Jia Xu

jia xu
Engineer; Professor, Pardee RAND Graduate School
Santa Monica Office

Education

Ph.D. in aero/astro, Stanford University; M.Sc. in advanced computational methods for aeronautics, Imperial College London; M.Sc. in international relations, London School of Economics and Political Science; B.S. in aerospace engineering, Georgia Tech

Overview

Jia Xu is an Engineer at RAND and a Professor at the Pardee RAND Graduate School. His research interests include aircraft design, unmanned air vehicles (UAV), operations research, optimization and scientific computing. At RAND, Xu has contributed to studies that examined combat search and rescue effectiveness, NASA's future flight test infrastructure, the robustness of the Air Force global mobility network and the design of distributed systems for future air dominance. Xu recently led the development an RAND's advanced air vehicle design too as well as a comprehensive study of the externalities of drone delivery in urban environments. Prior to joining RAND, Xu led the aerodynamic optimization of the Extend Range MQ-9 wing at General Atomics. Xu received his PhD in Aeronautics and Astronautics from Stanford. He also holds an MSc in Numerical Methods from Imperial College and an MSc in International Relations from the London School of Economics, both completed under the tenure of a Marshall Scholarship.

Honors & Awards

  • Marshall Scholarship

Commentary

  • An Australia Post drone is pictured during a delivery trial in Melbourne, April 15, 2016

    How to Prevent Drones Colliding in Crowded Skies

    The federal government should work with private firms to develop drone traffic management systems and test drone designs. This could help stimulate the development of drone aviation. It could also help modernize the air traffic control system.

    Sep 14, 2016 Newsweek

  • The DHL parcel service subsidiary of Deutsche Post AG tested a "microdrones md4-1000" for delivery of medicine

    Regulating Drone Airspace Using 'Smart Markets'

    With commercially operated autonomous drones potentially on the horizon, a policy problem is likely to emerge: allocation of scarce airspace and preferred flight paths. 'Smart markets' could help.

    Apr 19, 2016 TechCrunch

Publications

Multimedia