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Ontario Tech acknowledges the lands and people of the Mississaugas of Scugog Island First Nation.

We are thankful to be welcome on these lands in friendship. The lands we are situated on are covered by the Williams Treaties and are the traditional territory of the Mississaugas, a branch of the greater Anishinaabeg Nation, including Algonquin, Ojibway, Odawa and Pottawatomi. These lands remain home to many Indigenous nations and peoples.

We acknowledge this land out of respect for the Indigenous nations who have cared for Turtle Island, also called North America, from before the arrival of settler peoples until this day. Most importantly, we acknowledge that the history of these lands has been tainted by poor treatment and a lack of friendship with the First Nations who call them home.

This history is something we are all affected by because we are all treaty people in Canada. We all have a shared history to reflect on, and each of us is affected by this history in different ways. Our past defines our present, but if we move forward as friends and allies, then it does not have to define our future.

Learn more about Indigenous Education and Cultural Services

August 22, 2012

Speaker: Prof. Pradeep K. Atrey, Associate Professor (Applied Computer Science), University of Winnipeg, Manitoba

Title: Secure Cloud-based Medical Data Visualization

Abstract: Using server-side rendering for remote data visualization may introduce significant latency, preventing interactive, real-time medical image analysis. To reduce interaction latency, cloud-based visualization services can be engaged to render data on data centres that are geographically closer to the client. For visualization of medical data, however, such cloud-based architecture presents new security and privacy challenges. To overcome this security issue, we propose a new technique for cloud-based remote medical data visualization that protects the security of medical data in cloud data centres. To achieve this, we integrate secret sharing with pre-classification volume ray-casting and propose a novel secured volume ray-casting technique that hides the colour coded information of the original medical data during the data rendering step at the data centres. Experiments and analysis show that our proposed method is highly secure, incurs insignificant computational overhead, and can be optimized to provide low visualization latency in the presence of high network bandwidth.

Biography: Pradeep K. Atrey is an Associate Professor at the University of Winnipeg, Canada. He received his PhD in Computer Science from the National University of Singapore. He was a Postdoctoral Researcher at the Multimedia Communications Research Laboratory, University of Ottawa, Canada. His current research interests are in the area of Multimedia Computing with a focus on Multimedia Surveillance and Privacy, Image/Video Security, Social Media, and Web. He has authored/co-authored over 65 research articles at reputed ACM, IEEE, and Springer journals and conferences. Dr. Atrey is on the editorial board of several journals including ACM Trans. on Multimedia Computing, Communications and Applications and ETRI Journal. He has been associated with over 20 international conferences in various roles such as General Chair, Program Chair, Publicity Chair, Web Chair, and TPC Member. Dr. Atrey was a recipient of the ETRI Journal Best Reviewer Award (2009) and the University of Winnipeg Merit Award for Exceptional Performance (2010). He was also recognized as ICME 2011 - Quality Reviewer.