Summary
Wang Hu is an applied scientist with eight years of experience specializing in multi-sensor integration, robust localization, and high-precision GNSS algorithms, currently working on Prime Air navigation for drone delivery at Amazon in Bellevue. He holds a Ph.D. in Electrical and Computer Engineering from UC Riverside and has a track record of translating research into production: at Google he boosted positioning performance by over 60% through EKF and carrier-phase innovations and built realtime Java/Python tooling and tests for Android Location. His work spans academia and industry—postdoc research funded by USDOT CARNATIONS and multiple stints on Google’s Android Location and Context team—bridging rigorous evaluation with deployable systems. Notably, he virtualized SDC datasets for robust outlier rejection achieving >90% success and contributed thousands of lines of code plus extensive testing to hardened location libraries. Based in Bellevue, he combines sensor-fusion theory with pragmatic engineering to improve navigation reliability in automotive, survey, and drone contexts.
8 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at University of California, Riverside
Bachelor of Engineering - BE, Electronic and Information Engineering, Bachelor of Engineering - BE, Electronic and Information Engineering at North China Electric Power University (NCEPU)