Summary
Liang Hu is a Senior Researcher with a Ph.D. in Transportation Engineering and eight years of experience applying operations research and mathematical modeling to intelligent transportation systems, smart cities, and cloud computing. At Huawei he translates optimization research into product R&D, while his academic work produced measurable gains—e.g., a 16% system efficiency improvement in taxi assignment and a 26% increase in EV charger utilization. Proficient in Python and R, he has combined ILP/MILP, queuing theory, agent-based simulation, and deep learning to solve large-scale mobility problems, including a crash-prediction model that achieved 98.6% accuracy. His background spans national labs, industry R&D, and hands-on deployments such as a campus car-sharing system and GM’s car-sharing optimization. Based in Canada, he blends rigorous academic research with production-oriented engineering, and has a knack for turning complex transportation data into fast, deployable algorithms.
8 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Transportation Engineering, Doctor of Philosophy (Ph.D.), Transportation Engineering at Iowa State University
Master of Science (M.S.), Automotive Engineering, Master of Science (M.S.), Automotive Engineering at Tongji University
Bachelor of Science (B.S.), Automotive Engineering Technology/Technician, Bachelor of Science (B.S.), Automotive Engineering Technology/Technician at China Agricultural University
English, Chinese