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 […]

The research will be using visual information from the phone’s camera as well as demographic information from participants and implement various machine learning algorithms such as random forests, support vector machines, etc. to provide feedback regarding different exercises to the participant. Specifically, the algorithms will classify the exercise types. Furthermore, these algorithms will be optimized […]

We aim to develop a new algorithm to detect changes in serial MR examinations. Computer-based change detection system is an important tool to automatically process abundant information produced by imaging systems and assist physicians to identify clinically important changes in the images. Many existing methods are computationally costly. The emerging mathematical theory of compressed sensing […]

We are proposing to help design the experimental setup to characterize chip-scale Optical Phased Arrays (OPAs). OPAs – a photonic device used for optical beam forming and beam steering – have been widely studied for LiDAR, optical sensing, free-space communication and more. Building on previously prototyped phase array antenna design at Honeywell, the team aims […]

Cameras apply a lot of processing on the raw image recorded by the sensor to enhance the brightness, contrast, and colors, and make the output image visually pleasing. The image is also finally compressed to make the file size smaller. These operations make it difficult to reverse to the raw sensor image which is necessary […]

Two overarching approaches to allocate the aggregate risk capital stand out nowadays. These are the top-down approach that entails that the allocation exercise is imposed by the corporate centre, and the bottom-up approach that implies that the allocation of the aggregate risk to business units is informed by these units. Briefly, the top-down allocations start […]

Among the applications of computer science in the field of health care and biomedicine, the processing of clinical patient records is one of the increasingly important topics for improving the Electronic Health Records (EHR) systems. A practical use of EHR systems is to help improve the decision making process for the physicians. The goal of […]

Novel view synthesis is the process of generating new images from an unseen perspective, given at least one image of a scene. There may be more than one probable novel view associated with each unseen perspective, an assumption made by existing methods. This simplifying assumption prevents these methods from being applied to more difficult novel […]

Acculogic develops state-of-the-art testers for short-batch electronic circuit boards (ECBs). The order in which the required tests are performed affects the amount of shuttle and probe movements required between the tests, and this affects the overall efficiency of the test procedure. Unique characteristics of the problem (e.g. the ability to move one set of probes […]

The proposed research project will explore the question: How can existing mechanisms (National Marine Conservation Area Reserve (NMCAR), Indigenous Protected and Conserved Areas (IPCA), and Management Agreements with Parks Canada in the Southern Gulf Islands (GINPR)) be used to uphold Indigenous W?SÁNE? laws, governance structures, values, and responsibilities within W?SÁNE? territory? Exploring the benefits, limits, […]

The intelligent control of space cameras project is concerned with development of the next generation of space cameras. Currently, there is a large gap between the onboard capabilities of standard commercial cameras and those currently in space (examples include image resolution, onboard storage, advanced scene understanding and exposure control). Closing this gap for space camera […]

This project aims to conduct a comprehensive review of existing power line (PL) data processing procedure used in practice and to design and develop the new automatic workflow by integrating start-of-the-art algorithms with current data processing chain. This leads to the establishment of an innovative framework on automatic PL feature detection and reconstruction from LiDAR […]