Due to rapid development of technology, such as the Internet of Things, collecting data is easier and cheaper than ever before. As a result, municipal governments and urban centres across Canada are being inundated with data—data that have potential to improve public service. Despite this, local governments do not have enough data expertise to extract […]

Critical systems such as transportation systems require a high level of safety that can only be achieved with formal proof. Such formal proofs are typically expressed in some logic that can be verified by theorem provers. The diversity of theorem provers and logics has a negative consequence: the same theorem is proved many times and […]

In this project the intern will develop an intelligent virtual concierge and integrate it with Curatio’s social network platform. The intelligent concierge will learn about each user over time and act as a personal assistant of the user in using the social network platform.

With increasing security risks in critical network infrastructures and emerging cloud technologies with shared capabilities, as well as increasing regulatory requirements on privacy, and data protection, there is a growing need for new approaches to manage security and privacy compliance. The main related challenges are (a) context-aware and fine-grained security enabling efficient real-time enforcement of […]

Irwin’s Industrial Safety is a leading provider of safety consulting, safety training, and safety operations management. Over the last 4 years, Irwin’s Safety has compiled data on project safety and efficiency over a wide scope of projects. Moving forward, Irwin’s Safety seeks research into how this data can best be analyzed, visualized, and used to […]

2012 marked a pivotal milestone in the field of neural networks. The intersection of general purpose computing using Graphics Processing Units (GPUs), labelled big datasets, and very large neural networks (called deep neural networks) enabled a break-through in machine learning that has led to impressive results in many fields and applications, such as self-driving vehicles […]

In the telecommunications industry, many schemas exist to cap or limit bandwidth at certain levels for clients. However, there are no real options available to allow clients to intelligently utilize spare bandwidth above their committed purchase rates. We propose to design, implement and evaluate novel bandwidth allocation mechanisms for high speed networks like the Cybera […]

ROSS Intelligence enables legal professionals to find analyze legal issues and find hidden information and cuts down on research time by using artificial intelligence specialized in legal research. Recent advances in neural networks applied to natural language processing have brought results that are close to human performance in some tasks. However, this approach is still […]

For this project, a data mining, visualization, and modeling technique will be developed and tested specifically for emails, using publicly available datasets. The mining will consist of gathering email and other potentially related datasets and cleaning those datasets. Cleaning will consist of removing duplicate or unnecessary information, as well as labeling data with basic information […]

In recent years, face recognition algorithms based on deep neural networks have achieved human-level performance when tested on face recognition database. However, when put into real-world application, those algorithms are not robust enough, due to factors such as different lighting conditions, camera distance, and face orientations. In this project, the university team and the partner […]

Corporations are under a lot of scrutiny, especially when they annually release their financial reports to the government. If a corporation makes a mistake, or if an employee submits fraudulent information, or if it appears that either is the case, then they risk being asked to amend the filing by the government, which will cause […]

Real-time full-body tracking based on single or multiple commodity depth sensors are an integral part of many applications such as motion transfer in 3D games, 3D virtual and augmented reality, and human computer interaction. The proposed project directly derives from practical needs expressed by the partner organization, DreamCraft Attractions (Victoria) in developing fully immersive VR […]