Automatic Seizure Detection, Prediction, and Mitigation Using Minimally Invasive Implantable Bioelectrical Sensors

Epilepsy affects 65 million people globally, with 30% unable to control their seizures with medication.Implantable devices that control brain activity via electrical stimulation are an alternative treatment option;however, existing FDA-approved devices only render 13% of patients seizure-free for up to a year.NerveX Neurotechnologies has developed ANIMO (Adaptive Neural Implant for Modulation and Observation), which solves the key problems causing limited efficacy in existing solutions.

Efficient Multi-frame Obstruction Removal

Modern mobile phones have become the dominant photography device in recent years. However, their users are often not professional photographers. Thus, they lack the skills of choosing proper lighting, proper shot framing, and proper settings on the camera. In particular, photographs are often taken in unfavourable conditions where the scene of interest is obstructed by a fence or a window. We would like to remove such obstruction automatically. Capturing scenes from multiple viewpoints, not only helps to identify the obstruction better, but also helps in removing it.

Regulation of granulosa cell autophagy and estradiol production by microRNA in the pig ovary

Fertility improvement is important in both human being and livestock industry. Increasing the oocyte competence is one of the most critical measures for fertility improvement. miRNAs are small non-coding RNAs which can regulate the estrogen production in the ovarian follicles which in turn affecting the oocyte development and competence. However, its underlying mechanism remains unknown.

Reformulation of Electrochemical Sensors for Trace Dissolved Oxygen Monitoring

Electrochemical sensors for monitoring dissolved oxygen levels are commonplace in industrial, researchand regulatory labs. The industrial partner?s commercialized device is capable of real-time monitoring ofO2 at parts-per-billion levels but is interested in reformulating the electrode materials to remove heavymetals, thereby minimizing negative environmental impact and ensuring sustainability of the technology.This project will measure and document the characteristics of candidates to replace the heavy metals inthe electrodes while ensuring continued operation at necessary.

Alloy development and process optimization for extrusion-based metal additive manufacturing

Additive manufacturing (AM, also referred to as metal 3D printing) promises to revolutionize the manufacturing sector by allowing custom parts to be printed on demand. Despite manufacturing accounting for 10% of Canada’s GDP, less than 5% of Canadian companies use AM. Among the limiting factors to the adoption of this technology are a lack of printable materials, poor part quality, and lack of skilled workers with the knowledge to take advantage of AM.

Developing sustainable GFRC cladding panels for resilient buildings

Glass fiber reinforced concrete (GFRC) panels are a lightweight cladding panels primarily used as fascia panels in building structures. Concrete when reinforced with fibers is often presented as an environmental improvement on typical concrete. In the wake of the rapidly emerging climate change emergency and to help improve resiliency in our residential buildings, the National Research Council, Canada has introduced guidelines in the National Building Code (2025) for climate-resilient construction to withstand extreme weather events.

Vision-based 3D object localization for manufacturing applications

The industrial scale manufacturing automation largely works because of robotic systems which are preprogrammed to reliably carry out the same sequence of steps over and over again. As a result, when scenarios change, or become more complex, robotic systems need to be re-programmed. Moreover, in high value added manufacturing applications, it is impractical to program every single motion of a robot manually. The project aims to develop fully autonomous robotic manufacturing and inspection systems that do not require extensive programming by end-users.

Investigating Cannflavins A and B as Inhibitors of TrkB Signaling for Treatment of Glioblastoma Multiforme

Glioblastoma is the most common type of adult brain cancer. Glioblastoma tumors are very aggressive because these cells can rapidly invade deep into healthy tissue, which makes them particularly difficult to attack with current treatment options including surgery, radiotherapy, and chemotherapy.

Generating and Characterizing Subtype Specific Versions of Oligodendrogenic Neural Progenitor Cells for the Treatment of Spinal Cord Injury

Spinal cord injury (SCI) leads to devastating sensory and motor impairments which severely diminish quality of life and currently have no cure. Although different cell therapies have been tested for SCI, many have been transplanted in a “one size fits all” approach and have insufficiently addressed patients’ diverse injuries. As such, many pre-clinical efforts have failed to be translated to a clinical setting. In the present study, we aim to generate and characterize three distinct versions of cells in order to promote patient-specific treatment of SCI.

Process Design for Cogeneration of Carbon Black and Hydrogen by Methane Pyrolysis

Carbon black (CB), a valuable commodity for rubber and plastic industries, is currently produced using the traditional processes with low conversion efficiency and high carbon dioxide emission. Plasma reactors, on the other hand, produce CB and hydrogen from decomposition of methane with no direct emissions and can achieve 100% conversion efficiency. Commercializing this process requires accurate control over CB morphology and process yield, which depends on the particle dynamics and the chemical reactions during the decomposition of methane.

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