An electrochemical microfluidic sensor for cannabinoid detection

Cannabis legalization creates a pressing need to improve existing screening methods. Currently, the two devices approved by the office other the attorney general of Canada (i.e. the Drager 5000 and SoToxa) have not been embraced by the vast majority of police forces who deemed both options unaffordable, difficult to use and inaccurate. The present project […]

Read More
Automatic Annotation of Vertebral Heart Score and Tibial Plateau Angle in X-ray Images

The proposed work combines artificial intelligence and diagnostic medicine. Using X-ray images, radiologists and veterinarians can perform an array of measurements to assess patient health. In a veterinary setting, standard measurements and annotations are performed on X-ray images to assess heart and knee health in canines, namely vertebral heart score (VHS) and tibial plateau angle […]

Read More
Novelty Detection in Lunar Analogue Terrains

Lunar and planetary rovers are faced with a high volume of data from their sensors and cameras, and yet decisions must be made rapidly to prioritize to which crater it should drive up to and of which rock it should take a closer look. In Canada’s intended upcoming exploration of the Lunar surface aboard short-timescale […]

Read More
Pickup and Delivery with Smart Service Times

The research problem to be addressed is the pickup and delivery problem (last mile) with precedence constraints for the pickup/delivery operations, and time windows. The objective is: (i) the design of a new algorithm that will use the algorithm of Curtois et al. [6] as a starting point, and to generalize it with precedence constraints, […]

Read More
BIM-based Seismic Performance Assessment of Buildings for Post-Earthquake Rehabilitation

As many of the existing buildings are reaching almost the end of their actual design life, new buildings are replacing them with more innovative and complicated technologies. At the same time, there are concerns and uncertainties about probabilistic structural failures and undesired structural system behaviors. The performance of these building under loads such as earthquakes […]

Read More
Dynamics and Stability of a Crosswind Kite Power System

The proposed project aims to develop some novel mathematical tools to ensure the safe design and operation of crosswind kite power systems (CKPS). CKPS are part of an emerging wind energy technology, which harness from naturally strong steady winds at high altitudes, where the airborne energy harvesting device is kept aloft using very light tethers. […]

Read More
High power density motor and converter for electric cars

Governments around the globe are pressing the automotive industry to reach lower emission and better efficiency with various specifications targets and regulations. With the increasing amount of electric vehicle models that are available and the higher demand on the market, major OEMs are looking for components to differentiate themselves and offer competitive solutions. As the […]

Read More
Skill – An AI-generation resume standard

Skill is an open-source standard format for resume writing that is optimized to be processed by AI systems. It can remove the hassle and stress of fully expressing themselves from job seekers and eliminate the hassle of finding the best candidate from employers. As AI systems grow more popularity in different fields, Skill will provide […]

Read More
Machine Learning Solutions for Detecting Suspicious and Abnormal User Access Roles and Entitlements

The latest cybersecurity incidents (e.g., Desjardinds, CapitalOne) have shown that the current cybersecurity solutions are not always effective in capturing and preventing attacks, especially when it comes to insider attacks that originate from within the targeted organization. In this project which will be conducted in collaboration with Xpertics, we aim to build a new solution […]

Read More
Diagnostics and Explainable Machine Learning Models

Despite the advances of Machine Learning, the models are still being considered black-boxes that are difficult to diagnose and explain. The model performance diagnostic measures are critical to the assessment of the model’s relevance, accuracy and robustness. Good models’ performance is the primary enabler of their successful deployment in real-life applications. However, even if the […]

Read More