Muhammad Affan Javed

About Muhammad Affan Javed

As a Lead Member of Technical Staff at AT & T’s RAN Automation group, I specialize in developing AI/ML-driven solutions for optimizing cellular networks. With a Ph.D. from NYU Tandon School of Engineering, my expertise spans wireless system simulation (C++, Python, MATLAB) and deep learning for low latency, high bandwidth applications such as Extended Reality (XR). I am currently driving innovation on the AT & T Geo Modeler project—an AI-powered RF Digital Twin that enhances coverage prediction, real-time optimization, and automated network control by leveraging advanced ray-tracing and user behavior analysis. Passionate about bridging cutting-edge research and real-world impact, I focus on making next-generation wireless networks smarter and more adaptive.

Experience

1. Lead Member of Technical Staff

   AT&T

   Jun 2024 — Present · Bedminster, NJ, US

   Part of a large-scale initiative – AT & T Geo Modeler: an AI-enhanced ray-tracer which serves as an RF Digital Twin and aims to provide better coverage prediction, real-time optimization, and automated control of the AT & T cellular network- Working on AI/ML models for optimization of the cellular network based on user mobility, traffic patterns, and QoS constraints

Education

• The City School

  GCE O'levels

  2009 — 2011

• New York University

  Doctor of Philosophy (Ph.D.), Electrical Engineering

• Lahore Grammar School

  GCE A'levels

  2009 — 2011

• Lahore University of Management Sciences

  Bachelor of Science, Electrical Engineering

  2011 — 2015

• New York University

  Master of Science, Electrical Engineering