LANGA – Big Data for Language Learning

LANGA is a project at Copernicus Studios (Halifax, NS) that is experimenting with the use of automated speech recognition in on-line video games to assist in language learning. Over the past 2 years, the company has been developing prototypes of the game and testing them in conjunction with the NeuroCognitive Imaging Lab at Dalhousie University. […]

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Personalized user engagement based on activity insights

This project aims to integrate a chat interface into the UpBeing app to allow users to engage more deeply with their insights. It consists of informing a large language model (LLM) of a user’s most recent insights, which will give it real time ground truth a users’ recent experience, thereby empowering the LLM to provide […]

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Medventions – Surgical Oncology Project – Surgical Oncology Innovation

Launched in Summer 2023, Medventions Atlantic is a partnership between the Nova Scotia Health Innovation Hub and Sunnybrook Research Institute with the goal to drive health innovation and nurture Canadian talent in the healthcare technology sector. The cornerstone of the program is a four month physician-led, hospital-based fellowship training that equips aspiring innovators and entrepreneurs […]

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Medventions: Psychiatry Project – Psychiatry Innovation

Launched in Summer 2023, Medventions Atlantic is a partnership between the Nova Scotia Health Innovation Hub and Sunnybrook Research Institute with the goal to drive health innovation and nurture Canadian talent in the healthcare technology sector. The cornerstone of the program is a four month physician-led, hospital-based fellowship training that equips aspiring innovators and entrepreneurs […]

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Analysis of PFAS by liquid chromatography with triple quad mass spectrometry

Per- and polyfluoroalkyl substances (PFAS) are persistent organic compounds that are called as “forever chemicals” in the environment. These chemical cause stress on the environment and human health. Therefore, study on the analysis of PFAS is necessary for the environmental quality and sustainable development. The research project “Analysis of PFAS by liquid chromatography with triple […]

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Enhancing agricultural production through the use of alkaline stabilized biosolids

Agricultural use of municipal biosolids has many possible benefits for producers, including improved soil physical properties and fertility supplements for crop production. However, recent concerns with pharmaceutical ingredients, consumer product ingredients, and hormones entering into sensitive ecological environments such as surface or ground water has brought into question the continued use of biosolids in agriculture. […]

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Understanding and Predicting Daily Shifts in Emotion with Machine Learning

Individuals’ mood can change on a moment-to-moment basis. Understanding and predicating changes in mood, however, is difficult. A Canadian technology company, called UpBeing, has developed a mobile app to help collect data on mood (among other data) multiple times in a given day. The proposed study will use cutting-edge machine learning techniques and data provided […]

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Management and treatment of wood preserving wastes for environmental remediation and energy generation: Waste-Water-Energy Nexus.

In the modern period of the Industrial Revolution, enormous emphasis is placed on green technology, including zero or less waste production, recycling resources, and using recyclable raw materials. According to the UN’s Sustainable Development Goals for a peaceful and flourishing world, materials science research focuses on recovering techniques and proper waste control are essential to […]

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A proposed hybrid machine learning model for fault-type classification and detection in a 10 MW wind farm based on synchrophasor and weather data

Incorporating renewable energy sources, such as wind and solar farms, have posed a challenge to electrical engineers due to their intermittent nature as the time and amount of energy generated depends on the weather. For this reason, grid stability and predicting the behaviour of renewables has been increasingly more important. In this study, we propose […]

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