This research aims to address to knowledge gaps in complex multi-stakeholder planning contexts. First, it involves better understanding engagement methods and value elicitation techniques with the purpose of decision making in multiple urban/rural planning contexts. Second, it will research and develop a participatory monitoring and evaluation (M&E) framework to be applied in a First Nations […]

Networks have grown from small topologies connecting a dozen of devices to large, shared infrastructures supporting primary needs of our society. Today, we count on networked services for trading, commuting, monitoring weather conditions, meeting people. In order to provide reliable services, network operators need to cope with the daunting challenge of ensuring millions of flows […]

In this project, we apply deep learning methods to analyze and obtain useful information from text data that are collected from social media, and combine these information with numerical data from physical sensors. We then develop new deep learning based solutions that exploit the combined data in order to track the ships in the open […]

This project will develop data-driven models for production performance analysis and optimization for solvent-assisted bitumen recovery operations and related processes. Effective operations of solvent processes are crucial for improving oil production and maintaining a low solvent-to-oil ratio (SOR). Although the recent developments in digital oilfield technologies have enabled real-time surveillance of downhole operating conditions and […]

Transmission pipelines are the most popular and widely used medium to transport hydrocarbons (e.g., oil and gas) over long distances. Pipelines might pass through various geological and topographic conditions and therefore, pipeline routing is a critical component for successful design and regulatory approval. Due to the environmental and safety concerns or constraints imposed by the […]

Some species of marine invertebrates are rich source of diverse bioactive molecules with variety of therapeutic properties including immunostimulatory, anticancer and antimicrobial. This research aims to develop an integrated process for the sequential extraction and fractionation of pharmaceutically important from a selected marine invertebrates using supercritical carbon dioxide. The newly developed process will be a […]

Wavelength tunable lasers are indispensable in future wavelength division multiplexing networks which can improve the communication capacity significantly. The objective of this project is to develop wavelength tunable semiconductor lasers with an ultra-wideband. By exploiting wave manipulation method, we will target the physical realization of such a device with high fabrication yield and high reliability. […]

In comparison to the well-developed electronic design automation (EDA) tools of microelectronics, the simulation tools of burgeoning photonics are too coarse. Time-assuming and computer memory hungry characters restrict tradition method application on photonic devices and circuits simulation. So, the aim of the proposed research project is to find a high accuracy and efficiency simulation method […]

Headworn display (HWD) augmented reality devices, such as the Magic Leap and HoloLens provide new opportunities to enhance interactive data visualizations. While immersive HWDs provide a straightforward way to render 3D and immersive visualizations, there are opportunities to improve 2D visualizations as well. This research program considers how 3D spatial metaphors enabled by AR can […]

Steel rebars are the dominant reinforcement elements in reinforced concrete structures due to their relatively adequate manufacturing, material property and established construction codes. In an ideal environment and under nominal loading, conventional concrete reinforcement is expected to govern the design strength based on which they are designed. However, under environmental loading conditions, such as very […]

With the small qubit devices now becoming accessible across various hardware and cloud platforms, it is imperative to find useful tasks for the devices to perform. Such devices are known as NISQ – Noisy Intermediate Scale Quantum – devices. In this regime of a few qubits, we expect the physical qubits to be noisy in […]

Carbon capture and sequestration (CCS) technology provides a promising avenue to reduce carbon emissions. CCS works by capturing and storing carbon dioxide preventing it from contributing to climate change. Pressurized Chemical Looping Combustion (PCLC) is a promising next generation CCS technology that use a metal catalyst to react hydrocarbon fuels in an efficient way allowing […]