L’optimisation combinatoire occupe une place prépondérante dans notre société actuelle. Que ce soit la logistique, le transport ou la gestion financière, tous ses domaines se retrouvent confrontés à des problèmes pour lesquels on recherche la meilleure solution. Cependant, un grand nombre de problèmes très complexes reste encore hors de portée des méthodes d’optimisation actuelles. C’est […]

Bacterial infections spread from one person to another person by means of a simple “touch” of contaminated surfaces in healthcare units. These infections have become untreatable to most existing antibiotics, thereby accounts for significant mortality rate. Polyamyna Nanotech is developing new antimicrobial coatings that prevent spreading dangerous bacterial infections in hospitals and health care units. […]

Antibody-based medicines are playing an ever increasing role in the arsenal of treatments of many diseases, from cancer to obesity to Alzheimer’s. Cell surface proteins, called membrane receptors, are considered key therapeutic targets in many of these pathologies, yet targeting them with antibodies has proven to be a challenge. Amgen British Columbia is dedicated to […]

Même si une forte croissance de la production laitière caprine au Canada est observée au cours des 20 dernières années, la productivité des fermes laitières caprines dépend de plusieurs facteurs liés à la génétique et à la régie de troupeau. La nutrition des chevrettes laitières et des méthodes d’élevage des chevrettes ont été identifiées comme […]

Tissue engineering works to replace damaged tissue and organs, and has applications in treating diseases such as diabetes. To improve the performance of tissue engineering treatment and research, our lab has produced the microwell system which creates microtissues in the form of cellular balls. The microwell system has been used used internationally under the brand […]

The interns in this project will help to develop a sensor system capable of measuring the aerodynamic forces on a bicyclist. The measurement will be done in real-time; i.e. the rider will be able to see as they ride down the road how changes in their position or equipment affect their drag, and hence be […]

This project addresses two specific challenges related to promotional planning in the consumer-packaged goods sector. The first output will be to develop and evaluate models that statistically predict the impact of Unilever promotions on category and product share across different retailers. This effort will lead to the creation of trade promotion optimization techniques that enables […]

Machine learning approaches are transforming fields such as finance, healthcare, electronic commerce, social networks, and natural disaster forecasting. We propose collaborative research that develops novel methods and applications of machine learning techniques for event prediction, modeling relations between entities, and inference techniques that can impact these domains. In the context of event prediction, we will […]

The recent advances in machine learning based on deep neural networks, coupled with the availability of phenomenal storage capacity, are transforming the industrial landscape. However, these novel machine learning approaches are known to be data hungry, as they need to tune a huge number of parameters in order to perform well. As more and more […]

Discontinuities of service, variations in voltage magnitude, and distortions in AC voltage waveforms constitute the different aspects poor power quality. A poor quality of power supply can cause malfunction of sensitive equipment and interrupt industrial processes, resulting in significant economic losses. Utilities and consumers are taking actions to maintain the power quality set by the […]

We seek to replace or enhance the traditional underwriting approach (namely identification of insureds via a pre-defined fixed set of risk criteria) with one based on a set of dynamic protocols that are responsive to human behavioral factors for continual health improvement. We seek to provide a live and interactive in-market research dataset that can […]

Despite a rapid decline of electricity costs, there is still demand for energy-dense liquid fuels, such as in heavy freight and air transportation. Liquid fuels can be synthesized from a mixture of carbon monoxide and hydrogen called synthesis gas (syngas). However, this process requires high temperatures and pressures, and is itself responsible for significant greenhouse […]