Accurate and high-resolution analysis of precipitation accumulation is of primary importance for hydrological and meteorology applications. In the last decade, the Canadian Precipitation Analysis (CaPA) system has been developed and implemented at Environment and Climate Change Canada (ECCC)’s Meteorological Service of Canada (MSC). The goal of this project aims to improve CaPA by including adjusted […]

The waste generated from construction, renovation and demolition (CRD) activities accounts for around 27% of all waste generated in Canada. The large amount of CRD waste which could be prevented or recycled is sent to landfill without utilization, resulting in environmental problems and waste of resources. The aim of project is to provide the best […]

Reproductive Longevity (RL) is a complex biological trait under the control of many genes. In livestock, RL of female breeders is a key productivity factor, especially for dairy cows. The genes that determine RL in humans are potential sources of diagnostic and therapeutic innovations for fertility and reproductive health. The proposed research aims to identify […]

5G mobile networks will support a wide range of services beyond traditional voice and data services, such as augmented/virtual reality, autonomous vehicle control, and smart cities, which will open new revenue streams for the mobile network operators. Network slicing is an enabling technology for partitioning the physical network into multiple network slices, each tailored to […]

In this project, we propose the use of blockchains to provide reliability, security, and transparency for collecting and querying IoT data in the energy sector. In particular, we will implement and evaluate our blockchain solution for enabling transactions in local energy markets, where homeowners have the capacity to generate energy (through renewables), stock energy (through […]

Continuous wave (CW) ultrasound systems are extremely sensitive to movement, noise, and artifacts of reflective tissues within the body that return doppler ultrasound signals to the receiver. In the application of CW ultrasound to clinical applications, classifying and handling noise/artifacts is essential for broad clinical adoption. A machine learning (ML) algorithm is commonly used for […]

This research project entails the development and user study assessment of a prototype participatory urban planning tool for the City of Hamilton (Virtual Hamilton), which integrates GIS data with a 3D virtual city model to facilitate stakeholder visualization, collaboration, content contribution, and communication. In consultation with City of Hamilton ward councilors and urban renewal, planning […]

Informal learning involves acquiring knowledge outside of a structured setting in which learning is self-directed and developed from experience, exposure, and interactions with their environments (Nelson et al., 2006). Examples of informal coach learning includes experience as an athlete, coach observation, self-reflection, reading books, exploring the internet, and learning from experts or mentors in the […]

Rail transit and freight rail properties apply rail grinding to maintain rail condition and ensure satisfactory performance of rail infrastructure systems. The proposed research investigates and applies a variety of computationally intelligent algorithms to establish useful relationships between rail corrugation, noise generation, and vibration. These relationships will support more timely and effective rail grinding interventions. […]

Le projet consiste tout d’abord à tester l’intégration de technologie numérique sur les terrains de fouille archéologique au Québec, tel que l’utilisation de tablettes électroniques pour la prise de notes, photos ou la transposition de cartes anciennes par réalité augmentée. Cette recherche nous permettra de déterminer les techniques archéologiques qui pourraient être améliorées et/ou simplifiées, […]

The proposed research will explore opportunities in measuring spatial variability in soil, water and topography within potato fields. Addressing this variability by doing site specific application of inputs such as fertilizer, crop protectant and seed can help to increase environmental sustainability and economic viability in potato production. This research will help develop new applications for […]

CAPSolar développe un module à énergie solaire unique en son genre, conçu spécifiquement pour les véhicules électriques à basse vitesse, afin de prolonger leur autonomie ainsi que la durée de vie de leur batterie de manière à optimiser la gestion des flottes commerciales de ce type de véhicule et réduire leur empreinte écologique. Toutefois, CAPSolar […]