House price valuation and forecasting are considered as critical urban problems that aid individuals and organizations to execute a variety of property-related practices such as property purchase and selling, taxation, and mortgage property. This project aims to collect appropriate features for house price modeling and to develop a combined machine learning-graph modeling approach to have […]

This work is a holistic automatic methodology for cloud resource management system, which is a corner stone to build any cloud system. Cloud players rely on this to reduce management effort and cloud running cost, by enabling dynamic service access to cloud clients with cheapest price for customer, and high revenue for cloud providers. Customer […]

In this project, a key research project for the robotization of the timber building construction is proposed. By developing a full-scale robotic cell for mass timber walls and showcasing its benefits compared to current manual situations, in terms of safety, quality, productivity and so forth, we expect to support the introduction of robotic cells in […]

Electrovestibulography (EVestG) is a novel neural diagnostic tool to identify various neurological disorders. The signal amplitude of interest in EVestG recordings is in the sub ?V range; therefore EVestG demands a very low noise signal acquisition protocol. The proposed research is to design, develop and validate an artificial ear-canal that simulates the electrical noise conditions […]

This project aims to develop a retail demand forecasting model that can both handle the long-term and short-term forecasting, and adjust its parameters as more data come in. General long-term prediction models are relatively precise because the context often remains same over time, but can not quickly adapt to unforeseen events, like the global pandemics. […]

Poly- and perfluoroalkyl substances (PFASs) are groups of contaminants that have received much attention due to their frequent detection in the environment and potential adverse health effect on humans and animals. PFASs can be removed from water using adsorption processes. Adsorbent produced by pyrolysis of sewage sludge (SBAC) offers a promising sustainable solution for removing […]

Biomass wHh little or no commercial value Is often produced as by-products from sawmills and commercial agricultural activity. The use of this biomass for energy generation can offset the need forfosall fuels thereby contributing to reductions In Green House Gas (GHG) emissions. However for biomass to substitute fuels such as natural gas, It needs to […]

Combined heat and power generation (CHP) is an efficient method of recovering waste heat of flue gas in internal combustion engines. CHP using natural gas (NG CHP) is actually a NG power generator combined with a waste heat recovery (WHR) system. The by-product heat from the electricity generation is captured by passing the high temperature […]

Drones popularity has been rapidly increasing for a wide class of applications including commercial delivery, photography, fire-fighting and environmental monitoring due to their low cost and high commercial availability as unmanned aerial vehicles. In the light of this growth, anti-drone technology has become a significant research topic of investigation due to unauthorized flying of drones […]

This research project is related to the development of innovative solutions to enhance thermal performance of self-contained DM systems. The project will be carried out in collaboration with Van der Graaf Inc. (VDG), which is a Canadian company located in Brampton, Ontario. A long-term plan has been developed by the applicant and the industrial partner. […]

This research aims to thoroughly evaluate a new revolutionary generation of advanced cementitious materials: CNF-UHPFRC. It is composed of several phases that target to assess this competitive material at several levels and optimize it. One of its important and distinctive aspects is to tailor its constituents, correspondingly price, for each specific application, while maintaining the […]

The Gulo Gulo project objective is to improve the navigation algorithm utilized by the onboard motion sensors of AV/CVs to achieve positioning accuracy of less than 1% of the distance travelled with standalone INS solutions. The standalone solution will be aided with visions sensors (camera, LIDAR and RADAR) in addition to integrated system fusion with […]