Title: 5th Generation Wireless Communications Challenges Including Smart Grids and their Security
Salama S. Ikki received the B.S. degree from Al-Isra University, Amman, Jordan, in 1996, the M.Sc. degree from The Arab Academy for Science and Technology and Maritime Transport, Alexandria, Egypt, in 2002, and the Ph.D. degree from Memorial University, St. Johns, NL, Canada, in 2009, all in electrical engineering. From February 2009 to February 2010, he was a Postdoctoral Researcher at the University of Waterloo, ON, Canada. From February 2010 to December 2012, he was a Research Assistant with INRS, University of Quebec, Montreal, QC, Canada. He is currently an Associate Professor of wireless communications with Lakehead University, Thunder Bay, ON, Canada. He is the author of 100 journal and conference papers and has more than 3200 citations and an H-index of 29. His research interests include cooperative networks, multiple-input-multiple-output, spatial modulation, and wireless sensor networks. Dr. Ikki has served as a Technical Program Committee member for various conferences, including IEEE International Conference on Communications, IEEE Global Communications Conference, IEEE Wireless Communications, and Networking Conference, IEEE Spring/Fall Vehicular Technology Conference, and IEEE International Symposium on Personal, Indoor, and Mobile Communications. He currently serves on the Editorial Board of IEEE COMMUNICATIONS LETTERS and Institution of Engineering and Technology Communications. He received a Best Paper Award for his paper published in the EURASIP Journal on Advanced Signal Processing. Dr. Ikki also received an IEEE Communications Letters, IEEE Wireless Communications Letters and IEEE Transactions on Vehicular Technology exemplary reviewer certificates for 2012, 2012 and 2014, respectively.
Department of Computer Science
Title :Processing of streaming data: challenges and solutions
Streaming analytics is playing an important role in solving problems in various domains, e.g., monitoring climate, fraud detection, and health management. Thus, generating a scalable and flexible architecture for analysis of streaming data is critical to success of many endeavours. However, no general model to tackle this task exists. In this talk, we will discuss challenges (such as scalability, maintainability, and privacy preservation) and potential solutions to these challenges.
Andriy Miranskyy is an associate professor at the Department of Computer Science, Ryerson University. His research interests are in the area of mitigating risk in software engineering, focusing on software quality assurance, program comprehension, software requirements and architecture, project risk management, Big Data Systems, and Green IT. Andriy received his Ph.D. in Applied Mathematics at the University of Western Ontario. He has 20 years of software engineering experience in information management and pharmaceutical industries. Prior to joining Ryerson, Andriy worked as a software developer in the IBM Information Management division at the IBM Toronto Software Laboratory; currently, he is the Faculty Fellow of the IBM Centre for Advanced Studies. He has served as a guest editor for several journals, as well as an organizer, committee member, and reviewer for several international software engineering workshops and conferences.