Data management systems are the backbone of the modern society powering many impactful applications. As data volume and the need for fast data processing continue to grow, it is paramount for data management software to evolve and provide high performance. This in turn must be done by co-designing data management software with the underlying hardware […]

The aim of the EPES (Epilepsy Pre-Evaluation Space) is to create an immersive tool to better understand spatiotemporal phenomena inside epilepsy patients’ brains, by creating a 4D spatial-temporal visualization of electrical activity. Used for pre-surgical evaluation of epilepsy patients suited for surgical resection of the brain region, where seizures onset zone lies. EPES provides an […]

The proposed project is part of a large-scale collaboration between SFU’s Behavioral and Cognitive Neuroscience Institute (BCNI) and Fraser Health Authority (FHA) in the domain of AI applied to clinical electroencephalographic (EEG) scans recorded and evaluated in the process of diagnostic workup in FHA’s public hospitals (n = 40’000). The key goal of the SFU/FHA […]

Climate change continues to exacerbate around the world. Capturing greenhouse gases like CO2 directly from air is becoming more and more important to reduce the magnitude of severe climate change. Efficient conversion of the captured CO2 into liquid fuels such as methanol has the potential to revolutionize green energy technologies and displace fossil fuels. Leveraging […]

The results obtained in this project will lead to new tools for the preparation of molecules of interest, possibly with biological activities. These studies will contribute to the development of new green synthetic methods using environmentally friendly catalysts. Efficient and practical synthetic methods are in high demand in the industrial and academic sectors. In particular, […]

Lesya Ukrainka Volyn National University has collected over 1000 narratives written by Ukrainian civilians about their experience of the ongoing Russia-Ukraine war. The objective of this research project is to use the narratives to discover commonalities in the language of the writers and to find whether there are linguistic markers of trauma across the narratives. […]

Le présent projet de recherche vise à établir le rôle essentiel que jouent les techniques cinématographiques numériques récentes dans la méthode de travail du cinéaste Abdellatif Kechiche, et leur impact sur l’esthétique de ses films. Par sa pratique unique, le cinéma d’Abdellatif Kechiche constitue une étude de cas exemplaire pour continuer à comprendre les mutations […]

The search for music for a video is time-intensive. Video creators and bloggers listen to hundreds of tracks in music libraries, yet barely find the perfect one because of the difficulty of communicating their vision to the computer. Thus, the question we address in this research project is on the role of the modality, in […]

Involving some of the smartest students in Ukraine, the research project and partnership will enrich the Master of Global Affairs and Master of Public Policy programs at the Munk School. KSE students will provide Munk community a window into the Ukrainian policymaking process as well as a more general understanding of governance during conflict. Simultaneously, […]

In the last few decades, molecular dynamics computer simulations have become increasingly important to unravel and understand the mechanisms of (bio)molecular processes, significant for a myriad of pharmaceutical and/or industrial applications. Although these molecular systems should be considered on the microscopic quantum mechanical level, they are typically approximated by the macroscopic Newtonian laws because of […]

A nucleus of tin composed of 50 protons and 66 neutrons, called 116Sn, is the subject of our investigation. Only certain energies are available to nuclei at any one time, and when a nucleus reaches one of these energy states, it acquires features unique to that state. To create the examined nucleus, a beam of […]

Engineered dissipation is an important technique to prepare quantum resources, such as spin-squeezed states, for quantum sensing and computing. Compared with traditional coherent approach, engineered dissipation is generally less demanding in control precision and more robust against noise. However, the efficiency dissipative spin squeezing can be affected by unwanted interaction. It would be highly desirable […]