Summary
Zhenhua Li is an associate professor and founder with 10 years' experience applying machine learning, computer vision, and high-performance computing to real-world sensing and imaging problems. He combines deep academic expertise in exploration geophysics and applied mathematics with hands-on GPU and multi-threaded engineering to deliver millisecond-scale wave-propagation simulation and real-time monitoring systems. As founder of ShengMu he builds DFOS and vision-based solutions for highways and industry, and as a former team lead at Tetra Tech he developed a deep-learning pipeline for autonomous rail inspection. His background spans research commercialization—prototyping a SaaS backend during a postdoc—and end-to-end productization, making him adept at bridging theory, systems engineering, and field deployment. Based in Edmonton, Canada, he brings a pragmatic focus on performance and scalability that often uncovers novel algorithmic shortcuts for real-time inference.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Exploration Geophysics, Doctor of Philosophy (Ph.D.), Exploration Geophysics at University of Alberta
Master's degree, Exploration Geophysics, Master's degree, Exploration Geophysics at University of Petroleum (Beijing)
English, Chinese