This project will help Genome Prairie make genomics research easier to understand and more accessible to a wide range of audiences. The intern will translate complex scientific information into clear, engaging digital content for the website, social media, and newsletters. By improving how research is communicated, the project will increase awareness, strengthen engagement with stakeholders, […]

The proposed project will improve Global Maritime Canada’s document intake and record-keeping process by developing an AI-assisted workflow that streamlines how project documents are reviewed, organized, and logged into an existing internal environment. By reducing repetitive manual steps and standardizing the information captured at intake, the project aims to improve operational efficiency and the quality […]

This project develops a practical analytics framework to examine how early-stage quantum startups present their business models, target markets, and commercialization plans. Using structured data collection and interpretable machine learning methods, the project will assess whether startups’ technical positioning aligns with clear and realistic market pathways. The result will be a transparent Commercialization Alignment Index […]

La définition d’un niveau de service réalisable pour les systèmes d’information contemporains est une activité complexe. L’utilisation d’architectures logicielles granulaires, comme celle de microservices, demande une analyse locale et globale des capacités de chaque composante d’un système informatique. L’analyse manuelle des profils opérationnels de ces composantes par un expert humain rencontre des limitations cognitives. En […]

Cyber threats targeting democratic elections have escalated globally, manifesting as informational attacks (misinformation, disinformation) and technical attacks (hacking, data breaches). While governments recognize the need for comprehensive responses encompassing legislative, policy, and administrative measures, existing research focuses narrowly on national-level analysis or single response types, limiting identification of best practices. This proposal offers a comparative […]

This project explores how advanced artificial intelligence models can analyze network traffic while keeping sensitive data fully encrypted. Building on recent research using CryptoKAN neural networks, the project studies whether model compression techniques can make encrypted intrusion detection faster and more practical without reducing detection accuracy. The intern will first adapt and evaluate encrypted AI […]

This project will build a new kind of AI question-answering system where several specialized “agents” work together under an adaptive controller. Instead of a single model answering a question in one shot, Omar’s work designs a coordinator that plans the steps, decides when more information is needed, and measures how confident the system should be […]

Modern augmented reality (AR) head-mounted displays (HMDs) display stereo images to the two eyes through a beam splitter and optical lenses that project the images onto a fixed focal plane. When 3D content is rendered at a depth different from this focal plane, users must accommodate to the display distance while converging their eyes to […]

This research project aims to develop more practical and efficient methods to verify that quantum devices are working correctly, especially when we cannot fully trust the internal details of the hardware. By relaxing strong assumptions about the dimension of tested quantum devices and deriving clear robustness bounds, the project will help build scalable and robust […]

During his doctoral work, Louis Jourdan developed the 2D-pUCC (2D-block pair unitary coupled-cluster) ansatz, a novel quantum algorithmic framework that adapts and generalizes the classical Antisymmetric Product of 2D-block Geminals (AP2D-BG) method for quantum computing architectures. The overarching objective of the project is to reduce the measurement cost in variational quantum algorithms for molecular electronic-structure […]

This project explores how chemical modifications to DNA and histone proteins influence the 3D structure of the genome during early embryonic development. Working at RIKEN in Japan, Iqra Wardak will learn molecular biology and computational genomics techniques to study how epigenetic marks regulate gene activity and cell identity. The project combines experimental training with analysis […]

This project aims to develop a reliable and easy-to-understand artificial intelligence tool that can help answer medical questions more safely and transparently. By improving how AI systems explain their answers, the project seeks to increase trust among healthcare professionals and patients while reducing the risk of incorrect or biased medical information. The collaboration between the […]