Retinal diseases are the leading causes of blindness in Canada. Retinal diseases are currently treated by monthly or bimonthly intraocular injections of biologics. At the Sheardown lab, we are developing a new injectable hydrogel that can provide prolonged treatment for retinal diseases. Upon injection, the new treatment forms a transparent solid depot inside the eye […]

A sailor needs to obtain real-time information about the status of the sailboat and also derive an accurate approximation of the behaviour of the surrounding environment, in order to safely and successfully sail a boat. We also aim to investigate how providing vital knowledge using an immersive approach will affect the cognitive load on the […]

Nowadays, the wire arc additive manufacturing is making its path toward providing benefits to aerospace, defense, and oil and gas sectors, ascribed to the process capacity to fabricate components with minimum waste of material and lead time. However, the main challenges associated with the WAAM that have hindered the wide-spread application of the technology include […]

Solid-state nanopores are tiny holes in thin membranes comparable to the size of individual biomolecules like protein or DNA. They are using as sensors to detect these molecules one at a time, and have the potential to revolutionize DNA sequencing, personalized medicine, point-of-care diagnostics, and next-generation information storage methods, but have not been able to […]

Attention is an important part of everyday functioning. We use it to interact with the world around us and take in new information. ‘AttentionTrip’ is a sophisticated tool that allows clinicians and researchers to measure the different components of attention, while it feels like you are playing a videogame. With this tool, we can see […]

Newly developed additive manufacturing (AM) techniques, also known as 3D-printing, are able to fabricate complex geometry components at a relatively high deposition rate, the lowest possible number of production cycles, and minimum materials waste in contrast with the conventional subtractive fabrication techniques. By drastic reduction in the fabrication time and production steps, minimizing the on-hold […]

The present project proposes a new type of antioxidant drug as a way to reduce genetically the probability of appearance of degenerative diseases, e.g. different cancers, Alzheimer’s disease and Atherosclerosis. The general idea is to combine two different types of compounds with antioxidant properties: nanomaterials and certain molecules extracted from a cuban plant with the […]

This project aims at developing an innovative technology through the utilization of fish waste as substrates for biosurfactant production. Through the proposed approach, fish waste will be recovered into fishery peptone and being used as a nutrient substrate for the synthesis of biosurfactant products with promising market values. The outcomes of this project will directly […]

To date, there is a growing attention to the use of plant-food bioactives in disease prevention. Anthocyanin, a colorful plant pigment extracted from purple and blue color fruits and vegetables has been investigated broadly for its cancer preventive and immunity boosting properties. However, anthocyanin degrade during the conventional food processing conditions such as exposure to […]

Under the Lab2Market Program, the intern will develop and test a field notes tool called STRATUM to alleviate stresses caused by documentation in the field. The tool development will be guided by the results of three studies: 1) a qualitative investigation of user needs and sources of stress (already underway); 2) a preliminary survey of […]

Petroleum contamination in soil and groundwater caused by the leakage of underground storage tank is one of the most frequently occurred incidents in North America. The cost of remediation can be significantly increased if the contamination was not treated in time or the site is far away from the waste management facility. a mobile soil-flushing […]

The main purpose of this project is to develop the methodology to detect and predict driver drowsiness at the early stages using physical and physiological variables. A feasibility test is conducted to evaluate the accuracy and performance of the proposed methodology. The existing databases are leveraged to extract the required data. Signal processing, image processing, […]