For people with lower limb amputations, the interface between the amputated limb and a prosthetic socket is very important. Suspension, or how the socket is held on the limb, is one factor that affects a person’s ability to walk efficiently and safely, movement confidence, limb health, and quality of life. This project will assess, evaluate, […]

The suggested research for the Mitacs Accelerate Program is directed to be the final step in a series of previous investigations for maximizing gold extraction from the ASGM tailings and saprolite materials, retrieved from the Eldorado Gold`s Tocantinzinho project (“TZ”), looking to improve its economic results. The TZ project is located in an extensive ASGM […]

This project studies efficient online optimization algorithms for large-scale data transfer among data centers in a geographically-distributed cloud system, as well as their SDN (Software Defined Networking)-facilitated implementation. Big data analytics, content distribution, and various web applications (social networking, search engine) have become dominating applications on today’s cloud platforms. Moving bulk volumes of data from […]

Automated object detection and tracking in videos is still one of the challenging problems in computer vision. Generally, it is a very challenging problem due to the loss of information caused by the projection of the 3D world on a 2D image, noise in images, cluttered background, complex object motion, partial or full occlusions, changes […]

Non-metallic technologies, including composite materials, have the potential to improve aircraft engines performances and fuel efficiency, and therefore gained a lot of popularity in the aerospace sector in the past decades. Therefore, the overall objective of this research project is to develop an understanding of all available non-metallic technologies, their maturity and value proposition when […]

Current and near-future D-Wave processors implement optimization using quantum effects on a fixed processor layout. This layout can be modeled as a graph with certain constraints, and the optimization is applied to a specific problem: fixed-topology Ising spin optimization. It is therefore important to study how best to use this hardware to solve combinatorial optimization […]

Dans le but d’améliorer le taux d’ensemencement d’un semoir pneumatique de graines de résineux, un système automatisé de vision par ordinateur permettant la détection automatique des graines de semences de résineux permettant ainsi l’évaluation en temps-réel de l’efficacité d’ensemencement du semoir sera développé. Ce système automatisé sera constitué d’un système de capture d’images par caméra […]

Recent years have witnessed a boom in the construction of modern high-rise buildings in megacities around the world. It is important to design a high-rise building that can effectively withstand both wind and earthquake loads. Nonetheless, in current practice, the design of highrise buildings for wind and earthquakes is done independently. Hence, there is an […]

This project attempts to develop new solution to two problem types that are known to be intractable optimization problems. These include a scheduling problem, the PSP (Project Scheduling Problem), and a problem found in trading (leg-pricing). These problems are investigated to evaluate the applicability of recently developed quantum annealing processors, which specialize in optimization problems, […]

Machine learning is an active field of research and development to provide tools and technologies for finding significant patterns in data. Behind every face detection and face recognition software in digital cameras or social network websites a constantly under-development machine learning algorithm is working. Nowadays in any practical applications of machine learning we have to […]

Machine learning is an active field of research and development to provide tools and technologies for finding significant patterns in data. Behind every face detection and face recognition software in digital cameras or social network websites a constantly under-development machine learning algorithm is working. Nowadays in any practical applications of machine learning we have to […]

Automated human body pose estimation and activity recognition in videos is still one of the challenging problems in computer vision. Generally, it is becomes a significantly difficult task in real world applications due to camera motion, cluttered background, occlusion, and scale/viewpoint/perspective variations. Moreover, the same action performed by two persons can appear to be very […]