Enhanced Techniques for History Matching and Forecasting of Petroleum Reservoir Data

History matching refers to calibrating numerical or analytical models by the observed data. However, this task can be very challenging in presence of complex geology and/or many unknown data . The purpose of this project is to introduce and apply the new techniques for efficient creation of predictive history-matched models for reservoir characterization of conventional […]

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Multi-Perspective Text Analysis of Social Knowledge Networks

Knowledge workers (i.e., researchers, business consultants and analysts, research-program managers) produce documents (research publications, analysis reports, opinion pieces, calls-for-proposals, and blog posts) through which they express their knowledge and opinions. They also read and review similar documents, produced by individuals and organizations in their domain of interest and expertise, to keep current with their domain. […]

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Interactive Mesh-based Volumetric Visualization

Our industrial partner, LlamaZOO Interactive Inc, publishes the first-of-its-kind digital anatomy study and reference app, EasyAnatomy. For this app, dissecting an animal model and see its internals are important facets of the learning experience. Through our research, we will enhance this experience by designing an interactive 3D visualization of an arbitrarily dissected model, and accelerate […]

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Connecting Healthcare Data with the Blockchain

This project focuses on using blockchain technology and smart contracts to manage the health care data access. Blockchain is the distributed ledger based on verified transactions, and the smart contract is the programmable part of the blockchain which can automate more complex transactions. Blockchain provides a secure and durable distributed database to store data accesses […]

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STEAM Robotics for Teachers: How Educators Learn

Teachers are being challenged to integrate Science, Technology, Engineering, Arts, and Mathematics (STEAM) across the curriculum more frequently and effectively. Many teachers are challenged with these aspects for several reasons. In particular, subject areas are still isolated in British Columbia (BC), and only a few schools truly have STEM/STEAM programs. Secondly, STEM is more often […]

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Development of a Co-Simulation Platform for Electrical Systems

The proposed research aims to develop better computer simulation tools for the study of large electrical power systems. The premise of the research is based upon the concept of co-simulation, wherein two specialized computer simulation tools, each with unique features and strengths, are used in conjunction to solve a large electrical system. In the particular […]

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Understanding and Improving Knowledge Flow in Software Organizations

Software teams and organizations use various tools — either by design or appropriation — to manage and share knowledge. Software engineering practitioners recognize that good documentation and effective knowledge sharing are critical to the success of a project and also to developer productivity. Yet, writing and maintaining documentation is often an afterthought for software engineering […]

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An IoT Platform for Disaster Response

This project aims to develop a novel information-technology platform to improve the effectiveness of emergency response in disaster areas, ultimately saving lives. In case of any emergency response, the local communication infrastructure cannot be generally relied upon: therefore, we propose a distributed, self-organizing information system based on off-the-shelf mobile devices, supported by self-organizing, self-deploying UAVs. […]

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Advancing Out-of-Band Network Measurement for Multi-Hop Sensor Networks

This collaborative project with Rimeware will investigate out-of-band measurement approaches that can passively monitor the network traffic and provide rich detailed network information, e.g., latency, loss, route path, etc. The goal is to build a programmable system for accurate, generic, and robust network measurement. It includes two sub projects. In the first sub-project, we will […]

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Deep Learning to assist requirement translation

Cutting edge techniques in artificial intelligence will be applied to extract semantic information from natural language and work towards building a system that can help engineers write clearer and less ambiguous requirements for complex systems. Models will be developed that are similar to current techniques used by popular translation tools, and will be adapted for […]

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Investigating How Teachers Learn and Customize Digital Classroom Tools II

Our proposed research investigates how K-12 teachers learn and customize digital classroom tools and learning management systems and how they share this information with each other. In particular, we will be working with our partner Microsoft to investigate the use and customization of the recently developed OneNote Class Notebooks software that is increasingly being used […]

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