Analog and digitally synthesized film grain is widely seen in pristine visual content as part of the creative intent of content producers. However, in streaming media applications such as online video-on-demand and live video broadcasting, grain demands excessive amounts of bandwidth to transmit the video streams from the server to the consumer devices while maintaining […]

Jake is going to join the projects using a large-scale boundary layer wind tunnel, a thermally stratified wind tunnel, a climate chamber, and wind tunnel projects conducted at various companies if possible. Lastly, based on the understanding of wind tunnel technologies, he is going to conduct research on the evaluation of wind loading on tall […]

Project Blinkem is a novel approach to visible light communication, which aims to create a low-cost, scalable, and secure framework using existing technologies. The project proposes encoding data into Infrared LEDs, which can visually communicate with high-resolution image sensors on HMDs as well as a high-speed optical module. By leveraging the security benefits of visible […]

IndigenousTech.ai Corporation (IndigenousTech.ai) since inception has been focusing on improving the quality of life for Indigenous peoples living on reserve. Through financial literacy training, housing reviews, credit projects, implementations of new technologies for remote communities, and mentorship programs, we have been able to establish an excellent network and trust with over forty (40+) Indigenous communities […]

The Guelph Minor Hockey Association (GMHA) is a not-for-profit community sport organization (CSO) that has serviced the City of Guelph with youth hockey programming since 1948. Currently, 1,500 youth are enrolled in GMHA programming. Although hockey is known as Canada’s sport, the landscape has been changing. Many of the country’s largest minor hockey associations have […]

The intern within this position will work with Indigenous Clean Energy (ICE) to help co-design resources for Indigenous governments, such as research protocols, that will identify Indigenous Nations strategies for offshore wind development approaches to Indigenous Energy Justice to benefit diverse Indigenous seascapes. Additionally, this position will be responsible for coordinating and executing meetings and […]

With the evolution of computer vision methods in recent years, more and more scene-understanding methods have been proposed. Meanwhile, SOTI also designed and developed several scene-understanding algorithms. However, due to the limited computing capabilities of UAVs, all these algorithms need to be compressed to use fewer resources. This project will deliver a model compression and […]

This research project is a collaborative effort between the University of Waterloo and Oceana Canada and is guided by several core objectives: 1) To define, compile, and assess best practices (BPs) that are commonly used for reducing plastic production in selected international jurisdictions; 2) Explore and examine the mechanisms, barriers, policies, policy instruments, etc. that […]

GestureLogic is building a product that optimizes athletic performance. The product is a wearable sensory network that monitors muscle activity. The goal of this research is to take this inherently complex muscle data that is acquired by the sensory network and translate it to useful biometrics for the consumer with the help of intelligent algorithms. […]

The abradable rub strip (ARS) material’s main function is to minimize the clearance between blade tips and the fan case, thereby increasing the overall engine efficiency. Under tensile and compressive loading, the abradable material behaves different, and has a significant post-failure compaction under compressive loading. Therefore, its characterization is complex and requires a wide range […]

This research project aims to review the different epidemiological modelling approaches used to predict the spread of COVID-19. The project will conduct a comprehensive search of literature and relevant sources, evaluate the quality of the identified studies, extract relevant data, and synthesize the data to provide a narrative summary of the effectiveness of different modelling […]

Our research is related to developing mathematical tools for analyzing power systems with massive penetration of renewable power resources, mainly wind, solar and small hydropower: that convex optimization, dynamical systems, model predictive control, optimal control, and passivity-based control. The objective of this small project is to develop model-predictive controls for the integration of renewable energies, […]