Learning from relational data is crucial for modeling the processes found in many application domains ranging from computational biology to social networks. In this project, we propose to work on developing new modeling techniques that combine the advantages of the approaches found in two fields of study: Machine Learning (through...

Climate change has been a top concern of Canadians for the past several years. Canada is among 3 top global CO2 emitters per capita. Our goal is to develop and commercialize a viable solar energy harvesting system to help Canada decarbonize its economy.
Amorphous silicon has the most mature...

Automatic detection and classification of the Auditory Brainstem Responses (ABR) is used in newborn hearing screening. Improved detection algorithms will reduce test time, prevent infants with hearing loss from being missed while reducing the number of normal hearing babies referred to diagnostic testing. We have already improved the objectivity of...

Surface enhanced Raman scattering (SERS) is emerging as a promising technique for rapid, ultrasensitive and highly specific (bio)chemical detection. SERS has been successfully used for the detection of minute quantities of illicit drugs, food contaminants, environmental pollutants, even bacteria and viruses. Unfortunately, like most other surface-based detection methods, SERS also...

Cannabidiol, is a non-intoxicating cannabinoid has anecdotal and preliminary evidence as a treatment for pain, anxiety, nausea and seizures. This project aims to identify the configuration of CBD when bound in the brain. We will use established computational techniques that have not been applied to CBD binding to calculate the...