1 in 5 people suffer from a mental illness, such as depression, Alzheimer’s & Parkinon’s during their lifetime. Currently, there are no treatments for these diseases, because the underlying causes of these diseases is not known. Neurescence has developed a technology that is essential for understanding how local and long-range neuronal circuits form to create […]

Medulloblastoma (MB) is the most common childhood brain cancer. Current treatment for these tumors is invasive involving irradiation of the entire brain and spine. Although some types of MB respond well, others have an abysmal prognosis, and the lack of less invasive therapies means that children undergoing treatment suffer from severe developmental defects and reduced […]

The mental well-being of youth is critical at a personal, familial, and societal level. The rise of mental illness, addictions, and suicide in youth, especially among those living in low- and middle-income countries, is of significant concern. Our global health team at the University of Toronto and Centre for Addiction and Mental Health (CAMH) has […]

Thin-film piezoelectric-layered polymer composites have shown a great potential for different applications such as micro-electro-mechanical systems (MEMS), mechanical energy harvesters, and security devices. This research proposes a comprehensive modeling and experimental characterization for understanding the electro-mechanical behavior of thin-film and flexible piezoelectric-layered polymeric structures under various mechanical loadings. The first phase of this project focuses […]

Our research goals, which are a mix of theoretical and practical problems, are motivated by the practical near-term problem of delegating tasks to an untrusted remote quantum computer in a secure way. Toward this, we consider the notions of indistinguishability obfuscation for quantum circuits and quantum fully homomorphic encryption schemes. The former refers to algorithms […]

This study will validate the accuracy of a new artificial intelligence (AI) powered application, which has been developed to track communication and cognition during the babbling stages of development in the first year of life. Once validated, this app will be an asset to both parents and clinicians. It will be used by parents and […]

Substance use significantly impacts the health and health care of many people living with HIV/AIDS (PLHIV), especially those dealing with additional medical, psychosocial, and economic complications. The need for comprehensive care for this population is particularly important given the current opioid overdose crisis in Canada. In response, harm reduction (HR) services (e.g., supervised injection, naloxone […]

Vehicle scheduling is one of the main planning problems for transit agencies. While it is relatively simple to solve in the deterministic and single-depot setting, these assumptions are unrealistic in real-world applications. Specifically, ignoring major sources of uncertainty (such as travel times) and making decisions over average predictions can lead to inferior schedules that incur […]

Vibration of aircraft engine is the major contribution to the structure vibration in an aircraft. To reduce the cabin noise and improve the comfortability for air passenger, research design and analysis are desired in the engine technology. A critical component in eliminating the vibration in an aero engine is the squeeze film damper (SFD). Current […]

COVID-19 pandemic has brought the world to standstill with more than 55 million people infected to-date and more than 1.34 million mortality so far. It has literally brought the health care systems in many countries to the breaking point, if not beyond. The economic consequences have been devastating with millions of people out of work. […]

This project investigates the possible use of the oxygen coproduct from electrolytic hydrogen production, as a feed to produce ozone for disinfection purposes. The shift to a hydrogen economy will see a significant increase in the amount of oxygen produced, and currently, this oxygen has no use. It is possible to capture the oxygen, and […]

Hospitals strive to perform cutting edge medical treatment, treat all patients fairly, and reduce operating costs, while also enabling caregivers to spend more time interacting with patients. Artificial intelligence and machine learning promise these things. However, medical data provides unique challenges for machine learning. Currently, if a hospital wants to include an algorithm for automated […]