The Sensor Data Mesh: Building an Open, AI-Ready Architecture for Modern ISR Platforms

Modern defense and security operations rely on rapidly expanding networks of distributed sensors operating across air, land, maritime, cyber, and space domains. These sensors generate vast volumes of heterogeneous data—including EO/IR imagery, radar tracks, and RF detections—often transmitted across bandwidth-constrained, unreliable, or contested communications networks. In many current architectures, sensor data must pass through centralized […]

Read More
Mapping the Gap: Strengthening Impact Measurement Systems for Immigration-Focused Social Finance in Canada

This project will place an intern with Propel Impact, a national non-profit, to support its growing work in social innovation and social finance in Ottawa and Ontario. The Mitacs intern will help Propel Impact and its partners, including social enterprises, community foundations, and impact investing funds, strengthen how they measure and communicate the outcomes of […]

Read More
Development of monolithic unitary operations for quantum photonics.

This project is based on a collaboration between the University of Ottawa and Wroclaw University of Science and Technology, aims to revolutionize how we control light for the next generation of quantum computers. Currently, managing light particles requires bulky and complex networks of mirrors and lenses that often leak information and are difficult to scale […]

Read More
Pragmatic Investigation of Artificial Intelligence for Symptomatic Venous Thromboembolism Prevention: PRISM-VTE Study

Venous thromboembolism (VTE), which includes deep vein thrombosis and pulmonary embolism, is a common and potentially life-threatening condition affecting 1 in 10 people during their lifetime. Many cases occur during or shortly after hospitalization. Although hospitals aim to prevent these events, accurately identifying VTE using routine hospital data remains challenging, as diagnostic codes alone are […]

Read More
Strain Selection and Fermentation Optimization for Food-Grade Fungal Proteins

This project supports BioWise Technologies Inc. in advancing the development of sustainable, food-grade fungal proteins through controlled microbial fermentation. The intern will screen and evaluate a library of fungal strains based on protein content and amino acid composition to identify high-performing candidates. Selected strains will undergo purification and genetic characterization, followed by optimization of growth […]

Read More
Non-destructive evaluation of precast concrete tunnel linings

Tunneling is growing in Canada, especially in urban areas, as systems for underground transportation. These infrastructures require advanced technologies for quality assurance and inspection. The project’s outcomes will help develop an NDT solution for the quality assurance of new tunnels and the inspection of existing tunnels across Canada, while also improving the safety and service […]

Read More
Developing Domain-Specific LLM-based Agents for Automated Model Generation and Autonomous Product Configuration at Ciena

This research project will leverage Large Language Models to automatically read and interpret network product documentations, generating structured information that can help automate the configuration of network products with minimal human effort. By automating these time-consuming tasks, the project aims to help engineers accelerate their product setup process, reduce the risk of manual errors, and […]

Read More
Music-movement classes to improve wellbeing of older adults: a global environmental scan of programs and methodologies

The Environmental scan, including a critical appraisal, will 1) map the scope, range, and effectiveness of music and movement programs for older adults and identify gaps and opportunities for future research and practice; and 2) map and appraise research methodologies being used for studies conducted on music and movement programs for older people and identify […]

Read More
Traffic Estimation and Stable Resource Allocation Using Distributed Machine Learning

The proposed research will develop novel distributed machine learning techniques for stable resource allocation and improving traffic estimation in networks. It is a well-known fact that networks are becoming complex and user demand is growing in many directions including the traditional demand for capacity and less delay, as well as improvements in Quality of Experience […]

Read More
Islamic Moral Economy in Iran: Intellectual Lineage and Its Marginalization in Post-Revolutionary Islamic Finance — A Doctoral Research Chapter

This project is part of my doctoral research and examines how Islamic moral economy developed in Iran and why it gradually lost institutional influence after the 1979 Revolution. In the early revolutionary period, Islamic economists promoted ideas centered on social justice, redistribution, and protection of the oppressed. Over time, these welfare oriented visions were replaced […]

Read More
Equity meets efficiency: HIV treatment distribution

What’s the best way to distribute HIV treatment equitably? In developing countries, the major challenges are a lack of resources and infrastructure. In large developed countries like Australia and Canada, a major challenge is the geography and the clustering of populations. However, everyone deserves to have access to treatment, no matter where they live. This […]

Read More