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Salama Ikki

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.


Andriy Miranskyy

Associate Professor
Department of Computer Science
Ryerson University

Main research interest lies in the area of quantifying and mitigating risks (in the broadest sense) associated with the Software Engineering process. Examples of risks are numerous:

  • Related to very large databases for Big Data been tested improperly, resulting in defect escapes and unplanned outages;
  • Tied to non-scalable algorithms for which it is impossible to determine root cause of system failure fast enough to preclude prolonged outages and customer dissatisfaction;
  • Connected with requirements creeping in late in the development cycle, overrunning original budget and schedule;
  • Linked to spikes in the number of defects rediscovered by clients, overloading support and maintenance personnel.
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