معرفی
Y Charlie Hu is the Michael and Katherine Birck Professor of Electrical and Computer Engineering at Purdue University's College of Engineering. His research focuses on optimizing wireless networks, edge computing, and energy-efficient systems. He has contributed extensively to 5G network analysis, AR/VR systems, and mobile hardware optimization. Key projects include studies on 5G uplink performance, edge-assisted AR frameworks, and power modeling for mobile GPUs.
His technical expertise spans cellular network traffic modeling, real-time video analytics, and privacy mechanisms in mixed reality. He has pioneered methods for proactive resource scheduling in edge environments and developed tools for characterizing modem energy drain. Recent work explores the predictability of cellular network throughput using machine learning and the impact of multi-carrier access in 5G deployments.
Dr. Hu's research also addresses practical challenges like bystander privacy in AR systems and energy accounting in software applications. His work bridges theoretical network analysis with practical system implementations, emphasizing performance evaluation and optimization across heterogeneous computing environments.
