Faris B. Mismar

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

Current Research

• Unsupervised learning in next-generation wireless communications.

• Next-generation radio resource management performance improvement.

News

• I gave a virtual talk on the topic of data science to select faculty members from University of Jordan, School of Computer Engineering, 5/2022.

• My paper "Intermodulation Interference Detection in 6G Networks: A Machine Learning Approach" (invited paper) to appear in IEEE 95th Vehicular Technology Conference Workshops: VTC2022-Spring, 4/2022.

• My course on Deep Learning for 5G will be offered as a special topics graduate course EESC 7v85 in Fall 2022.

• I am appointed as a Senior Principal Wireless Consultant (vice president level) at Nokia Bell Labs, 1/2022.

• 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.

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 was elevated to IEEE Senior Member in 2017. Dr. Mismar also consulted on behalf of many leading wireless communications service providers in different continents. His research interests are in the area of radio resource management in wireless communications using machine learning and artificial intelligence.

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.