Summary
Junxiao Zhu is a Chief Scientist and machine learning specialist with nine years of experience translating advanced statistical and ML techniques into practical solutions for subsea and industrial applications. With a PhD in Mechanical Engineering from the University of Houston, he has led research that halved localization error on impact-detection problems and produced multiple top-tier publications while building custom DAQ systems and real-world deployments. He combines deep math and signal-processing expertise (wavelets, Hilbert transform, experimental design) with hands-on engineering in Python, Spark, Keras, MATLAB and NI hardware to move models from prototype to production. At SPL Leak Detection he applies that blend of research and product focus to commercial leak and impact detection systems, leveraging both classical methods and neural networks. Previously he scaled sales and technical teams in industry, showing an unusual mix of business development and technical leadership that helps bridge research to market.
9 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Mechanical Engineering, 3.8, Doctor of Philosophy (Ph.D.), Mechanical Engineering, 3.8 at University of Houston
Master of Science (MS), Electrical and Electronics Engineering, Master of Science (MS), Electrical and Electronics Engineering at University of Electronic Science and Technology
English, Chinese