Artificial Intelligence (AI) is becoming more and more ubiquitous with each passing day. Our goal in this project is to enhance human-AI interaction by exploring ways in which proxemics can help drive and support the interaction. We want to create more intuitive and user friendly agents that are aware of one’s context and proxemics in […]

Cybersecurity incidents such as data breaches have become more critical and costly than ever, as we are generating, processing, and relying on more digital information every day. To quickly identify potential security attacks and prevent them in a sea of system activities, machine learning (ML) has been applied to support security analysts’ decisions. However, the […]

the motion relationship between viewers and visualizations can affect readability and usability of data in various application contexts. Our previous research (10.1109/TVCG.2022.3184993) showed that motion factors such as moving speed and movement trajectory impact reading accuracy. Nevertheless, we still do not know how visualizations should be designed in real scenarios such as when both viewers […]

Sycodal is a Canadian company that empowers local small and medium-sized enterprises (SMEs) with cutting-edge digital solutions to overcome human resource shortages and adapt to market fluctuations. It is a member of the NVIDIA Inception program and uses NVIDIA’s technology to add machine learning (ML) and reinforcement learning (RL) capabilities to its automation systems. These […]

At large, the desire of the Mitacs Research Grant is to gain understanding of surgery as a new field of science, dubbed Surgical Data Science (SDS), and to provide computer knowledge compatible robot system development through ontology driven Surgical Process Modeling (SPM) and Deep Learning (DL) methods, which can lead to autonomous surgical phase detection-based […]

Easy Platter is looking to scale nationally. For which, we need to meet 2 primary objectives: 1) Build a chef onboarding platform that enables chefs across Canada to sign up 2) Optimize the customer journey by creating stickiness on the platform This project is key for Easy Platter as we move from a NS based […]

An experiential learning opportunity for an intern to work with software as a solution platform in local server and cloud environments. The intern will gain valuable hands-on experience with data engineering tech stacks and technologies associated with deploying scalable software solutions locally and in the cloud.

We (Atlantic Lottery Corporation) were approached by University of New Brusnwick to participate in the Sri Vishu partnership to help students with their experiential internship . The University of New Brunswick (UNB) partnered with the Sri Vishnu Educational Society (SVES) to provide an employment experience for SVES students through the master of computer science by […]

Community Connectedness, belonging and caring for each other has been fundamental to human wellbeing. In recent decades, our society has moved to replace the importance of human connectedness and mutual support with self-reliance. This has resulted in ever increasing incidences of loneliness, isolation and mental health challenges. Happy Community Project Limited www.happycommunityproject.com was incorporated in […]

AERIUM employs aerial drones to collect data and perform geospatial data analytics in real-time applicable for a variety of fields which include the oil sector, airport transportation, forestry, and smart wildlife management. This proposal focuses on leveraging the data characteristics available in multispectral imagery and that may be missing in standard RGB data to detect […]

Encoding information in quantum states is the new era of communication known as quantum communication. Quantum key distribution (QKD) is the building block of quantum communication making a distribution of a secret key between two parties. The quantum states can be two-dimensions (qubit) or d-dimensions (qudit) quantum states defined in different degrees of freedom (e.g., […]

Deep Learning has seen great success in recent years in application to high-dimensional data. In the advent of increased computability, the increase in accuracy of Deep Learning has surpassed traditional statistical methods. Consequently, the complexity of Deep Learning methods are not interpretable (black-box); therefore, are often dismissed in high-risk domains such as health care and […]