How to automatically monitor wide critical open areas is a challenge to be addressed. In this project we are looking for using CNN+LSTM technique for identifying anomalies and by using a deep reinforcement learning approach, classify them into one or more groups such as health, crime, accidents etc. This project aims to alleviate this problem […]

Increasing visibility into asset inventory and gaining situational awareness in industrial control system (ICS) environment are of critical importance for electric utilities to effectively manage cybersecurity risks. In this project, we aim to investigate the solution design for electric utilities to automate asset management in an ICS, addressing the unique challenges such as device heterogeneity […]

This project is to purpose to use computer vision to identify the various error types during the operation of 3D printers to boost their throughput and enhance their application in the manufacturing industry. Nevertheless, due to the lack of precision and controllability inside the printers, engineers cannot achieve a reliable printing process and acceptable quality […]

We use optimization and analytics, within a dynamic experiment setting, to help determine a business-to-consumer matching platform transaction fees and improve customer engagement. During the course of the project, a graduate student intern will gain deeper understanding of designing and running dynamic experiments and learn more about using optimization within game-theory models. The intern will […]

We are experiencing a health crisis in the form of a novel coronavirus – COVID-19. It has spread rapidly and overwhelmed many healthcare systems. Many health authorities and businesses have increased sanitization requirements including hospitals, nursing stations, long-term care facilities, shopping malls, grocery stores, and office towers. With this new solution we will be able […]

COVID-19 impacts on travel are unprecedented, affecting virus-spread, transportation services delivery, and how people will eventually safely participate in economic, educational and social activities. These impacts vary substantially across neighbourhoods, often worsening existing inequities in Canadian cities. This project will accelerate research for deriving insights about COVID-19 from TELUS network location data. Specifically, it will […]

Deep learning (DL) algorithms have achieved phenomenal success in different AI applications in recent times. Training DL algorithms require huge computational resources. Therefore, cloud or high-performance computing at the edge are obvious choices for this task. However, during inference cloud computing is not a suitable choice because of latency issues. There are billions of devices […]

In many cities, fleet operators are evaluating the potential environmental benefits of replacing gasoline-fuelled vehicles by alternative vehicles, particularly electric vehicles. In this process, reductions in energy consumption and greenhouse gas emissions can be achieved. In this project, the company HDR proposes to partner with the Transportation and Air Quality (TRAQ) research group at the […]

Analyzing parking behavior and usage in large open-concept retail centers enables owners and managers to better understand how their parking facility is being used. Most large, open-concept shopping centers are experiencing a parking oversupply problem. Current parking allocation is inefficient and contributes to urban sprawl, large concrete pads that trap solar heat and a waste […]

The objective of this study is to develop a district energy evaluation and plan for the Regional Municipality of Durham. This will be achieved by analyzing and assessing the current energy demand and response at the Region of Durham throughout all sectors, including commercial, institutional, industrial and residential sectors. There are numerous potential district energy […]

The proposed research will involve studying the carbon footprint (i.e. the carbon emissions) involved in the preparation of magnesium oxychloride (MOC) cement materials. MOC cement has been proposed as a more environmentally friendly alternative to traditionally used Portland cement (PC), however many discrepancies arise as there is no work directly comparing their carbon footprints. In […]

Geriatric rehabilitation programs are effective for restoring and improving the functional independence and quality of life. Nevertheless, the aim of the therapy is to return home and once it is safe, based on the condition of the patient and social environment, patients are encouraged to be discharged home. Unfortunately, this does not mean that these […]