Summary
Duo Lu is an Assistant Professor at Rider University with eight years of experience bridging academic research and hands-on systems engineering in AI, robotics, computer vision, and Intelligent Transportation Systems. He has published a dozen papers and a book while co-leading NSF-funded projects and mentoring multiple student research efforts and thesis students. His background spans embedded systems, RTOS and kernel-level networking work to Python-based deep learning prototypes for traffic analysis and facial animation, giving him rare fluency across hardware, low-level software, and ML stacks. At Rider he teaches a broad suite of courses from machine learning to parallel systems, and he brings an applied, ethics-minded perspective to preparing students for real-world deployment challenges. An under-the-radar strength is his history of building production-oriented prototypes—zero-copy packet drivers, Robot-as-a-Service fleets, and video-based ITS tools—that turn research into usable systems.
8 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at Arizona State University
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Shanghai Jiao Tong University
Chinese, English