Scalable Quantum Computing – Part B

Ruken Family Office Corporation is an investment firm specializing in data-driven strategies, risk modeling, and computational finance. As financial markets become increasingly reliant on high-performance computing, emerging technologies like quantum computing have the potential to reshape computational methodologies. However, the scalability and practical viability of quantum computing remain uncertain. This project aims to identify which […]

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Development of a microbe granulation technology for the increased treatment of organic wastewater, removal of emerging containments and digestion of sludge

Today we are failing to properly and completely treat organic wastewater which results in large amounts of sludge buildup and many untreated emerging contaminates that are shaping and changing our environment. If we ignore this problem: we will see an increased need for resources to development new and very expensive mechanical processes to manage sludge, […]

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L2M – Portable Ultrasound AI for On-Farm Beef Carcass Grading

We’re developing a user-friendly, portable ultrasound system with built-in artificial intelligence to measure important beef carcass qualities like marbling, backfat, and ribeye area directly on the farm, in real time. This system includes a handheld scanner that connects to a small device. The device instantly analyzes the ultrasound images and shows straightforward results on a […]

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L2M – SmartMed: AI-Powered Platform for Alzheimer’s Medication Management

Medication non-adherence is a major challenge in Alzheimer’s care. Fewer than half of patients take their medications as prescribed, leading to faster disease progression, preventable hospitalizations, and significant emotional and financial strain for families and caregivers. Traditional pillboxes and reminder apps have not solved this issue — they are not designed for people living with […]

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L2M-User-preference based indoor path planning

While outdoor navigation systems like Google Maps have become highly advanced, finding efficient paths indoors such as inside hospitals, airports, or shopping malls remains a major challenge. Most existing indoor navigation tools are static, meaning they cannot adapt to real-time changes such as crowded areas or accessibility barriers. They also rarely account for the diverse […]

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L2M – AI Powered Seed Analysis

As part of the Lab2Market program, this project explores the commercialization potential of the group’s previous research pertaining to the use of computer vision, artificial intelligence and machine learning to precisely detect and identify seeds. Over the 4-month duration of the project, the team will participate in Lab2Market workshops, panels, and lectures from successful founders […]

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Lululemon: Sports Bra Comfort Assessment

Female breasts experience large displacements during physical activities such as running and jumping. This can lead to problems such as breast discomfort, and even chronic neck and back pain. However, correctly designed sports bras can alleviate some of these symptoms, and enable women to exercise with greater comfort. lululemon Athletica strives to develop a sports […]

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Feasibility study of additively manufactured composite structures for deployable optics

Wyvern Inc., an Edmonton-based satellite imagery company, is partnering with Dr. Joanna Wong’s lab at the University of Calgary to develop lightweight, durable satellite components using advanced composite materials and additive manufacturing. Prototypes will be tested to ensure they withstand the harsh conditions of space, strengthening Canada’s space supply chain and advancing national priorities in […]

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Morton Food Service

This project will help Morton’s Foods make better day-to-day decisions and coordinate customer outreach. We will review available sales, orders, product, and inventory data to define a short list of clear KPIs and build easy-to-read dashboards for leaders and operations. In parallel, we will set up a simple, multi-user SMS process with shared templates, consent/opt-out […]

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Development of the Market-Ready Next-Generation Non-Destructive Testing (NDT) Data Collection & Analysis System

This project focuses on developing a ready-to-market Non-Destructive Testing (NDT) Data Collection & Analysis System to improve the accuracy and efficiency of NDT assessment. By automating data collection and analysis, the system will reduce assessment costs by over 50%, making inspections faster and more reliable as well as providing asset maintenance advice and lifespan prediction. […]

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High-Affinity Selective DNA Intercalators (HASDI): A novel approach to interfere with the transcriptional activity of disease-causing transcription factors

Cancer is a complex disease that involves multiple changes in normal cell biology, all of them leading to increased and abnormal cell replication. Depending on the tissue type, this uncontrolled tissue growth ultimately causes organ malfunction and a wide variety of signs and symptoms which, all together, indicate a pathological state which needs to be […]

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