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The opportunity to build computational tools that are precise and effective

From cloud-based service selection and recommendation, to improving network security, to behavior analytics for social networks like Facebook—there is an increasing demand for new systems that address issues in the digital cloud. Our students have the opportunity to develop tools that can address challenges found in telecommunication networks and mobile systems by using algorithms and software development frameworks. By creating new protocols, we can make networks sturdier and more efficient. And by studying clickstream data, we can effectively pinpoint behavioral trends in social network discourse. This groundbreaking research has the potential to protect sensitive data, improve efficiency in business, and enhance personal communication. By developing these tools, our students are able to directly address real-world problems presented by our partners in industry, government and business. The possibilities are limitless.

Tracking The Mind: Measuring Social Media Behaviour  

Can we predict how humans will behave? And if we track those behaviors on social media, can we use that information to guide how we do business? Professor Cherie Ding is developing tools that can harness the staggering power of recommendation systems based on data analysis.

Professor Ding received her BSc. and MSc. degree from Nanjing University and PhD degree from the National University of Singapore. She joined the Department of Computer Science at Ryerson University in 2003, where she holds the rank of professor.

Her research interests are in the areas of service computing, data analytic services in the cloud, recommendation systems, social network analysis, and Quality of Services.

A primary focus of her work is on cloud-based service selection and recommendation, and behavior analytics for social networks, such as Facebook. Her current research projects, funded by the NSERC (Natural Sciences and Engineering Research Council of Canada) and CFI (Canada Foundation for Innovation), examine quality recommendation for software service provisioning and quality-of-service-based web service selection and ranking.

Stop the Thief: Using New Protocols to Protect Sensitive Data

Data security is an issue of considerable national and international importance. When security is compromised and sensitive data is released, these attacks on networks can prove disastrous.

Professor Isaac Woungang’s interest in networking technology focuses his students’ efforts on creating tools that address improving the Quality of Service, security and sustainability of wireless networks. He is the Director of Ryerson’s Distributed Applications and Broadband NEtworks Laboratory (DABNEL), whose goal is to address some of the challenges found in telecommunication networks and mobile systems—using algorithms and software development frameworks.

“Our contribution to the field of networks security will be the provision of methods and guidelines for controlling and protecting networks from any miscreant," says Woungang. DABNEL has done groundbreaking work on wireless ad hoc networks, and has created new protocols that make stronger and less susceptible to attack.

Dr. Woungang received his M.Sc and Ph.D degrees, all in Mathematics from Université de la Méditerranée-Aix Marseille II, France, and Université du Sud, Toulon-Var, France, in 1990 and 1994 respectively. In 1999, he received a M.A.Sc from INRS-Énergie, Matériaux et Télécommunications,University of Quebec, Montreal, Canada. From 1999 to 2002, he worked as a Software Engineer at Nortel Networks. Since 2002, he has been with the Department of Computer Science at Ryerson University.

His work has resulted in the development of robust network systems that are well-equipped to withstand the wiliest external attacks.