Costing, rewards, and SEM analysis: Application to a B2C platform launch

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 also further understand the demands of running a matching platform. The industry partner will gain insights on setting transaction fees and increasing customer engagement.

Accelerating Neural Networks on FPGAs through High-Level Synthesis

Computer hardware is enjoying a widespread renaissance with the emergence of the compute-intensive and challenging machine learning workloads. ABR develops and maintains NENGO, a biologically-plausible model for neural networks and is keen to develop hardware support for efficient realizations of these networks. FPGA (Field-Programmable Gate Arrays), are an attractive target for this if we can overcome the communication bottlenecks that limit the effectiveness of these designs.

Development of a Simulation Pipeline for Validating and OptimizingElectrically Tunable Liquid Crystal Zooming Systems

[Reseach Abstract. Project Overview missing]

simulation package available) to simulate a zooming system composed of tunable liquid crystal lenses
that is capable of aberration correction. The first component of the project consists of simulating a liquid
crystal lens in COMSOL. The liquid crystals rearrange themselves based on a space varying electric
field created by the placement of multiple electrodes and special materials. The crystal rearrangements
produce a rapid change in local refractive index.

The Impact of Cultural and Economic Factors on Play and Purchase Decisions for Tabletop Games

Wiggles 3D is a company that has set its goal to create relevant, inclusive, and entertaining tabletops games that are accessible to all who may find them of interest. However, much of game research has focused on a user group’s life stage or the occasion at which a game is played, while not so much on cultural aspects, such as players’ ethnicity or the cultural context of their lifestyle.

Studying Gameful Design for Bite-Sized Information Consumption

MLD Solutions are facing the challenge of creating engagement with their online platform Mozaik.Global that allows users to create, distribute, and sell interactive digital content. This content is created in bite-sized units, currently visualized as cards. The key problem with this new type of digital content is that the company currently does not know how to make this content engaging. To address this problem, we will study the impact of gameful elements to motivate use of Mozaik.Global.

Using machine learning to identify and contextualize residential rainwater downspouts and guide stormwater outreach programming

Municipalities are seeking ways to reduce the effects of uncontrolled rainwater and one of the primary contributors to the problem is residential downspouts. Downspout disconnections and redirections are low-cost ways to reduce the overall imperviousness of urban and suburban landscapes and ameliorate stormwater issues. This project will use machine learning to analyze Google street view data to find all visible downspouts and contextualize the areas where they drain as permeable or impermeable.

Monitoring the Impact of COVID-19 Isolation Policies on Public Wellness using IoT - A Public Health and Work from Home Perspective

Social isolation is having a significant impact on the quality of life, physical activity, and sleep patterns of our population. While self-isolation and social distancing provide the most successful method for limiting the progression and spread of infectious diseases like COVID-19, we often overlook the impact of these rules on our population.

Evaluation of best practice police resources to assist in the rapid response of missing persons with dementia

Three out of five Canadians with dementia wander, raising concern as to how it can be managed. Strategies, such as GPS, offer options for finding missing persons with dementia and may be a preferred strategy by police. As part of the Finding Your Way® Program with the Alzheimer Society on Ontario, a series of education resources were developed in 2018 to assist in the location of this population by police services. The impact of these resources has yet to be evaluated by participating police services.

Countermeasures for Hardening Embedded Security

The impact of attacks on Internet of Things (IoT) embedded devices range from threatening lives, such as attacks on wearable/implantable health devices, to threatening infrastructures in financial, transportation, and other sectors. In the IoT realm, hardware is distributed and embedded in our environment and must be hardened against malicious intentional and unintentional attack. Despite advances in hardening software systems using security fixes, attacks on embedded hardware remain feasible with few known defenses.

Real-time COVID-19 detection in wastewater from long-term care homes

The goal of the partnership between Mantech and Waterloo is to develop a technology to manufacture smart hybrid water sensors for current and future disease prediction and detection. This technology will have an invaluable impact on human health research efforts to contain the COVID-19 and possible future pandemic spread, and put Ontario and Canada far ahead of similar efforts worldwide.