L2M – AI-Powered Microwave-Based Biosensor for Clot Formation Assessment

This project aims to develop an innovative biosensor that can continuously and non-invasively monitor clot formation in whole blood or plasma in real time. By combining microwave-based sensing technology with artificial intelligence, the system provides accurate, real-time information on coagulation dynamics without the need for complex laboratory instruments. The technology will help healthcare and biomedical […]

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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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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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Endovation

This project focuses on extending Neuraura’s LoOoP neurostimulation platform to address the unmet needs of individuals with endometriosis—a chronic, debilitating condition affecting 1 in 10 individuals with a uterus. While TENS therapy is already used for symptom relief, Neuraura is exploring its potential to influence tissue behavior and possibly slow or reverse lesion growth. To […]

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Councils of AIs: A Multi-Agent Approach to Strategic Decision Support with Large Language Models

This research project develops an innovative approach to decision-making assistance by leveraging teams of AI-based agents, known as “councils of AIs”. These councils utilize large language models to collaboratively provide strategic advice and support for complex managerial decisions. The project aims to significantly improve the quality and effectiveness of strategic decision-making processes within organizations. The […]

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Investigating the mechanism of theta burst stimulation

Transcranial magnetic stimulation (TMS) is a safe form of non-invasive brain stimulation that treats different brain conditions. Theta burst stimulation (TBS) is a TMS protocol that alters the underlying neural circuitry and is an FDA and Health Canada approved treatment for Major Depressive Disorder. How cTBS changes brain function remains unknown; however, understanding this mechanism […]

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Generative AI in Corporate: Do Male and Female Leaders Respond Differently?

This project will study how male and female executives differ in the adoption of artificial intelligence (AI) technologies. I use the launch of ChatGPT as the big technological event to understand how executives communicate and discuss the adoption to generative AI. I then analyze how these differences affect how investors react in the stock market. […]

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