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Faris B. Mismar Ph.D., MBA [LinkedIn]Machine Learning and Wireless CommunicationsConsultant, Educator, and Researcher |
Intelligent spectrum allocation for both terrestrial and non-terrestrial networks (NTN) for 6G.
Generative AI for network design and performance optimization.
I have been appointed to the IEEE ComSoc distinguished lecturer class of 2026-27, 12/2025.
My patent US012463713B2 on NTN has been issued by the USPTO, 11/2025.
I have been appointed to the IEEE Transactions on Machine Learning in Communications and Networking Editorial Board, 9/2025.
My research reached 800 citations, 7/2025.
My research reached 700 citations, 12/2024.
I am offering a course EESC 7v86 "Special Topics in Wireless Communications: Deep Learning in 5G" at UT Dallas in Spring 2025.
I have been promoted to an Adjunct Associate Professor of Electrical and Computer Engineering at The University of Texas at Dallas, 11/2024.
My paper "Adaptive Compression of Massive MIMO Channel State Information with Deep Learning" has been published to IEEE Networking Letters Special Issue on AI for 6G Networks, 10/2024.
My paper "Uncoordinated Interference Avoidance Between Terrestrial and Non-Terrestrial Communications", has been published to the proceedings of IEEE International Conference on Communications, 8/2024.
My research reached 600 citations, 5/2024.
I am featured on UT Dallas ECE | Adjunct Faculty page, 3/2024.
My research reached 500 citations, 9/2023.
My paper "Deep Learning for Multi-User Proactive Beam Handoff: A 6G Application" has been published, 5/2023.
I have been recognized as a Nokia Bell Labs Distinguished Member of Technical Staff for my technical contributions in wireless communications and machine learning (top 0.3%), 4/2023.
I am featured on Nokia Bell Labs website, 10/2022.
Dr. Faris B. Mismar is a technical leader, consultant, and adjunct associate professor of electrical and computer engineering. He received the B.S. degree with high distinction in computer engineering from the University of Jordan in 2004, the M.S. degree in electrical engineering and MBA degree both with the highest distinction from the University of Texas at Dallas in 2011 and 2014, and the Ph.D. degree in electrical and computer engineering from the University of Texas at Austin in 2019. He was the recipient of the 2016 and 2017 Marcus Wallenberg Foundation Scholarship for Scientific Research and Education. Dr. Mismar held various senior positions and leadership roles at Motorola, Ericsson, Samsung, and Nokia. He was elevated to IEEE Senior Member in 2017 and was recognized as a Nokia Bell Labs Distinguished Member of Technical Staff in 2023. He is currently a Senior Principal Consultant at Nokia Bell Labs and an adjunct faculty member at the University of Texas at Dallas. His research interests include machine learning, artificial intelligence, and wireless communications.
Faris B. Mismar received the B.S. degree with high distinction in Computer Engineering from the University of Jordan in 2004, the M.S. degree in Electrical Engineering and the MBA degree---both with highest distinction---from The University of Texas at Dallas in 2011 and 2014, respectively, and the Ph.D. degree in Electrical and Computer Engineering from The University of Texas at Austin in 2019.
From 2004 to 2008, Dr. Mismar was a Telecommunications Engineer with Motorola. From 2009 to 2018, he held senior technical and leadership roles at Ericsson, including Senior Solutions Manager for Radio Access Networks. From 2019 to 2020, he served as Director of Radio Performance Assurance and Engineering at Samsung Electronics America. He joined Nokia in 2020 as Head of Data Science and Analytics Practice for Mobile Networks. Since 2022, he has been a Senior Principal Consultant with Nokia Bell Labs Consulting, based in Dallas, TX.
Dr. Mismar joined the Electrical Engineering and Computer Science Department at The University of Texas at Dallas as an Assistant Adjunct Professor in 2021 and has served as an Associate Adjunct Professor since 2024. He is the author of more than ten IEEE journal and conference publications with over 850 citations. His research interests span radio resource management, performance optimization and root-cause analysis, and the application of machine learning and artificial intelligence (AI) to cellular, non-terrestrial, and emerging wireless networks. His research has directly influenced 3GPP standardization, including technical impact on conditional handovers in 3GPP TS 28.313. He holds three granted patents with several pending and has led or contributed to over 100 large-scale telecommunications and AI projects worldwide. He has served as an Associate Editor of IEEE Transactions on Machine Learning in Communications and Networking since 2025.
Dr. Mismar received the University of Jordan Award for Excellence in 2004 and the Marcus Wallenberg Foundation Scholarship for Scientific Research and Education in 2016 and 2017. He became an IEEE Senior Member in 2017 and received the Nokia Bell Labs Distinguished Member of Technical Staff Award in 2023 (top 0.3%) for "sustained contributions with proven impact" in telecommunications and AI. He is serving as an IEEE Communications Society Distinguished Lecturer in 2026-2027.
My CV is available for view here.
My publications can be viewed on Google Scholar.
My source codes can be viewed on GitHub.
My source code that constructs MIMO wireless communication systems for deep learning has been released. The webpage of the course I developed and taught, the source code, the presentation slides, and a quick primer are available here.
Contributions to Google Translate (English-Arabic, Arabic-English, and Spanish-Arabic) and Wikipedia Arabic (grammar edits).
Poetry (traditional/classical, 2000-present). Available: here.
Calligraphy (Arabic/Ottoman).
Preservation of Arabic 8-bit Atari software.
Algorithms on the detection of Arabic (and oriental) musical scales (Maqām).
Google voice: +1 (972) 836-6995
𝕏: @farismismar
Last updated: January 31, 2026. Copyright © 2019-.