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Ekram Hossain

Ekram Hossain (IEEE Fellow) is a Professor in the Department of Electrical and Computer Engineering at University of Manitoba, Canada. He is a Member (Class of 2016) of the College of the Royal Society of Canada. Dr. Hossain's current research interests include design, analysis, and optimization of wireless, mobile, cognitive, and green communication networks with emphasis on beyond 5G cellular networks. To date, his research works have received 23,000+ citations (in Google Scholar, with h-index = 77). He was elevated to an IEEE Fellow “for contributions to spectrum management and resource allocation in cognitive and cellular radio networks". He received the 2017 IEEE ComSoc TCGCC (Technical Committee on Green Communications & Computing) Distinguished Technical Achievement Recognition Award “for outstanding technical leadership and achievement in green wireless communications and networking”. He was listed as a Clarivate Analytics Highly Cited Researcher in Computer Science in 2017 and  2018. Dr. Hossain has won several research awards including the “2017 IEEE Communications Society Best Survey Paper Award”, IEEE VTC 2016-Fall “Best Student Paper Award” as a co-author, IEEE Communications Society Transmission, Access, and Optical Systems (TAOS) Technical Committee's Best Paper Award in IEEE Globecom 2015, University of Manitoba Merit Award in 2010, 2013, 2014, and 2015 (for Research and Scholarly Activities), the 2011 IEEE Communications Society Fred Ellersick Prize Paper Award, and the IEEE Wireless Communications and Networking Conference 2012 (WCNC'12) Best Paper Award. Currently he serves as the Editor-in-Chief of IEEE Press. Previously he served as the Editor-in-Chief for the IEEE Communications Surveys and Tutorials (2012-2016), Area Editor for the IEEE Transactions on Wireless Communications in the area of “Resource Management and Multiple Access'' (2009-2011), an Editor for the IEEE Transactions on Mobile Computing} (2007-2012), and an Editor for the IEEE Journal on Selected Areas in Communications - Cognitive Radio Series (2011-2014). He is a Distinguished Lecturer of the IEEE Vehicular Technology Society. Also, he is an elected member of the Board of Governors of the IEEE Communications Society for the term 2018-2020.

Lecture Topics
  • Mobile Edge Computing (MEC):  Computation Offloading and Activation of MEC Servers
  • Machine Learning for Wireless Networks: Basics, Applications, and Trends
  • Stochastic Geometry Modeling and Analysis of Wireless Networks
  • Massive Wireless Connectivity and Non-Orthogonal Multiple Access (NOMA)
  • Game Theory for Wireless Networks
  • Dynamic Spectrum Access in Cognitive Radio Networks
  • Energy Harvesting in Wireless Networks and and Self-Sustainability
Virtual Lecture Topics
  • Machine Learning for Wireless Communications Systems
  • Stochastic Geometry-Based Modeling and Analysis of large-Scale Cellular Wireless Networks
  • Computation offloading in mobile edge and fog computing systems
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