Faris B. Mismar

	Faris B. Mismar Ph.D., MBA Machine Learning and Wireless Communications

Current Research

• Unsupervised learning in next-generation wireless communications.

• Next-generation radio resource management performance improvement.

News

• The journal paper "Intermodulation Interference Detection in 6G Networks: A Machine Learning Approach" is submitted to IEEE Communications Letters, 10/2021.

• My research reached 200 citations, 10/2021.

• The journal paper "Unsupervised Learning in Next-Generation Networks: Real-Time Performance Self-Diagnosis" is featured on Bell Labs website, 10/2021.

• The journal paper "Unsupervised Learning in Next-Generation Networks: Real-Time Performance Self-Diagnosis" is published in IEEE Communications Letters, 10/2021.

• I am appointed as an adjunct assistant professor of electrical and computer engineering at The University of Texas at Dallas, 09/2021.

• The journal paper "Unsupervised Learning in Next-Generation Networks: Real-Time Performance Self-Diagnosis" is submitted to IEEE Communications Letters, 04/2021.

Brief Biography

Faris B. Mismar received the B.S. degree with high distinction in electrical and computer engineering from The University of Jordan in 2004, the M.S. degree in electrical engineering and MBA degree 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 also served as a consultant for many leading wireless communications service providers in different continents. His research interests include machine learning, artificial intelligence, and wireless communications.

Resume and Publications

• My CV is available for view here.

• My publications can be viewed on Google Scholar.

• My source codes can be viewed on GitHub.