Oxygen vs. Metabolites: investigating Mechanistic Drivers of Skeletal-Muscle Hypertrophy in Low-Load Hypoxic Resistance Training

Many athletes and patients use blood-flow-restriction (BFR) cuffs to make light-weight exercise feel like heavy training, but no one is sure why this type of exercise causes improvements similar to traditional exercise. Is it because the cuff blocks oxygen from entering the muscle, or because it traps byproducts (metabolites) that signal the muscle to grow? […]

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Trade in Services as Transboundary Data Regulation

This research falls at the intersection of the “data, economy and society” and the “digitalization, security and democracy” core research areas. It aims to tackle the consequences of cross-border data flows on democracy and individual’s security, while underlining the economic potential of this data. The research also exists in continuation of CIGI’s two essay series […]

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Adaly.AI Generative AI & Data Science Proposal (WLU)

This project focuses on researching and developing an advanced coordination mechanism between our API layers and LLM infrastructure. The goal is to efficiently access and reason across both structured and unstructured data sources to improve customer’s decision-making processes. Success will be measured by the speed in which that data source can be identified, sourced, and […]

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Development of a Climb Model for Aerodynamic Shape Optimization of Blended-Wing-Body Regional Aircraft

In the interest of sustainability, novel aircraft configurations such as the blended-wing-body (BWB) have garnered a great deal of attention for their potential to dramatically improve aircraft fuel efficiency. The BWB concept has been studied extensively using aerodynamic shape optimization to predict its performance benefits and study the key design features of the aircraft. In […]

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Ergonomic Design of an Automotive Material Sequencing Centre

The Ford Motor Company is bringing 800 jobs into the Oakville Assembly Plant. These jobs will be concerned with sequencing parts for the new Material Sequencing Centre. To ensure that workers remain healthy, and their productivity and quality output is up to Ford’s high standards, Ford (through this fellowship) wants to establish clear ergonomic guidelines […]

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Subspace Hierarchies for Musculoskeletal Control

Musculoskeletal systems are responsible for the rich and diverse ranges of motion and behaviors exhibited by all sorts of animals, including humans. Recreating these motions is key for applications in medical simulation, robotics, and virtual reality. Unfortunately, modeling even simple control tasks such as grasping or locomotion with such musculoskeletal systems is extremely difficult. The […]

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Vapor Cell Development for Atom-Based Radio Frequency Sensing

Vapor cell technology is the backbone of a wide range of atomic sensors. This project aims to improve the functionality of vapor cells for Rydberg atom radio frequency detection. The main goal of the work is to test vapor cells whose interior walls are coated with materials that passivate the surfaces so as to eliminate […]

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Ergonomic Design of an Automotive Material Sequencing Centre – Year two

The Ford Motor Company is bringing 800 jobs into the Oakville Assembly Plant. These jobs will be concerned with sequencing parts for the new Material Sequencing Centre. To ensure that workers remain healthy, and their productivity and quality output is up to Ford’s high standards, Ford (through this fellowship) wants to establish clear ergonomic guidelines […]

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Advances in sensor fusion and gap-filling for satellite based analysis ready surface reflectance data

This project aims to develop a physics-guided deep learning framework that can be used to further enhance the robustness of surface reflectance forecasting in Planet Fusion. We want to improve and refine existing temporal-driven gap-filling techniques in handling extensive cloud cover and dynamic land changes to avoid delays and reduced reliability of delivered insights to […]

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A wireless headset for power-aware EEG/non-EEG signals processing and seizure warning – Year two

Epilepsy is a debilitating neurological disorder affecting approximately 50 million people worldwide (World Health Organization). This project proposes to develop a SMART (Seizure Monitoring At the Right Time) Headset for these patients to monitor their brain signal and track their movements, heart rates and breathing patterns. This headset will have new types of sensors suitable […]

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Guiding delisting decisions in the Great Lakes area: Development of a Bayesian risk assessment methodology

The Bay of Quinte, a Z-shaped embayment at the northeastern end of Lake Ontario, represents a characteristic case, where scientific uncertainty underlies the current management efforts to integrate environmental concerns with socioeconomic values. The proposed project aims to develop a methodological tool that can be easily engaged with the policy practice of adaptive management and […]

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Integrated Enclosure Optimization and Software Architecture Development for Buddha Health Products.

Buddha Health Products is an emerging health technology company focused on non-invasive wellness monitoring and personalized therapeutic solutions. Its primary activities involve developing smart actuator devices integrated with digital platforms to track health metrics and deliver targeted interventions. The company has already completed hardware R&D and, in collaboration with WIMTACH, finalized the UI/UX design. The […]

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