Generative FlowNets for Material Physics Discovery

In many real world problems, the design process involves iterative steps with generation of candidates and evaluation of these generated candidates to evaluate their utility for the relevant task. This evaluation can be done with say expensive wet lab experiments or some computational oracles. We might want to make the best use of both of […]

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Supporting cross-scalar environmental governance

Effective mechanisms for bridging global environmental governance institutions where decision-making and governance principles are established with the experiences, knowledge, and worldviews of local peoples, communities, and conservation practitioners are increasingly necessary. Large-scale planning initiatives for conservation and mitigating climate change are cross-scalar endeavors. Therefore there is a critical need for governance mechanisms that effectively decentralize […]

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Reinforcement-GAN for Network Intrusion Detection

Network intrusion detection systems play a crucial role in computer networks defense. However, most of the existing solutions do not take into account the time-evolving component of the attacks. Attackers are constantly changing the intrusion methods which becomes a serious threat and requires the development of adaptive methods that can cope with these modifications. Moreover, […]

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Perceptions on opioid prescribing after total joint arthroplasty among surgeons practising in Canada, Japan, and the Netherlands: an interpretive description study

Total hip and knee replacement surgeries are the second and third most common surgical procedures in Canada, respectively. Opioid analgesics are routinely prescribed to manage pain after these procedures, making orthopaedic surgeons the third-highest opioid prescribers in Canada. However, opioids are not typically more effective than alternatives (e.g., NSAIDs) and are associated with addiction, overdose, […]

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Physics-informed Machine Learning for Turbulent Separated Flows Using Smart Sensors

Real-time prediction of incoming turbulence has important practical utility in the control and monitoring of fluid systems. Flow estimation using smart sensing techniques will improve our ability to predict and control these flows. However, current sensor-based flow reconstruction methods have not been tested to effectively resolve multi-scale, chaotic and unsteady turbulent phenomena that are commonly […]

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Morphai

Dream’s continuous landscape of consciousness in science, technology and culture opens up to the gamification of sleep and potential of avatars. Eponymous of the human shapes dream god Morpheus sent to dreamers in Greek mythology, “Morphai” is a trans-consciousness multi-realities game where the animated character’s body movement is controlled by the signals from the sleeping […]

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Computational Optimal Transport

In the last 30 years, the theory of optimal transportation (OT) has emerged as a fertile field of inquiry, and a diverse tool for exploring applications within and beyond mathematics, in such diverse fields as economics, meteorology, geometry, fluid mechanics and engineering. More recently, thanks to many applications in finance, economics, quantum chemistry, machine learning […]

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Wartime Policy Making and Governance: Ukraine and Canada Higher Education Alliance

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, […]

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Quantitative Evaluation and Modeling of Action-Reaction Cycles in Interactive Human Driving Behaviors

This project aims to provide a framework to quantify the interactivity between human drivers in traffic, which could be used to design the decision-making policy for socially-compatible autonomous vehicles. Toward this end, we develop a conditional behavior prediction module based on Gaussian mixture models to jointly capture the dependency of one agent’s reactions on the […]

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Non(Sleep)Social: Reclaiming the silent night

The project focuses on the benefits of wakefulness at night through listening, and listening collectively, in the context of public programs for exhibitions. (NON)SLEEP SOCIAL challenges ideas around sleep and sleep ‘disorders’ such as insomnia as unwanted wakefulness during the night. The project focuses on the potential of all night cultural events within the context […]

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Autonomic, cardiovascular, respiratory, muscle oxygenation regulation during postural transitions and acute exercise in females and males living with frailty

This research aims to: (1) determine how the brain, heart, vessels, lungs, and muscle oxygenation regulation in female and male frail older adults. In study #1, participants will perform three postural transitions: (a) sit-to-stand, (b) lie-to-stand, and (c) lie-to-sit, and three identical constant workload walking tests. The autonomic (brain, e.g., sympathetic and parasympathetic activity), cardiovascular […]

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Production of cellulose esters in ionic liquid

Cellulose is the most common natural polymer available. The project aims to produce esters from cellulose fibers employing green solvents, such as ionic liquids. Ionic liquids’ properties are tunable by changing the anion and the cation to dissolve simultaneously the cellulose and the esterification agent. The esterification agent is a free fatty acid which can […]

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