D-Wave Systems develops and manufactures quantum annealing processors. These processors implement a model of quantum computation that seeks to solve hard problems by exploiting quantum effects such as tunneling and superposition. The aim of this project is to study and improve the performance of quantum annealing processors by mitigating inherent and implementation-dependent failure mechanisms for […]

This project develops a new project management method for software development targeting next-generation network providing unprecedented quality of cellular service to Canadians and small and medium businesses, stimulating innovations and improving the quality of life of our people. Relying on the ENCQOR infrastructure, which is the first 5G network in Canada supported by three governments […]

The aero-engine design process is highly iterative, multidisciplinary and complex in nature. The success of an engine depends on a carefully balanced design that best exploits the interactions between numerous traditional engineering disciplines such as aerodynamics and structures as well as lifecycle analysis of cost, manufacturability, serviceability and supportability. Pratt & Whitney Canada (P&WC) is […]

Generative models enable the researchers to address multiple problems spanning from noise removal to generating novel samples with properties of the domain. Generative models are commonly studied for images and in this project the idea will be expanded to 3D structures or volumes. Single-particle cryo-electron microscopy (cryo-EM) is a technique to estimate accurate 3D structures […]

Professors Erica Lehrer (Concordia University, Canada) and Roma Sendyka (Jagiellonian University, Krakow) have been engaged in ongoing research exploring how exhibition curating can serve as a mode of social and cultural research, and a form of applied cultural studies pedagogy. Lehrer and Sendyka are currently experimenting with exhibit approaches for recently discovered Polish folk art […]

Recent progress on word and sentence embeddings has enabled efficient representation and learning of complex high dimensional probability distributions over rich text data. The proposed research aims at addressing some of the fundamental questions in this field: What are the natural mathematical structures on that latent spaces? How to find a meaningful basis? What is […]

Advances in Whole Slide Imaging (WSI) and Machine Learning (ML) open new opportunities to create innovative solutions in healthcare and in particular digital pathology to increase efficiencies, reduce cost and most importantly improve patient care. This project envisions the creation of new automated ML tools including the design of a custom Convolution Neural Network (CNN) […]

In this project the human body movement and its balance will be studied, and artificial intelligence-based algorithms will be developed in order to detect the body movement and the posture in real-time. Specific camera technology will be utilized in order to gather required data of the human movement and the environment. The data will then […]

New Brunswick Power Corporation (NB power) is required to file a 10 Year Financial Plan to the EUB every year as part of the general rate application; and this plan must include a scenario analysis in order to demonstrate the potential effect on forecasted financial outcomes of reasonable variations in terms of some key factors/variables. […]

Climate change demands that governing institutions at every level of society define targets for ecological transition. The UN 2030 Sustainable Development Goals are one such agenda. Actually meeting those targets takes more than planning, however — it requires the stimulation, development, and implementation of citizen-led solutions. With innovation labs and research institutes providing platforms to […]

The layout drawing is the popular format in the Oil & Gas industry to illustrate the design of layouts and the internal equipment. The complex drawings contain primary shapes, indicative lines and textual annotations. So far the expert knowledge is still required to understand, modify and create such documents. The proposed project is to develop […]

Deep neural network (DNN) is a class of machine learning algorithms which is inspired by biological neural networks. DNNs are themselves general function approximations, which is the reason they can be applied to almost any machine learning problem. Their applications can be found in visual object recognition in computer vision, translating texts in unsupervised learning, […]