Summary
Yuan-yao Lou is a PhD candidate in Computer Engineering at Purdue University, specializing in edge computing, MEC/O-RAN architectures, and AI-powered orchestration for 5G and autonomous systems, with over a decade of related experience. As a Graduate Research Assistant under Professors Mung Chiang and Kwang Taik Kim, he designs open-edge platforms, analyzes trade-offs in RAN architectures, and experiments with deep reinforcement learning in containerized edge environments. He has hands-on experience building cloud-native microservices and multi-tier edge testbeds, including deployments on CBRS 4G networks and offloading frameworks. Across academia and industry, he has led and mentored teams of 10+ engineers and collaborated with international partners on AIoT and Industry 4.0 projects. His research has yielded practical improvements in latency, energy efficiency, and system reliability, with publications in IEEE and ACM venues and presentations at WF-IoT. Based in West Lafayette, Indiana, he thrives at the intersection of research, development, and deployment, turning complex edge computing challenges into scalable solutions.
10 years of coding experience