It is estimated that 5.4 million Canadian adults have chronic sleep abnormalities. Symptoms are not visible to patients because they happen during the night. Hence, they remain undiagnosed. Besides, sleep abnormalities can cause different chronic health problems, that is sleep apnea, diabetes, stroke, brain injury, Parkinson’s disease, depression, and Alzheimer’s disease. Thus, measuring sleep behavior […]

Knowledge of the geographic distribution and identification of species is essential for the conservation of biodiversity. With advances in technology and greater accessibility of equipment capable of recording underwater, it was possible to obtain data efficiently. However, it leads to an immense volume of information collected, which requires exhaustive manual processing that requires label, time […]

The development of scalable quantum computers threatens the secrecy of communication by breaking classical encryption schemes. In order to ensure long-term security in communication networks quantum-safe cryptography is currently being developed and evaluated in standardization competitions. A special property of many of the proposed cryptosystems is a low but non-zero probability of failure: An encrypted […]

Deep learning has unlocked new paths towards the emulation of the peculiarly-human capability of learning from examples. While this kind of bottom-up learning works well for tasks such as image classification or object detection, it is not as effective when it comes to natural language processing. Communication is much more than learning a sequence of […]

Modern Industrial Control Systems (ICS) are increasingly getting connected to the Internet to facilitate operations. To ensure safety on the internet, the ICS communications are being encrypted. This poses a challenge for the traditional Intrusion Detection Systems that used to rely on visible messages and control data communication for detecting the presence of known attacks […]

e-Questionnaire system is a cross-platform and client-server interactive mobile application. The partner company can apply this single project on different platforms of mobile devices, such as Android, IOS, Blackberry and so on. In this project, the main scenario is that students use their smartphones and tablets to download and store questionnaires from remote server into […]

Computer vision researchers have been moving beyond simple image classification and tackling more complex tasks such as object localization, detection and semantic segmentation. However, many of the proposed methods require large amounts of annotated data such as segmentation masks, which are expensive and time-consuming to acquire. Moreover, those methods cannot segment new object categories which […]

In the current era of big data, huge volumes of a wide variety of data are generated and collected at a rapid rate. Embedded in these big data is implicit, previously unknown and potentially useful knowledge and information. This calls for data science—which use techniques like data mining, machine learning, etc.—for social good. With popularity […]

Major Depression Disorder (MDD) is a big problem in our society. About 8% of Canadians may suffer from depressions in their life. Major depression can cause suicide and take families apart. Canadian governments spend more than $51 billion a year in the mental health sector. When treatment with medications fail, mental healthcare professionals, use Electroconvulsive […]

PledgX is interested in building a solution that aims to optimize the bidding process to maximize key performance indicators for contactors and vendors. For bidding optimization, several strategies and methods have been proposed; however, with the massive amount of available bidding datasets, the quality and performance of such methods are questionable. Machine learning introduces intelligent […]

The intent of this project is to provide the policy and guidelines in support of the Districts Open Data program. The Open Data Guidelines and Policy will provide a framework for data governance across the organization, in order to improve access to and use of data to empower community decision making. Our objective is to […]

This project will identify an optimal technology roadmap and integrated software engineering process for a new line of building heating, ventilation, and air conditioning (HVAC) control system elements being developed by Greystone Energy Systems. The COVID-19 necessitates advances in HVAC and maintaining high indoor air quality standards. This trend highlights the need for HVAC systems […]