Faris Mismar

Senior Principal Consultant, Wireless And AI at Nokia Bell Labs

Dallas-Fort Worth Metroplex United States
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Summary

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Faris Mismar is a Senior Principal Consultant specializing in wireless systems and AI with a Ph.D. in Electrical and Computer Engineering from UT Austin and over two decades of industry experience across vendors, operators, and government. He builds practical AI-driven solutions—from generative AI consulting and reusable root-cause analysis libraries to mixed-integer programming for project scheduling—while advising C-suite and regulatory stakeholders globally. Faris has led product and transformation programs at Nokia Bell Labs, Samsung, Jio and Ericsson, delivered 5G/NR and O-RAN strategy and prototypes, and even consulted on lunar 3GPP infrastructure for peaceful use. He combines deep research credibility (teaching and course materials on deep learning for 5G) with hands-on delivery—automating workflows that achieved 30x speedups and shipping prototypes that entered product roadmaps. Based in the Dallas–Fort Worth area, he frequently bridges academia, industry and government, bringing a rare mix of technical depth, regulatory experience, and geo-aware data engineering. Notably, he founded Bell Labs’ Data Science and AI Community of Practice and routinely translates advanced ML into operational telecom outcomes.
code9 years of coding experience
job19 years of employment as a software developer
bookMaster of Business Administration - MBA, Master of Business Administration - MBA at The University of Texas at Dallas
bookDoctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at The University of Texas at Austin
languagesclassical arabic, Spanish, English
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Github Skills (29)

5g10
statistics10
wireless10
hypothesis-testing10
econometrics10
forecasting10
regression-models10
statistical-models10
statsmodels10
generalized-linear-models10
prediction10
deep-reinforcement-learning10
forecast10
data-science9
python9

Programming languages (2)

MATLABPython

Github contributions (5)

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Code for the following publication: F. B. Mismar, J. Choi, and B. L. Evans, "A Framework for Automated Cellular Network Tuning with Reinforcement Learning", IEEE Transactions on Communications, vol. 67, no. 10, Oct. 2019, pp. 7152-7167, DOI 10.1109/TCOMM.2019.2926715.
Contributions:24 commits, 19 pushes, 1 branch in 1 year 2 months
cellular-networkreinforcement-learning
Code for my publication: F. B. Mismar and B. L. Evans, "Deep Learning in Downlink Coordinated Multipoint in New Radio Heterogeneous Networks", IEEE Wireless Communication Letters, vol. 8, no. 4, Aug. 2019, pp. 1040-1043, DOI 10.1109/LWC.2019.2904686.
Contributions:60 commits, 52 pushes, 1 branch in 2 years 4 months
deep-learningwireless
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