Bladder cancer is the fifth most common form of cancer in Canada, however progress in the development of safer and more effective therapies has been slow. The use of antibody drug conjugates (ADC) is a promising therapeutic option that would allow for targeted killing of cancer cells, if the obstacle of getting the drug inside […]

Bladder cancer is the fifth most common form of cancer in Canada, however progress in the development of safer and more effective therapies has been slow. The use of antibody drug conjugates (ADC) is a promising therapeutic option that would allow for targeted killing of cancer cells, if the obstacle of getting the drug inside […]

Hydrogen powered polymer electrolyte membrane fuel cells (PEMFCs) are a clean energy technology that generates electricity without harmful emissions at the point of use. Current R&D efforts mainly target to commercialize PEMFCs through cost reduction and durability enhancement. The lifetime of PEMFC is limited by the degradation and failure of the polymer electrolyte membrane (PEM). […]

Hydrogen powered polymer electrolyte membrane fuel cells (PEMFCs) are a clean energy technology that generates electricity without harmful emissions at the point of use. Current R&D efforts mainly target to commercialize PEMFCs through cost reduction and durability enhancement. The lifetime of PEMFC is limited by the degradation and failure of the polymer electrolyte membrane (PEM). […]

Liquefied natural gas (LNG) has up to 20% CO2 and 90% NOx fewer emissions than diesel; making it a cleaner alternative fuel for mobile applications. LNG has high volumetric energy density and is cost effective ($0.5 cheaper than diesel gallon equivalent). However, LNG is stored at low temperatures (-162ºC) and releases boil-off gas that contributes […]

Liquefied natural gas (LNG) has up to 20% CO2 and 90% NOx fewer emissions than diesel; making it a cleaner alternative fuel for mobile applications. LNG has high volumetric energy density and is cost effective ($0.5 cheaper than diesel gallon equivalent). However, LNG is stored at low temperatures (-162ºC) and releases boil-off gas that contributes […]

There is a strong push toward producing fuel cells on a commercial scale. This means a greater focus on production speed and yields with a need to understand the unintended features that arise from larger-scale manufacturing processes. This project requires the set up of state-of-the-art, camera-vision, defect detection equipment to find and collect observed membrane […]

There is a strong push toward producing fuel cells on a commercial scale. This means a greater focus on production speed and yields with a need to understand the unintended features that arise from larger-scale manufacturing processes. This project requires the set up of state-of-the-art, camera-vision, defect detection equipment to find and collect observed membrane […]

(CEE) is a unique, interactive and visually compelling web-resource to build capacity of citizens, decision-makers, and local government staff on community energy and related land use issues. The objective of this 2-year project is to improve, expand and launch a public version of CEE in the Metro Vancouver region, and initiate a process to foster […]

While GPS has become the de-facto standard for positioning, its availability and accuracy are hindered by attenuations. Positioning using vision-based systems is becoming an attractive solution due to its infrastructure-less architecture and its wide integration into portable devices. This work aims to develop novel vision-based algorithms for head-mounted sensors that would solve various problems such […]

Recent advancement in computer vision and sensing technology has shown great potential for autonomous vehicles. This work aims to studies using an Augmented Reality heads-up display to improve the reliability of Advanced Driver Assistance Systems (ADAS). The algorithms developed will help drivers detect obstacles e.g. pedestrians crossings, improve current lane departure warnings to allow a […]

We will build a prototype system that can be used to give a personalized recommendation for the ideal fitness/weight loss regimen for a consumer given their personal health record data. This will be based on building a relational probabilistic model that is based on standard medical ontologies, initially on expert knowledge, and can make predictions […]