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Usama Masood

Principal AI Scientist | PhD, Machine Learning

AI Advisor

Building Domain-Aware and Context-Driven Artificial Intelligence Systems. Recognized with EB-1 and O-1A visas for extraordinary ability in sciences.

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Dr. Usama Masood - Principal AI Scientist
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About Me

I'm an Applied AI Scientist with over a decade of experience developing AI-driven solutions and leading cross-functional teams of data scientists, software engineers, and domain experts. My expertise lies in Domain-Aware and Context-driven Artificial Intelligence for scaling enterprise applications in dynamic and complex production environments.

At AT&T Labs, I play a key role in creating innovative AI-based tools to automate and optimize wireless networks, focusing on improving both operational efficiency and customer experience. One of my notable projects, "Agentic AI for RAN Diagnostics", leverages Agentic AI and deep domain knowledge to revolutionize root cause analysis of wireless network customer complaints.

I hold a PhD in Machine Learning from the University of Oklahoma, where my research centered on enhancing the generalizability and adaptability of AI systems in dynamic environments. Prior to joining AT&T, I worked at T-Mobile USA, developing large-scale AI solutions for network planning and troubleshooting within advanced wireless technologies.

Areas of Expertise

🤖 Agentic AI
🧠 Deep Learning
📡 5G/6G Networks
⚡ Network Automation
🔬 GenAI/LLMs
📊 Data Science

Experience

AT&T Labs, Inc.

Dallas, TX

Principal Member of Technical Staff

Jun 2024 - Present
  • Tech Lead and Solution Owner for Agentic AI for RAN Diagnostics project
  • Leveraging Multi-Agent orchestration and LLMs to revolutionize wireless network troubleshooting
  • Leading development of autonomous network diagnostics with domain-aware reasoning
  • Received multiple Excellence Awards for innovation in Agentic AI and GenAI Copilots

Lead Member of Technical Staff

Jul 2022 - Jun 2024
  • Developed Generative AI and LLM solutions for large-scale communications network datasets
  • Designed and deployed GenAI-powered RAN Engineer Copilot used by 300+ engineers
  • Built cloud-native geo-analytics platform for real-time visualization of terabytes of network data
  • Created multi-KPI analysis systems analyzing 100+ LTE and NR KPIs

T-Mobile

Bellevue, WA

Technology Strategist | AI/ML & 5G

May 2021 - Jul 2022
  • Led AI/ML automation projects for 5G RAN use-cases
  • Authored granted patent on performance issue identification in 5G networks
  • Developed mmWave 5G Fixed Wireless Access models for select US markets
  • Collaborated on O-RAN architecture and network automation strategies

University of Oklahoma

Tulsa, OK

Researcher, AI4Networks Center

Aug 2018 - Jul 2022
  • Conducted research on zero-touch automation in next-gen cellular networks
  • Dissertation: AI-based Network Modeling for Zero-Touch Automation
  • Contributed to $1M NSF-funded TurboRAN 5G Testbed design and rollout
  • Published 20+ papers in top-tier IEEE journals and conferences

Lahore University of Management Sciences

Lahore, Pakistan

R&D Engineer

Sep 2016 - May 2018
  • Developed cloud-based Spatio-Temporal Coverage Optimization System
  • Built solutions for mobile network operators to optimize coverage
  • Thesis: Spatio-Temporal Coverage Optimization for Mobile Networks

Riphah International University

Islamabad, Pakistan

Founding Engineer, EECS

Jun 2015 - Jul 2018
  • Pioneered the Electrical Engineering department labs
  • Published research on Deep Learning-based "Sleeping Cell" detection
  • Established foundational curriculum and research infrastructure

Education

🎓

Ph.D. in Electrical & Computer Engineering

University of Oklahoma

Machine Learning | CGPA: 4.0

Dissertation: Artificial Intelligence-based Network Modeling for enabling Zero Touch Automation in Next Generation Cellular Networks

🎓

M.S. in Electrical Engineering

Lahore University of Management Sciences (LUMS)

Wireless Networks, Stochastic Systems, Signal Processing

Thesis: Spatio-Temporal Coverage Optimization for Mobile Networks

🎓

B.S. in Electrical Engineering

University of Management & Technology (UMT)

Summa Cum Laude | IEEE Student Branch Executive Member

Patents

Identifying Performance Issues in 5G Wireless Networks

US 17/884,031 Granted Jan 2025

T-Mobile, USA

View Patent →

Communication Network Management Using Generative Large Language Model

US 18/389,706 Published

AT&T Labs, USA

View Patent →

Domain-Aware Cell Similarity Prediction Framework for Transfer Learning

PCT/US2025/032279 Filed

University of Oklahoma, USA

View Patent →

Radio Access Network Troubleshooting Assistant

US Application Pending

AT&T Labs, USA

View Patent →

Publications

1,236+ Total Citations
20+ Publications
11 h-index
114 citations

Towards using cough for respiratory disease diagnosis by leveraging Artificial Intelligence: A survey

Elsevier Informatics in Medicine Unlocked • 2022

Read Paper →
85 citations

Can machine learning be used to recognize and diagnose coughs?

IEEE EMBS International Conference on Biomedical & Health Informatics • 2020

Read Paper →
79 citations

A Machine Learning Based 3D Propagation Model for Intelligent Future Cellular Networks

IEEE Globecom • 2019

Read Paper →
41 citations

Toward Addressing Training Data Scarcity Challenge in Emerging Radio Access Networks: A Survey and Framework

IEEE Communications Surveys & Tutorials (Impact Factor: 35.6) • 2022

Read Paper →

Projects

☁️
2021 - 2022

Cloud-Native RAN Automation

Developed automatic multi-KPI analysis system using 100+ LTE and NR KPIs with Kubernetes-based scalable data pipelines.

Kubernetes ML Pipelines CI/CD
📶
2021 - 2022

mmWave 5G Fixed Wireless Access

Modeled T-Mobile mmWave 5G network for planning and strategy formulation of FWA service in select US markets.

5G mmWave RF Planning CPE
🔬
2020 - 2022

Learning from Sparse Data

Ericsson Research collaboration on few-shot learning and GANs for zero-touch automation. Published in IEEE COMST (IF: 35.6).

Few-shot Learning GANs Transfer
🌐
2019 - 2021

Digital Twin for 5G

Designed a fully automated 5G network digital twin for training AI models on network planning, optimization, and troubleshooting.

Digital Twin Simulation 5G
🔧
2018 - 2021

TurboRAN 5G Testbed

Design, planning and roll-out of 5G Testbed at OU-Tulsa campus for experimental research. $1M NSF grant.

NSF Funded 5G Testbed Research
💰 $1M NSF Grant
🛠️
2017 - 2021

Cell Outage Management

Advanced framework for automating cell outage detection and compensation in 5G heterogeneous networks. $500k NSF grant.

Self-Healing Deep Learning SON
💰 $500k NSF Grant

Awards & Recognition

🏆

Winner - Data & Business Intelligence Innovation Competition

AT&T

Developed innovative cloud-based geo-analytics solution for network improvement, now used by 300+ engineers nationwide.

🎖️

Excellence Award - GenAI Agent based RAN Engineer Copilot

AT&T Labs
🎖️

Excellence Award - Generative AI for RAN Tooling

AT&T Labs
🎖️

Excellence Award - Acceleration of Tooling Solutions

AT&T Labs
🎖️

Excellence Award - Innovative RAN Solutions

AT&T Labs

Skills & Expertise

🤖

AI & Machine Learning

Agentic AI Large Language Models (LLMs) Generative AI Deep Learning Reinforcement Learning Computer Vision Signal Processing
📡

Domain Expertise

5G/6G Networks O-RAN Architecture RAN Automation Network Analytics Digital Twins Self-Organizing Networks (SON)
🛠️

Tools & Technologies

Python PyTorch TensorFlow C++ MATLAB Git Kubernetes Azure Atoll

Professional Volunteering

🎯

Technical Program Committee (TPC) Member

IEEE - PIMRC, VTC

Reviewing peer-submitted research papers for flagship IEEE conferences in wireless communications and mobile technology.

📶

Member – WG2 and WG3

O-RAN ALLIANCE

Contributing to the standardization of Open Radio Access Network architecture through working groups focused on specifications and testing.

🌐

Member – OpenRAN 5G NR Project Group

Telecom Infra Project (TIP)

Collaborating on open, disaggregated, and standards-based technology solutions for 5G New Radio networks.

Certifications

📜

Building LLM Applications

Maven • Issued Jan 2024

Verify Certificate →

What Colleagues Say

"

It was a pleasure working with Usama when he was an intern at T-Mobile in 2021 and the first half of 2022. In addition to his deep and broad knowledge in Artificial Intelligence and Machine Learning, he is also knowledgeable in matters related to RF, 3GPP systems, and O-RAN architecture. This vast knowledge was the fount from which emerged creative ideas for projects. He did an excellent job putting together project proposals and slide decks, and communicating project details to multiple levels of management. Usama was very resourceful and reached out to, and engaged, the right teams and people across the company to advance projects. His hard work and dedication culminated with the submission of a patent application with the US PTO by the end of his internship. Without a doubt, Usama is a great addition to any technical team responsible for developing AI/ML solutions.

Oliver Coudert

Technology Strategist at T-Mobile

"

Usama is a very hard working and dedicated person. His work ethics at AI4Networks Center is commendable and is exemptional. His research as well as his critical thinking skill is one of the best I have seen so far. He has a very wide knowledge and deep understanding in the field of Artificial Intelligence applied to wireless cellular networks. He surely will be a good asset to any company.

Marvin Manalastas, PhD

Senior Research Specialist @ Nokia

"

I have worked alongside Usama in the same group at the University of Oklahoma. I have found Usama to be highly skilled with a strong understanding of the wireless networks along with deep learning algorithms which he often utilizes in his work. His range of skill set makes him a bright prospect in the 5G, AI domain.

Umair Hashmi, Ph.D., MBA

AI Data Management, LLMs, Federated Learning | Fulbright Alumnus

Get in Touch

I'm always interested in discussing research collaborations, consulting opportunities, or just connecting with fellow researchers and engineers. Feel free to reach out!

Open For

  • Board Advisory
  • Venture Partnering
  • AI Consulting
  • Speaking Engagements