L2M – Reinforcement-Learning-Driven Electronic Design Automation (EDA) for Optimal Layout Placement

Reinforcement Learning (RL) driven Electronic Design Automation (EDA) is revolutionizing layout placement optimization for integrated circuits, enabling a faster design process. By incorporating the RL techniques, we enhance the historically precise yet labor-intensive process for smart integrated circuit (IC) fabrication. This innovative approach streamlines IC design, accounting for factors such as foggy and proximity effects, […]

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L2M – Collabrix AI: Bridging the Gap Between Academic Talent and Startup Needs

Collabrix AI is developing a platform to connect startups and SMEs with student teams for project execution. By using an AI algorithm to match projects with the right student teams, Collabrix AI helps businesses access flexible, affordable talent while providing students with valuable real-world experience. This project aims to validate the market need for such […]

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Maximizing Efficiencies – Identification of Optimization Based Best Practices for Commercial 3d-printing

The research project seeks to understand, model and analyze the potential efficiency impact of additive manufacturing (AM or 3D-printing) on select manufacturing processes. The research will involve identifying, testing and measuring optimization opportunities in current manufacturing processes by combining current best practices and technologies across various AM technology and services, operational research methods and standard […]

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The Connected Workplace: Private Industry

This project will focus on the use of wireless technologies in the Canadian private sector work environment. Wireless is the fastest growing area of Canadian communications. Despite enormous growth for personal use, recent market data demonstrates the workplace remains a largely underdeveloped market for wireless service providers. The overall purpose of this project is to […]

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L2M – A Hybrid B-Mode + Ultrafast Doppler Imaging scheme for Miniaturized High Resolution Ultrasound-Guided Tumor Resection

Glioblastoma (GBM) is an aggressive brain cancer with a five-year survival rate of less than 5%, primarily due to the tumor’s high recurrence rate. The critical challenge in GBM treatment is extending patient survival while maintaining quality of life. Current minimally invasive surgical techniques for GBM involve using endoscopic tools guided by optical microscopes and […]

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The Connected Workplace: Public Sector

The workplace remains a largely underdeveloped market for wireless service providers. This project will focus on the use of wireless technologies in the Canadian Public Sector workplace. The overall purpose is to better understand the obstacles to technology adoption in the workplace, and offer actionable recommendations on how to mitigate them. The work will be […]

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The Experiences and Practices of Mexican Novice Scholars in Writing for Scholarly Publication: A Mixed Methods Research Inquiry

Given global competitiveness for quality research articulated through scholarly publication, this study examines (I) the challenges faced by Mexican novice scholars in writing for scholarly publication in academic journals, and (2) the ways in which these novice scholars are supported in Mexican academic context and by expert members of their academic community in communicating their […]

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Real-Time Global Enhancement: Integrating Live Translation, Dubbing, and Streaming Technologies into Aview International’s Platform

This project aims to enhance Aview International’s platform by adding advanced real-time translation, live streaming support, and real-time dubbing capabilities. These new features will allow content creators to broadcast their content live in multiple languages simultaneously, breaking down language barriers and making their content accessible to a global audience. This will significantly expand Aview International’s […]

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Accelerating electronic structure simulations on quantum computers using complete active space approximations

Computational chemistry is a powerful tool in the development of new pharmaceuticals, materials, and batteries. With accurate and fast computational methods, one can predict the physical and chemical properties of a molecule without having to prepare it in a laboratory and perform experiments, which can yield dramatic time and cost savings. However, the chemistry of […]

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