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Speaker's Bio: Khalil Al Hussaeni is an Associate Professor of Computing Sciences at RIT Dubai. He received his Ph.D. degree in 2017 from the Faculty of Engineering and Computer Science, Concordia University, Montreal, Canada. His doctoral thesis proposed efficient and scalable techniques for anonymizing high-dimensional data. Dr. Al Hussaeni's Ph.D. thesis was ranked "Outstanding" (highest honor at the university level), and he was nominated for the Governor General's Gold Medal Award (most prestigious academic award across Canada).
Dr. Al Hussaeni's research interest goes under the umbrella of privacy-preserving data publishing. Particularly, this area of research targets anonymizing relational data, trajectories, data streams, and Big Data for various data mining tasks. He served as a reviewer for major venues, including The ACM International Conference on Information and Knowledge Management (CIKM), IEEE BigData, IEEE Transactions on Information Forensics and Security (TIFS), and IEEE Transactions on Knowledge and Data Engineering (TKDE).
Dr. Al Hussaeni was a member of the Data Mining and Security Laboratory research team at McGill University and a Research Assistant in the Computer Security Laboratory at Concordia University. He received his Master's degree in Information Systems Security in 2009 from Concordia Institute for Information Systems Engineering, Concordia University, Canada.