The project will sponsor an intern’s visit to UNL. The intern is a Concordia student co-supervised by her Canadian supervisor (Concordia) and her American supervisor (UNL). The topic is an integrated part of the intern’s PhD study, which synthesizes, analyzes, and evaluates economic incentives (e.g., tax breaks, subsidies) required by sustainable energy transitions of Quebec […]

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 […]

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 aims to address the pressing challenge of reducing greenhouse gas emissions by leveraging synthetic chemistry. By designing a novel iron-aluminum complex for carbon dioxide activation, the project explores bimetallic systems to introduce innovative pathways for reducing carbon dioxide’s harmful environmental impact. The participating institutions, Imperial College London and the researcher’s home institution […]

Promoting healthy living and reducing the burden of cardiovascular diseases are public health priorities in Canada and the United States. In recent years, the importance of measuring neighborhood contexts to address inequities in cardiovascular health has been highlighted. Many neighborhood indices have been utilized by academic researchers to explore the complex relationship between neighborhood and […]

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 […]

Immunotoxins (ITs) are representing a subset of antibody drug conjugates where the synthetic toxin is replaced by a bacterial protein toxin. Major drawback is related to the immunogenicity of the protein not allowing repeated application. Consequently targeted human cytolytic fusion proteins (hCFPs) have been developed to replace the foreign protein toxin by a human apoptosis […]

Ce projet est axé sur l’amélioration de la conception des matériaux, en particulier pour des applications telles que les diodes électroluminescentes organiques (OLED). Des modèles d’apprentissage automatique modernes et des méthodologies spécialisées en chimie quantique sont utilisés pour enquêter systématiquement sur ces matériaux. L’initiative consiste à établir un ensemble de données complet issu d’une sélection […]

With the increased global protein demand, it is necessary to effectively utilize protein extracted from plants, particularly with limited uses, which has poor digestibility and techno-functional properties. Therefore, the proposed project will aim at developing novel protein ingredients from alternative plant proteins with improved techno-functional properties using innovative, sustainable, nonthermal clean processing technology, thereby improving […]