Algorithms and methodologies of controlling unsteady flows

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The objective of this project is to develop a computer-based virtual environment (VE) platform for supporting expert data-analysis and decision-making. The platform is illustrated for an important and pervasive industrial challenge: controlling unsteady flows (e.g., liquids/gas flow reactors). Embedded in the platform is a set of enabling algorithms that make robust and reliable recognition of key patterns from complex and massive flow data; and that render the recognized patterns effectively for three-dimensional visualization and multi-user interaction. Advancing the state of the art, these algorithms are unconventional solutions to current research challenges - such as incompleteness of data for flow pattern recognition, subjectivity of representations and inadequacy of simulation tools for real-time analysis. The significance of the VE platform is exemplified through applications to chemical flow reactors, a core business interest of our supporting organization NOVA Chemicals Corporation. ** **The project fits well into the target area of Information and Communication Technologies, under the research topic of "(e) From Data to Knowledge to Action - unstructured pattern recognition." With strong industrial support, we envision such a VE platform to boost the productivity and competitiveness of many Canadian sectors; in which experts across disciplines must routinely decode complex and massive data together in their problem-solving and decision-making activities.************