Mr. Yuanfang Han | Bottleneck Analysis | Best Researcher Award

Beijing University of Posts and Telecommunications | China

Mr. Yuanfang Han is a Master’s degree candidate and researcher at the School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, specializing in network performance diagnosis and optimization. His research expertise spans passive traffic analysis, application performance management (APM) metrics, and machine-learning-based anomaly detection, with a strong focus on developing non-intrusive methods for identifying and addressing server bottlenecks in complex environments. He is the principal developer of the Cross-Environment Server Diagnosis with Fusion (CSDF) system, a packet-capture-based framework that integrates one-to-one traffic replay with random-forest-driven metric attribution to achieve high-precision performance insights. Validated in collaboration with China Tower Corporation Limited, this system has demonstrated high cross-environment request alignment accuracy, identified bottlenecks with strong correlation, and reduced average response times in production-grade deployments, marking a significant contribution to the efficiency and reliability of large-scale network systems. His research findings have been published in Electronics in the article “A Non-Intrusive Approach to Cross-Environment Server Bottleneck Diagnosis via Packet-Captured Application Latency and APM Metrics,” co-authored with leading experts in the field. Beyond academic publishing, he has been actively involved in joint research projects with industry partners, conducting large-scale traffic capture and replay experiments that validate his theoretical models in real-world scenarios. As an IEEE Student Member, Mr. Han continues to expand his work on host–network correlation analysis and traffic-based anomaly detection, striving to build scalable, intelligent frameworks that bridge the gap between academic innovation and enterprise-level network performance optimization.

Profile: Orcid

Featured Publication

Han, Y., Zhang, Z., Li, X., Zhao, J., Gu, R., & Wang, M. (2025). A non-intrusive approach to cross-environment server bottleneck diagnosis via packet-captured application latency and APM metrics. Electronics, 14(19), 3824.