Long Lu is a VP of Digital Development and Chief Digital Safety & Security Officer at NIO, leading global teams that build the company's data/AI/cloud infrastructure while ensuring enterprise, product and vehicle-level safety across E/E systems and autonomous features. A former tenured computer science professor with a Georgia Tech Ph.D., he translates deep academic research in systems and software security into production-grade protections adopted by major tech firms. He combines strategic leadership in digitalization—spanning product design, smart manufacturing, supply chain and finance—with hands-on engineering expertise in cloud-native and edge computing. An active open-source contributor, he has improved KubeEdge installation and edge routing tooling, reflecting a practical focus on resilient distributed systems. Based in Shanghai, he uniquely blends rigorous research accolades (NSF CAREER, Air Force and Google awards) with enterprise-scale delivery in the automotive and fintech domains.
9 years of coding experience
14 years of employment as a software developer
Ph.D. Computer Science, Ph.D. Computer Science at Georgia Institute of Technology
Bachelor Computer&Network Security, Bachelor Computer&Network Security at Shanghai Jiao Tong University
Kubernetes Native Edge Computing Framework (project under CNCF)
Role in this project:
Backend Developer
Contributions:32 reviews, 8 commits, 15 PRs in 1 year 3 months
Contributions summary:Long primarily contributed to the `keadm` tool, focusing on improving the KubeEdge installation process. Their commits included checksum validation for downloaded files, retry mechanisms for downloads, and fixes related to custom labels in the join command. Furthermore, the user enhanced the servicebus module, introducing enhancements to router functionality. Their work also involved modifications to edgecore configuration and node label management.
Contributions:7 pushes, 1 branch in 2 years 3 months
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