Large network operators have to deal with dynamic network service changes, including scheduled or unscheduled outages, while keeping efficient service levels with different requirements. Currently available restoration techniques remain limited to after the fact detection of hard or catastrophic failures when the service has already been impacted. Machine learning technologies have been explored as a […]

The implementation of data structures usually requires checking for certain mathematical properties such as equality. Those properties are usually implemented in methods that reason about the objects stored in these data structures. However, the implementation of such methods is fairly complex, and may exhibit software bugs that may not necessarily lead to program crashes. Therefore, […]

This project will develop the enabling technologies for next generation infrared sensors. Although infrared imaging was historically developed for military applications, the biggest opportunities for growth are in commercial markets. Infrared imaging is recognized as an important green technology because of its numerous applications in environmental monitoring, thermography, process control, and inspection and maintenance of […]

Over the past few decades, mental disorders (e.g., depressive and anxiety) have become a significant medical burden for people of all ages. According to the survey performed by the World Health Organization (WHO), at least one out of ten people in the world suffers from mental health diseases (i.e., mental disorders, neurological disorders and addition). […]

In the proposed project, we will develop a key piece of technology that will significantly improve interactive simulations of scenarios involving complex multi-body contact. For instance, the simUlation of human or robotic hand grasping of an object involves complicated chains of compliant joints combined with distributed contacts. Multi-legged robots and vehicles in general are similar. […]

As the 5G Network will be capable of being reconfigured and optimized on-the-fly, they will also be more automated, requiring less manual effort to provision resources and make the most efficient use of bandwidth. The Ciena Analytics as a Service is a suite of tools to assist network operator in pro-active discovery on their network […]

Privacy and Security are key considerations in any machine learning system. The proposed research will develop net methods for preserving privacy when training data and/or model parameters are released in the public domain. We will use methods from information theory to develop quantitative measures for privacy and security in machine learning systems. Using this framework […]

The proposed research project will improve CM Labs’ operator training simulators with animated human characters that interact and respond to the underlying physical simulation. This will relay important dynamical cues to the trainee about the safety and correctness of the procedures. Furthermore, the developed animation controllers will allow objects to be manipulated in a realistic […]

.Siemens Canada develops land-based gas turbine engines that are used for power generation. These engines burn natural gas and produce combustion pollutants such as carbon monoxide and nitrogen oxides. Reducing emission of these pollutants addition of low carbon fuel, such as hydrogen, to natural gas. However, addition of hydrogen leads to occurrence of combustion instabilities […]

The project revolves around automation in nursery farms and greenhouses. The goal is to deliver planted pots using autonomous unmanned systems. Planted pots will be loaded/unloaded to/from plant carts using a small robot called BigTop, designed and developed at the supporting organization, AIS. Motion planning, control, and navigation algorithms will be developed through this project […]

It is expected that a complete deployment of Connected and Automated Vehicles (CAVs) onto a transportation network will take a long transition period and, therefore, reliable and accurate modeling of mixed traffic networks that include both conventional vehicles (ConVs) and CAVs is of paramount importance for the success of CAVs concept implementation. This project will […]

This research helps to automate ontology development in order to support semi-supervised and active learning chatbot as much as possible, so that the overhead of chatbot training that requires human supervision is minimized, while relevant knowledge management activities become more efficient. The research objectives are both to refine the quality of the chatbot interactions and […]