Modeling the phenotypic effects of neuromodulatory agents on human neuronal cells using cerebral organoids

Emerging therapeutic agents that function through the brain’s neurotransmitter systems have recently shown robust benefits in a number of otherwise challenging to treat neurological conditions including depression and post-traumatic stress disorder. The long-term changes that these agents induce within neural tissue is still however unclear. This MITSCS program aims to to use expertise in tissue […]

Read More
Redesigning the organization of the future: an investigation and experimentation of new impact-driven business and operational models.

Groundswell, a Toronto-based design consultancy, is seeking to understand, study and experiment with new non-hierarchical organization structures. In partnership with UofT’s Business Design Initiative research team, they will investigate and experiment with the redesign of for-purpose and value-driven organizations to better respond to today’s economic climate described as volatile, uncertain, complex and ambiguous or VUCA. […]

Read More
Developing genomic and transcriptomic tools for analysis of cannabinoid producing yeast strains

The therapeutic potential of cannabinoids is well established. The study of these molecules is primarily based on their availability from the cannabis plant (Cannabis sativa). In addition to common cannabinoids, there are dozens of rare cannabinoids produced in C. sativa with potential therapeutic benefits that cannot be fully evaluated because of their scarcity. Thus, there […]

Read More
Sensorless Control of Brushless DC Motors at Low Speeds

Accelerated Systems is a leader in the design and implementation of control systems for electric vehicles; especially vehicles driven by permanent-magnet brushless DC (BLDC) motors. One of the key technological challenges in the use of BLDC motors is that traditional control, especially at low speeds, requires external sensors to determine the rotor position. These external […]

Read More
Scalability of an Autonomous Trading Platform

This project will build on the work previously completed in the MITACS project done by Dr. Michael Bauer, Omid Mola and Cyborg Trading Systems (CTS) – Integration of an Autonomous Trading Platform. The previous project formed the foundation of developing an autonomic system in an algorithmic trading application. The initial project was successful in determining […]

Read More
Development of a Fatigue Prediction Model for FiberReinforced Polymer Matrix Composite ComponentsExposed to Elevated Temperatures

The use of composite materials for high temperature aerospace applications requires new studies in order to better understand the behaviour of these novel materials, and to generate appropriate design tools. The main goals of this project are to develop a set of numerical tools that will be used to predict the fatigue behaviour of advanced […]

Read More
Characterization of powder materials for additive manufacturing (3D printing ability) using machine learning methods

Metal additive manufacturing (AM), also known as 3D Printing, is a technology that produces three-dimensional metallic parts layer by layer as opposed to conventional subtractive techniques. The qualities of 3D parts are significantly influenced by the characteristics of the feedstock materials, which depend on the manufacturing processes and also vary between batches. Powder pack density […]

Read More
A novel analgesic in a surgical model of osteoarthritis

Osteoarthritis is the most common form of joint disease affecting over 80% of the human population above 75 years old and burdening health organizations worldwide. Osteoarthritis is characterized by progressive joint degeneration resulting in chronic pain and loss of joint function. Currently there is no cure for osteoarthritis; available treatments are only symptomatic targeting pain […]

Read More
Passive Airborne Sensor Platform

In disaster scenarios involving airborne contaminants, where the dispersal of toxic agents can impact human lives, first responders require fast and accurate dispersal trajectory information. Existing methods that detect the local presence of an agent do not provide insight towards dispersal trajectory, and long range spread is either simulated with sparse reference data or measured […]

Read More
Point-of-Need Microfluidic Biosensor for Detecting Airborne Viruses using Molecularly Imprinted Polymers: Towards COVID 19 Virus Monitoring

This project is a partnership between York University and Sixth Wave Innovation Inc. (SIXW). The goal of this partnership is to develop components of a portable and low-cost technology for rapid and on-site air sampling and detection of aerosol viruses in indoor and outdoor environments. Virus capturing will be done by Molecularly Imprinted Polymers (MIPs) […]

Read More
Efficacy and feasibility of online cognitive training platforms for older adults with subjective cognitive complaints: A randomized controlled trial

With an aging population on the rise, the prevalence of cognitive decline is expected to increase substantially. Goal Management Training® (GMT) and the Memory and Aging Program® (MAP) are cognitive interventions that have been studied extensively and applied clinically to address these needs. Although previous research has demonstrated efficacy of the in-person versions of both […]

Read More
Random bin picking with industrial robot

Materials with different sizes, shapes, or materials come into the process every day, they need to be sorted, placed, and usually fed into a machine for processing. Traditionally, this task is very hard to be automated because of the non-fixed position of the part and frequent part changes. For this random bin picking project, we […]

Read More