In this project, we will develop innovative AI tools to speed up the process of catalyst discovery, in particular in the domain of renewable energy. Specific catalysts are essential to applications such as the efficient synthesis of solar fuels and fertilizer. However, many known catalysts are suboptimal in their efficacy or require scarce elements. Currently, […]

An individual’s voice is unique due to a combination of their physical and social characteristics. For children who present with complex communication needs (CCN), sometimes the only functional way to communicate is by using an augmentative and alternative communication (AAC) device. AAC devices with speech output capability are known as voice output communication aids (VOCAs). […]

The roadmap for 5G networks is already taking shape due to several industrial and academic research efforts. 5G networks are expected to support more diversified services, which should create exciting business opportunities in many vertical sectors. Achieving this requires improving the technologies behind the evolution of 5G and leveraging machine learning (ML)/artificial intelligence (AI) techniques […]

This project is a collaborative endeavor of researchers (6 supervisors, 3 PhD students and one postdoctoral fellow) which will be either members or visitors of the incoming “International Laboratory on Learning Systems” (ILLS) of the CNRS (starting in early 2022) with Université Paris-Saclay, McGill University and École de technologie supérieure (ETS). We will develop rigorous […]

This project is a cross-disciplinary study of econometrics and machine learning (ML) models applied to the decision making modelling in industry. The problematic arises from the lack of tools supporting the transition to circular economics model and the need to identify the key factors to influence this transition. The project aims to explore the key […]

Computer-based multimodal affect recognition methods fuse multiple informational channels, typically video, audio, and text, to resolve the emotional state of a monitored individual. The proposed research aims to develop multimodal deep learning models to recognize anomalous emotional responses, which correspond to a deviation from the expected affective reaction for a particular context. Since multimodal affect […]

To support their continued growth Beauceron Security is seeking to adopt innovative practices across all areas of their business to support their mission to develop world class cyber security solutions that enhance the ability of organizations to recognize, respond to and avoid cyberattacks. The NBCC interns will bring skills and expertise that can support a […]

Currently, most small or medium manufacturers inspect products or parts’ visual quality manually. The manual visual quality inspection is error prone, subjective, and labor intensive. In recent years, image-based automated inspection has seen exciting uptakes in many modern factories. One critical challenge that limits their vast potentials lies in its ability to detect anomalous situations […]

In this project our goal is to facilitate the 3D reconstruction of assets that are found in the ocean bed for the purpose of monitoring the state of the asset, especially to assess whether there is corrosion or cracks in the equipment. Using high-quality subsea imaging, we can obtain images of assets that can be […]

The school closures due to COVID-19 accompanied with the change to remote learning had further exacerbated disparities in the already existing achievement gaps of African Nova Scotian learners in Canada. We propose a technology innovation to be co-developed with the African Nova Scotian community and teachers, offers flexibility in delivery, with content and pedagogical approaches […]

As a high-growth start-up, 3D Planeta is seeking to adopt innovative practices across all areas of their business to support their mission to develop world-class software solutions and business culture. To support this goal 3D Planeta is seeking to collaborate with NBCC subject matter experts to co-supervise interns to support projects related to programming, graphics […]

Medidas Digital was incorporated in 2019 to create TrypScore, a technology built to change human behaviour with regards to driving a vehicle. Vehicle collisions are responsible for 1.35 million fatalities and approximately 50 million serious injuries across the globe every year. We wanted to create a modern user engagement tool that could incentivize better driving […]