The goal of the project is to assess the viability of current synthetic data generation systems. If the generated synthetic data is accurate enough without providing sensitive details it can be used to train machine learning models without needing to share sensitive information. The particular application of this project is to computer logs which can […]

The distribution of IT products in Canada is complex and constantly changing, with dramatic transformation coming from new digital technologies, changing customer expectations and the constant presence of global competitors. This research will assess the IT Distribution Channels in Canada to understand the changes, and to identify the key attributes for survival and prosperity going […]

Pipeline alerts are beneficial to analysts to determine where their attention is needed. However, a high false positive rate leads to a noisy stream and wastes analysts’ time. The first sub-project will aim to classify the alerts as either low or high likelihood of a false positive, allowing analysts to spend their time where it […]

In collaboration with the CCES we will develop a practical approach to training business and sports ethics—one that enhances students, professionals, and sports participants and leaders’ ability to navigate “how to resolve ethical dilemmas” to minimize social and environmental damage and maintain the integrity of sport. This project aligns with one of the strategic pillars […]

The purpose of this research is to help the City of Peterborough develop a framework for engaging with key stakeholders in the city to advance the UN Sustainable Development Goals (SDGs) in Peterborough. It aims to develop a stakeholder map and a deeper understanding of the spheres of control and influence each stakeholder has on […]

Parenting is challenged by the pace of change in information technology, impacting child development and parent-child relationships. Children learn and grow in online environments and their development, perspectives and understanding of the world are impacted by multiple communities, which creates risks to safety, relationships and experiences. Supporting technologies will help bridge this gap, intervening with […]

Cyber attackers can sometimes compromise endpoint machines. They may perform malicious actions that will damage the company. As a result, it is necessary to collect forensics artifacts (Information from the endpoint machine that can be used to trace the attackers’ behaviors) from the compromised machine for investigation. With the information we have, we may reconstruct […]

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 […]

Vibration of aircraft engine is the major contribution to the structure vibration in an aircraft. To reduce the cabin noise and improve the comfortability for air passenger, research design and analysis are desired in the engine technology. A critical component in eliminating the vibration in an aero engine is the squeeze film damper (SFD). Current […]

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 […]

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 […]

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 […]