The proposed research project at the Turak Functional Nanomaterials Research group at Concordia aims to enhance the efficiency of solar energy data measurement and analysis from emerging solar cell technologies. In a world increasingly focused on sustainable energy sources, efficient utilization of solar power is paramount. The lab manages vast data, including complex images of […]

3D printing is versatile and time-saving to fabricate parts with complex structures. It is an essential supplement to conventional processes for metal components. But, the high cost of metal 3D printing severely limits their industrial applications. Recently, the Fused Deposition Modeling (FDM) method can 3D print metals at a lower price. The composite filament contains […]

The research I wish to pursue for my research in Turkey seeks to explore following questions: How are the subjectivities of undocumented Armenian women immigrants shaped in the face of multi-layered discrimination and exclusion? What is the role of Turkish media and Turkish cinema in this discrimination? My inquiry into the ways in which undocumented […]

Cancer is associated with an accumulation of alterations in genes that confer the ability of cancer cells to grow uncontrollably. These alterations can contribute to increased deleterious function or loss of function of genes that normally regulate cell growth. Genes in our cells are organized on chromosomes which duplicate every time a cell divides. In […]

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 […]

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 […]

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 […]