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Ali Abedi 400x600

2022 Member-at-Large
Latin America/North America Region

Position Statement

It is my great honor to be nominated for this position. I have served IEEE at multiple levels in local chapters and sections, regional boards, and international committees at both MGA and TAB sides. Utilizing my experience in IEEE conference organization (IEEE WiSEE, Globecom, WCNC, VTC) and publications (Associate Editor, Guest Editor, and Publications Chair), I will strive to serve COMSOC members by sustaining successful best practices and streamlining publications process. This can be accomplished with close collaboration with various COMSOC boards, editors, and steering committees. I will make this new post-pandemic era of online and hybrid events my main priority to relearn members’ needs and interests, industry priorities, and develop implement strategies to address them accordingly. A reimagined and  expanded collaboration between conferences and publications with introduction of more special issues to provide timely archival publications is one strategy that can get us closer to this goal.


Ali Abedi received PhD in Electrical and Computer Engineering from University of Waterloo, Canada in 2004. He joined University of Maine in 2005, where he is currently Associate Vice President for Research and Professor of ECE. He was visiting Professor at the University of Maryland and Guest Researcher at NIST (2012) and Faculty Fellow at NASA (2016). Dr. Abedi has over 26 years of experience in industry and academia contributing to communications engineering with over 117 publications including 6 books with 44,235 downloads, 60 funded projects worth $34M, and mentoring 41 graduate students. He served as principal investigator for NASA’s inflatable lunar habitat wireless system (2008), Wireless Leak Detection System for International Space Station (2016 launch) and MESAT1, Maine’s first small satellite (2022). Dr. Abedi is CTO of the Activas Diagnostics company (est. 2010), pioneer in brain injury and Alzheimer’s disease detection using wireless sensors and artificial intelligence.