The proposed production optimizer uses production (rate, water/oil ratio, pressure) data, in either isolation or with geological data, and artificial intelligence to determine limiting factors in wells and fields. More specifically, the proposed production optimizer determines Original Oil in Place (OOIP), average permeability, permeability distribution, and relative permeability for wells and, by extension, reservoirs. This […]

An artificial intelligence tool that is capable of generating natural-sounding speech can be embedded into many valuable services such as conversational agents for the disabled and conversational assistants. Such tool, when equipped with the capability of mimicking individuals’ vocal characteristics, will improve personalization of these services. In this project the intern will seek to develop […]

This research is based on the recognition that heat pump technology has the potential to reduce greenhouse gas (GHG) emissions and reliance on fossil fuels, while providing space heating, space cooling and domestic hot water. Both internationally and in the Ontario context, a lack of industry knowledge and capacity has been noted to be a […]

In today’s fast-paced, technologically-driven world, it is of paramount importance that we take advantage of different ways to solve problems, to generate the most efficient solutions. One way to accomplish this goal is to adopt different ways of thinking about how we solve problems. It may be of great value to base problem-solving that we […]

The intra-operative errors that occurs in adverse events have been a major concern in healthcare and surgical industry. Conventionally, error-event assessment is done by peer surgeon review, which is time consuming and costly. With the advances in machine learning and computer vision techniques, it is possible to keep track of the operation surgical procedures based […]

In-vivo imaging provides a unique opportunity to examine complex cellular activity in live tissue. Images produced by these experiments are difficult to analyze manually, typically applied to mono-layer cell culture assays (i.e. cells in a dish). Recent advances in deep learning enable the opportunity to analyze these in-vivo tissue images with greater efficiency and accuracy. […]

Currently, some public and private organizations have implemented various identification verification solutions to manage identity authentication. The idea of using a third-party identity provider (IdP) to access a relying party (RP) is not new, and both RP and IdP have their benefits as they can only be connected once in a federated identity ecosystem.  While […]

Manual performance, configuration and fault management of Cloud Data Centers is vulnerable to human intervention and therefore subject to human errors. One way to circumvent this problem is to use automation of the Cloud Data Center operations based on advanced technologies which may include Machine Intelligence. As it is known in mobile industry applications/systems are […]

words) Alexithymia is a personality construct that represents a reduced ability to identify and describe feelings, a limited imagination, and externally oriented thinking.not classified as a mental disorder in the DSM-IV. Alexithymia raises special clinical issues: 1) it is known to be a trait and distributed across the general population where prevalence is 8-10% (Karukivi, […]

The catalytic CO2 reforming process provides a sequestration alternative that holds promise for a viable solution for dealing with industrial gaseous effluents containing greenhouse gases CH4 and CO2. The process converts these gases to syngas (CO and H2) which can be used for synthesis for high value chemicals. The catalyst for the dry reforming process […]

There has been an increasing focus in the health and disabilities research field on knowledge translation – that is, to ensure that emerging research can be effectively integrated into health and social service policies and into service delivery. Studies on the development of policy and services demonstrate that many factors apart from academic research evidence […]

The fellowship mainly investigates an analysis of the state-of-the-art approaches, design and implementation of cutting-edge deep neural network models to be used on a mobile platform. It explored ways to optimize the deployment of these machine-learning models for prediction tasks on the mobile devices which requires energy efficiency and accuracy.