1991 Soviet Coup Attempt – Part 1

The proposed research project aims to analyze the causes and consequences of the Soviet Coup attempt, including the political and economic factors that led to the coup, the role of the Soviet military and the KGB, and the impact of the coup on the collapse of the Soviet Union. The expected outcomes of the research […]

Read More
1991 Soviet Coup Attempt – Part 2

The intern will investigate the 1991 Soviet coup attempt, a critical event in history when some powerful Soviet leaders tried to take control from then-President Mikhail Gorbachev. They will study why it happened, who was involved, and what the consequences were for the Soviet Union and the world. By analyzing historical documents, interviews, and other […]

Read More
Building Security Controls Catalogue for SMEs

Fraud prevention tools play a critical role in real estate transactions. Even though digital fraudsters employ all newly available tools to find loopholes in the existing technological ecosystem, the information systems involved in real estate transactions typically lag behind in terms of digital identity verification and management. In order to facilitate industry adoption of the […]

Read More
Threat actor group profiling

Understanding the current panorama of threat actor groups worldwide is critical to building efficient cybersecurity programs. Information about threat actor groups’ motivations, tools, tactics and techniques they use to attack, and the type of targets they have in their sights provide valuable information to cybersecurity teams. To achieve this goal is essential to generate intelligence […]

Read More
Mining Event Tracing for Windows (ETW)

As cyber adversaries are becoming more creative, analysts are required to figure out more innovative ways to detect them to be able to respond before it’s too late. To detect any underlying threat inside a system, data logs are collected showing events and activities occurring inside the system. Adversaries nowadays are capable of evading detection […]

Read More
Out of Distribution Detection in Deep Generative Models

As generative models become increasingly prominent in machine learning, the need for accurately detecting out-of-distribution data has become crucial. The primary objective of this research is to develop an approach that can identify when the program encounters data that is vastly different from what it was trained on. In machine learning, programs may make errors […]

Read More
Transceivers based on quantum dash optical frequency comb sources for optical access networking

The project focuses on the design, modeling/simulation, and testing of photonic devices, and the co-design of electronicphotonic integrated circuits, to realize transceivers that can be commercialized for use in both wireline, e.g., passive optical networks (PONs), and wireless, e.g., 5G backhaul, access networks with an emphasis on meeting the reach requirements for remote and underserved […]

Read More
Adapting Not-for-Profit Arts Publishing to the Post-Digital Paradigm

PUBLIC (est. 1988) is a not-for-profit print periodical exploring the intersection of art, design, technology, and culture. This research project advances that history by looking at the future of print culture as today’s artists are increasingly making and exhibiting work in online spaces. How can PUBLIC promote engaging and accessible conversations around artists working exclusively […]

Read More
Object Tracking for High-Speed Pick-and-Place Robot

The demand for eCommerce and online orders has risen rapidly in recent years, this drives the need for highly efficient and automated item sortation systems. Kindred AI is a technology company with the objective to bring artificial intelligence and robotic technologies into the workforce of eCommerce, parcel and order fulfillment. As a part of the […]

Read More
Representation Learning with Time Series Data

The proposed research aims at learning better representations for multivariate time series (MTS) data, which can be applied to various important real-life applications such as weather, traffic, and electricity forecasting. Better forecasting accuracies for these tasks could help with efficient risk aversion and decision making, and save costs for decision makers. The proposed research will […]

Read More
Wearable Digital Technology for Continuous Monitoring of Vital Signs – part A

SFU will be collaborating with partners of a supercluster on the Continuous Connected Patient Care (CCPC) Platform, which is being developed to provide safe, responsive, and high-quality outpatient care at home. We will be working directly with our partner, Medtronic Canada. SFU’s will focus on the research, development, and testing of medical grade wearable sensor […]

Read More