Nexeya is an innovative industrial group that provides test, integration and control-command solutions mainly in the Defense, Aeronautics, Energy, Railway, and Automotive sectors. Nexeya’s current products are able to test characterise wiring harnesses and detecting and localising wiring defects, in the Aeronautics, Automotive, Railway, and Space industries. This proposed research project aims to advance the […]

In 2014 a handheld DNA measurement device, the “MinION”, was commercialized. It is 100X smaller by volume and 6X faster and 20X less expensive than the next smallest DNA measurement device on the market. But its measurements are of a lower quality, about 90% of measured DNA is accurately ‘detected’ compared to 99.9% for leading […]

When creating a video game, every digital character must be created by professional artists. Their work is very labor intensive because the number of created characters are in the thousands, each of which has multiple visual components that must be created for each one. “Scanning” real actors to create a digital version of themselves can […]

The order volume forecasting problem involves the simulation of at least three entities of the food delivery business. There are many variables that affect those entities and complex non-linear interactions among them that can be measured by KPIs. An accurate forecast allows the restaurants to be better prepared and give more precise food preparation and […]

Gnowit is an Ottawa-based information services company that employs artificial intelligence and machine learning to automate the process of monitoring web sources at scale to provide real-time briefings and notifications for the purposes of competitive intelligence, evidence-based policy research and media monitoring. The company currently monitors more than 40 thousand web sources and generates atleast […]

Honeybees play a significant role in the Canadian economy for pollinating crops and producing honey. One third of our food comes from the crops and vegetables benefiting by pollination from bees. Around the world, honeybees are facing significant challenges, and this has led to increased costs of production for food products. This research project will […]

The goal of this research project is to create a novel type of biosensor by combining two complimentary microfabrication techniques. First, a silicon chip containing JFET transistors with an open gate will be fabricated using traditional microfabrication techniques that are highly reliable and give good performance. Second, a graphene layer will be inkjet printed onto […]

This research project will develop dc electric field sensors for the monitoring of electric power utility infrastructure and for non-contact voltage probing and monitoring. MEMS sensors are the focus, as they offer small size, low cost, and low power operation. These properties make them ideal for hand held operation, and for deployment in remote locations […]

Cyber security is fundamental to guarantee the reliable operation of the electric power systems. As the energy industry migrates to the digital space with information and communication technology (ICT), managing the electricity delivery is becoming complex and increasingly dependent on industrial control systems (ICS). The heavy reliance on ICT and the rapid penetration of ICS […]

The most successful computer vision approaches are based on deep learning architectures, which typically require a large amount of labeled data. This can be impractical or expensive to acquire. Therefore, few-shot learning techniques were proposed to learn new concepts with just one or few annotated examples. However, unsupervised methods such as generative adversarial networks (GANs) […]

Localization is a technical to find the location of a target, such as a worker walking in a plant. For outdoor localization, satellite-based global positioning system (GPS) is commonly used. GPS does not provide good accuracy for indoor localization due to the complicated indoor environment that affects the GPS signal propagation. Currently, there are two […]

This project investigates automobile purchasing behavior of female millennials. In order to achieve the goal of understanding and making use of purchasing behavior, data are to be collected, managed, and analyzed. In addition to using existing data and third-party data, two major tasks of data collection are the use of questionnaire and web crawling to […]