system that can classify intents of emails or messages from users can lead to a wide range of applications such as ticket routing and issue resolution. However, training such models require a large set of labeled data that might not be […]

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Exploring Restorative Responses to Hate & Radicalization

This project seeks to understand the appropriateness and applicability of restorative justice processes in preventing and responding to situations of hate and radicalization to violence, with consideration for how restorative justice might complement existing de-radicalization/violence prevention and response programs, while also not causing further harm. Through a synthesis of existing literature, this research project will […]

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