InSAR is a technique used by radar-based remote sensing for applications such as tracking spatial displacement/deformation of an object on earth, e.g., building and a bridge, over time. The object analysis part of InSAR processing belongs to an offline processing chain that operates on very high resolution images consisting of huge volume of data. The […]

Disruptive antenna technologies are required to provide performance and fabrication advantages in developing multi-functional antenna array solutions that could provide various capabilities, including multi-band frequency operation and two dimensional electronic steering. The internship will investigate the technical feasibility of such multi-functional antenna arrays for commercial applications in the context of fabrication constraints.

The proposed project aims at the design and implementation of low complexity digital pre-distortion (DPD) algorithms for concurrent multiband wireless transmitters. The power amplifier (PA) is one of the major sources of power dissipation in wireless base stations. The DPD techniques enable the PA to operate in higher power levels where it has its highest […]

The research will entail modeling of diesel engine emissions to correlate with varying states of diesel engine operations so as to determine normal operating parameters. Using machine learning techniques, develop methods to analyze, alert and report on abnormal operating conditions when the vehicle is monitored in real time. The research will provide an important first […]

We aim to use Saskatchewan’s data and current protocols to explore and identify the risk factors for the challenge of investigating cases of missing children. We will be using a variety of analytical methods in order to come up with a set of valuable recommendations for improving the process of investigating the cases of missing […]

Machine learning is an active field of research and development to provide tools and technologies for finding significant patterns in data. Behind every face detection and face recognition software in digital cameras or social network websites a constantly under-development machine learning algorithm is working. Nowadays in any practical applications of machine learning we have to […]

The second project also relates to the application of VA to financial systemic risk analytics. The report on the NSF-funded workshop on Next-Generation Community for Financial Cyberinfrastructure for Managing Systemic Risk identifies the need to develop robust simulations and computational models in order to manage systemic risk. Many of these are in the form of […]

A novel transmitter architecture which presents more power efficiency than that of the transmitters being used currently in mobile communication base stations is proposed in this research project. The result of this research fills the gap between the theoretical idea behind this transmitter structure and its practical usage in cellular network base stations. This transmitter […]

The objective of this project is to improve long-term planning of Alberta’s electricity system infrastructure in collaboration with an industry sponsor, Alberta Electricity System Operator (AESO). The project aims at engaging stakeholders in a regional planning exercise in southern Alberta by a detailed exploration of their perspectives when evaluating energy system alternatives. This was identified […]

As future IoT infrastructure generates massive data in excess of exabytes, a unified architecture to handle Big Data is highly essential. Development of unified Big Data processing architecture for IoT infrastructure will provide a scalable and standard solution that addresses the problem of continuous increase in the volume of Big Data. Cloud networks provide necessary […]

The primary goal of the intern project is to research and propose implementations that enable streamlining the APP (application layer) interface to flow through the SDN layered model. The target solution would enable a SDN-standardized approach of handling the APP communication with the data plane. It involves developing an Application plug-in for the Open Day […]

This research will investigate needs that women entrepreneurs in York Region and Simcoe County have that, if addressed, could strengthen the success of these businesses, with a particular focus on smaller companies. We will examine cultural, industry, sociological and competency factors that influence the performance of women-owned businesses and self-employed women from an economic standpoint, […]