The objective of this project is the development of a novel data-driven control framework for nonlinear dynamical systems. The proposed solution will be validated and tested on the autonomous ground vehicles available at Concordia University. To achieve the desired goal, the research intern, with the supervision and help of the host and home supervisor, will […]

The degradation of soil under freeze-thaw cycles will pose a major threat to newly constructed infrastructure in cold regions. The soil ground forms an essential part of the built environment, thus actions should be taken to improve the ground’s resilience. We are collaborating with our industry partner SFTec Inc. to propose a sustainable value-added strategy […]

Taking Mongolian-English code-switching as an entry point, this research will adopts quantitative linguistic approach, attempts to study the syntactic features of Mongolian-English code-switching based on Recursive Object Model (ROM).

It is widely accepted in Canada that small and medium-sized enterprises (SMEs) are the engine of the national economy responsible for 98% of businesses and employing more than 10 million individuals. To continue growing and supporting the national economy, SMEs can internationalize to seek increased profits and gain a competitive edge. One industry that can […]

Carbon capture and utilization (CCU), primarily the CO2 electroreduction technology, can convert CO2 into a variety of valuable products, using renewable electricity. However, the path to widespread adoption of the CO2 electroreduction technology in industrial settings is met with several challenges primarily the cost of electricity, efficiency and selectivity of the desired product. One of […]

Ensuring the sustainability of air transportation is a priority for the global aerospace community. Disruptive technologies, such as hydrogen-based propulsion, are promising but present significant challenges for the design and operation. One challenge for designing these future aircraft is the large number of potential architectures and the need to consider safety already in the early […]

The proposed project seeks to evaluate the stability of concrete hydraulic structures using a progressive method that balances precision and computational expenses. By examining various simplification assumptions and analyzing different loading conditions, while incorporating machine learning techniques to merge data with different levels of accuracy, the project aims to enhance the evaluation of risks associated […]

Deep learning (DL) has emerged as a viable means for identifying software bugs and vulnerabilities. The success of DL relies on having a suitable representation of the problem domain. However, existing DL-based solutions for learning program representations have limitations – they either cannot capture the deep, precise program semantics or suffer from poor scalability. We […]

Those who draft resolutions and treaties in international organizations (IOs) can significantly influence their content and acceptance. It is therefore puzzling that not all states are interested in drafting, so-called “pen-holding”. Veto powers Russia and China barely draft any United Nations Security Council (UNSC) resolutions, and in the African Union (AU), international bureaucrats or independent […]

The ordered median is an important class of facility location problem that encompasses multiple other relevant location problems as particular cases. Deepening our understanding of this problem, its mathematical properties and proposing novel methodological contributions for its solution lies at the core of this project. We will consider a recent algorithm for this problem developed […]

The vehicle routing problem is a frequent real-world challenge, especially in transportation and logistics. It involves finding efficient routes for a fleet of vehicles to serve a group of customers while minimizing the overall travel cost. Methods for solving this problem exactly, meaning the solution found is guaranteed to be the best possible, are known […]

L’estimation des forts débits dans un contexte de changement climatique est une tâche essentielle à bien des égards pour notre société. Elle permet en l’occurrence d’analyser l’impact et les stratégies de mitigation face aux aléas naturels comme les inondations. Différentes approches ont été proposées pour répondre à ce besoin dont la modélisation hydro-climatologique (MHC) et […]