The proposed project is centered on developing an advanced technique known as Magnetic Resonance Navigation (MRN) for liver cancer treatment. This cutting-edge method employs the magnetic field of MRI machines to create micro-particle aggregates, which are then precisely directed to liver tumor-feeding arteries using magnetic field gradients. This approach promises to be less invasive and […]

The project’s goal is to find out if the network size estimator L-OCI, designed for direct-to satellite Internet of Things LoRa based scenarios, can be extended and/or adapted to work based on LR-FHSS. We want to see if they can handle many devices, and whether this combination is good or bad for a specific problem. […]

This research will study an efficient method for extracting germanium from waste fiber optics cables. Germanium is widely used in optical fibers, infrared optics, and solar energy industry. Optical fiber is the major application of germanium. Germanium possesses various properties that can make positive impact on these fields. The demand for germanium will increase with […]

The proposed project is focused on the coordination protocols for vehicles that try to exploit a cooperative perception of the environment. The cooperative perception and sensing allow to improve the safety of autonomous vehicles over the streets. In particular, the joint use of LIDAR, Cameras, radars, and ultra-sonic sensors permits to perceive objects, obstacles and […]

In the context of an aging population, it is becoming more and more important to develop novel innovative kinds of sensors, able to detect early health changes that could potentially affect people’s health. Within this Globalink Research project, we intent to develop plasmonic based sensors, small, cheap and easy to deploy, which will be used […]

Exponential growth in the number of older adults (over 65 years) worldwide is expected to occur over the next half century. While physical mobility plays a crucial role in the quality of life and in the ability of independent living, it decreases with natural aging. This research project aims at developing a solution to reduced […]

Fondée en 2020, AWL-E a pour mission de commercialiser des solutions de transmission d’énergie sans fil grâce à sa technologie unique offrant une plus grande distance, puissance et efficacité à ses utilisateurs. L’entreprise se concentre sur la mise en oeuvre de ses inventions dans des applications ayant un fort impact social et économique. L’entreprise a […]

10% des patients d’arthroplastie du genou, sont sujets à des complications qui peuvent nécessiter une réopération. Pour les cas les plus complexes, les chirurgiens ont encore peu d’informations pour appuyer leurs décisions quant à l’approche opératoire. L’entreprise Philomec a développé dans les dernières années un modèle musculo-squelettique donc les capacités prédictives peuvent répondre à ce […]

Neuromod is a revolutionary pain treatment designed to help improve the quality of life of the ~4 million Canadians living with chronic musculoskeletal (MSK) pain. Chronic MSK pain represents a major healthcare challenge due to the severity of pain, its impact on the individual, family, and Canadian Healthcare system. Current therapies for chronic MSK pain […]

We proposed a breath analyzer to identify viruses by utilizing an affordable fiber coupler. This sensor captures the optical absorbance spectrum, which contains the unique signatures of viruses present in the breath. The device is user-friendly: simply exhale into the analyzer to receive results. Our product addresses the traditional challenges of virus detection, eliminating high […]

Wearable non-invasive devices have emerged as useful tools for tracking physiological data from companion animals. By combining this data with machine learning techniques, it is possible to proactively detect disorders and prompt owners to seek medical attention. This research aims to asses the efficacy of this approach by using wearable devices for continuous monitoring and […]

Object handovers, which involve the action of giving and receiving objects, are an integral task for human-robot collaboration. Current human-to-robot handover systems rely on learning from sampled human expert trajectory data [5]. These data are usually difficult to gather, as two humans must hand over many different objects while recording the human motion with a […]