Combining Online and Face-to-Face Learning to Optimize Overall Learning

The project is intended to support and enhance the learnings provided by Stem Minds – a Toronto based start-up that provides digital learning focused on Science, Technology, Engineering and Mathematics (STEM), through the approach of gamification. The project will focus on the factors that motivate students to learn STEM subjects through gamification to deepen their […]

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Evaluation of Upland Rice Production in Southern Alberta

This project involves first steps needed to begin growing rice under irrigation in southern Alberta. Trials will use Seed Film Cultivation (SFC) technology to suppress weeds, increase soil temperature, and reduce evaporative moisture losses. Rice grown with SFC will be compared to direct seeded plots and transplanted rice seedlings. Irrigation will be provided by an […]

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Implementation of Machine Vision Algorithms in a Decision Support System for Variable Crop Management

The proposed research aims to develop machine vision-based decision support system for variable crop management. This research will deploy the deep learning models for plant/weed detection, plant growth indicators and soil organic matter assessment. The information retrieved from these models will be used to devise variable rate management map to optimize the consumption of agrochemical […]

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Temperature de Conducteurs; Developpement des relations experimentales pour Ie dimensionnement des connexions flexibles des alternateurs

Le sujet a l’etude dans ce projet est le joint de cuivre flexible. Ces joints assurent une connexion electrique entre des conducteurs. Certains fabricants utilisent aujourd’hui ces joints flexibles dans les alternateurs pour faire les connexions entre les poles du rotor pour l’inducteur. Le dimensionnement de ces joints flexibles s’effectue avec une approche conservatrice compte […]

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Development of science-based criteria to assess the effectiveness of the ecological restoration of peatlands

Peatlands are freshwater wetlands which, in their natural (pristine) state, provide a specific habitat for many species of flora and fauna and several ecosystem services useful to human populations, such as the sequestration of carbon in accumulated peat (peatlands are a major global carbon sink). However, like many other wetlands, they are often disturbed and […]

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Using the FRAM to inform autonomous adaptive instructor feedback in lifeboat simulators

This research project focuses on using functional modelling (FRAM) to map trainee-trainer interactions in lifeboat simulators. The functional model will be used as a basis to create a virtual instructor that can provide feedback to trainees autonomously in Virtual Marine’s lifeboat simulators. The research will contribute to improving the capabilities of Virtual Marine’s lifeboat simulators […]

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Human Resource Expert System: a Help Centre/Inquiry Expert System for Hospitals

Seneca and Trinetra are collaborating to develop a Human Resources (HR) Expert System—a self-service, Artificial Intelligence (AI)–powered application capable of responding to queries or questions from hospital staff by extracting the right answer from relevant sources: collective bargaining agreement, policies, etc., which will be piloted at Markham Stouffville Hospital (MSH). This System will provide an […]

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Reformulation of Electrochemical Sensors for Trace Dissolved Oxygen Monitoring

Electrochemical sensors for monitoring dissolved oxygen levels are commonplace in industrial, research and regulatory labs. The industrial partner?s commercialized device is capable of real-time monitoring of O2 at parts-per-billion levels but is interested in reformulating the electrode materials to remove heavy metals, thereby minimizing negative environmental impact and ensuring sustainability of the technology. This project […]

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Multimodal-based inferencing of behavioral constructs in asynchronous video-based interviews: portability, efficacy, and interpretability

The intern is expected to work on devising novel, research-based solutions to model traits (e.g., naturalness, confidence, engagement, humor, etc.) from video recordings of non-cognitive, performance-based tasks. Specifically, we are working toward an intelligent combination of multimodal (video, speech, text) data to create an enriched model for predicting human traits in human-computer interactions. The intern […]

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