Research | Queen’s University Canada

Analytics and Digital Technologies

July 10, 2018

Developing methods and tools to build and monitor dependable, secure software systems: this research will lead to techniques for detecting software failures and security violations while programs are running.

July 9, 2018

Providing techniques and tools to improve the quality of service oriented architecture applications for the Internet: this research will ensure the reliable and cost-effective delivery of web services for large numbers of users with rapidly changing requirements.

July 9, 2018

Developing new models that explain and predict turbulence: this research will lead to dramatic improvements in applications from the design of vehicles and cardiac devices to weather and air-quality forecasting.

July 9, 2018

Researching the potential for computer-assisted surgery and interventions: this research will enhance the computer-related components of surgery such as medical imaging, scientific visualization, and biosensors for clinical use.

[ Professor Patrick Martin ]
April 1, 2015

Queen's researcher Patrick Martin of the Queen’s School of Computing, along with business professor Brent Gallupe, is being given the chance to use IBM’s Watson cognitive computing system as an integral part of the department’s CISC 490 course, Deep Analytics using Watson.

[ Dr. Ugo Piomelli smiling ]
April 1, 2015

Queen's researcher Dr. Ugo Piomelli, Canada Research Chair in Turbulence Simulation and Modelling, discusses the relationship between turbulent flow and the surfaces it interacts with as part of his research at the Turbulence Simulation Lab (TSL) at Queen's.

[ Yuri Levin with computer ]
November 1, 2014

Yuri Levin, a Distinguished Professor of Management Science and Operations Management at the Smith School of Business, is an expert in how massive sets of customer data can be used to strategically set prices, a practice known as “revenue management.”

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