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 […]

The project’s aim is to develop a comprehensive technological platform for the fabrication of GaN-based electronics devices for applications in telecommunications and power generating and management systems. As of this date, the progress relative to this technology has been excellent and sustained. Our team has now established the most advanced fabrication expertise for GaN-based devices […]

Cancer will affect 2 in every 5 Canadians in their lifetime, with just over 25% representing new breast cancer diagnoses in women. Despite significant progress in the treatment of the most common cancer in women, resistance to chemotherapeutic agents remains a consistent obstacle in terms of the successful treatment of many types of breast cancers. […]

L’objet de cette recherche est de mieux comprendre l’utilité des expériences virtuelles, ici la réalité augmentée et la visualisation 3D, dans le cadre de la promotion de produits industriels personnalisables. En effet, l’utilisation de ces outils par les entreprises offrent de nombreux avantages, y compris dans le cadre de la personnalisation de masse, tendance essentielle […]

The goal of this project is to design and develop a wireless network testbed at the University of British Columbia (UBC) for Rogers Communications Canada Inc. to support different use cases for the fifth generation (5G) wireless networks. We will study the concept of self-organizing network (SON) and design a deep learning-based algorithm for our […]

Artificial Intelligence techniques have been widely applied to solve real-world challenges, from autonomous driving cars, to detecting diseases. With the popularity of 5G wireless network, more and more AI systems are being developed to provide convenient services to everyone. It is important to ensure the reliability and quality of AI systems from every phase in […]