Usman Fiaz
Global Robotics & Physical AI Manager at EY
Atlanta, Georgia, United States
Summary
👤
Senior🎓
Top SchoolUsman Fiaz is a robotics and physical AI leader with over a decade of experience spanning academia, national labs, and industry, now shaping global Robotics & Physical AI strategy at EY. He holds a PhD in Electrical Engineering from the University of Maryland where his dissertation advanced assured autonomy for multiagent systems with real-time temporal and spatial safety guarantees. At NIST he translated theory into benchmarks, hardware-software implementations, and led teams on autonomous vehicles and AV program experiments, while maintaining academic collaborations and teaching roles. His background includes hands-on contributions to UAV design, aerial grasping, Sim2Real driving-policy transfer, and FPGA work at CERN, reflecting a rare blend of formal methods, control theory, and practical system-building. Colleagues know him for coupling rigorous verification approaches with intelligent mechanical and perception-aware design to enable safe learning in physical systems. He combines deep research pedigree with product-minded delivery, making him effective at moving advanced autonomy from lab prototypes toward real-world deployment.
8 years of coding experience
7 years of employment as a software developer
Master of Science - MS, Electrical Engineering, Master of Science - MS, Electrical Engineering at KAUST (King Abdullah University of Science and Technology)HSSC, Pre-Engineering, HSSC, Pre-Engineering at KRL Model CollegeDoctor of Philosophy - PhD, Electrical Engineering, Doctor of Philosophy - PhD, Electrical Engineering at University of MarylandBachelor of Science - BS, Electrical Engineering, Bachelor of Science - BS, Electrical Engineering at Pakistan Institute of Engineering & Applied Sciences (PIEAS)
English, Urdu
Github Skills (5)
robot10
smartphone10
arduino9
robotics9
android8
Programming languages (3)
Github contributions (5)
usman094/OpenBot
Aug 2021 - Aug 2025
OpenBot leverages smartphones as brains for low-cost robots. We have designed a small electric vehicle that costs about $50 and serves as a robot body. Our software stack for Android smartphones supports advanced robotics workloads such as person following and real-time autonomous navigation.
Contributions:8 PRs, 173 pushes, 2 branches in 4 years
serveslow-costrobotsnavigationreal-time
usman094/ch-1-3
Jun 2019 - Jun 2020
Project files for MBZIRC2017 Challenge 1 and 3
Contributions:7 commits, 7 pushes in 1 year
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