Multidisciplinary automated design-optimization (MDO) is a rapidly growing field of interest in sectors as diverse as architecture, engineering, science, and more. Often the computational cost of doing such optimization can be staggeringly high, requiring hundreds of computers connected through high-performance networks with complex custom designed software to support it. To address these problems, we propose […]

This project will investigate machine learning methods to organize and discover the vast literature on biomedical science. First, it will focus on named entity recognition–the task of finding and classifying entities in text documents–on large collections of abstracts and full-text of research papers and investigate semi-supervised learning methods to leverage large collections of unlabeled research […]

In 2007, ParticipACTION was relaunched in Canada with the goal of inspiring and supporting active living and sport participation for Canadians. The focus of ParticipACTION is on social marketing initiatives The objective of the proposed internship is to take advantage of data collected through internal evaluations commissioned by ParticipACTION of two national campaigns – Teen […]

Encycle Therapeutics is a Toronto-based company that develops new therapeutics for the treatment of autoimmune diseases. Our competitive edge derives from a platform technology that allows for the more efficient synthesis of macrocycle- (ringlike peptides) based therapeutics. This platform involves a proprietary reagent called aziridine aldehyde. This new technique has demonstrated significant potential for the […]

The project objective is to design and manufacture ultrasonic sensors capable of operating at temperatures up to 800 oC. Such transducers can be affixed to hot piping systems and pressure vessels in petrochemical plants, electrical power generating stations, and manufacturing plants. These sensors can then provide continuous information to the plant operator regarding the onset […]

Master of Forest Conservation Candidates from the Faculty of Forestry at the University of Toronto will partake in the research and development of biochar in Haliburton Forest and Wildlife Reserve Ltd. Studies will provide a greater basis for certification and standardization of the product for use in forest systems and operations in Haliburton Forest, as […]

Epileptic patients have a long term risk of recurrent seizures and the mainstay of treatment for controlling seizures is antiepileptic drugs. Management of epileptic emergencies usually requires hospitalization and the administration of intravenous (i.v.) anticonvulsant drugs. Lorazepam i.v. is the most effective treatment of status epilepticus, and therefore is routinely used in hospital emergency departments. […]

This project will determine if underground detention systems provide an equivalent level of service for stormwater treatment as stormwater management ponds. This will be achieved through water quality measurements collected from a StormTrap system and through the development of a pollutant-transfer model. The intern will work with both the Toronto Region Conservation Authority and Con […]

Teaching medical students and allied healthcare professionals accurate and patient friendly diagnosis of ear, eye and nasal conditions are challenging tasks due to the lack of realistic models and interaction with patients. The OONTTDP is a collaboration between the Hospital for Sick Children and Otosim to improve the teaching results through development of realistic simulators […]

We aim to optimize advanced Computed Tomography (CT) imaging to provide non-invasive and accurate assessment of early lung fibrosis. Lung fibrosis causes inflammation and scarring of lung tissue and can be progressive, even fatal. Currently, detection of lung fibrosis relies on relatively insensitive tests, such as pulmonary function tests and static lung CT. Alternately, microscopic […]

Society uses thousands of chemicals and the potential risks to humans and the environment for the vast majority of these chemicals are largely unknown. It is not feasible to measure all of the chemicals and there are substantial data gaps; therefore, models are required to screen and evaluate chemicals for potential exposures and risks to […]

None given.