The project is part of a PhD Thesis titled “Overcoming the Reality Gap: Imitation and Reinforcement Learning Algorithms for Bipedal Robotic Locomotion Problems” which aims to study the use of imitation and reinforcement learning algorithms to allow humanoid robots to learn how to walk in an efficient way. In particular, the project to be developed […]

The project mainly focuses on the cellular behaviour and ways to predict human gene interactions. Using a method called Proteinfragment Complementation Assays, we are able to compute the biochemical networks in living cells. The results of this project will provide a novel and highly efficient way to establish hypotheses about the organization of cellular regulatory […]

Ferme d’Hiver propose de bâtir un système décisionnel basé sur les données visant à augmenter la productivité et à minimiser les coûts en énergie en agriculture verticale. Le projet innovateur suggère de regrouper l’ensemble des fonctionnalités d’un complexe en salle fermée/serre traditionnelle en un seul et unique système de production et de décision automatisé. L’un […]

Sustainable product development adheres to the needs of the present while developing a product without compromising the ability of future generations to meet their needs. This proposal aims to develop a suite of sustainability metrics that can be computed by analyzing data like company website, product material information, etc. The metrics will be integrated into […]

This project will entail the software development of FusionHub’s platform. FusionHub is an industrial asset maintenance tracking software empowered through cross-platform data interconnectivity, collaboration between maintainers, and predictive analytics.

Cognitive AI software using a metallurgy ontology can use semantic network descriptions of mineral deposits and mines to evaluate a mineral deposit and determine which deposit, anywhere in the world, most closely matches its metallurgical characteristics. After finding a suitable match, the user would be able to read the metallurgical report(s) of the similar deposit(s) […]

The human brain can be subdivided into structural regions based on the organization of neuronal cells. To identify these regions, postmortem human brains are cut into thin histological slices, scanned using light-microscopic scanners, and analyzed by neuroscientists. However, established analysis methods are time and labour intensive and do not scale to the large amounts of […]

As more and more people record their lives and actions in Social Media, it has become an invaluable resource for the study of society’s opinions and sentiment. From individual life events (e.g., someone’s purchase of a digital camera) to collective events of major societal impact (e.g., the onset of the COVID-19 pandemic), social media has […]

Burns are a common type of skin injury that cause numerous deaths around the world every year. Timely assessment of burns plays an important role in a successful treatment. Traditionally, burns are assessed through visual and tactile observation by clinicians. This method of assessment is highly inconsistent as it depends on the availability of a […]

Ventricular drainage is commonly performed in neurosurgery departments or in theemergency room. It consists of inserting a catheter into the brain, using a needle, until it reaches the frontal horn to drain cerebrospinal fluid for therapeutic or diagnostic purposes. Nowadays, the learning of this gesture is only performed by companionship: there is no effective simulator […]

Many seniors are spending their time lying in bed or sitting in recumbent chairs because of chronic conditions that limit their mobility. It is crucial to assure that their position is changed regularly to prevent bedsores. Therefore, a monitoring system is required to not only remind the caregivers or family members to reposition the patients […]

There is an increasing demand for high resolution soil information to support precision agriculture. One of the tools that has been a focus of research to help meet this demand is the development of proximal soil sensing using reflectance spectroscopy. The advantage reflectance spectroscopy is that it is rapid, non-destructive, and can test for multiple […]