Greenfield Global is currently developing a conversion process to produce jet fuel from renewable feedstocks. Collection and densification of different biomass waste materials and municipal waste at satellite facilities to produce bio-oils, which are then processed at a central facility, is expected. The first processing step at the central facility is supercritical water gasification and […]

We all know someone who looks or functions like someone who is much younger than their actual age (or vice versa). Why is this? Whether our bodies age faster or slower than expected can be explained by lifestyle choices (e.g. adopting a healthy or unhealthy diet), environmental exposures (e.g. stress or exposure to pollution or […]

Greenfield Global is developing a process to produce jet fuel from renewable materials, such as waste biomass and organic municipal waste. The renewable materials are first converted to a synthetic oil and then converted into jet fuel. This project deals with the final step in the process, namely, to convert the synthetic oil to jet […]

The most energy intensive component of mineral processing is comminution (crushing and grinding), consuming, on average, about 50% of the total electric energy of a mine site . To optimize and thereby improve the energy performance, accurate measurement of the ore hardness is critical. The proposed study is aimed at developing a new test apparatus […]

Confocal microscopy is a specialized imaging technique that is used by universities and pharmaceutical companies to perform drug discovery. The research team developed a multiplexing technique that can improve the imaging speed by 1000 times. In this project, the team will develop customized versions of the instrument with different cameras to cater to specific customer […]

The project will employ three undergraduate coop students and one post-doctoral fellow to work with the MesoMat team to improve the sensing capabilities of the fiber technology that has been developed at MesoMat and develop robust production methods. MesoMat has developed a fiber-based sensor manufactured from plastics and nanoparticles. These materials change their resistance when […]

Across many occupational settings, workers who are injured on the job receive a percentage of their lost earnings as they recover during the time they are unable to work. At the time of injury, trained professionals assign each of these injured workers an expected return date based on the severity of their injury. Currently, case […]

Citizen Advocacy Ottawa (CAO) is a non-profit organization supporting families with children impacted by Neurodevelopmental Disorders such as Autism Spectrum Disorder, Fetal Alcohol Spectrum Disorder. The COVID-19 pandemic has brought many challenges to families already strained by the complexity of caregiving for these children. Many issues have been identified such as caregiver burnout, social isolation, […]

Social distancing due to COVID-19 has meant that older adults have not been as able to see their doctors. Older adults have chronic conditions, such as diabetes, that can flare up and cause emergencies. So, finding older adults who are unwell is very important. Community support services, such as those providing meals-on-wheels, are available to […]

Many typical transit operating costs are lumpy and expensive; the addition of an extra bus on a route at rush hour can cost up to a million dollars over the course of the year. At the same time, an extra bus is sometimes added to satisfy demand for a relatively small number of transit users. […]

Fourien Inc. is developing a diagnostic medical instrument for rapid and low-cost detection of COVID-19 virus using saliva samples from early-stage infections. The custom-built vibrometer instrument will use micro-sensors to detect the RNA of the virus. There is a need to develop optimized and sensitive modules of optics, electronics and mechanics that are critical for […]

The project objective is to develop a method for measuring public opinion using social media data. Presently the ability to derive externally valid inferences from social media data is impeded by issues such as sample bias and data structure. By applying recent innovations in machine learning to account for such issues, this project aims to […]